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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1104438</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Influencing factors of participation in and satisfaction with elderly health checkups: a cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Ying-Jen</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/1593149/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Chiou-Fen</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Feng</surname> <given-names>Jie</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chiu</surname> <given-names>Huei-Ling</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2107360/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Division of Geriatrics and General Internal Medicine, Department of Internal Medicine, Chang Gung Memorial Hospital</institution>, <addr-line>Taoyuan</addr-line>, <country>Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Medicine, College of Medicine, Chang Gung University</institution>, <addr-line>Taoyuan</addr-line>, <country>Taiwan</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Global Public Health, Karolinska Institutet</institution>, <addr-line>Stockholm</addr-line>, <country>Sweden</country></aff>
<aff id="aff5"><sup>5</sup><institution>International Ph.D. Program in Gerontology and Long-Term Care, College of Nursing, Taipei Medical University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Hiroki Sugimori, Daito Bunka University, Japan</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Nina Musurlieva, Plovdiv Medical University, Bulgaria; Shengli An, Southern Medical University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Huei-Ling Chiu <email>reiko&#x00040;tmu.edu.tw</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Aging and Public Health, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1104438</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Chen, Lin, Feng and Chiu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chen, Lin, Feng and Chiu</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>Background</title>
<p>Attending health checkups as a primary prevention strategy benefits older adults in facilitating the identification of health issues and risk factors for disease. Little is known about factors influencing participation in and satisfaction with a free annual elderly health checkup program (EHCP) in Taiwan. This study aimed to extend current knowledge related to the uptake of this service and individuals&#x00027; views of the service.</p></sec>
<sec>
<title>Methods</title>
<p>This was a cross-sectional study using a telephone interview survey method to compare influencing factors and satisfaction between participants and non-participants of an EHCP. The individuals involved were older adults in Taipei, Taiwan. The random sampling method included 1,100 people, 550 older adults who had participated in the EHCP within the last 3 years, and 550 older adults who had not. A questionnaire containing personal characteristics and satisfaction with the EHCP was used. Independent <italic>t</italic>-test and Pearson&#x00027;s Chi-squared test were used to evaluate differences between the two groups. Associations between individual characteristics and health checkup attendance were estimated using log-binomial models.</p></sec>
<sec>
<title>Results</title>
<p>Results showed that 51.64% of participants reported being satisfied with the checkups; however, only 41.09% of non-participants were satisfied. In the association analysis, age, educational level, chronic diseases, and subjective satisfaction were related to older persons&#x00027; participation. Furthermore, having a stroke was associated with a higher attendance rate [prevalence ratio: 1.49; 95% confidence interval: (1.13, 1.96)].</p></sec>
<sec>
<title>Conclusions</title>
<p>The EHCP had a high proportion of satisfaction among participants, but the proportion was low among non-participants. Several factors were associated with participation and might lead to unequal healthcare service uptake. Health checkups need to increase among people at a young age, those with low educational backgrounds, and those without chronic diseases.</p></sec></abstract>
<kwd-group>
<kwd>preventive health service</kwd>
<kwd>sociodemographic</kwd>
<kwd>chronic disease</kwd>
<kwd>subjective satisfaction</kwd>
<kwd>participation rate</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="8"/>
<word-count count="5367"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>Population aging in Taiwan is already occurring. Taiwan became an &#x0201C;aged society&#x0201D; in 2018, with more than 14% of the population &#x02265;65 years old (<xref ref-type="bibr" rid="B1">1</xref>). The aged population is rapidly increasing and is expected to reach 20% or higher by 2025, which could make Taiwan become a &#x0201C;super-aged society&#x0201D; (<xref ref-type="bibr" rid="B1">1</xref>). As a result of changing demographics, chronic diseases are becoming more widespread. Over 85% of older adults in Taiwan suffer from at least one chronic condition (<xref ref-type="bibr" rid="B2">2</xref>). Chronic diseases such as cancer, heart disease, hypertension, diabetes, and cerebrovascular disease are already leading causes of death in Taiwan (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Health checkups help identify health issues and risk factors for disease or provide reassurance to people without a specific medical indication (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). They may help address persistent health inequalities, expanding numbers of people living with long-term diseases, and the growing needs of an aging population (<xref ref-type="bibr" rid="B6">6</xref>). Routine health checkups are essential for reducing healthcare costs related to chronic diseases (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). It is necessary to identify risk factors for conditions