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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2025.1661414</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Psychometric development of a moral distress scale for healthcare education and practice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liao</surname> <given-names>Hung-Chang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1920527/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Ya-Huei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Health Policy and Management, Chung Shan Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Medical Management, Chung Shan Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Applied Foreign Languages, Chung Shan Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Medical Humanities, School of Medicine, Chung Shan Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Medical Education, Chung Shan Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/314202/overview">Dubravka Svetina Valdivia</ext-link>, Indiana University Bloomington, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/491548/overview">Maria Rita Sergi</ext-link>, Universit&#x00E0; degli Studi &#x201C;Gabriele d&#x2019;Annunzio&#x201D;, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3174928/overview">Mehrdad Esmailian</ext-link>, Isfahan University of Medical Sciences, Iran</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ya-Huei Wang, <email>yhuei@csmu.edu.tw</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1661414</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Liao and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liao and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Unaddressed moral distress may result in psychological, emotional, and physical consequences. The study was to develop and validate a Moral Distress Scale for Healthcare Students and Providers (MDS-HSP) within the Taiwanese healthcare education and clinical contexts, providing a framework for administrators and policymakers to recognize and respond to moral distress in training and practice settings.</p>
</sec>
<sec>
<title>Methods</title>
<p>Following an extensive literature review and expert discussions, the study performed an exploratory factor analysis (EFA) using SPSS with a sample of 332 participants to determine the hidden structure of the MDS-HSP and evaluate its initial psychometric properties. A subsequent confirmatory factor analysis (CFA) using AMOS with a separate sample of 240 participants was performed to verify the identified factor structure. The testing process included the assessments of validity, reliability, and goodness-of-fit analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>Following the EFA, the initial 72 items were refined to 42 items across six factors: &#x201C;acquiescence to patients&#x2019; rights violations&#x201D; (8 items), &#x201C;lack of professional competence&#x201D; (9 items), &#x201C;disrespect for patients&#x2019; autonomy&#x201D; (10 items), &#x201C;futile treatment&#x201D; (5 items), &#x201C;organizational and social climate&#x201D; (6 items), and &#x201C;not in patients&#x2019; best interest&#x201D; (4 items). The CFA confirmed the same six scale factors and 42 items. Both EFA and CFA supported the proposed factor structure and demonstrated adequate validity and reliability.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The study provided empirical evidence supporting the MDS-HSP as a reliable tool for assessing moral distress experienced by healthcare students and providers. Its use may inform educational strategies, institutional policies, and ethical support mechanisms within healthcare and academic settings.</p>
</sec>
</abstract>
<kwd-group>
<kwd>moral distress</kwd>
<kwd>scale development</kwd>
<kwd>healthcare education</kwd>
<kwd>psychometric validation</kwd>
<kwd>factor analysis</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="80"/>
<page-count count="13"/>
<word-count count="8898"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Quantitative Psychology and Measurement</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1 Introduction</title>
<p>As medical technology and information continue to advance rapidly, healthcare professionals are increasingly confronted with complex caregiving demands, often within the constraints of limited resources and the pressure for cost-efficiency. In such high-stakes environments, ethical ideals often collide with the complexities of real-world clinical environments (<xref ref-type="bibr" rid="B70">Topol, 2013</xref>). However, many institutions still lack standardized ethical guidelines to navigate these challenges, leaving caregivers feeling overwhelmed, helpless, and demoralized. As a result, healthcare providers often find themselves disoriented and emotionally distressed when making decisions in morally ambiguous situations (<xref ref-type="bibr" rid="B4">Austin et al., 2017</xref>; <xref ref-type="bibr" rid="B33">Hamric and Blackhall, 2007</xref>).</p>
<p><xref ref-type="bibr" rid="B41">Jameton (1984)</xref> first introduced moral distress and described it as the psychological discomfort of knowing the morally appropriate course of action to take but failing to act on it because of external constraints. In examining the impacts of moral distress on neonatal intensive care unit nurses, <xref ref-type="bibr" rid="B41">Jameton (1984)</xref> highlighted how institutional or systemic barriers can hinder nurses from delivering optimal care but feel compelled to carry out actions they consider morally wrong. The definition of moral distress has been expanded over time to encompass a wider range of ethical challenges, including the psychological and physical tolls that result from such distress. Moral distress emerges when individuals are forced to act against their moral beliefs, preventing them from upholding their core values and resulting in a sense of powerlessness to alter the situation (<xref ref-type="bibr" rid="B29">Godshall, 2021</xref>; <xref ref-type="bibr" rid="B42">Jameton, 1993</xref>; <xref ref-type="bibr" rid="B64">Salari et al., 2022</xref>). In healthcare, moral distress arises primarily when professionals must administer treatments that they know are ineffective or do not serve the patient&#x2019;s best interests, especially true in circumstances of futile medical care (<xref ref-type="bibr" rid="B62">Rice et al., 2008</xref>). This type of distress is prevalent among nurses working in high-pressure settings such as acute care units, obstetrics, pediatric wards, and acute psychiatric departments (<xref ref-type="bibr" rid="B27">Ferrell, 2006</xref>; <xref ref-type="bibr" rid="B44">Jansen et al., 2020</xref>). Compared to other healthcare professionals, nurses tend to experience moral distress both more frequently and intensely (<xref ref-type="bibr" rid="B18">Corley, 2002</xref>; <xref ref-type="bibr" rid="B33">Hamric and Blackhall, 2007</xref>; <xref ref-type="bibr" rid="B67">Sporrong et al., 2006</xref>).</p>
<p>Moral distress impacts not only nurses but also other healthcare providers, including doctors, physiotherapists, occupational therapists, speech therapists, pharmacists, dietitians, etc., (<xref ref-type="bibr" rid="B12">Brazil et al., 2010</xref>; <xref ref-type="bibr" rid="B32">Hamric, 2010</xref>; <xref ref-type="bibr" rid="B72">Ulrich and Grady, 2018</xref>). It presents a significant challenge for healthcare providers, particularly those working in high-pressure environments, such as emergency medical units, intensive care units, etc., (<xref ref-type="bibr" rid="B53">Lamiani et al., 2017</xref>), where they are frequently exposed to moral distress and psychological strain, especially during the pandemic. A meta-analysis of moral distress revealed that it is more frequently experienced by providers when they feel they are administering excessive care. It is less common when palliative care options are suggested (<xref ref-type="bibr" rid="B61">Prentice et al., 2016</xref>). ICU healthcare providers are more likely to suffer moral distress when faced with end-of-life situations, ethical dilemmas, and complicated family dynamics (<xref ref-type="bibr" rid="B20">Coughlin, 2021</xref>). <xref ref-type="bibr" rid="B76">Whitehead et al. (2015)</xref> noted that moral distress in ICU settings often comes from a lack of consistent care, pressure to follow family requests that conflict with the patient&#x2019;s best interests, and adverse effects of ineffective communication. Additional challenges involve administering treatments that may be deemed inappropriate or ineffective, making life-or-death decisions, and withholding information from patients or their families&#x2013;all of which can intensify moral distress (<xref ref-type="bibr" rid="B17">Corley, 1995</xref>; <xref ref-type="bibr" rid="B27">Ferrell, 2006</xref>; <xref ref-type="bibr" rid="B28">Fujii et al., 2021</xref>). Some other factors that may cause moral distress are poor teamwork, working with incompetent colleagues, fear of judgment from colleagues, improper allocation of medical resources, shortages of staff and resources, the continuation of treatments that merely prolong suffering, and the use of interventions deemed futile, which can cause unnecessary pain to the patient (<xref ref-type="bibr" rid="B1">Al-Humadi et al., 2021</xref>; <xref ref-type="bibr" rid="B7">Beltr&#x00E3;o et al., 2023</xref>; <xref ref-type="bibr" rid="B30">Haghighinezhad et al., 2019</xref>).</p>
<p>If left unaddressed, moral distress may bring in a range of adverse emotional and psychological outcomes, such as anger, anxiety, shame, guilt, sadness, frustration, emotional numbness, cynicism, or self-criticism (<xref ref-type="bibr" rid="B13">Burston and Tuckett, 2012</xref>; <xref ref-type="bibr" rid="B41">Jameton, 1984</xref>, <xref ref-type="bibr" rid="B43">2017</xref>; <xref ref-type="bibr" rid="B44">Jansen et al., 2020</xref>; <xref ref-type="bibr" rid="B59">Parker and Tavella, 2021</xref>; <xref ref-type="bibr" rid="B63">Rushton, 2018</xref>). Furthermore, they may emotionally disengage from their patients and distance themselves from others (<xref ref-type="bibr" rid="B53">Lamiani et al., 2017</xref>; <xref ref-type="bibr" rid="B77">Wilson et al., 2013</xref>). Physically, they may suffer from burnout, compassion fatigue, headaches, stomach issues, sleep disturbances, weight changes, palpitations, and medical errors (<xref ref-type="bibr" rid="B22">Delfrate et al., 2018</xref>; <xref ref-type="bibr" rid="B63">Rushton, 2018</xref>). Ultimately, unresolved moral distress may undermine healthcare quality, diminish patient satisfaction, and increase staff turnover (<xref ref-type="bibr" rid="B13">Burston and Tuckett, 2012</xref>; <xref ref-type="bibr" rid="B39">Huffman and Rittenmeyer, 2012</xref>; <xref ref-type="bibr" rid="B55">McCarthy and Gastmans, 2015</xref>).</p>
<p>Addressing the detrimental impacts of moral distress on healthcare personnel, organizations, and the overall healthcare system is an urgent concern (<xref ref-type="bibr" rid="B3">Aultman and Wurzel, 2014</xref>; <xref ref-type="bibr" rid="B56">Musto et al., 2015</xref>). Therefore, developing tools for early identification and accurate assessment of moral distress is essential, as this provides a foundation for designing effective intervention strategies (<xref ref-type="bibr" rid="B52">Lachman, 2016</xref>). <xref ref-type="bibr" rid="B19">Corley et al.&#x2019;s (2001)</xref> Moral Distress Scale (MDS) is the pioneering instrument developed to measure moral distress, grounded in <xref ref-type="bibr" rid="B41">Jameton&#x2019;s (1984)</xref> original conceptualization. The 38-item scale was initially developed to assess how often and severely nurses, especially those working in the ICU, experience moral distress (<xref ref-type="bibr" rid="B19">Corley et al., 2001</xref>). Despite its widespread use, the original MDS demonstrated acceptable internal consistency but lacked confirmatory factor analysis and was validated only in nurses. <xref ref-type="bibr" rid="B35">Hamric et al. (2012)</xref> modified the tool to 21 questions to assess moral distress. Today, the revised tool, MDS-Revised, remains the commonly employed measure to assess how often and how severely healthcare providers experience moral distress in diverse hospital settings (<xref ref-type="bibr" rid="B34">Hamric and Epstein, 2017</xref>). The MDS-R reduced the number of items but retained similar limitations regarding construct validity and generalizability. Different versions of the scale have been adapted to fit the unique needs of various healthcare practitioners, including <xref ref-type="bibr" rid="B78">Wocial and Weaver&#x2019;s (2013)</xref> Moral Distress Thermometer (MDT) and <xref ref-type="bibr" rid="B26">Epstein et al.&#x2019;s (2019)</xref> Measure of Moral Distress for Healthcare Practitioners (MMD-HP). These versions have shown robust validity and reliability across diverse healthcare professions but may require cultural adaptation.</p>
<p>Moreover, several challenges may emerge when considering direct adaptation of the MDS-R or MMD-HP into the Taiwanese context. First, moral distress varies depending on each individual&#x2019;s cultural background and the unique circumstances of the healthcare setting (<xref ref-type="bibr" rid="B37">Horton et al., 2007</xref>). Additionally, the moral distress and ethical dilemmas embedded in these tools reflect Western healthcare systems and do not sufficiently resonate with the socio-cultural dynamics of the Taiwanese healthcare system, especially issues such as family authority and role-based power imbalances (<xref ref-type="bibr" rid="B79">Yeh et al., 2010</xref>). Given that environmental and cultural factors influence the experience and response to moral distress (<xref ref-type="bibr" rid="B35">Hamric et al., 2012</xref>; <xref ref-type="bibr" rid="B69">Tian et al., 2021</xref>), existing tools might not completely reflect the unique moral distress experienced by healthcare students and providers in Taiwanese culturally specific healthcare environments. Moreover, linguistic equivalence alone is insufficient to convey culturally embedded concepts, such as filial piety and collective decision-making, which profoundly shape clinical ethics in Taiwan (<xref ref-type="bibr" rid="B79">Yeh et al., 2010</xref>). These systemic, cultural, and linguistic differences make direct adaptation problematic and therefore justify the development of a culture-specific instrument (<xref ref-type="bibr" rid="B60">Picconi et al., 2023</xref>).</p>
<p>Hence, without cultural adaptation and validation, the use of these tools in Taiwan may result in incomplete or misleading assessments of moral distress. Consequently, to address this gap, the study intended to go through a systematic review to develop and validate a scale (MDS-HSP) for assessing moral distress in this population based on Taiwanese cultural contexts.</p>
</sec>
<sec id="S2">
<title>2 Methodology</title>
<sec id="S2.SS1">
<title>2.1 Procedure and participants</title>