such as heart disease, diabetes, and stroke (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). People with routine health checkups are more likely to get an early diagnosis if they develop a medical condition, leading to better outcomes and longer lifespans (<xref ref-type="bibr" rid="B9">9</xref>). Health checkups may also be referred to as medical screening, preventive or pre-symptomatic tests, or preventative examinations (<xref ref-type="bibr" rid="B10">10</xref>). They may be a cost-effective way of addressing the causes of illnesses before they develop into severe long-term conditions (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Despite the potential necessity and benefits of such health checkups, it is well-recognized that their uptake is largely sub-optimal. The Taipei City government has provided annual elderly health checkups (EHCP) at no cost for all seniors in Taipei since 2014. The EHCP cover physical assessments, depression screening, cognitive function assessments, a routine urine assay, a routine blood assay, biochemical assays (for albumin, globulin, uric acid, and blood urea nitrogen), a fecal occult blood test, and a fecal immunochemical test. Between 37,000 and 46,000 services are provided yearly (<xref ref-type="bibr" rid="B11">11</xref>). However, only a small group of people (fewer than 10% of older adults) participate in health checkups every year, and several provided services are not fully utilized (<xref ref-type="bibr" rid="B11">11</xref>). Differential uptake may make health inequities worse (<xref ref-type="bibr" rid="B12">12</xref>). Consequently, knowledge of the factors influencing health checkup attendance is fundamental if current services can be adequately changed to mitigate such inequities.</p>
<p>A few national and international studies have investigated factors influencing the decision to get a health checkup. Previous research revealed that sociodemographic characteristics, lifestyle factors, and a person&#x00027;s medical history were significant factors influencing the decision to get a checkup (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Another factor is an individual&#x00027;s health beliefs, based on values ascribed to health and a belief in the efficacy of health checkups (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B15">15</xref>). However, little is known about factors that influence attendance of annual government-provided free health checkups. As a unique context, associations could differ. Furthermore, to target deficiencies in the EHCP, an investigation targeting population satisfaction is necessary.</p>
<p>This study aimed to extend current knowledge relating to the uptake of EHCP services and individuals&#x00027; views of this service and thus contribute to improving healthcare service delivery and the further development of government policies. In particular, our study sought to address two questions:</p>
<list list-type="order">
<list-item><p>What are the factors influencing attendance of EHCPs among senior citizens in Taiwan?</p></list-item>
<list-item><p>To what extent do EHCPs satisfy seniors in Taiwan?</p></list-item>
</list></sec>
<sec id="s2">
<title>2. Materials and methods</title>
<sec>
<title>2.1. Study design, setting, and participants</title>
<p>This comparative cross-sectional study used a telephone interview survey method in Taipei, Taiwan to compare factors influencing whether to participate in an EHCP and satisfaction with the program. The total population of Taipei City was 2,645,041 in December 2019, of which 477,944 (18%) persons were &#x02265;65 years. The EHCP especially targets Taipei City residents aged &#x02265;65 years and indigenous people living anywhere in Taipei who are aged &#x02265;55 years. In this study, data on participants who were eligible to participate in the EHCP (Taipei City residents aged &#x02265;65 years and indigenous people living anywhere in Taipei who are aged &#x02265;55 years) were retrieved from a registry of senior citizens at the Department of Health, Taipei City government. A random sampling method included 1,100 people, 550 older adults who had participated in an EHCP within the last 3 years and 550 older adults who had not. For each group, an interview list (including 2,000 people) was generated from a table of random numbers by a computer. We conducted telephone interviews according to the lists until 550 older adults in each group had been interviewed. The sample size was calculated based on the recommendations of Streiner et al., who suggested a sample of 5&#x02013;20 participants for each questionnaire item (<xref ref-type="bibr" rid="B16">16</xref>). For this study, it was decided to include a minimum of 20 participants per question, resulting in a sample size of at least 160 participants; as for the suggestion by Comrey and Lee, the sample size of 500 means &#x0201C;very good&#x0201D; (<xref ref-type="bibr" rid="B17">17</xref>).</p></sec>
<sec>
<title>2.2. Measures</title>
<p>The questionnaire administered in the present study (Questionnaire on Publicity for Elderly Health Checkups) contains influencing factors and satisfaction regarding publicity and implementation of the EHCP. It was a self-developed questionnaire, developed by a focus group discussion of six medical professionals, revised according to suggestions from another six professionals, pilot-tested, and tested for reliability and validity. It had good validity (with a content validity index of 0.988) and reliability (Cronbach&#x00027;s &#x003B1; of 0.730).</p>