<p>Grounded in an extensive literature review on moral distress, ethical tensions, moral dilemmas, and related psychological distress, the researchers initially identified 83 potential items capturing various facets of moral distress. To refine this item pool, a series of expert panel discussions (<xref ref-type="bibr" rid="B11">Boateng et al., 2018</xref>) was conducted with three professionals specializing in psychometrics, medical humanities, and medical education. Each expert independently evaluated the items using a 6-point relevance scale (0: not relevant; 5: extremely relevant). Items scoring below 4 or lacking inter-rater agreement were eliminated from further consideration. This process constituted a formal evaluation of content validity by the expert panel prior to item testing. Through iterative discussions and consensus-building, the item set was streamlined to 72 items. A 9-point Likert scale was adopted, where 1 represented the absence of distress and 9 denoted the highest level of moral distress, with higher scores reflecting more intense experiences of moral distress.</p>
<p>The researchers carried out a pilot study, employing exploratory factor analysis (EFA) on data collected from 332 participants comprising medical and healthcare students and providers. To validate the identified factor structure, confirmatory factor analysis (CFA) was subsequently carried out on an independent sample of 240 participants. Participants were healthcare students and providers in Taiwan aged 18 or older who completed the survey; those under 18, outside healthcare roles, or with incomplete responses were excluded. The Institutional Review Board of Chung Shan Medical University Hospital granted approval for the research (IRB No. 112008).</p>
</sec>
<sec id="S2.SS2">
<title>2.2 Data analysis</title>
<p>The study first evaluated the normality of the data using skewness and kurtosis. According to <xref ref-type="bibr" rid="B31">Hair et al. (2018)</xref>, skewness and kurtosis values within &#x00B1;2.58 (<italic>p</italic> &#x003C; 0.01) or &#x00B1;1.96 (<italic>p</italic> &#x003C; 0.05) are generally considered indicative of a normal distribution. <xref ref-type="bibr" rid="B14">Byrne (2010)</xref> further noted that kurtosis values of 7 or higher suggest a deviation from normality. <xref ref-type="bibr" rid="B48">Kline (2016)</xref> suggested that an absolute skewness value exceeding 3.0 (|&#x03B3;<sub>1</sub>| &#x003E; 3.0) indicates severe skewness, and an absolute kurtosis value exceeding 10.0 (|&#x03B3;<sub>2</sub>| &#x003E; 10.0) indicates a potential problem. To uncover and confirm the underlying factor structure, the study conducted an EFA using SPSS version 14.0 (IBM Corp, 2016) on data from 332 participants, followed by CFA with AMOS version 24.0 (<xref ref-type="bibr" rid="B2">Arbuckle, 2016</xref>) on a separate sample of 240 individuals. Factor extraction was guided by eigenvalue assessment, principal component analysis (PCA), and Promax rotation to accommodate potential correlations among factors. Sampling adequacy and the acceptability of data for factor analysis were assessed through the Kaiser-Meyer-Olkin (KMO; <xref ref-type="bibr" rid="B46">Kaiser, 1970</xref>; <xref ref-type="bibr" rid="B47">Kaiser and Rice, 1974</xref>) and Bartlett&#x2019;s test of sphericity (<xref ref-type="bibr" rid="B5">Bartlett, 1950</xref>, <xref ref-type="bibr" rid="B6">1951</xref>). Model fit was assessed for both EFA and CFA using a range of statistical indicators, including the chi-square to degrees of freedom ratio (&#x03C7;<sup>2</sup>/<italic>df</italic>; <xref ref-type="bibr" rid="B36">Hooper et al., 2008</xref>), Tucker-Lewis Index (TLI; <xref ref-type="bibr" rid="B8">Bentler, 1990</xref>), Comparative Fit Index (CFI; <xref ref-type="bibr" rid="B8">Bentler, 1990</xref>), and the Root Mean Square Error of Approximation (RMSEA; <xref ref-type="bibr" rid="B36">Hooper et al., 2008</xref>). Furthermore, the psychometric evaluation of the scale included tests for convergent and discriminant validity, along with reliability analysis using composite alpha and Cronbach&#x2019;s alpha.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3 Results</title>
<sec id="S3.SS1">
<title>3.1 Preliminary data analysis and suitability for factor analysis</title>
<p>A total of 332 completed questionnaires were obtained from healthcare students and providers across Taiwan. The researchers assessed outliers and multivariate normality by examining skewness and kurtosis. Preliminary analysis revealed no extreme values, with skewness ranging within &#x00B1;1 and kurtosis within &#x00B1;2, indicating adequate normality. To assess whether the dataset was suitable for EFA, two statistical tests were conducted. The KMO yielded an exceptionally high value of 0.975, well above the accepted criterion of 0.6 (<xref ref-type="bibr" rid="B46">Kaiser, 1970</xref>; <xref ref-type="bibr" rid="B47">Kaiser and Rice, 1974</xref>), indicating excellent sampling adequacy. Bartlett&#x2019;s test of sphericity also yielded a highly significant result (Approx. = 16,704.881; <italic>df</italic> = 861; <italic>p</italic> &#x003C; 0.001), indicating that the factors were appropriately correlated for factor analysis (<xref ref-type="bibr" rid="B5">Bartlett, 1950</xref>, <xref ref-type="bibr" rid="B6">1951</xref>). These outcomes validated the appropriateness of proceeding with factor extraction. The scree plot analysis for the MDS-HSP instrument indicated that a six-factor solution is the most appropriate structural representation of the data (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Scree plot for factor analysis of the MDS-HSP.</p></caption>
<alt-text>Scree plot showing a sharp decline in eigenvalues from about 27 to 5 between factor numbers 1 and 2, followed by a gradual leveling off, remaining below 5 from factor numbers 3 to 41.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1661414-g001.tif"/>
</fig>
<p>Among the 332 participants, 77 participants (23.2%) were male, and 255 participants (76.8%) were female. There were 2 participants (0.6%) who were below the age of 19, 46 participants (13.8%) who were between the ages of 19 and 25, 132 participants (39.8%) who were between the ages of 26 and 32, 90 participants (27.1%) who were between the ages of 33 and 39, 48 participants (14.5%) who were between the ages of 40 and 46, and 13 participants (3.9%) who were between the age of 47 and 53, 1 participant (0.3%) who was between the ages of 54 and 60, and 0 participant (0%) who was 61 years old or older. Healthcare students comprised 188 (56.6%) of these participants, while healthcare providers comprised 144 (43.4%). The participants&#x2019; demographic details are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Participants&#x2019; demographic details.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Condition</td>
<td valign="top" align="left">Categories</td>
<td valign="top" align="center">Number</td>
<td valign="top" align="center">Percentage</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">23.2</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">255</td>
<td valign="top" align="center">76.8</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="8">Age</td>
<td valign="top" align="left">19 years old</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.6%</td>
</tr>
<tr>
<td valign="top" align="left">19+ to 25 years old</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">13.8%</td>
</tr>
<tr>
<td valign="top" align="left">26+ to 32 years old</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">39.8%</td>
</tr>
<tr>
<td valign="top" align="left">33+ to 39 years old</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">27.1%</td>
</tr>
<tr>
<td valign="top" align="left">40+ to 46 years old</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">14.5%</td>
</tr>
<tr>
<td valign="top" align="left">47+ to 53 years old</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">3.9%</td>
</tr>
<tr>
<td valign="top" align="left">54+ to 60 years old</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.3%</td>
</tr>
<tr>
<td valign="top" align="left">61+ years old</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0%</td>
</tr>
<tr>
<td valign="top" align="left">Source</td>
<td valign="top" align="left">Health students</td>
<td valign="top" align="center">188</td>
<td valign="top" align="center">56.6%</td>
</tr>
<tr>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">43.4%</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS2">
<title>3.2 Exploratory factor analysis (EFA)</title>
<p>To examine the MDS-HSP scale&#x2019;s construct and internal consistency validity, the researchers employed EFA, using PCA with Promax rotation and an eigenvalue threshold of 1.0. Items were retained if they demonstrated a loading of &#x2265;0.50 on their designated factor and &#x003C;0.50 on unrelated factors. This analysis identified six distinct factors encompassing a total of 42 items, collectively accounting for 79.268% of the total variance. The first factor, &#x201C;acquiescence to patients&#x2019; rights violations,&#x201D; comprised 8 items and explained the largest portion of variance at 61.727%. The second factor, &#x201C;lack of professional competence,&#x201D; included 9 items and contributed 5.910%. The third, &#x201C;disrespect for patients&#x2019; autonomy,&#x201D; encompassed 10 items and accounted for 3.812% of the variance. The fourth factor, &#x201C;futile treatment,&#x201D; consisted of 5 items and explained 2.927%. The fifth, &#x201C;organizational and social climate,&#x201D; was composed of 6 items and contributed 2.506%, while the sixth and final factor, &#x201C;not in patients&#x2019; best interest,&#x201D; contained 4 items and explained 2.387%. Each factor exhibited an eigenvalue exceeding the threshold of 1.0, specifically: 25.925, 2.482, 1.601, 1.229, 1.052, and 1.003, thereby confirming the statistical significance and multidimensional nature of the scale structure (see <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Rotated factor loading and Cronbach&#x2019;s alpha for the MDS-HSP scale.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Item</td>
<td valign="top" align="center">Factor 1</td>
<td valign="top" align="center">Factor 2</td>
<td valign="top" align="center">Factor 3</td>
<td valign="top" align="center">Factor 4</td>
<td valign="top" align="center">Factor 5</td>
<td valign="top" align="center">Factor 6</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factor 1: &#x03B1; = 0.968</bold></td>
</tr>
<tr>
<td valign="top" align="left">52</td>
<td valign="top" align="center">0.961</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.035</td>
<td valign="top" align="center">&#x2212;0.042</td>
<td valign="top" align="center">&#x2212;0.044</td>
<td valign="top" align="center">&#x2212;0.014</td>
</tr>
<tr>
<td valign="top" align="left">56</td>
<td valign="top" align="center">0.935</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">&#x2212;0.084</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">&#x2212;0.079</td>
<td valign="top" align="center">0.042</td>
</tr>
<tr>
<td valign="top" align="left">53</td>
<td valign="top" align="center">0.932</td>
<td valign="top" align="center">&#x2212;0.040</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">&#x2212;0.029</td>
<td valign="top" align="center">&#x2212;0.029</td>
<td valign="top" align="center">0.041</td>
</tr>
<tr>
<td valign="top" align="left">54</td>
<td valign="top" align="center">0.854</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">&#x2212;0.038</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center">&#x2212;0.113</td>
</tr>
<tr>
<td valign="top" align="left">57</td>
<td valign="top" align="center">0.819</td>
<td valign="top" align="center">0.059</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">&#x2212;0.043</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">&#x2212;0.042</td>
</tr>
<tr>
<td valign="top" align="left">58</td>
<td valign="top" align="center">0.817</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">&#x2212;0.098</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center">0.155</td>
<td valign="top" align="center">&#x2212;0.009</td>
</tr>
<tr>
<td valign="top" align="left">51</td>
<td valign="top" align="center">0.775</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">0.019</td>
</tr>
<tr>
<td valign="top" align="left">49</td>
<td valign="top" align="center">0.696</td>
<td valign="top" align="center">&#x2212;0.037</td>
<td valign="top" align="center">0.097</td>
<td valign="top" align="center">0.127</td>
<td valign="top" align="center">&#x2212;0.018</td>
<td valign="top" align="center">0.063</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factor 2: &#x03B1; = 0.958</bold></td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">0.887</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">&#x2212;0.133</td>
<td valign="top" align="center">&#x2212;0.050</td>
<td valign="top" align="center">0.040</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">&#x2212;0.017</td>
<td valign="top" align="center">0.848</td>
<td valign="top" align="center">&#x2212;0.010</td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.081</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">0.099</td>
<td valign="top" align="center">0.813</td>
<td valign="top" align="center">0.123</td>
<td valign="top" align="center">&#x2212;0.075</td>
<td valign="top" align="center">&#x2212;0.091</td>
<td valign="top" align="center">0.077</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.789</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center">&#x2212;0.111</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="center">&#x2212;0.158</td>
<td valign="top" align="center">0.743</td>
<td valign="top" align="center">&#x2212;0.045</td>
<td valign="top" align="center">0.108</td>
<td valign="top" align="center">0.278</td>
<td valign="top" align="center">0.026</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">&#x2212;0.021</td>
<td valign="top" align="center">0.671</td>
<td valign="top" align="center">0.246</td>
<td valign="top" align="center">&#x2212;0.023</td>
<td valign="top" align="center">0.132</td>
<td valign="top" align="center">&#x2212;0.038</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="center">0.103</td>
<td valign="top" align="center">0.655</td>
<td valign="top" align="center">&#x2212;0.149</td>
<td valign="top" align="center">0.129</td>
<td valign="top" align="center">&#x2212;0.114</td>
<td valign="top" align="center">0.247</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">0.062</td>
<td valign="top" align="center">0.644</td>
<td valign="top" align="center">0.223</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">&#x2212;0.011</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">0.602</td>
<td valign="top" align="center">0.463</td>
<td valign="top" align="center">&#x2212;0.076</td>
<td valign="top" align="center">&#x2212;0.024</td>
<td valign="top" align="center">&#x2212;0.115</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factor 3: &#x03B1; = 0.972</bold></td>
</tr>
<tr>
<td valign="top" align="left">28</td>
<td valign="top" align="center">&#x2212;0.029</td>
<td valign="top" align="center">0.034</td>
<td valign="top" align="center">0.895</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">&#x2212;0.027</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">27</td>
<td valign="top" align="center">&#x2212;0.0218</td>
<td valign="top" align="center">&#x2212;0.069</td>
<td valign="top" align="center">0.864</td>
<td valign="top" align="center">0.094</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="center">0.097</td>
</tr>
<tr>
<td valign="top" align="left">29</td>
<td valign="top" align="center">0.092</td>
<td valign="top" align="center">0.084</td>
<td valign="top" align="center">0.834</td>
<td valign="top" align="center">&#x2212;0.113</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">30</td>
<td valign="top" align="center">0.135</td>
<td valign="top" align="center">0.150</td>
<td valign="top" align="center">0.803</td>
<td valign="top" align="center">&#x2212;0.076</td>
<td valign="top" align="center">&#x2212;0.009</td>
<td valign="top" align="center">&#x2212;0.066</td>
</tr>
<tr>
<td valign="top" align="left">31</td>
<td valign="top" align="center">0.101</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center">0.760</td>
<td valign="top" align="center">&#x2212;0.016</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="center">&#x2212;0.031</td>
</tr>
<tr>
<td valign="top" align="left">23</td>
<td valign="top" align="center">0.130</td>
<td valign="top" align="center">0.133</td>
<td valign="top" align="center">0.743</td>
<td valign="top" align="center">0.101</td>
<td valign="top" align="center">&#x2212;0.154</td>
<td valign="top" align="center">&#x2212;0.055</td>
</tr>
<tr>
<td valign="top" align="left">21</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">0.741</td>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">&#x2212;0.065</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="center">0.076</td>
<td valign="top" align="center">0.198</td>
<td valign="top" align="center">0.717</td>
<td valign="top" align="center">0.108</td>
<td valign="top" align="center">&#x2212;0.062</td>
<td valign="top" align="center">&#x2212;0.108</td>
</tr>
<tr>
<td valign="top" align="left">22</td>
<td valign="top" align="center">0.099</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">0.694</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">&#x2212;0.094</td>
<td valign="top" align="center">&#x2212;0.011</td>
</tr>
<tr>
<td valign="top" align="left">32</td>
<td valign="top" align="center">0.120</td>
<td valign="top" align="center">&#x2212;0.023</td>
<td valign="top" align="center">0.547</td>
<td valign="top" align="center">&#x2212;0.026</td>
<td valign="top" align="center">0.096</td>
<td valign="top" align="center">0.325</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factor 4: &#x03B1; = 0.890</bold></td>
</tr>
<tr>
<td valign="top" align="left">47</td>
<td valign="top" align="center">&#x2212;0.126</td>
<td valign="top" align="center">&#x2212;0.145</td>
<td valign="top" align="center">0.254</td>
<td valign="top" align="center">0.874</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">&#x2212;0.018</td>
</tr>
<tr>
<td valign="top" align="left">46</td>
<td valign="top" align="center">0.033</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.103</td>
<td valign="top" align="center">0.806</td>
<td valign="top" align="center">&#x2212;0.035</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">44</td>
<td valign="top" align="center">&#x2212;0.035</td>
<td valign="top" align="center">0.153</td>
<td valign="top" align="center">&#x2212;0.123</td>
<td valign="top" align="center">0.730</td>
<td valign="top" align="center">0.237</td>
<td valign="top" align="center">&#x2212;0.110</td>
</tr>
<tr>
<td valign="top" align="left">45</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">&#x2212;0.066</td>
<td valign="top" align="center">0.722</td>
<td valign="top" align="center">&#x2212;0.081</td>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td valign="top" align="left">48</td>
<td valign="top" align="center">0.085</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="center">0.659</td>
<td valign="top" align="center">&#x2212;0.031</td>
<td valign="top" align="center">0.130</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factor 5: &#x03B1; = 0.954</bold></td>
</tr>
<tr>
<td valign="top" align="left">63</td>
<td valign="top" align="center">&#x2212;0.023</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">&#x2212;0.052</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.917</td>
<td valign="top" align="center">0.044</td>
</tr>
<tr>
<td valign="top" align="left">64</td>
<td valign="top" align="center">&#x2212;0.010</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="center">&#x2212;0.155</td>
<td valign="top" align="center">&#x2212;0.013</td>
<td valign="top" align="center">0.892</td>
<td valign="top" align="center">0.165</td>
</tr>
<tr>
<td valign="top" align="left">65</td>
<td valign="top" align="center">0.129</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">0.126</td>
<td valign="top" align="center">&#x2212;0.023</td>
<td valign="top" align="center">0.758</td>
<td valign="top" align="center">&#x2212;0.102</td>
</tr>
<tr>
<td valign="top" align="left">67</td>
<td valign="top" align="center">0.249</td>
<td valign="top" align="center">&#x2212;0.080</td>
<td valign="top" align="center">0.214</td>
<td valign="top" align="center">&#x2212;0.041</td>
<td valign="top" align="center">0.568</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td valign="top" align="left">69</td>
<td valign="top" align="center">0.242</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">0.180</td>
<td valign="top" align="center">0.060</td>
<td valign="top" align="center">0.557</td>
<td valign="top" align="center">&#x2212;0.085</td>
</tr>
<tr>
<td valign="top" align="left">68</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">0.272</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">0.542</td>
<td valign="top" align="center">&#x2212;0.041</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factor 6: &#x03B1; = 0.867</bold></td>
</tr>
<tr>
<td valign="top" align="left">35</td>
<td valign="top" align="center">&#x2212;0.002</td>
<td valign="top" align="center">0.106</td>
<td valign="top" align="center">&#x2212;0.358</td>
<td valign="top" align="center">0.084</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">33</td>
<td valign="top" align="center">&#x2212;0.094</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center">&#x2212;0.087</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">0.879</td>
</tr>
<tr>
<td valign="top" align="left">36</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center">&#x2212;0.002</td>
<td valign="top" align="center">0.205</td>
<td valign="top" align="center">&#x2212;0.053</td>
<td valign="top" align="center">0.139</td>
<td valign="top" align="center">0.690</td>
</tr>
<tr>
<td valign="top" align="left">34</td>
<td valign="top" align="center">0.110</td>
<td valign="top" align="center">&#x2212;0.164</td>
<td valign="top" align="center">0.376</td>
<td valign="top" align="center">0.132</td>
<td valign="top" align="center">&#x2212;0.048</td>
<td valign="top" align="center">0.527</td>
</tr>
<tr>
<td valign="top" align="left">Eigen value</td>
<td valign="top" align="center">25.925</td>
<td valign="top" align="center">2.482</td>
<td valign="top" align="center">1.601</td>
<td valign="top" align="center">1.229</td>
<td valign="top" align="center">1.052</td>
<td valign="top" align="center">1.003</td>
</tr>
<tr>
<td valign="top" align="left">% of variance</td>
<td valign="top" align="center">61.727</td>
<td valign="top" align="center">5.910</td>
<td valign="top" align="center">3.812</td>
<td valign="top" align="center">2.927</td>
<td valign="top" align="center">2.506</td>
<td valign="top" align="center">2.387</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>SD, standard deviation. Overall &#x03B1; = 0.984; total variation explained: 79.268%.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="S3.SS2.SSS1">
<title>3.2.1 Validities and reliability of the MDS-HSP scale</title>
<p>First written in English, the MDS-HSP scale was later translated into Chinese. To ensure linguistic accuracy and conceptual equivalence, a bilingual expert later back-translated the version into English, allowing for comparison with the initial draft. Content validity was further established through expert evaluation. Additionally, three university students were involved in refining the wording of certain items to improve clarity and ease of understanding.</p>
<p>Cronbach&#x2019;s alpha coefficients were calculated to assess the internal consistency of the MDS-HSP scale. According to <xref ref-type="bibr" rid="B16">Churchill (1979)</xref>, a value above 0.8 is generally considered ideal, while 0.7 marks the threshold for acceptable reliability. The overall Cronbach&#x2019;s alpha for the full scale was 0.984, proving exceptional internal reliability. The analysis also revealed high reliability across all six subscales, with alpha values of 0.968, 0.958, 0.972, 0.890, 0.954, and 0.867, respectively. The results affirmed that both the individual factors and the entire MDS-HSP scale provided stable and consistent measurement of moral distress among participants (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="S3.SS2.SSS2">
<title>3.2.2 Descriptive statistics for the eFA-model MDS-HSP scale</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows descriptive statistics for the MDS-HSP scale&#x2019;s six factors, including item descriptions, mean scores (<italic>M</italic>), and standard deviations (SD).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Item descriptions, mean scores (<italic>M</italic>), and standard deviations (SD) on the MDS-HSP scale.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Item</td>
<td valign="top" align="center"><italic>M</italic></td>
<td valign="top" align="center">SD</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Factor 1. Acquiescence to patients&#x2019; rights violations</td>
<td valign="top" align="center">36.798</td>
<td valign="top" align="center">19.336</td>
</tr>
<tr>
<td valign="top" align="left">52. Daring not to take any action but remaining silent when noting that healthcare staff do not honestly report patients&#x2019; deaths brought on by their improper treatment or misdiagnosis</td>
<td valign="top" align="center">4.71</td>
<td valign="top" align="center">2.831</td>
</tr>
<tr>
<td valign="top" align="left">56. Daring not to take any action but remaining silent when noting that healthcare staff do not provide patients/guardians with sufficient information to ensure their informed consent</td>
<td valign="top" align="center">4.62</td>
<td valign="top" align="center">2.597</td>
</tr>
<tr>
<td valign="top" align="left">53. Daring not to take any action but remaining silent when noting that terminally-ill patients are being abandoned by their families</td>
<td valign="top" align="center">4.58</td>
<td valign="top" align="center">2.666</td>
</tr>
<tr>
<td valign="top" align="left">54. Daring not to take any action but remaining silent when noting that patients might be victims of abuse or violence</td>
<td valign="top" align="center">4.31</td>
<td valign="top" align="center">2.776</td>
</tr>
<tr>
<td valign="top" align="left">57. Daring not to take any action but remaining silent when witnessing healthcare staff make fun of patients</td>
<td valign="top" align="center">4.42</td>
<td valign="top" align="center">2.662</td>
</tr>
<tr>
<td valign="top" align="left">58. Daring not to speak up for patients but remaining silent when being requested to administer a range of life-sustaining treatments, which will, in my opinion, only prolong the patients&#x2019; dying process</td>
<td valign="top" align="center">4.64</td>
<td valign="top" align="center">2.634</td>
</tr>
<tr>
<td valign="top" align="left">51. Daring not to take any action but remaining silent when noting that healthcare staff do not respect patients&#x2019; privacy</td>
<td valign="top" align="center">4.59</td>
<td valign="top" align="center">2.654</td>
</tr>
<tr>
<td valign="top" align="left">49. Remaining silent about observed unethical behavior in the workplace for fear of jeopardizing my job</td>
<td valign="top" align="center">4.94</td>
<td valign="top" align="center">2.585</td>
</tr>
<tr>
<td valign="top" align="left">Factor 2. Lack of professional competence</td>
<td valign="top" align="center">44.970</td>
<td valign="top" align="center">21.340</td>
</tr>
<tr>
<td valign="top" align="left">3. Witnessing a decline in patient care quality as a result of inadequate healthcare team communications</td>
<td valign="top" align="center">5.28</td>
<td valign="top" align="center">2.680</td>
</tr>
<tr>
<td valign="top" align="left">6. Witnessing a decline in patient care quality due to a lack of caregiver continuity</td>
<td valign="top" align="center">5.22</td>
<td valign="top" align="center">2.685</td>
</tr>
<tr>
<td valign="top" align="left">5. Witnessing healthcare staff depriving patients of needed medical care due to the arrogance and uncooperativeness of patients and their families</td>
<td valign="top" align="center">5.15</td>
<td valign="top" align="center">2.828</td>
</tr>
<tr>
<td valign="top" align="left">2. Being requested to care for patients whom I do not believe I am professionally qualified to provide such care</td>
<td valign="top" align="center">4.93</td>
<td valign="top" align="center">2.686</td>
</tr>
<tr>
<td valign="top" align="left">7. Working in situations where the number of healthcare workers is too small to provide adequate medical care</td>
<td valign="top" align="center">5.09</td>
<td valign="top" align="center">2.736</td>
</tr>
<tr>
<td valign="top" align="left">4. Working with an incompetent multidisciplinary healthcare team</td>
<td valign="top" align="center">4.85</td>
<td valign="top" align="center">2.740</td>
</tr>
<tr>
<td valign="top" align="left">11. Responding to patients&#x2019; requests for help with ending their life when they have a poor prognosis</td>
<td valign="top" align="center">4.87</td>
<td valign="top" align="center">2.641</td>
</tr>
<tr>
<td valign="top" align="left">8. Working with doctors who do not explain to their patients their health status and disease</td>
<td valign="top" align="center">4.84</td>
<td valign="top" align="center">2.727</td>
</tr>
<tr>
<td valign="top" align="left">1. Working with healthcare providers (doctors, nurses, technicians, assistants, etc.) who lack professional qualifications or provide inappropriate health services</td>
<td valign="top" align="center">4.74</td>
<td valign="top" align="center">2.960</td>
</tr>
<tr>
<td valign="top" align="left">Factor 3. Disrespect for patients&#x2019; autonomy</td>
<td valign="top" align="center">47.706</td>
<td valign="top" align="center">25.910</td>
</tr>
<tr>
<td valign="top" align="left">28. Witnessing healthcare staff accepting bribes and favored privileges</td>
<td valign="top" align="center">4.47</td>
<td valign="top" align="center">2.867</td>
</tr>
<tr>
<td valign="top" align="left">27. Witnessing healthcare staff using free health check-ups and free consultations as a tactic to attract patients for medical consumption</td>
<td valign="top" align="center">4.61</td>
<td valign="top" align="center">2.702</td>
</tr>
<tr>
<td valign="top" align="left">29. Witnessing healthcare staff favoring privileges</td>
<td valign="top" align="center">4.74</td>
<td valign="top" align="center">2.981</td>
</tr>
<tr>
<td valign="top" align="left">30. Witnessing healthcare staff disregarding patient safety for the sake of profits</td>
<td valign="top" align="center">4.91</td>
<td valign="top" align="center">3.250</td>
</tr>
<tr>
<td valign="top" align="left">31. Witnessing healthcare staff requesting informed consent from patients for innovative treatments in human trials, while the management of potential side effects remains inadequately addressed</td>
<td valign="top" align="center">4.76</td>
<td valign="top" align="center">3.039</td>
</tr>
<tr>
<td valign="top" align="left">23. Being requested to resuscitate no-code terminally ill patients under strong pressure from patient families</td>