<p>The questionnaire consisted of two parts: (1) personal characteristics and (2) satisfaction with the EHCP. Personal characteristics were sociodemographic data and medical information, including age, sex, educational level, and health condition. As for citizens&#x00027; satisfaction with the EHCP, the survey included eight parts: (1) publicity methods; (2) overall appointment methods; (3) appointment by telephone; (4) appointment online; (5) appointment on site; (6) health checkup items; (7) number of services provided; and (8) follow-up services. Participants were asked, &#x0201C;To what extent are you satisfied with &#x02026;?&#x0201D;. For example, to what extent are you satisfied with the publicity methods of the EHCP. Satisfaction was measured by a Likert Scale, scored from 1 (very unsatisfied) to 5 (very satisfied).</p>
<p>Interviewers were students from Taipei Medical University with medical or healthcare backgrounds. In total, 11 interviewers were selected and were well-trained before the interview. All interviewers participated in a training workshop and had undergone rehearsals with the researchers. The research team also prepared an interview draft form to ensure consistency among interviewers.</p>
<p>Approval from Taipei Medical University Joint Institutional Review Board (no. N201907066) was granted. Potential participants were verbally informed of the study&#x00027;s aim and process. Telephone interviews began after receiving participants&#x00027; verbal consent. In addition, all participants were informed of their right to refuse to answer the questions and end the interview at any time.</p></sec>
<sec>
<title>2.3. Statistical analysis</title>
<p>We used STATA statistical software version 16.1 (StataCorp, College Station, TX, USA) for all statistical analyses and compared demographic data and health conditions (whether participants had chronic diseases or multimorbidity) between the two groups of participants. Study data were examined for outliers, normality, and missing data. The basic information of participants was summarized using descriptive statistics. Continuous variables were transformed or categorized when necessary. Categorical variables were reported as numbers and proportions for each category. The overall satisfaction score for each person was calculated as the average score of the Likert Scale. An independent <italic>t</italic>-test was used to test for the difference of overall satisfaction score between two study groups. Pearson&#x00027;s Chi-squared test or Fisher&#x00027;s exact tests (whether appropriate) were used to explore the differences in individual characteristics between the two groups. Associations between individual characteristics and EHCP participation were estimated with log-binomial models. If the binomial models failed to converge, Poisson regression models with a robust error variance were used instead. All reported <italic>p</italic>-values were two-sided. Statistical significance was defined as <italic>p</italic>&#x0003C;0.05.</p></sec></sec>
<sec id="s3">
<title>3. Results</title>
<sec>
<title>3.1. Sociodemographic characteristics of participants</title>
<p>In total, 1,100 individuals were involved in this study. More than half (58.5%) of participants were female, and most were retired (89.27%). Participants were predominantly aged 66&#x02013;75 (55.09%) or 75&#x02013;85 years (33.82%). Other demographic and socioeconomic characteristics are presented in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Sociodemographic characteristics of individuals.</p></caption> 
<table frame="box" rules="all">
<thead><tr style="background-color:#919497;color:#ffffff">
<th valign="top" align="left"><bold>Sociodemographic characteristic</bold></th>
<th valign="top" align="center"><bold>Frequency (<italic>N</italic> = 1,100)</bold></th>
<th valign="top" align="center"><bold>Percentage (%)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="3"><bold>Sex</bold></td>
</tr> <tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">449</td>
<td valign="top" align="center">40.80%</td>
</tr> <tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">643</td>
<td valign="top" align="center">58.50%</td>
</tr> <tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.70%</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="3"><bold>Age (years)</bold></td>
</tr> <tr>
<td valign="top" align="left">55&#x02013;65</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">4.73%</td>
</tr> <tr>
<td valign="top" align="left">66&#x02013;75</td>
<td valign="top" align="center">606</td>
<td valign="top" align="center">55.09%</td>
</tr> <tr>
<td valign="top" align="left">75&#x02013;85</td>
<td valign="top" align="center">372</td>
<td valign="top" align="center">33.82%</td>
</tr> <tr>
<td valign="top" align="left">&#x0003E;85</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">5.91%</td>
</tr> <tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.45%</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="3"><bold>Educational level</bold></td>
</tr> <tr>
<td valign="top" align="left">Low</td>
<td valign="top" align="center">222</td>
<td valign="top" align="center">20.18%</td>
</tr> <tr>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">685</td>
<td valign="top" align="center">62.27%</td>
</tr> <tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">16.55%</td>
</tr> <tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">1.00%</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="3"><bold>Marital status</bold></td>
</tr> <tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">968</td>
<td valign="top" align="center">88.00%</td>
</tr> <tr>
<td valign="top" align="left">Unmarried</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">6.91%</td>
</tr> <tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">5.09%</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="3"><bold>Occupation (current)</bold></td>
</tr> <tr>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">982</td>
<td valign="top" align="center">89.27%</td>
</tr> <tr>
<td valign="top" align="left">Still working</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">10.00%</td>
</tr> <tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.73%</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Educational level: Low (Illiterate or elementary school educated); Middle (Junior or Senior high school educated); High (University and above).</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>3.2. Satisfaction with the EHCP</title>