<td valign="top" align="center">4.70</td>
<td valign="top" align="center">2.787</td>
</tr>
<tr>
<td valign="top" align="left">21. Witnessing healthcare staff taking drastic medical measures to save the lives of terminally ill patients who have clearly expressed a wish to die</td>
<td valign="top" align="center">4.79</td>
<td valign="top" align="center">2.846</td>
</tr>
<tr>
<td valign="top" align="left">20. Witnessing medical staff responsible for patient care not discussing patients&#x2019; prognosis with patients or their families, even when asked for the truth</td>
<td valign="top" align="center">4.92</td>
<td valign="top" align="center">2.912</td>
</tr>
<tr>
<td valign="top" align="left">22. Witnessing healthcare staff not discussing emergency treatment options (code status) with the families of terminally ill or comatose patients before cardiac arrest</td>
<td valign="top" align="center">4.78</td>
<td valign="top" align="center">2.772</td>
</tr>
<tr>
<td valign="top" align="left">32. Being requested to abandon critically ill patients who had a chance to survive in situations where medical resources (respirators, life support equipment, gowns, beds, and workforce) are insufficient</td>
<td valign="top" align="center">5.03</td>
<td valign="top" align="center">2.838</td>
</tr>
<tr>
<td valign="top" align="left">Factor 4. Futile treatment</td>
<td valign="top" align="center">23.960</td>
<td valign="top" align="center">10.572</td>
</tr>
<tr>
<td valign="top" align="left">47. Being requested to provide aggressive yet potentially futile surgical treatment for terminally ill patients</td>
<td valign="top" align="center">4.46</td>
<td valign="top" align="center">2.436</td>
</tr>
<tr>
<td valign="top" align="left">46. Being requested to participate in surgeries for terminally ill patients</td>
<td valign="top" align="center">4.62</td>
<td valign="top" align="center">2.447</td>
</tr>
<tr>
<td valign="top" align="left">44. Asking patients&#x2019; families to donate organs to save others when death is unavoidable</td>
<td valign="top" align="center">4.78</td>
<td valign="top" align="center">2.647</td>
</tr>
<tr>
<td valign="top" align="left">45. Being requested to perform extreme life-saving measures to save patients, which, I think, only prolongs their dying process</td>
<td valign="top" align="center">5.12</td>
<td valign="top" align="center">2.628</td>
</tr>
<tr>
<td valign="top" align="left">48. Feeling powerless yet complying with doctors&#x2019; orders to continue treatment due to insistence from patients or their families</td>
<td valign="top" align="center">4.98</td>
<td valign="top" align="center">2.516</td>
</tr>
<tr>
<td valign="top" align="left">Factor 5. Organizational and social climate</td>
<td valign="top" align="center">28.736</td>
<td valign="top" align="center">14.327</td>
</tr>
<tr>
<td valign="top" align="left">63. Providing subpar treatment or care as a result of administrative pressure or limitations in total healthcare coverage</td>
<td valign="top" align="center">4.99</td>
<td valign="top" align="center">2.539</td>
</tr>
<tr>
<td valign="top" align="left">64. Providing less than optimal care to unconscious patients due to staffing shortages</td>
<td valign="top" align="center">5.05</td>
<td valign="top" align="center">2.568</td>
</tr>
<tr>
<td valign="top" align="left">65. Providing services that are outside my field of practice due to staff shortages in other areas or specialties</td>
<td valign="top" align="center">4.80</td>
<td valign="top" align="center">2.677</td>
</tr>
<tr>
<td valign="top" align="left">67. Discontinuing treatment under institutional policies when patients cannot pay fees</td>
<td valign="top" align="center">4.59</td>
<td valign="top" align="center">2.710</td>
</tr>
<tr>
<td valign="top" align="left">69. Working in situations where necessary medical equipment or resources are lacking and the quality of medical care cannot be guaranteed</td>
<td valign="top" align="center">4.64</td>
<td valign="top" align="center">2.731</td>
</tr>
<tr>
<td valign="top" align="left">68. Working in organizations lacking the necessary equipment to provide emergency assistance to patients</td>
<td valign="top" align="center">4.67</td>
<td valign="top" align="center">2.675</td>
</tr>
<tr>
<td valign="top" align="left">Factor 6. Not in patients&#x2019; best interest</td>
<td valign="top" align="center">18.829</td>
<td valign="top" align="center">8.661</td>
</tr>
<tr>
<td valign="top" align="left">35. Following patient families&#x2019; and physicians&#x2019; decision to extubate or remove life-sustaining equipment from patients</td>
<td valign="top" align="center">4.80</td>
<td valign="top" align="center">2.620</td>
</tr>
<tr>
<td valign="top" align="left">33. In conditions of limited medical resources, following physicians&#x2019; instructions to prioritize treatment for patients with higher survival rates and longer life expectancy</td>
<td valign="top" align="center">4.88</td>
<td valign="top" align="center">2.555</td>
</tr>
<tr>
<td valign="top" align="left">36. In situations where medical resources (respirators, life support equipment, gowns, beds, and workforce) are insufficient, being requested to abandon patients who require more medical resources</td>
<td valign="top" align="center">4.76</td>
<td valign="top" align="center">2.551</td>
</tr>
<tr>
<td valign="top" align="left">34. Witnessing patients dying due to their refusal of blood transfusions based on their doctrines and beliefs</td>
<td valign="top" align="center">4.39</td>
<td valign="top" align="center">2.516</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
</sec>
<sec id="S3.SS3">
<title>3.3 CFA for the MDS-HSP scale</title>
<p>The study further performed CFA using data from 240 participants in order to further confirm the acquired factor structure, of whom 91 participants (37.9%) were male, 140 participants (58.3%) were female, and 9 participants (3.8%) preferred not to say. There were 8 participants (3.3%) who were below the age of 19, 41 participants (17.1%) who were between the ages of 19 and 25, 110 participants (45.8%) who were between the ages of 26 and 32, 48 participants (20.0%) who were between the ages of 33 and 39, 26 participants (10.8%) who were between the ages of 40 and 46, and 6 participants (2.5%) who were between the age of 47 and 53, 0 participant (0%) who were between the ages of 54 and 60, and 1 participant (0.4%) who were 61 years old or older. Healthcare students comprised 106 (44.2%) of these participants, while healthcare providers comprised 134 (55.8%). The participants&#x2019; demographic details are shown in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Participants&#x2019; demographic details.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Characteristics</td>
<td valign="top" align="left">Categories</td>
<td valign="top" align="center">Number</td>
<td valign="top" align="center">Percentage</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">37.9</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">58.3</td>
</tr>
<tr>
<td valign="top" align="left">Prefer not to say</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">3.8</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="8">Age</td>
<td valign="top" align="left">19 years old</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3.3%</td>
</tr>
<tr>
<td valign="top" align="left">19+ to 25 years old</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">17.1%</td>
</tr>
<tr>
<td valign="top" align="left">26+ to 32 years old</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">45.8%</td>
</tr>
<tr>
<td valign="top" align="left">33+ to 39 years old</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">20.0%</td>
</tr>
<tr>
<td valign="top" align="left">40+ to 46 years old</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">10.8%</td>
</tr>
<tr>
<td valign="top" align="left">47+ to 53 years old</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2.5%</td>
</tr>
<tr>
<td valign="top" align="left">54+ to 60 years old</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0%</td>
</tr>
<tr>
<td valign="top" align="left">61+ years old</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.4%</td>
</tr>
<tr>
<td valign="top" align="left">Source</td>
<td valign="top" align="left">Health students</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">44.2</td>
</tr>
<tr>
<td valign="top" align="left">Health providers</td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">55.8</td>
</tr>
</tbody>
</table></table-wrap>
<p>The CFA, done with the AMOS (<xref ref-type="bibr" rid="B2">Arbuckle, 2016</xref>), validated the same six scale factors and 42 items (<xref ref-type="fig" rid="F2">Figure 2</xref>). No items were deleted from the factors of &#x201C;acquiescence to patients&#x2019; rights violations&#x201D; (8 items; factor loadings: 0.733&#x2013;0.885), &#x201C;lack of professional competence&#x201D; (9 items; factor loadings: 0.609&#x2013;0.797), &#x201C;disrespect for patients&#x2019; autonomy&#x201D; (10 items; factor loadings: 0.730&#x2013;0.880), &#x201C;futile treatment&#x201D; (5 items; factor loadings: 0.721&#x2013;0.906), &#x201C;organizational and social climate&#x201D; (6 items; factor loadings: 0.765&#x2013;0.862), and &#x201C;not in patients&#x2019; best interest&#x201D; (4 items; factor loadings: 0.633&#x2013;0.848), respectively.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Confirmatory factor analysis (CFA) diagram for the MDS-HSP scale.</p></caption>
<alt-text>Flowchart depicting various factors related to patient care violations. Key categories are Acquiescence to Patients&#x2019; Rights Violations, Lack of Professional Competence, Disrespect for Patients&#x2019; Autonomy, Futile Treatment, Organizational &#x0026; Social Climate, and Not in Patients&#x2019; Best Interest. Each category connects to specific items, labeled e1 to e42, with numerical values indicating relationships.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1661414-g002.tif"/>
</fig>
<sec id="S3.SS3.SSS1">
<title>3.3.1 Goodness of fit</title>
<p>To thoroughly assess the suitability of both the EFA and CFA models, the study utilized a range of fit statistics. Among them, the &#x03C7;<sup>2</sup>/<italic>df</italic> was adopted to gauge how closely the observed data matched the model&#x2019;s expectations. A <italic>p</italic>-value under 0.05 indicates only a slight divergence between the actual data and the model. Nonetheless, the ideal &#x03C7;<sup>2</sup>/<italic>df</italic> cutoff remains debated, with some scholars arguing that a value between 2.0 and 5.0 is acceptable (<xref ref-type="bibr" rid="B68">Tabachnick and Fidell, 2007</xref>; <xref ref-type="bibr" rid="B75">Wheaton et al., 1977</xref>), while others proposed a more rigorous standard of below 2.0 to indicate a superior fit (<xref ref-type="bibr" rid="B50">Koufteros, 1999</xref>; <xref ref-type="bibr" rid="B66">Schumacker and Lomax, 2010</xref>). Additional validation came from the TLI and CFI, with scores above 0.90 generally reflecting an acceptable fit, and values of 0.95 or higher signaling an exceptional fit (<xref ref-type="bibr" rid="B38">Hu and Bentler, 1999</xref>; <xref ref-type="bibr" rid="B65">Schermelleh-Engel and Moosbrugger, 2003</xref>; <xref ref-type="bibr" rid="B71">Tucker and Lewis, 1973</xref>). The RMSEA was also employed to examine how closely the model mirrored the actual data structure (<xref ref-type="bibr" rid="B15">Chen, 2007</xref>; <xref ref-type="bibr" rid="B36">Hooper et al., 2008</xref>). <xref ref-type="bibr" rid="B38">Hu and Bentler (1999)</xref> asserted that RMSEA values under 0.08 point to a reasonable fit, with values below 0.05 reflecting optimal superior model fit. <xref ref-type="table" rid="T5">Table 5</xref> lists all fit indices applied in evaluating the MDS-HSP scale&#x2019;s structure through both exploratory and confirmatory factor analysis. For the EFA model of the MDS-HSP, the model had a chi-square-to-degrees-of-freedom ratio (&#x03C7;<sup>2</sup>/<italic>df</italic>) of 2.401, a TLI of 0.87, a CFI of 0.88, and an RMSEA of 0.08. The CFA model has a &#x03C7;<sup>2</sup>/<italic>df</italic> of 1.097, a TLI of 0.99, a CFI of 0.99, and an RMSEA of 0.02, all exceeding commonly accepted thresholds (<xref ref-type="bibr" rid="B38">Hu and Bentler, 1999</xref>). These results provide strong support for the six-factor structure of the MDS-HSP.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Goodness-of-fit indexes.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Model</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup></td>
<td valign="top" align="center">df</td>
<td valign="top" align="center"><italic>&#x03C7;</italic><sup>2</sup>/<italic>df</italic></td>
<td valign="top" align="center"><italic>P</italic></td>
<td valign="top" align="center">TLI</td>
<td valign="top" align="center">CFI</td>
<td valign="top" align="center">RMSEA</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">EFA-model MDS-HSP</td>
<td valign="top" align="center">1930.23</td>
<td valign="top" align="center">804</td>
<td valign="top" align="center">2.401</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">CFA-model MDS-HSP</td>
<td valign="top" align="center">777.48</td>
<td valign="top" align="center">709</td>
<td valign="top" align="center">1.097</td>
<td valign="top" align="center">0.037</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.02</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS3.SSS2">
<title>3.3.2 Reliability and validity</title>
<p>To assess the reliability and consistency of the CFA-based MDS-HSP scale, the researchers analyzed both composite reliability (CR) and Cronbach&#x2019;s alpha. All scores were above the 0.70 cutoff, reflecting high reliability and stable psychometric properties (<xref ref-type="bibr" rid="B16">Churchill, 1979</xref>; <xref ref-type="bibr" rid="B31">Hair et al., 2018</xref>). Specifically, CR scores for the six factors and the overall instrument fell between 0.812 and 0.987, while Cronbach&#x2019;s alpha values fell between 0.832 and 0.974. These high coefficients, covering factors of &#x201C;acquiescence to patients&#x2019; rights violations,&#x201D; &#x201C;lack of professional competence,&#x201D; &#x201C;disrespect for patients&#x2019; autonomy,&#x201D; &#x201C;futile treatment,&#x201D; &#x201C;organizational and social climate,&#x201D; and &#x201C;not in patients&#x2019; best interest&#x201D; confirmed the scale&#x2019;s internal consistency and reliability (see <xref ref-type="table" rid="T6">Table 6</xref>). To determine whether the MDS-HSP scale items effectively captured the underlying constructs, the study assessed convergent validity through Average Variance Extracted (AVE) and CR scores. Convergent validity is supported when the AVE exceeds 0.50, yet remains lower than the corresponding CR, which should surpass 0.60 (<xref ref-type="bibr" rid="B31">Hair et al., 2018</xref>; <xref ref-type="bibr" rid="B58">Pallant, 2013</xref>). <xref ref-type="table" rid="T6">Table 6</xref> summarizes the AVE and CR values for each of the six identified MDS-HSP scale factors: &#x201C;acquiescence to patients&#x2019; rights violations&#x201D; (AVE: 0.702; composite alpha: 0.949), &#x201C;lack of professional competence&#x201D; (AVE: 0.561; composite alpha: 0.920), &#x201C;disrespect for patients&#x2019; autonomy&#x201D; (AVE: 0.676; composite alpha: 0.954), &#x201C;futile treatment&#x201D; (AVE: 0.650; composite alpha: 0.902), &#x201C;organizational and social climate&#x201D; (AVE: 0.676; composite alpha: 0.925), and &#x201C;not in patients&#x2019; best interest&#x201D; (AVE: 0.522; composite alpha: 0.812). Significantly, each AVE value was lower than its corresponding CR, which consistently exceeded 0.70, highlighting robust reliability across all scale factors (<xref ref-type="bibr" rid="B31">Hair et al., 2018</xref>; <xref ref-type="bibr" rid="B58">Pallant, 2013</xref>).</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Average variance extracted (AVE) and reliability of the CFA-model MDS-HSP scale.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Reliability factor</td>
<td valign="top" align="center">AVE</td>
<td valign="top" align="center">CR</td>
<td valign="top" align="center">Cronbach&#x2019;s alpha</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1. Acquiescence to patients&#x2019; rights violations</td>
<td valign="top" align="center">0.702</td>
<td valign="top" align="center">0.949</td>
<td valign="top" align="center">0.952</td>
</tr>
<tr>
<td valign="top" align="left">2. Lack of professional competence</td>
<td valign="top" align="center">0.561</td>
<td valign="top" align="center">0.920</td>
<td valign="top" align="center">0.928</td>
</tr>
<tr>
<td valign="top" align="left">3. Disrespect for patients&#x2019; autonomy</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="center">0.954</td>
<td valign="top" align="center">0.957</td>
</tr>
<tr>
<td valign="top" align="left">4. Futile treatment</td>
<td valign="top" align="center">0.650</td>
<td valign="top" align="center">0.902</td>
<td valign="top" align="center">0.892</td>
</tr>
<tr>
<td valign="top" align="left">5. Organizational and social climate</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="center">0.925</td>
<td valign="top" align="center">0.933</td>
</tr>
<tr>
<td valign="top" align="left">6. Not in patients&#x2019; best interest</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">0.812</td>
<td valign="top" align="center">0.832</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">0.638</td>
<td valign="top" align="center">0.987</td>
<td valign="top" align="center">0.974</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>4 Discussion</title>
<p>The objective of this research was to develop a medical distress scale (MDS-HSP Scale) to assess medical distress among medical students and providers in Taiwanese clinical and healthcare settings. The study validated the MDS-HSP Scale&#x2019;s psychometric qualities using EFA to look at the hidden factor structure and CFA to make sure the dataset matched the model. A preliminary 42-item MDS-HSP Scale was initially developed by the researchers using the EFA. Six factors on this scale accounted for 79.268% of the variance: &#x201C;acquiescence to patients&#x2019; rights violations&#x201D; (8 items), &#x201C;lack of professional competence&#x201D; (9 items), &#x201C;disrespect for patients&#x2019; autonomy&#x201D; (10 items), &#x201C;futile treatment&#x201D; (5 items), &#x201C;organizational and social climate&#x201D; (6 items) and &#x201C;not in patients&#x2019; best interest&#x201D; (4 items).</p>
<p>The EFA findings showed that factor loadings are between 0.961 and 0.527, all higher than <xref ref-type="bibr" rid="B31">Hair et al.&#x2019;s (2018)</xref> proposed threshold of 0.50. By analyzing the mean scores across six distinct factors, the researchers further investigated the diverse aspects of moral distress experienced by healthcare students and providers. Participants had the highest score on the &#x201C;lack of professional competence&#x201D; factor (Mean = 4.997 per item: 44.970&#x00F7;9 = 4.997), followed by the &#x201C;futile treatment&#x201D; (Mean = 4.792), &#x201C;organizational and social climate&#x201D; (Mean = 4.789), &#x201C;disrespect for patients&#x2019; autonomy&#x201D; (4.771), and &#x201C;not in patients&#x2019; best interest&#x201D; (4.707). They gained the lowest scores on the &#x201C;acquiescence to patients&#x2019; rights violations&#x201D; (Mean = 4.600). This suggests that healthcare students and providers experience the most significant moral distress when they perceive themselves or others as lacking expertise and training to provide appropriate care. This finding corresponds with previous research by <xref ref-type="bibr" rid="B25">Epstein and Hamric (2009)</xref> and <xref ref-type="bibr" rid="B57">Oh and Gastmans (2015)</xref>, indicating that moral distress frequently arises when healthcare providers feel inadequately prepared to manage complex clinical situations.</p>
<p>The second highest mean score was observed in the &#x201C;futile treatment&#x201D; factor, indicating significant distress associated with providing treatments perceived as non-beneficial. This is particularly evident in critical and end-of-life care settings, where providers may feel compelled to continue aggressive interventions despite ethical concerns. <xref ref-type="bibr" rid="B35">Hamric et al. (2012)</xref> noted that institutional pressures to prolong treatment can intensify moral conflict, especially when such interventions contradict a provider&#x2019;s professional judgment. Close behind was the &#x201C;organizational and social climate&#x201D; factor. This highlights the impact of a negative or unsupportive workplace environment on moral distress. The finding corresponds with <xref ref-type="bibr" rid="B34">Hamric and Epstein&#x2019;s (2017)</xref> study, emphasizing that a lack of open communication, ethical support, and collaborative decision-making within an organization significantly increases the likelihood of moral distress among healthcare providers. Moral distress was also notably associated with &#x201C;disrespect for patient autonomy&#x201D; (Mean = 4.771) and &#x201C;not in patients&#x2019; best interest&#x201D; (Mean = 4.600). Participants reported considerable distress when witnessing actions that undermined ethical principles or disregarded patient autonomy and rights. As <xref ref-type="bibr" rid="B10">Berlinger and Berlinger (2017)</xref> noted, excluding patients from decision-making or overriding their preferences can significantly contribute to moral distress. Similarly, some actions may raise moral concerns; however, their ambiguous nature makes it difficult to determine whether they harm patients or go against their best interests. As <xref ref-type="bibr" rid="B45">Johnstone and Hutchinson (2015)</xref> pointed out, determining what constitutes a patient&#x2019;s best interest can be highly subjective, particularly in culturally diverse or ethically complex situations, which may contribute to the comparatively lower distress levels reported in this factor. The lowest mean score was associated with the &#x201C;acquiescence to patients&#x2019; rights violations&#x201D; factor (Mean = 4.600), still falling within the moderate range of moral distress. This may suggest that healthcare providers often feel powerless when institutional protocols or physician orders conflict with their ethical commitment to uphold patient dignity (<xref ref-type="bibr" rid="B73">Ulrich et al., 2010a</xref>).</p>
<p>To rigorously confirm the underlying factor structure, CFA was conducted, yielding the same 42 items with strong factor loadings, in the range of 0.609&#x2013;0.906, surpassing the benchmark set by <xref ref-type="bibr" rid="B31">Hair et al. (2018)</xref>. Based on multiple indices, the model&#x2019;s overall fit was deemed robust and acceptable (<xref ref-type="bibr" rid="B38">Hu and Bentler, 1999</xref>). While the EFA-derived MDS-HSP scale already demonstrated acceptable fit indices, the CFA-derived model achieved even better fit. This was evidenced by notable improvements: the TLI and CFI rose by 0.12 and 0.11, respectively, while both the RMSEA and the &#x03C7;<sup>2</sup>/<italic>df</italic> dropped significantly, by 0.06 and 1.304, respectively (<italic>p</italic> &#x003C; 0.05). The MDS-HSP scale also met the criteria for convergent validity. Regarding convergent validity, findings indicated that the AVE values for constructs&#x2013;such as &#x201C;acquiescence to patients&#x2019; rights violations,&#x201D; &#x201C;lack of professional competence,&#x201D; &#x201C;disrespect for patients&#x2019; autonomy,&#x201D; &#x201C;futile treatment,&#x201D; &#x201C;organizational and social climate,&#x201D; and &#x201C;not in patients&#x2019; best interest&#x201D;&#x2013;were all above the suggested benchmark of 0.50 (<xref ref-type="bibr" rid="B31">Hair et al., 2018</xref>; <xref ref-type="bibr" rid="B54">Malhotra, 2008</xref>) and lower than their CR scores, exceeding. Therefore, because all AVEs exceeded 0.50 and were lower than their corresponding CRs, which all surpassed 0.60, the scale&#x2019;s convergent validity is well established. Reliability testing also revealed excellent internal consistency in both the CFA-derived and EFA-derived versions of the scale. Across the full scale and all six factors, both the CR and Cronbach&#x2019;s alphas ranged from 0.812 to 0.987, well exceeding the accepted minimum of 0.70 (<xref ref-type="bibr" rid="B21">Cunha et al., 2016</xref>; <xref ref-type="bibr" rid="B31">Hair et al., 2018</xref>), further confirming the scale&#x2019;s robustness and trustworthiness.</p>
<p>Compared with the MDS and MDS-R, the MDS-HSP demonstrates higher overall reliability, with a Cronbach&#x2019;s alpha of 0.974 and subscale values ranging from 0.832 to 0.957. By comparison, <xref ref-type="bibr" rid="B19">Corley et al.&#x2019;s (2001)</xref> MDS reported an overall alpha of 0.96, with subscale alphas between 0.82 and 0.97, while <xref ref-type="bibr" rid="B35">Hamric et al.&#x2019;s (2012)</xref> MDS-R showed an alpha of 0.89 for nurses and lower reliability for physicians, ranging from 0.67 in smaller samples to 0.88 in larger cohorts. These results indicate that the MDS-HSP provides robust reliability for measuring moral distress in healthcare settings. The results showed that both EFA and CFA supported the proposed factor structure and demonstrated adequate validity and reliability. Consequently, the scale can serve as a diagnostic and evaluative instrument in educational and clinical settings. Hence, it allows healthcare instructors and administrators to identify which aspects of moral distress are most pronounced and design targeted interventions accordingly. For example, educational interventions such as simulation-based training, clinical skills workshops, and mentorship programs may address distress related to lack of professional competence (<xref ref-type="bibr" rid="B9">Berger, 2014</xref>), while institutional policies, organizational cultures, and more straightforward guidelines on end-of-life care can mitigate distress associated with futile treatment (<xref ref-type="bibr" rid="B23">Dzeng et al., 2015</xref>; <xref ref-type="bibr" rid="B24">Eagle et al., 2015</xref>). Enhancing organizational communication, ethical support, and team-based decision-making may reduce distress linked to negative social climate (<xref ref-type="bibr" rid="B34">Hamric and Epstein, 2017</xref>), whereas structured communication, shared decision-making, and patient-centered care can help reduce distress associated with respecting patient autonomy or decisions not in patients&#x2019; best interest (<xref ref-type="bibr" rid="B45">Johnstone and Hutchinson, 2015</xref>; <xref ref-type="bibr" rid="B80">Zolnierek and DiMatteo, 2009</xref>). Reporting mechanisms can also help manage distress related to acquiescence to rights violations (<xref ref-type="bibr" rid="B74">Ulrich et al., 2010b</xref>).</p>
<p>Some factors of the MDS-HSP, such as organizational climate and futile treatment, reflect ethical challenges common across healthcare settings internationally and may be generalizable. Other factors&#x2013;particularly &#x201C;acquiescence to patients&#x2019; rights violations&#x201D; and perceptions of &#x201C;disrespect for patients&#x2019; autonomy&#x201D;&#x2013;are influenced by Taiwan&#x2019;s cultural context, including hierarchical decision-making, family-centered care, and respect for authority, highlighting the scale&#x2019;s culturally specific relevance (<xref ref-type="bibr" rid="B49">Ko et al., 2018</xref>; <xref ref-type="bibr" rid="B51">Kramer et al., 2002</xref>).</p>
<p>Overall, the MDS-HSP provides a framework to connect empirical assessment of moral distress with practical educational and institutional strategies, while acknowledging the cultural differences shaping healthcare providers&#x2019; experiences in Taiwan. It will help healthcare instructors and administrators identify ethical challenges and moral distress in clinical practice and design appropriate educational interventions, training programs, or institutional policies to reduce moral distress, thereby facilitating professional well-being and effective care delivery. This recognition can also foster broader cultural understanding of the moral complexities healthcare providers face. Nevertheless, this study has certain limitations. The sample was restricted to Taiwanese participants, limiting the generalizability of the findings to other cultural and clinical contexts. Cultural and contextual factors deeply impact moral distress, and differences in healthcare systems, professional roles, social values, and ethical standards across regions can shape how individuals perceive and respond to such distress. Consequently, the current scale may not fully reflect the complexities of moral distress in settings that differ significantly in cultural, ethical, or socioeconomic conditions. Future research should aim to validate the MDS-HSP scale in diverse healthcare systems and cultural contexts, including adaptations for cross-cultural use. Future research may also focus on longitudinal validation, cross-cultural application, and the effects of targeted interventions on moral distress levels over time.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>5 Conclusion</title>
<p>This study offers empirical support for the MDS-HSP, confirming its validity and reliability for measuring moral distress in healthcare students and providers within the Taiwanese cultural context. Both exploratory and confirmatory factor analyses demonstrated its strong psychometric properties, establishing the MDS-HSP as a dependable assessment tool. Use of this instrument may guide the development of educational programs, institutional policies, and ethical support frameworks in both healthcare and academic settings.</p>
</sec>
</body>
<back>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Review Board of Chung Shan Medical University Hospital granted approval for the research. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>H-CL: Methodology, Validation, Data curation, Investigation, Formal analysis, Conceptualization, Writing &#x2013; review &#x0026; editing, Supervision, Software, Writing &#x2013; original draft. Y-HW: Project administration, Conceptualization, Resources, Visualization, Methodology, Validation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Investigation, Funding acquisition.</p>
</sec>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The National Science and Technology Council (Taiwan) supported the research.</p>
</sec>
<ack><p>The researchers are grateful to all study participants.</p>