<p>As for citizens&#x00027; satisfaction with the EHCP, the survey included eight parts: (1) publicity methods; (2) overall appointment methods; (3) appointment by telephone; (4) appointment online; (5) appointment on-site; (6) health checkup items; (7) number of services provided; and (8) follow-up services. In total, 777 participants completely answered this part, and details are given in <xref ref-type="table" rid="T2">Table 2</xref>. Compared to participants of the EHCP, more non-participants were dissatisfied with the publicity methods, health checkup items, number of services provided, and health checkup process. We also calculated the overall satisfaction score and found that those who had used the EHCP in the past 3 years had a statistically significantly higher level of satisfaction (Mean = 3.58, SD = 0.03) than those who had not (Mean = 3.40, SD = 0.03, <italic>t</italic> = 4.6554, df = 777, <italic>p</italic> &#x0003C; 0.001). We considered being satisfied with the ECHP as having an overall score of more than 3 and being dissatisfied as having a score of &#x0003C;3. Additionally, 284 participants (51.64% of total 550) who had used the EHCP in the past 3 years reported being satisfied; however, among those who had not used the EHCP in the past 3 years, only 226 participants (41.09% of total 550) were satisfied.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Individuals&#x00027; satisfaction with the elderly health checkup program (EHCP).</p></caption> 
<table frame="box" rules="all">
<thead><tr style="background-color:#919497;color:#ffffff">
<th valign="top" align="left" rowspan="2"><bold>Items</bold></th>
<th valign="top" align="center" colspan="2"><bold>Very dissatisfied</bold></th>
<th valign="top" align="center" colspan="2"><bold>Dissatisfied</bold></th>
<th valign="top" align="center" colspan="2"><bold>Neutral</bold></th>
<th valign="top" align="center" colspan="2"><bold>Satisfied</bold></th>
<th valign="top" align="center" colspan="2"><bold>Ver	y satisfied</bold></th>
<th valign="top" align="center" rowspan="2"><bold>Median (IQR)</bold></th>
</tr>
 <tr style="background-color:#919497;color:#ffffff">
<td valign="top" align="center"><italic><bold>n</bold></italic></td>
<td valign="top" align="center"><bold>%</bold></td>
<td valign="top" align="center"><italic><bold>n</bold></italic></td>
<td valign="top" align="center"><bold>%</bold></td>
<td valign="top" align="center"><italic><bold>n</bold></italic></td>
<td valign="top" align="center"><bold>%</bold></td>
<td valign="top" align="center"><italic><bold>n</bold></italic></td>
<td valign="top" align="center"><bold>%</bold></td>
<td valign="top" align="center"><italic><bold>n</bold></italic></td>
<td valign="top" align="center"><bold>%</bold></td>
</tr> 
</thead>
<tbody>
<tr>
<td/>
<td valign="top" align="center">Group 1 <italic>N</italic> = 387</td>
</tr> <tr>
<td valign="top" align="left">Publicity methods</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2.58%</td>
<td valign="top" align="center">169</td>
<td valign="top" align="center">43.67%</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">41.34%</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">12.40%</td>
<td valign="top" align="center">4 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Overall appointment methods</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.26%</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2.84%</td>
<td valign="top" align="center">179</td>
<td valign="top" align="center">46.25%</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">40.05%</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">10.59%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Appointment by telephone</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2.58%</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">49.35%</td>
<td valign="top" align="center">138</td>
<td valign="top" align="center">35.66%</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">12.40%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Appointment online</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.52%</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">7.75%</td>
<td valign="top" align="center">216</td>
<td valign="top" align="center">55.81%</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">25.84%</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">10.08%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Appointment on-site</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.52%</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">4.39%</td>
<td valign="top" align="center">205</td>
<td valign="top" align="center">52.97%</td>
<td valign="top" align="center">105</td>
<td valign="top" align="center">27.13%</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">14.99%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Health checkup items</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">4.39%</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">36.18%</td>
<td valign="top" align="center">164</td>
<td valign="top" align="center">42.38%</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">17.05%</td>
<td valign="top" align="center">4 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Number of services provided</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.26%</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">11.11%</td>
<td valign="top" align="center">151</td>
<td valign="top" align="center">39.02%</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">34.37%</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">15.25%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Health checkup process</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.29%</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">41.09%</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">39.79%</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">17.83%</td>
<td valign="top" align="center">4 (3&#x02013;4)</td>
</tr> <tr>
<td/>
<td valign="top" align="center">Group 2 <italic>N</italic> = 392</td>
</tr> <tr>
<td valign="top" align="left">Publicity methods</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.51%</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">7.40%</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">48.72%</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">35.71%</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">7.65%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Overall appointment methods</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2.30%</td>
<td valign="top" align="center">222</td>
<td valign="top" align="center">56.63%</td>
<td valign="top" align="center">135</td>
<td valign="top" align="center">34.44%</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">6.63%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Appointment by telephone</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.79%</td>
<td valign="top" align="center">254</td>
<td valign="top" align="center">64.80%</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">24.74%</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">8.67%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Appointment online</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.77%</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">7.14%</td>
<td valign="top" align="center">283</td>
<td valign="top" align="center">72.19%</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">14.03%</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">5.87%</td>
<td valign="top" align="center">3 (3&#x02013;3)</td>
</tr> <tr>
<td valign="top" align="left">Appointment on-site</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.51%</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">3.57%</td>
<td valign="top" align="center">245</td>
<td valign="top" align="center">62.50%</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">27.55%</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">5.87%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Health checkup items</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">5.87%</td>
<td valign="top" align="center">193</td>
<td valign="top" align="center">49.23%</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">35.46%</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">9.44%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Number of services provided</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.77%</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">11.48%</td>
<td valign="top" align="center">208</td>
<td valign="top" align="center">53.06%</td>
<td valign="top" align="center">94</td>
<td valign="top" align="center">23.98%</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">10.71%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr> <tr>
<td valign="top" align="left">Health checkup process</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2.30%</td>
<td valign="top" align="center">203</td>
<td valign="top" align="center">51.79%</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">32.14%</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">13.78%</td>
<td valign="top" align="center">3 (3&#x02013;4)</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>IQR, interquartile range.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>3.3. Factors influencing participation in the EHCP</title>
<p>Among the 1,100 participants, 550 had experienced the EHCP in the past 3 years, and the others had not. Results of the bivariate analysis (<xref ref-type="table" rid="T3">Table 3</xref>) indicated significant differences in some variables between participants and non-participants of the EHCP. Participants tended to be aged 76&#x02013;85 years, have a low educational level, have more than two chronic diseases, have diabetes or stroke, and be satisfied with the EHCP. No significant differences were reported in sex, marital status, hypertension, heart disease, or hyperlipidemia between participants and non-participants of the EHCP.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Bivariate correlates of participation in the elderly health checkup program (EHCP) among the elderly.</p></caption> 
<table frame="box" rules="all">
<thead><tr style="background-color:#919497;color:#ffffff">
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center" colspan="2"><bold>Group 1: participated (</bold><italic><bold>N</bold></italic> = <bold>550)</bold></th>
<th valign="top" align="center" colspan="2"><bold>Group 2: did not participate (</bold><italic><bold>N</bold></italic> = <bold>550)</bold></th>
<th valign="top" align="center"><bold>&#x003C7;<sup>2</sup></bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr style="background-color:#919497;color:#ffffff">
<td/>
<td valign="top" align="center"><italic><bold>n</bold></italic></td>
<td valign="top" align="center"><bold>%</bold></td>
<td valign="top" align="center"><italic><bold>n</bold></italic></td>
<td valign="top" align="center"><bold>%</bold></td>
<td/>
<td/>
</tr> 
</thead>
<tbody>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="7"><bold>Age (years)</bold></td>
</tr> <tr>
<td valign="top" align="left">55&#x02013;65</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">2.73%</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">6.73%</td>
<td valign="top" align="center">13.74</td>
<td valign="top" align="center">0.003</td>
</tr> <tr>
<td valign="top" align="left">66&#x02013;75</td>
<td valign="top" align="center">295</td>
<td valign="top" align="center">53.64%</td>
<td valign="top" align="center">311</td>
<td valign="top" align="center">56.55%</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">76&#x02013;85</td>
<td valign="top" align="center">205</td>