</ack>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="S12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al-Humadi</surname> <given-names>S.</given-names></name> <name><surname>Bronson</surname> <given-names>B.</given-names></name> <name><surname>Muhlrad</surname> <given-names>S.</given-names></name> <name><surname>Paulus</surname> <given-names>M.</given-names></name> <name><surname>Hong</surname> <given-names>H.</given-names></name> <name><surname>C&#x00E1;ceda</surname> <given-names>R.</given-names></name></person-group> (<year>2021</year>). <article-title>Depression, suicidal thoughts, and burnout among physicians during the COVID-19 pandemic: A survey-based cross-sectional study.</article-title> <source><italic>Acad. Psychiatry</italic></source> <volume>45</volume> <fpage>557</fpage>&#x2013;<lpage>565</lpage>. <pub-id pub-id-type="doi">10.1007/s40596-021-01490-3</pub-id> <pub-id pub-id-type="pmid">34128193</pub-id></citation></ref>
<ref id="B2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arbuckle</surname> <given-names>J. L.</given-names></name></person-group> (<year>2016</year>). <source><italic>IBM SPSS Amos 24 user&#x2019;s guide.</italic></source> <publisher-loc>Armonk, NY</publisher-loc>: <publisher-name>IBM Corp</publisher-name>.</citation></ref>
<ref id="B3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aultman</surname> <given-names>J.</given-names></name> <name><surname>Wurzel</surname> <given-names>R.</given-names></name></person-group> (<year>2014</year>). <article-title>Recognizing and alleviating moral distress among obstetrics and gynecology residents.</article-title> <source><italic>J. Graduate Med. Educ.</italic></source> <volume>6</volume> <fpage>457</fpage>&#x2013;<lpage>462</lpage>. <pub-id pub-id-type="doi">10.4300/JGME-D-13-00256.1</pub-id> <pub-id pub-id-type="pmid">26279769</pub-id></citation></ref>
<ref id="B4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Austin</surname> <given-names>C. L.</given-names></name> <name><surname>Saylor</surname> <given-names>R.</given-names></name> <name><surname>Finley</surname> <given-names>P. J.</given-names></name></person-group> (<year>2017</year>). <article-title>Moral distress in physicians and nurses: Impact on professional quality of life and turnover.</article-title> <source><italic>Psychol. Trauma Theory Res. Pract Policy</italic></source> <volume>9</volume> <fpage>399</fpage>&#x2013;<lpage>406</lpage>. <pub-id pub-id-type="doi">10.1037/tra0000201</pub-id> <pub-id pub-id-type="pmid">27797570</pub-id></citation></ref>
<ref id="B5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bartlett</surname> <given-names>M. S.</given-names></name></person-group> (<year>1950</year>). <article-title>Tests of significance in factor analysis.</article-title> <source><italic>Br. J. Psychol.</italic></source> <volume>3</volume> <fpage>77</fpage>&#x2013;<lpage>85</lpage>. <pub-id pub-id-type="doi">10.1111/j.2044-8317.1950.tb00285.x</pub-id></citation></ref>
<ref id="B6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bartlett</surname> <given-names>M. S.</given-names></name></person-group> (<year>1951</year>). <article-title>A further note on tests of significance in factor analysis.</article-title> <source><italic>Br. J. Psychol.</italic></source> <volume>4</volume> <fpage>1</fpage>&#x2013;<lpage>2</lpage>. <pub-id pub-id-type="doi">10.1111/j.2044-8317.1951</pub-id></citation></ref>
<ref id="B7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beltr&#x00E3;o</surname> <given-names>J. R.</given-names></name> <name><surname>Beltr&#x00E3;o</surname> <given-names>M. R.</given-names></name> <name><surname>Bernardelli</surname> <given-names>R. S.</given-names></name> <name><surname>Franco</surname> <given-names>R. S.</given-names></name> <name><surname>Epstein</surname> <given-names>E. G.</given-names></name> <name><surname>Corradi-Perini</surname> <given-names>C.</given-names></name></person-group> (<year>2023</year>). <article-title>Adaptation and validation of the Brazilian version of the Measure of moral distress for healthcare professionals (MMD-HP BR) in the context of palliative care.</article-title> <source><italic>BMC Palliative Care</italic></source> <volume>22</volume>:<fpage>154</fpage>. <pub-id pub-id-type="doi">10.1186/s12904-023-01277-3</pub-id> <pub-id pub-id-type="pmid">37821873</pub-id></citation></ref>
<ref id="B8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bentler</surname> <given-names>P. M.</given-names></name></person-group> (<year>1990</year>). <article-title>Comparative fit indexes in structural models.</article-title> <source><italic>Psychol. Bull.</italic></source> <volume>107</volume> <fpage>238</fpage>&#x2013;<lpage>246</lpage>. <pub-id pub-id-type="doi">10.1037/0033-2909.107.2.238</pub-id> <pub-id pub-id-type="pmid">2320703</pub-id></citation></ref>
<ref id="B9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Berger</surname> <given-names>J. T.</given-names></name></person-group> (<year>2014</year>). <article-title>Moral distress in medical education and training.</article-title> <source><italic>J. General Internal Med.</italic></source> <volume>29</volume> <fpage>395</fpage>&#x2013;<lpage>398</lpage>. <pub-id pub-id-type="doi">10.1007/s11606-013-2665-0</pub-id> <pub-id pub-id-type="pmid">24146350</pub-id></citation></ref>
<ref id="B10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Berlinger</surname> <given-names>N.</given-names></name> <name><surname>Berlinger</surname> <given-names>A.</given-names></name></person-group> (<year>2017</year>). <article-title>Culture and moral distress: What&#x2019;s the connection and why does it matter?</article-title> <source><italic>AMA J. Ethics</italic></source> <volume>19</volume> <fpage>608</fpage>&#x2013;<lpage>616</lpage>. <pub-id pub-id-type="doi">10.1001/journalofethics.2017.19.6.msoc1-1706</pub-id> <pub-id pub-id-type="pmid">28644791</pub-id></citation></ref>
<ref id="B11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boateng</surname> <given-names>G. O.</given-names></name> <name><surname>Neilands</surname> <given-names>T. B.</given-names></name> <name><surname>Frongillo</surname> <given-names>E. A.</given-names></name> <name><surname>Melgar-Qui&#x00F1;onez</surname> <given-names>H. R.</given-names></name> <name><surname>Young</surname> <given-names>S. L.</given-names></name></person-group> (<year>2018</year>). <article-title>Best practices for developing and validating scales for health, social, and behavioral research: A primer.</article-title> <source><italic>Front. Public Health</italic></source> <volume>6</volume>:<fpage>149</fpage>. <pub-id pub-id-type="doi">10.3389/fpubh.2018.00149</pub-id> <pub-id pub-id-type="pmid">29942800</pub-id></citation></ref>
<ref id="B12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brazil</surname> <given-names>K.</given-names></name> <name><surname>Kassalainen</surname> <given-names>S.</given-names></name> <name><surname>Ploeg</surname> <given-names>J.</given-names></name> <name><surname>Marshall</surname> <given-names>D.</given-names></name></person-group> (<year>2010</year>). <article-title>Moral distress experienced by health care professionals who provide home-based palliative care.</article-title> <source><italic>Soc. Sci. Med.</italic></source> <volume>71</volume> <fpage>1687</fpage>&#x2013;<lpage>1691</lpage>. <pub-id pub-id-type="doi">10.1016/j.socscimed.2010.07.032</pub-id> <pub-id pub-id-type="pmid">20832923</pub-id></citation></ref>
<ref id="B13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Burston</surname> <given-names>A. S.</given-names></name> <name><surname>Tuckett</surname> <given-names>A. G.</given-names></name></person-group> (<year>2012</year>). <article-title>Moral distress in nursing: Contributing factors, outcomes and interventions.</article-title> <source><italic>Nursing Ethics</italic></source> <volume>20</volume> <fpage>312</fpage>&#x2013;<lpage>324</lpage>. <pub-id pub-id-type="doi">10.1177/0969733012462049</pub-id> <pub-id pub-id-type="pmid">23275458</pub-id></citation></ref>
<ref id="B14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Byrne</surname> <given-names>B. M.</given-names></name></person-group> (<year>2010</year>). <source><italic>Structural equation modeling with AMOS: Basic concepts, applications, and programming.</italic></source> <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Routledge</publisher-name>.</citation></ref>
<ref id="B15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>F. F.</given-names></name></person-group> (<year>2007</year>). <article-title>Sensitivity of goodness of fit indexes to lack of measurement invariance.</article-title> <source><italic>Struct. Equ. Modeling Multidisciplinary J.</italic></source> <volume>14</volume> <fpage>464</fpage>&#x2013;<lpage>504</lpage>. <pub-id pub-id-type="doi">10.1080/10705510701301834</pub-id></citation></ref>
<ref id="B16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Churchill</surname> <given-names>G. A.</given-names></name></person-group> (<year>1979</year>). <article-title>A paradigm for developing better measures of marketing constructs.</article-title> <source><italic>J. Mark. Res.</italic></source> <volume>16</volume> <fpage>64</fpage>&#x2013;<lpage>73</lpage>. <pub-id pub-id-type="doi">10.2307/3150876</pub-id></citation></ref>
<ref id="B17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Corley</surname> <given-names>M. C.</given-names></name></person-group> (<year>1995</year>). <article-title>Moral distress of critical care nurses.</article-title> <source><italic>Am. J. Crit. Care</italic></source> <volume>4</volume> <fpage>280</fpage>&#x2013;<lpage>285</lpage>. <pub-id pub-id-type="doi">10.4037/ajcc1995.4.4.280</pub-id></citation></ref>
<ref id="B18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Corley</surname> <given-names>M. C.</given-names></name></person-group> (<year>2002</year>). <article-title>Nurse moral distress: A proposed theory and research agenda.</article-title> <source><italic>Nursing Ethics</italic></source> <volume>9</volume> <fpage>636</fpage>&#x2013;<lpage>650</lpage>. <pub-id pub-id-type="doi">10.1191/0969733002ne557oa</pub-id> <pub-id pub-id-type="pmid">12450000</pub-id></citation></ref>
<ref id="B19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Corley</surname> <given-names>M. C.</given-names></name> <name><surname>Elswick</surname> <given-names>R. K.</given-names></name> <name><surname>Gorman</surname> <given-names>M.</given-names></name> <name><surname>Clor</surname> <given-names>T.</given-names></name></person-group> (<year>2001</year>). <article-title>Development and evaluation of a moral distress scale.</article-title> <source><italic>J. Adv. Nurs.</italic></source> <volume>33</volume> <fpage>250</fpage>&#x2013;<lpage>256</lpage>. <pub-id pub-id-type="doi">10.1046/j.1365-2648.2001.01658.x</pub-id> <pub-id pub-id-type="pmid">11168709</pub-id></citation></ref>
<ref id="B20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Coughlin</surname> <given-names>M. E.</given-names></name></person-group> (<year>2021</year>). <source><italic>Transformative nursing in the NICU: Trauma-informed, age-appropriate care</italic></source>, <edition>2nd Edn</edition>. <publisher-loc>Berlin</publisher-loc>: <publisher-name>Springer</publisher-name>.</citation></ref>
<ref id="B21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cunha</surname> <given-names>C. M.</given-names></name> <name><surname>Almeida Neto</surname> <given-names>O. P.</given-names></name> <name><surname>Stackfleth</surname> <given-names>R.</given-names></name></person-group> (<year>2016</year>). <article-title>Main psychometric evaluation methods of measuring instruments reliability.</article-title> <source><italic>Revista Aten&#x00E7;&#x00E3;o &#x00E0; Sa&#x00FA;de</italic></source> <volume>14</volume> <fpage>98</fpage>&#x2013;<lpage>103</lpage>. <pub-id pub-id-type="doi">10.13037/ras.vol14n49.3671</pub-id></citation></ref>
<ref id="B22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Delfrate</surname> <given-names>F.</given-names></name> <name><surname>Ferrara</surname> <given-names>P.</given-names></name> <name><surname>Spotti</surname> <given-names>D.</given-names></name> <name><surname>Terzoni</surname> <given-names>S.</given-names></name> <name><surname>Lamiani</surname> <given-names>G.</given-names></name> <name><surname>Canciani</surname> <given-names>E.</given-names></name><etal/></person-group> (<year>2018</year>). <article-title>Moral distress (MD) and burnout in mental health nurses: A multicenter survey.</article-title> <source><italic>Medicina del Lavoro</italic></source> <volume>109</volume> <fpage>97</fpage>&#x2013;<lpage>109</lpage>. <pub-id pub-id-type="doi">10.23749/mdl.v109i2.6876</pub-id> <pub-id pub-id-type="pmid">29701626</pub-id></citation></ref>
<ref id="B23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dzeng</surname> <given-names>E.</given-names></name> <name><surname>Colaianni</surname> <given-names>A.</given-names></name> <name><surname>Roland</surname> <given-names>M.</given-names></name> <name><surname>Chander</surname> <given-names>G.</given-names></name> <name><surname>Smith</surname> <given-names>T. J.</given-names></name> <name><surname>Kelly</surname> <given-names>M. P.</given-names></name><etal/></person-group> (<year>2015</year>). <article-title>Influence of institutional culture and policies on do-not-resuscitate decision making at the end of life.</article-title> <source><italic>JAMA Internal Med.</italic></source> <volume>175</volume> <fpage>812</fpage>&#x2013;<lpage>819</lpage>. <pub-id pub-id-type="doi">10.1001/jamainternmed.2015.0295</pub-id> <pub-id pub-id-type="pmid">25845020</pub-id></citation></ref>
<ref id="B24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Eagle</surname> <given-names>K. A.</given-names></name> <name><surname>Vaishnava</surname> <given-names>P.</given-names></name> <name><surname>Froehlich</surname> <given-names>J. B.</given-names></name></person-group> (<year>2015</year>). <article-title>Perioperative cardiovascular care for patients undergoing noncardiac surgical intervention.</article-title> <source><italic>JAMA Internal Med.</italic></source> <volume>175</volume> <fpage>835</fpage>&#x2013;<lpage>839</lpage>. <pub-id pub-id-type="doi">10.1001/jamainternmed.2015.0150</pub-id> <pub-id pub-id-type="pmid">25775417</pub-id></citation></ref>
<ref id="B25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Epstein</surname> <given-names>E. G.</given-names></name> <name><surname>Hamric</surname> <given-names>A. B.</given-names></name></person-group> (<year>2009</year>). <article-title>Moral distress, moral residue, and the crescendo effect.</article-title> <source><italic>J. Clin. Ethics</italic></source> <volume>20</volume> <fpage>330</fpage>&#x2013;<lpage>342</lpage>. <pub-id pub-id-type="doi">10.1086/JCE200920406</pub-id></citation></ref>
<ref id="B26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Epstein</surname> <given-names>E. G.</given-names></name> <name><surname>Whitehead</surname> <given-names>P. B.</given-names></name> <name><surname>Prompahakul</surname> <given-names>C.</given-names></name> <name><surname>Thacker</surname> <given-names>L. R.</given-names></name> <name><surname>Hamric</surname> <given-names>A. B.</given-names></name></person-group> (<year>2019</year>). <article-title>Enhancing understanding of moral distress: The measure of moral distress for health care professionals.</article-title> <source><italic>AJOB Empirical Bioethics</italic></source> <volume>10</volume> <fpage>113</fpage>&#x2013;<lpage>124</lpage>. <pub-id pub-id-type="doi">10.1080/23294515.2019.1586008</pub-id> <pub-id pub-id-type="pmid">31002584</pub-id></citation></ref>
<ref id="B27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ferrell</surname> <given-names>B. R.</given-names></name></person-group> (<year>2006</year>). <article-title>Understanding the moral distress of nurses witnessing medically futile care.</article-title> <source><italic>Oncol. Nurs. Forum</italic></source> <volume>33</volume> <fpage>922</fpage>&#x2013;<lpage>930</lpage>. <pub-id pub-id-type="doi">10.1188/06.ONF.922-930</pub-id> <pub-id pub-id-type="pmid">16955120</pub-id></citation></ref>
<ref id="B28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fujii</surname> <given-names>T.</given-names></name> <name><surname>Katayama</surname> <given-names>S.</given-names></name> <name><surname>Miyazaki</surname> <given-names>K.</given-names></name> <name><surname>Nashiki</surname> <given-names>H.</given-names></name> <name><surname>Niitsu</surname> <given-names>T.</given-names></name> <name><surname>Takei</surname> <given-names>T.</given-names></name><etal/></person-group> (<year>2021</year>). <article-title>Translation and validation of the Japanese version of the measure of moral distress for healthcare professionals.</article-title> <source><italic>Health Qual. Life Outcomes</italic></source> <volume>19</volume>:<fpage>120</fpage>. <pub-id pub-id-type="doi">10.1186/s12955-021-01765-1</pub-id> <pub-id pub-id-type="pmid">33849571</pub-id></citation></ref>
<ref id="B29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Godshall</surname> <given-names>M.</given-names></name></person-group> (<year>2021</year>). <article-title>Coping with moral distress during COVID-19.</article-title> <source><italic>Nursing</italic></source> <volume>51</volume> <fpage>55</fpage>&#x2013;<lpage>58</lpage>. <pub-id pub-id-type="doi">10.1097/01.NURSE.0000731840.43661.99</pub-id> <pub-id pub-id-type="pmid">33953101</pub-id></citation></ref>
<ref id="B30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Haghighinezhad</surname> <given-names>G.</given-names></name> <name><surname>Atashzadeh-Shoorideh</surname> <given-names>F.</given-names></name> <name><surname>Ashktorab</surname> <given-names>T.</given-names></name> <name><surname>Mohtashami</surname> <given-names>J.</given-names></name> <name><surname>Barkhordari-Sharifabad</surname> <given-names>M.</given-names></name></person-group> (<year>2019</year>). <article-title>Relationship between perceived organizational justice and moral distress in intensive care unit nurses.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>26</volume> <fpage>460</fpage>&#x2013;<lpage>470</lpage>. <pub-id pub-id-type="doi">10.1177/0969733017712082</pub-id> <pub-id pub-id-type="pmid">28752794</pub-id></citation></ref>
<ref id="B31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hair</surname> <given-names>J.</given-names></name> <name><surname>Black</surname> <given-names>W.</given-names></name> <name><surname>Babin</surname> <given-names>B.</given-names></name> <name><surname>Anderson</surname> <given-names>R.</given-names></name></person-group> (<year>2018</year>). <source><italic>Multivariate data analysis</italic></source>, <edition>8th Edn</edition>. <publisher-loc>Boston, MA</publisher-loc>: <publisher-name>Cengage Learning EMEA</publisher-name>.</citation></ref>
<ref id="B32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hamric</surname> <given-names>A. B.</given-names></name></person-group> (<year>2010</year>). <article-title>Moral distress and nurse-physician relationships.</article-title> <source><italic>Virtual Mentor</italic></source> <volume>12</volume> <fpage>6</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1001/virtualmentor.2010.12.1.ccas1-1001</pub-id> <pub-id pub-id-type="pmid">23140776</pub-id></citation></ref>
<ref id="B33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hamric</surname> <given-names>A. B.</given-names></name> <name><surname>Blackhall</surname> <given-names>L. J.</given-names></name></person-group> (<year>2007</year>). <article-title>Nurse-physician perspectives on the care of dying patients in intensive care units: Collaboration, moral distress, and ethical climate.</article-title> <source><italic>Crit. Care Med.</italic></source> <volume>35</volume> <fpage>422</fpage>&#x2013;<lpage>429</lpage>. <pub-id pub-id-type="doi">10.1097/01.CCM.0000254722.50608.2D</pub-id> <pub-id pub-id-type="pmid">17205001</pub-id></citation></ref>
<ref id="B34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hamric</surname> <given-names>A. B.</given-names></name> <name><surname>Epstein</surname> <given-names>E. G.</given-names></name></person-group> (<year>2017</year>). <article-title>A health system-wide moral distress consultation service: Development and evaluation.</article-title> <source><italic>HEC Forum</italic></source> <volume>29</volume> <fpage>127</fpage>&#x2013;<lpage>143</lpage>. <pub-id pub-id-type="doi">10.1007/s10730-016-9315-y</pub-id> <pub-id pub-id-type="pmid">28070806</pub-id></citation></ref>
<ref id="B35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hamric</surname> <given-names>A. B.</given-names></name> <name><surname>Borchers</surname> <given-names>C. T.</given-names></name> <name><surname>Epstein</surname> <given-names>E. G.</given-names></name></person-group> (<year>2012</year>). <article-title>Development and testing of an instrument to measure moral distress in healthcare professionals.</article-title> <source><italic>AJOB Primary Res.</italic></source> <volume>3</volume> <fpage>1</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1080/21507716.2011.652337</pub-id></citation></ref>
<ref id="B36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hooper</surname> <given-names>D.</given-names></name> <name><surname>Coughlan</surname> <given-names>J.</given-names></name> <name><surname>Mullen</surname> <given-names>M.</given-names></name></person-group> (<year>2008</year>). <article-title>Structural equation modelling: Guidelines for determining model fit.</article-title> <source><italic>Electronic J. Bus. Res. Methods</italic></source> <volume>6</volume> <fpage>53</fpage>&#x2013;<lpage>60</lpage>.</citation></ref>
<ref id="B37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Horton</surname> <given-names>K.</given-names></name> <name><surname>Tschudin</surname> <given-names>V.</given-names></name> <name><surname>Forget</surname> <given-names>A.</given-names></name></person-group> (<year>2007</year>). <article-title>The value of nursing: A literature review.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>14</volume> <fpage>716</fpage>&#x2013;<lpage>740</lpage>. <pub-id pub-id-type="doi">10.1177/0969733007082112</pub-id> <pub-id pub-id-type="pmid">17901183</pub-id></citation></ref>
<ref id="B38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>L.</given-names></name> <name><surname>Bentler</surname> <given-names>P. M.</given-names></name></person-group> (<year>1999</year>). <article-title>Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.</article-title> <source><italic>Struct. Equ. Model. Multidisciplinary J.</italic></source> <volume>6</volume> <fpage>1</fpage>&#x2013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1080/10705519909540118</pub-id></citation></ref>
<ref id="B39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huffman</surname> <given-names>D. M.</given-names></name> <name><surname>Rittenmeyer</surname> <given-names>L.</given-names></name></person-group> (<year>2012</year>). <article-title>How professional nurses working in hospital environments experience moral distress: A systematic review.</article-title> <source><italic>Crit. Care Nurs. Clin. North Am.</italic></source> <volume>24</volume> <fpage>91</fpage>&#x2013;<lpage>100</lpage>. <pub-id pub-id-type="doi">10.1016/j.ccell.2012.01.004</pub-id> <pub-id pub-id-type="pmid">22405714</pub-id></citation></ref>
<ref id="B40"><citation citation-type="journal"><collab>IBM Corp.</collab> (<year>2016</year>). <source><italic>IBM SPSS Statistics for Windows (Version 24.0).</italic></source> <publisher-loc>Armonk, NY</publisher-loc>: <publisher-name>IBM Corp</publisher-name>.</citation></ref>
<ref id="B41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jameton</surname> <given-names>A.</given-names></name></person-group> (<year>1984</year>). <source><italic>Nursing practice: The ethical issues.</italic></source> <publisher-loc>Englewood Cliffs, NJ</publisher-loc>: <publisher-name>Prentice-Hall</publisher-name>.</citation></ref>
<ref id="B42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jameton</surname> <given-names>A.</given-names></name></person-group> (<year>1993</year>). <article-title>Dilemmas of moral distress: Moral responsibility and nursing practice.</article-title> <source><italic>AWHONN&#x2019;s Clin. Issues Perinat. Women&#x2019;s Health Nurs</italic>.</source> <volume>4</volume> <fpage>542</fpage>&#x2013;<lpage>551</lpage>.</citation></ref>
<ref id="B43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jameton</surname> <given-names>A.</given-names></name></person-group> (<year>2017</year>). <article-title>What moral distress in nursing history could suggest about the future of health care.</article-title> <source><italic>AMA J. Ethics</italic></source> <volume>19</volume> <fpage>617</fpage>&#x2013;<lpage>628</lpage>. <pub-id pub-id-type="doi">10.1001/journalofethics.2017.19.6.mhst1-1706</pub-id> <pub-id pub-id-type="pmid">28644792</pub-id></citation></ref>
<ref id="B44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jansen</surname> <given-names>T. L.</given-names></name> <name><surname>Hem</surname> <given-names>M. H.</given-names></name> <name><surname>Dambolt</surname> <given-names>L. J.</given-names></name> <name><surname>Hanssen</surname> <given-names>I.</given-names></name></person-group> (<year>2020</year>). <article-title>Moral distress in acute psychiatric nursing: Multifaceted dilemmas and demands.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>27</volume> <fpage>1315</fpage>&#x2013;<lpage>1326</lpage>. <pub-id pub-id-type="doi">10.1177/0969733019877526</pub-id> <pub-id pub-id-type="pmid">31631779</pub-id></citation></ref>
<ref id="B45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Johnstone</surname> <given-names>M. J.</given-names></name> <name><surname>Hutchinson</surname> <given-names>A.</given-names></name></person-group> (<year>2015</year>). <article-title>&#x201C;Moral distress&#x201D;&#x2014;Time to abandon a flawed nursing construct?</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>22</volume> <fpage>5</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1177/0969733013505312</pub-id> <pub-id pub-id-type="pmid">24311238</pub-id></citation></ref>
<ref id="B46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kaiser</surname> <given-names>H. F.</given-names></name></person-group> (<year>1970</year>). <article-title>A second generation Little Jiffy.</article-title> <source><italic>Psychometrika</italic></source> <volume>35</volume> <fpage>401</fpage>&#x2013;<lpage>417</lpage>. <pub-id pub-id-type="doi">10.1007/BF02291817</pub-id></citation></ref>
<ref id="B47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kaiser</surname> <given-names>H. F.</given-names></name> <name><surname>Rice</surname> <given-names>J.</given-names></name></person-group> (<year>1974</year>). <article-title>Little Jiffy, Mark IV.</article-title> <source><italic>Educ. Psychol. Meas.</italic></source> <volume>34</volume> <fpage>111</fpage>&#x2013;<lpage>117</lpage>. <pub-id pub-id-type="doi">10.1177/001316447403400115</pub-id></citation></ref>
<ref id="B48"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kline</surname> <given-names>R. B.</given-names></name></person-group> (<year>2016</year>). <source><italic>Principles and practice of structural equation modeling</italic></source>, <edition>4th Edn</edition>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>The Guilford Press</publisher-name>.</citation></ref>
<ref id="B49"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ko</surname> <given-names>H.-K.</given-names></name> <name><surname>Chin</surname> <given-names>C.-C.</given-names></name> <name><surname>Hsu</surname> <given-names>M.-T.</given-names></name> <name><surname>Lee</surname> <given-names>S.-L.</given-names></name></person-group> (<year>2018</year>). <article-title>Phenomenon of moral distress through the aspect of interpretive interactionism.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>26</volume> <fpage>1484</fpage>&#x2013;<lpage>1493</lpage>. <pub-id pub-id-type="doi">10.1177/0969733018766579</pub-id> <pub-id pub-id-type="pmid">29656704</pub-id></citation></ref>
<ref id="B50"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Koufteros</surname> <given-names>X. A.</given-names></name></person-group> (<year>1999</year>). <article-title>Testing a model of pull production: A paradigm for manufacturing research using structural equation modeling.</article-title> <source><italic>J. Operations Manag.</italic></source> <volume>17</volume> <fpage>467</fpage>&#x2013;<lpage>488</lpage>. <pub-id pub-id-type="doi">10.1016/S0272-6963(99)00002-9</pub-id></citation></ref>
<ref id="B51"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kramer</surname> <given-names>E. J.</given-names></name> <name><surname>Kwong</surname> <given-names>K.</given-names></name> <name><surname>Lee</surname> <given-names>E.</given-names></name> <name><surname>Chung</surname> <given-names>H.</given-names></name></person-group> (<year>2002</year>). <article-title>Cultural factors influencing the mental health of Asian Americans.</article-title> <source><italic>Western J. Med.</italic></source> <volume>176</volume> <fpage>227</fpage>&#x2013;<lpage>231</lpage>.</citation></ref>
<ref id="B52"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lachman</surname> <given-names>V. D.</given-names></name></person-group> (<year>2016</year>). <article-title>Moral resilience: Managing and preventing moral distress and moral residue.</article-title> <source><italic>Medsurg Nurs.</italic></source> <volume>25</volume> <fpage>121</fpage>&#x2013;<lpage>124</lpage>.</citation></ref>
<ref id="B53"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lamiani</surname> <given-names>G.</given-names></name> <name><surname>Borghi</surname> <given-names>L.</given-names></name> <name><surname>Argentero</surname> <given-names>P.</given-names></name></person-group> (<year>2017</year>). <article-title>When healthcare professionals cannot do the right thing: A systematic review of moral distress and its correlates.</article-title> <source><italic>J. Health Psychol.</italic></source> <volume>22</volume> <fpage>51</fpage>&#x2013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1177/1359105315595120</pub-id> <pub-id pub-id-type="pmid">26220460</pub-id></citation></ref>
<ref id="B54"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Malhotra</surname> <given-names>N. K.</given-names></name></person-group> (<year>2008</year>). <source><italic>Pesquisa de marketing: Uma orienta&#x00E7;&#x00E3;o aplicada [Marketing research: An applied orientation]</italic></source>, <edition>6th Edn</edition>. <publisher-loc>S&#x00E3;o Paulo</publisher-loc>: <publisher-name>Bookman</publisher-name>. Portuguese</citation></ref>
<ref id="B55"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McCarthy</surname> <given-names>J.</given-names></name> <name><surname>Gastmans</surname> <given-names>C.</given-names></name></person-group> (<year>2015</year>). <article-title>Moral distress: A review of the argument-based nursing ethics literature.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>22</volume> <fpage>131</fpage>&#x2013;<lpage>152</lpage>. <pub-id pub-id-type="doi">10.1177/0969733014557139</pub-id> <pub-id pub-id-type="pmid">25505098</pub-id></citation></ref>