<td valign="top" align="center">37.27%</td>
<td valign="top" align="center">167</td>
<td valign="top" align="center">30.36%</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">&#x0003E;85</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">5.64%</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">6.18%</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Missing data <italic>n</italic> = 5</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="7"><bold>Educational level</bold></td>
</tr> <tr>
<td valign="top" align="left">Low</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">24.00%</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">16.36%</td>
<td valign="top" align="center">10.92</td>
<td valign="top" align="center">0.004</td>
</tr> <tr>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">331</td>
<td valign="top" align="center">60.18%</td>
<td valign="top" align="center">354</td>
<td valign="top" align="center">64.36%</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">14.73%</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">18.36%</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Missing data <italic>n</italic> = 11</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="7"><bold>Number of chronic diseases</bold></td>
</tr> <tr>
<td valign="top" align="left"> &#x02264; 2</td>
<td valign="top" align="center">472</td>
<td valign="top" align="center">85.82%</td>
<td valign="top" align="center">500</td>
<td valign="top" align="center">90.91%</td>
<td valign="top" align="center">6.93</td>
<td valign="top" align="center">0.008</td>
</tr> <tr>
<td valign="top" align="left">More than two</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">14.18%</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">9.09%</td>
<td/>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="7"><bold>Diabetes</bold></td>
</tr> <tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">147</td>
<td valign="top" align="center">26.73%</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">21.09%</td>
<td valign="top" align="center">4.80</td>
<td valign="top" align="center">0.028</td>
</tr> <tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">403</td>
<td valign="top" align="center">73.27%</td>
<td valign="top" align="center">434</td>
<td valign="top" align="center">78.91%</td>
<td/>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="7"><bold>Stroke (ever)</bold></td>
</tr> <tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">2.55%</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.91%</td>
<td valign="top" align="center">4.34</td>
<td valign="top" align="center">0.037</td>
</tr> <tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">536</td>
<td valign="top" align="center">97.45%</td>
<td valign="top" align="center">545</td>
<td valign="top" align="center">99.09%</td>
<td/>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="7"><bold>Satisfied</bold></td>
</tr> <tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">284</td>
<td valign="top" align="center">51.64%</td>
<td valign="top" align="center">226</td>
<td valign="top" align="center">41.09%</td>
<td valign="top" align="center">14.73</td>
<td valign="top" align="center">0.001</td>
</tr> <tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">3.82%</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">9.10%</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Neutral</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">14.91%</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">21.09%</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Missing data <italic>n</italic> = 320</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup>Only significant correlates are presented.</p>
</table-wrap-foot>
</table-wrap>
<p>Associations between personal characteristics and EHCP participation were investigated using log-binomial models. Six factors were identified to be related to participation (<xref ref-type="table" rid="T4">Table 4</xref>). Individuals aged 55&#x02013;65 years (they were indigenous people) were less likely than those aged 66&#x02013;75 years to have participated the EHCP [Prevalence ratio (PR) with 95% confidence interval (95% CI): 0.59 (0.38, 0.92)]. Individuals aged 76&#x02013;85 years, on the other hand, were more likely to have participated the EHCP [PR (95% CI): 1.13 (1.00, 1.28)]. Seniors with a low educational level were more likely than seniors with a middle educational level to have participated the EHCP [PR (95% CI): 1.23 (1.07, 1.40)]. Individuals who were neutral or dissatisfied with the program were less likely to have participated in the EHCP [PR (95% CI): 0.74 (0.62, 0.89) and 0.75 (0.58, 0.97), respectively]. Individuals with more than two chronic conditions were also more likely to have participated the EHCP than those who did not have those conditions [PR (95% CI): 1.25 (1.08, 1.46)]. We also looked at the relationship between having a specific chronic disease and participating the EHCP. Patients who had had a stroke or had diabetes were more likely to have participated than those who did not [PR (95% CI): 1.49 (1.13, 1.96) and 1.16 (1.02, 1.32), respectively].</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Results of log-binomial models examing factors associated with participation in the EHCP among the elderly.</p></caption> 
<table frame="box" rules="all">
<thead><tr style="background-color:#919497;color:#ffffff">
<th valign="top" align="left" rowspan="2"><bold>Variables</bold></th>
<th valign="top" align="center" rowspan="2"><bold>Reference category</bold></th>
<th valign="top" align="center" rowspan="2"><bold>PR</bold></th>
<th valign="top" align="center" colspan="2"><bold>95% CI</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr style="background-color:#919497;color:#ffffff">
<td valign="top" align="center"><bold>Lower</bold></td>
<td valign="top" align="center"><bold>Upper</bold></td>
</tr> 