<ref id="B56"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Musto</surname> <given-names>L. C.</given-names></name> <name><surname>Rodney</surname> <given-names>P. A.</given-names></name> <name><surname>Vanderheide</surname> <given-names>R.</given-names></name></person-group> (<year>2015</year>). <article-title>Toward interventions to address moral distress: Navigating structure and agency.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>22</volume> <fpage>91</fpage>&#x2013;<lpage>102</lpage>. <pub-id pub-id-type="doi">10.1177/0969733014534879</pub-id> <pub-id pub-id-type="pmid">24917268</pub-id></citation></ref>
<ref id="B57"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Oh</surname> <given-names>Y.</given-names></name> <name><surname>Gastmans</surname> <given-names>C.</given-names></name></person-group> (<year>2015</year>). <article-title>Moral distress experienced by nurses: A quantitative literature review.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>22</volume> <fpage>15</fpage>&#x2013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1177/0969733013502803</pub-id> <pub-id pub-id-type="pmid">24091351</pub-id></citation></ref>
<ref id="B58"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pallant</surname> <given-names>J.</given-names></name></person-group> (<year>2013</year>). <source><italic>SPSS survival manual: A step by step guide to data analysis using SPSS</italic></source>, <edition>4th Edn</edition>. <publisher-loc>Crows Nest, NSW</publisher-loc>: <publisher-name>Allen &#x0026; Unwin</publisher-name>.</citation></ref>
<ref id="B59"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Parker</surname> <given-names>G.</given-names></name> <name><surname>Tavella</surname> <given-names>G.</given-names></name></person-group> (<year>2021</year>). <article-title>Burnout: Modeling, measuring, and managing.</article-title> <source><italic>Australas. Psychiatry</italic></source> <volume>29</volume> <fpage>625</fpage>&#x2013;<lpage>627</lpage>. <pub-id pub-id-type="doi">10.1177/10398562211037332</pub-id> <pub-id pub-id-type="pmid">34461751</pub-id></citation></ref>
<ref id="B60"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Picconi</surname> <given-names>L.</given-names></name> <name><surname>Fairfield</surname> <given-names>B.</given-names></name> <name><surname>Sergi</surname> <given-names>M. R.</given-names></name> <name><surname>Cataldi</surname> <given-names>F.</given-names></name> <name><surname>Padulo</surname> <given-names>C.</given-names></name> <name><surname>Brugnera</surname> <given-names>A.</given-names></name><etal/></person-group> (<year>2023</year>). <article-title>Development and validation of a short form of the Geriatric Anxiety Scale (GAS-12) among Italian older adults.</article-title> <source><italic>Clin. Gerontol.</italic></source> <volume>46</volume> <fpage>544</fpage>&#x2013;<lpage>560</lpage>. <pub-id pub-id-type="doi">10.1080/07317115.2022.2120445</pub-id> <pub-id pub-id-type="pmid">36065753</pub-id></citation></ref>
<ref id="B61"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Prentice</surname> <given-names>T.</given-names></name> <name><surname>Janvier</surname> <given-names>A.</given-names></name> <name><surname>Gillam</surname> <given-names>L.</given-names></name> <name><surname>Davis</surname> <given-names>P. G.</given-names></name></person-group> (<year>2016</year>). <article-title>Moral distress within neonatal and paediatric intensive care units: A systematic review.</article-title> <source><italic>Arch. Dis. Childh.</italic></source> <volume>101</volume> <fpage>701</fpage>&#x2013;<lpage>708</lpage>. <pub-id pub-id-type="doi">10.1136/archdischild-2015-309410</pub-id> <pub-id pub-id-type="pmid">26801075</pub-id></citation></ref>
<ref id="B62"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rice</surname> <given-names>E. M.</given-names></name> <name><surname>Rady</surname> <given-names>M. Y.</given-names></name> <name><surname>Hamrick</surname> <given-names>A.</given-names></name> <name><surname>Verheijde</surname> <given-names>J. L.</given-names></name> <name><surname>Pendergast</surname> <given-names>D. K.</given-names></name></person-group> (<year>2008</year>). <article-title>Determinants of moral distress in medical and surgical nurses at an adult acute tertiary care hospital.</article-title> <source><italic>J. Nurs. Manag.</italic></source> <volume>16</volume> <fpage>360</fpage>&#x2013;<lpage>373</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-2834.2007.00798.x</pub-id> <pub-id pub-id-type="pmid">18324996</pub-id></citation></ref>
<ref id="B63"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rushton</surname> <given-names>C. H.</given-names></name></person-group> (<year>2018</year>). <source><italic>Moral resilience: Transforming moral suffering in healthcare.</italic></source> <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Oxford University Press</publisher-name>.</citation></ref>
<ref id="B64"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salari</surname> <given-names>N.</given-names></name> <name><surname>Shohaimi</surname> <given-names>S.</given-names></name> <name><surname>Khaledi-Paveh</surname> <given-names>B.</given-names></name> <name><surname>Kazeminia</surname> <given-names>M.</given-names></name> <name><surname>Bazrafshan</surname> <given-names>M. R.</given-names></name> <name><surname>Mohammadi</surname> <given-names>M.</given-names></name></person-group> (<year>2022</year>). <article-title>The severity of moral distress in nurses: A systematic review and meta-analysis.</article-title> <source><italic>Philos. Ethics Humanit. Med.</italic></source> <volume>17</volume>:<fpage>13</fpage>. <pub-id pub-id-type="doi">10.1186/s13010-022-00126-0</pub-id> <pub-id pub-id-type="pmid">36348378</pub-id></citation></ref>
<ref id="B65"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schermelleh-Engel</surname> <given-names>K.</given-names></name> <name><surname>Moosbrugger</surname> <given-names>H.</given-names></name></person-group> (<year>2003</year>). <article-title>Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures.</article-title> <source><italic>Methods Psychol. Res. Online</italic></source> <volume>8</volume> <fpage>23</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.23668/psycharchives.12784</pub-id></citation></ref>
<ref id="B66"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schumacker</surname> <given-names>R. E.</given-names></name> <name><surname>Lomax</surname> <given-names>R. G.</given-names></name></person-group> (<year>2010</year>). <source><italic>A beginner&#x2019;s guide to structural equation modeling</italic></source>, <edition>3rd Edn</edition>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Routledge</publisher-name>.</citation></ref>
<ref id="B67"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sporrong</surname> <given-names>S. K.</given-names></name> <name><surname>H&#x00F6;glund</surname> <given-names>A. T.</given-names></name> <name><surname>Arnetz</surname> <given-names>B.</given-names></name></person-group> (<year>2006</year>). <article-title>Measuring moral distress in pharmacy and clinical practice.</article-title> <source><italic>Nurs. Ethics</italic></source> <volume>13</volume> <fpage>416</fpage>&#x2013;<lpage>427</lpage>. <pub-id pub-id-type="doi">10.1191/0969733006ne880oa</pub-id> <pub-id pub-id-type="pmid">16838572</pub-id></citation></ref>
<ref id="B68"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tabachnick</surname> <given-names>B. G.</given-names></name> <name><surname>Fidell</surname> <given-names>L. S.</given-names></name></person-group> (<year>2007</year>). <source><italic>Using multivariate statistics</italic></source>, <edition>5th Edn</edition>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Allyn and Bacon</publisher-name>.</citation></ref>
<ref id="B69"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tian</surname> <given-names>X.</given-names></name> <name><surname>Jin</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>H.</given-names></name> <name><surname>Jim&#x00E9;nez-Herrera</surname> <given-names>M. F.</given-names></name></person-group> (<year>2021</year>). <article-title>Instruments for detecting moral distress in clinical nurses: A systematic review.</article-title> <source><italic>Inquiry</italic></source> <volume>58</volume>:<fpage>46958021996499</fpage>. <pub-id pub-id-type="doi">10.1177/0046958021996499</pub-id> <pub-id pub-id-type="pmid">33771048</pub-id></citation></ref>
<ref id="B70"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Topol</surname> <given-names>E. J.</given-names></name></person-group> (<year>2013</year>). <source><italic>The creative destruction of medicine: How the digital revolution will create better healthcare.</italic></source> <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Basic Books</publisher-name>.</citation></ref>
<ref id="B71"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tucker</surname> <given-names>L. R.</given-names></name> <name><surname>Lewis</surname> <given-names>C.</given-names></name></person-group> (<year>1973</year>). <article-title>A reliability coefficient for maximum likelihood factor analysis.</article-title> <source><italic>Psychometrika</italic></source> <volume>38</volume> <fpage>1</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1007/BF02291170</pub-id></citation></ref>
<ref id="B72"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ulrich</surname> <given-names>C. M.</given-names></name> <name><surname>Grady</surname> <given-names>C.</given-names></name></person-group> (<year>2018</year>). <source><italic>Moral distress in the health professions.</italic></source> <publisher-loc>Cham</publisher-loc>: <publisher-name>Springer</publisher-name>.</citation></ref>
<ref id="B73"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ulrich</surname> <given-names>C. M.</given-names></name> <name><surname>Hamric</surname> <given-names>A. B.</given-names></name> <name><surname>Grady</surname> <given-names>C.</given-names></name></person-group> (<year>2010a</year>). <article-title>Moral distress: A growing problem in the health professions?</article-title> <source><italic>Hastings Center Rep.</italic></source> <volume>40</volume> <fpage>20</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1353/hcr.0.0222</pub-id> <pub-id pub-id-type="pmid">20166512</pub-id></citation></ref>
<ref id="B74"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ulrich</surname> <given-names>C. M.</given-names></name> <name><surname>Taylor</surname> <given-names>C.</given-names></name> <name><surname>Soeken</surname> <given-names>K.</given-names></name> <name><surname>O&#x2019;Donnell</surname> <given-names>P.</given-names></name> <name><surname>Farrar</surname> <given-names>A.</given-names></name> <name><surname>Danis</surname> <given-names>M.</given-names></name><etal/></person-group> (<year>2010b</year>). <article-title>Everyday ethics: Ethical issues and stress in nursing practice.</article-title> <source><italic>J. Adv. Nurs.</italic></source> <volume>66</volume> <fpage>2510</fpage>&#x2013;<lpage>2519</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-2648.2010.05425.x</pub-id> <pub-id pub-id-type="pmid">20735502</pub-id></citation></ref>
<ref id="B75"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wheaton</surname> <given-names>B.</given-names></name> <name><surname>Muthen</surname> <given-names>B.</given-names></name> <name><surname>Alwin</surname> <given-names>D. F.</given-names></name> <name><surname>Summers</surname> <given-names>G.</given-names></name></person-group> (<year>1977</year>). <article-title>Assessing reliability and stability in panel models.</article-title> <source><italic>Sociol. Methodol.</italic></source> <volume>8</volume> <fpage>84</fpage>&#x2013;<lpage>136</lpage>. <pub-id pub-id-type="doi">10.2307/270754</pub-id></citation></ref>
<ref id="B76"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Whitehead</surname> <given-names>P. B.</given-names></name> <name><surname>Herbertson</surname> <given-names>R. K.</given-names></name> <name><surname>Hamric</surname> <given-names>A. B.</given-names></name> <name><surname>Epstein</surname> <given-names>E. G.</given-names></name> <name><surname>Fisher</surname> <given-names>J. M.</given-names></name></person-group> (<year>2015</year>). <article-title>Moral distress among healthcare professionals: Report of an institution-wide survey.</article-title> <source><italic>J. Nurs. Scholarship</italic></source> <volume>47</volume> <fpage>117</fpage>&#x2013;<lpage>125</lpage>. <pub-id pub-id-type="doi">10.1111/jnu.12115</pub-id> <pub-id pub-id-type="pmid">25440758</pub-id></citation></ref>
<ref id="B77"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wilson</surname> <given-names>M. A.</given-names></name> <name><surname>Goettemoeller</surname> <given-names>D. M.</given-names></name> <name><surname>Bevan</surname> <given-names>N. A.</given-names></name> <name><surname>McCord</surname> <given-names>J. M.</given-names></name></person-group> (<year>2013</year>). <article-title>Moral distress: Levels, coping and preferred interventions in critical care and transitional care nurses.</article-title> <source><italic>J. Clin. Nurs.</italic></source> <volume>22</volume> <fpage>1455</fpage>&#x2013;<lpage>1466</lpage>. <pub-id pub-id-type="doi">10.1111/jocn.12128</pub-id> <pub-id pub-id-type="pmid">23473022</pub-id></citation></ref>
<ref id="B78"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wocial</surname> <given-names>L. D.</given-names></name> <name><surname>Weaver</surname> <given-names>M. T.</given-names></name></person-group> (<year>2013</year>). <article-title>Development and psychometric testing of a new tool for detecting moral distress: the moral distress thermometer.</article-title> <source><italic>J. Adv. Nurs.</italic></source> <volume>69</volume> <fpage>167</fpage>&#x2013;<lpage>174</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-2648.2012.06036.x</pub-id> <pub-id pub-id-type="pmid">22607094</pub-id></citation></ref>
<ref id="B79"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yeh</surname> <given-names>M. Y.</given-names></name> <name><surname>Wu</surname> <given-names>S. M.</given-names></name> <name><surname>Che</surname> <given-names>H. L.</given-names></name></person-group> (<year>2010</year>). <article-title>Cultural and hierarchical influences: Ethical issues faced by Taiwanese nursing students.</article-title> <source><italic>Med. Educ.</italic></source> <volume>44</volume> <fpage>475</fpage>&#x2013;<lpage>484</lpage>. <pub-id pub-id-type="doi">10.1111/j.1365-2923.2009.03589.x</pub-id> <pub-id pub-id-type="pmid">20345695</pub-id></citation></ref>
<ref id="B80"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zolnierek</surname> <given-names>K. B.</given-names></name> <name><surname>DiMatteo</surname> <given-names>M. R.</given-names></name></person-group> (<year>2009</year>). <article-title>Physician communication and patient adherence to treatment: A meta-analysis.</article-title> <source><italic>Med. Care</italic></source> <volume>47</volume> <fpage>826</fpage>&#x2013;<lpage>834</lpage>. <pub-id pub-id-type="doi">10.1097/MLR.0b013e31819a5acc</pub-id> <pub-id pub-id-type="pmid">19584762</pub-id></citation></ref>
</ref-list>
</back>
</article>