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">66&#x02013;75</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">55&#x02013;65</td>
<td/>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.018</td>
</tr> <tr>
<td valign="top" align="left">76&#x02013;85</td>
<td/>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">0.048</td>
</tr> <tr>
<td valign="top" align="left">&#x0003E;85</td>
<td/>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">0.881</td>
</tr> <tr>
<td valign="top" align="left">Educational levels</td>
<td valign="top" align="left">Middle</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Low</td>
<td/>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">1.40</td>
<td valign="top" align="center">0.002</td>
</tr> <tr>
<td valign="top" align="left">High</td>
<td/>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">0.370</td>
</tr> <tr>
<td valign="top" align="left">Satisfied</td>
<td valign="top" align="left">Yes</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">No</td>
<td/>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.031</td>
</tr> <tr>
<td valign="top" align="left">Neutral</td>
<td/>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.001</td>
</tr> <tr>
<td valign="top" align="left">Number of chronic diseases</td>
<td valign="top" align="left"> &#x02264;2</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">More than two</td>
<td/>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">1.46</td>
<td valign="top" align="center">0.004</td>
</tr> <tr>
<td valign="top" align="left">Stroke (ever)</td>
<td valign="top" align="left">No</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Yes</td>
<td/>
<td valign="top" align="center">1.49</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">0.005</td>
</tr> <tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="left">No</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Yes</td>
<td/>
<td valign="top" align="center">1.16</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">0.023</td>
</tr></tbody>
</table>
</table-wrap></sec></sec>
<sec id="s4">
<title>4. Discussion</title>
<p>This study investigated the EHCP in Taiwan in terms of satisfaction and determinants of participation. We found that the participants of the EHCP were more satisfied with it, and non-participants were mainly dissatisfied with the publicity methods, health checkup items, number of services provided, and the health checkup process. Additionally, satisfaction was found to be positively associated with healthcare service utilization, as a prior study also showed (<xref ref-type="bibr" rid="B18">18</xref>). As for satisfaction, there are still some aspects that could be improved. The primary publicity method is sending ads to eligible citizens by mail, which is a traditional way. It takes time to arrive, and the ad in the mailbox can easily be ignored. However, this method works well for targeting seniors, since they are comfortable engaging through this channel and still use it regularly. Other methods, such as making a phone call or advertising on the Internet, could also be effective because of the increasing smartphone use among seniors in Taiwan (<xref ref-type="bibr" rid="B19">19</xref>). As for health checkup items and processes, a former study suggested that a belief that screening procedures were too complicated to understand was one of the factors that reduced the willingness to participate in health screening in Taiwan (<xref ref-type="bibr" rid="B7">7</xref>). Additionally, bad experiences (e.g., a long waiting time) during a previous health checkup negatively influence attendance (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Every year, the city government offers a limited number of free health checkups for all senior residents and gives priority to more disadvantaged people, including residents who (1) are living alone; (2) live in low-income households or middle-low-income households; (3) have physical or mental disabilities, and (4) are indigenous residents. Other citizens can only competitively book a spot in the second round, which might be the reason that non-participants were dissatisfied with the number of services provided. To improve access to free health services, further study is needed to estimate the number of older adults who need annual health checkups to prevent diseases and provide suggestions to providers to make this free service more accessible.</p>
<p>The absence of sex or marital status differences in participation in the EHCP is interesting. This result differed from previous studies which examined factors predicting the use of other preventive or medical services. Females tend to use preventive and diagnostic services more frequently (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), and the use of health services varies according to one&#x00027;s life stage, with women using the healthcare system more frequently during their childbearing years (<xref ref-type="bibr" rid="B23">23</xref>). One methodological reason for this phenomenon could be different definitions of preventative health checkups, including gynecological cancer examinations such as mammography and cervical cancer screening, which are otherwise excluded. Another reason men and women use preventative healthcare services equally today could be that gender-specific initiatives have transformed the general approach to illness and health (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Other studies indicated that marriage promotes screening attendance, and both a single and divorce status were considered factors that increased barriers to screening (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). One potential explanation for the absence of an impact of the marital status could be that there is an interaction between marital status and sex, but no sex difference was found.</p>
<p>Results of a higher likelihood of EHCP participation by older adults with more than two chronic diseases compared to those without any are consistent with previous findings, as individuals suffering from at least one chronic disease or disorder engaged more in prevention than people without such complaints (<xref ref-type="bibr" rid="B24">24</xref>). Additionally, we found that individuals with diabetes or who had had a stroke had a higher probability of participation than those without, which is also in line with previous findings that individuals with diabetes were more likely to attend health checkups (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Possible explanations might be that (1) chronically diseased individuals who are regularly in contact with health professionals under permanent medical supervision may be easily informed about the EHCP; (2) susceptibility to potential health conditions or comorbidities might increase the likelihood of attending a free preventive health checkup, which is reasonable in the context of primary prevention; and alternatively, (3) annual or more frequent checkups are necessary for persons with a chronic disease, as research indicates that preventative care decreases the prevalence and progression of such conditions (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Other potential influencing factors identified in this study were educational level and age. Indigenous residents in Taiwan have a lower life expectancy and suffer more from alcoholism and other poor health outcomes than the general population (<xref ref-type="bibr" rid="B30">30</xref>). Despite having priority in participation of the EHCP, compared to individuals aged 66&#x02013;75 years, they were less likely to attend health checkups. Our finding also indicates that there might still be a disparity in participation in the EHCP between indigenous residents and the general population. Age affects participation in health screening, with older seniors having relatively high participation rates, consistent with earlier research (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). However, participation decreased with a higher education level, as another study suggested (<xref ref-type="bibr" rid="B31">31</xref>). This might be because highly educated people are more health-conscious and demand higher quality and quantity of health screening.</p>
<p>This is the first study to examine both participants&#x00027; and non-participants&#x00027; satisfaction with the EHCP in Taipei and estimate associations between personal characteristics and participation. Strengths of the present study include the large sample size and the comparative study design, which allowed distinct comparisons. In this study, the measurement (questionnaire for a telephone interview) was tested for reliability and validity, increasing the likelihood of data consistency. Because of the large number and random selection of interview participants, a high external validity of the results for Taiwan can be assumed.</p>
<p>One major methodological limitation of this study is the fact that the study was cross-sectional and lacked causal inferences for the associations we found. In addition, we defined non-participants as those who had participated in the EHCP within the last 3 years, including those who once participated in EHCP but withdrew for some reason and those who had never participated. Therefore, it ignored the differences between these two groups of people. However, this study mainly focuses on the differences between participants and non-participants of the EHCP. A deeper study was needed to further investigate the different opinions of the EHCP among different non-participants Additionally, personal characteristics were self-reported rather than taken from recorded data in the national healthcare system. No validation was carried out using a patient&#x00027;s medical charts. The questionnaire pre-set the personal characteristics and the influencing factors investigated were limited. In the analysis, the estimated associations were not adjusted for potential confounders, unlike other studies investigating predictors. An analytical study design rather than a descriptive study could further estimate associations between personal characteristics and health checkup participation.</p></sec>
<sec id="s5">
<title>5. Conclusions</title>
<p>From the present results, it can be concluded that the EHCP had a high proportion of satisfaction among participants, but the proportion was relatively low among non-participants. It is suggested that publicity methods, health checkup items, the number of services provided, and the health checkup process could be further improved. The findings suggest that age, educational level, chronic diseases, and subjective satisfaction were related to older persons&#x00027; participation in Taipei&#x00027;s annual health checkup program. Preventive screening could benefit older adults by detecting diseases early and help them maintain their health. This study can help policymakers target non-participants or disadvantaged groups in the program and recommend measures to promote their uptake.</p></sec>
<sec sec-type="data-availability" id="s6">
<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 sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Taipei Medical University-Joint Institutional Review Board (N201907066). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p></sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>Y-JC, C-FL, and H-LC contributed to conception and design of the study. C-FL, JF, and H-LC organized the database. JF performed the statistical analysis. Y-JC and C-FL wrote the first draft of the manuscript. Y-JC, C-FL, JF, and H-LC wrote sections of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.</p></sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This research was supported by a grant from Taipei City Government (No. W108039).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;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>
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