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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.2025.1616534</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>Healthcare professionals&#x2019; knowledge, attitudes, and practices regarding China&#x2019;s National Centralized Drug Procurement policy: a cross-sectional study in Shaanxi Province</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shen</surname>
<given-names>Qian</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3041744/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kang</surname>
<given-names>Limin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ye</surname>
<given-names>Dan</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Youjia</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Kanghuai</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</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 Pharmacy, The Second Affiliated Hospital of Xi&#x2019;an Jiaotong University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Pharmacy, Xi&#x2019;an No.3 Hospital, The Affiliated Hospital of Northwest University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0002" fn-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2140790/overview">Lingli Qing</ext-link>, Guangzhou College of Commerce, China</p></fn>
<fn id="fn0003" fn-type="edited-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1201955/overview">Shiwei Gong</ext-link>, Huazhong University of Science and Technology, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3108712/overview">Tuan Mazlelaa Tuan Mahmood</ext-link>, Universiti Kebangsaan Malaysia Fakulti Farmasi, Malaysia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3112778/overview">Grissoum Tarnagda</ext-link>, Research Institute for Health Sciences (IRSS), Burkina Faso</p></fn>
<corresp id="c001">&#x002A;Correspondence: Kanghuai Zhang, <email>zhangkanghuai@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1616534</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Shen, Kang, Ye, Li and Zhang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Shen, Kang, Ye, Li and Zhang</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 id="sec1">
<title>Background</title>
<p>Since 2019, the Chinese government has been fully implementing the National Centralized Drug Procurement (NCDP) policy, with the core objective of reducing drug costs and alleviating the medical burden on patients. As the practitioners of this policy, healthcare professionals (HCPs) play a crucial role in its implementation. Therefore, it is necessary to evaluate their knowledge, attitudes, and practices (KAP) regarding the implementation of the (NCDP) policy and the factors influencing these aspects.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>We conducted a cross-sectional online survey on HCPs from public hospitals in Shaanxi Province from 2022 August to September. A structured self-administered questionnaire was used to collect data on demographics, knowledge of NCDP, attitude toward NCDP policy, and practice of policy implementation. KAP adequacy was dichotomized at the 70% cut-off (Knowledge: adequate vs. inadequate, Attitude: positive vs. negative; Practice: good vs. poor). All the variables were descriptively analyzed, and multivariate logistics regression analysis was used to explore the factors associated with KAP level.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 1,257 valid responses were received. Of these, 58.4% demonstrated adequate knowledge, 63.2% held positive attitudes, and 35.2% exhibited good practices. Significant occupational disparities emerged, with pharmacists outperforming physicians across all KAP domains (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). Multivariate logistic regression analysis showed that professional title, being a pharmacist, and attending the training were independently associated with adequate knowledge. Positive attitudes were significantly associated with 11&#x2013;20&#x202F;years of working experience, having a bachelor&#x2019;s degree, being a pharmacist, and attending training. Proactive practice was associated with longer working years, being a pharmacist, and training attendance. The main concerns of HCPs regarding the NCDP policy were guaranteeing medicine quality (93.2%), strengthening clinical outcomes research (80.0%), and strengthening monitoring of adverse reactions (79.6%).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Our study found that HCPs in Shaanxi Province possessed a moderate level of knowledge and generally positive attitudes toward the NCDP policy, yet demonstrate room for enhanced practice. Pharmacists play a pivotal role in policy implementation. To strengthen HCPs&#x2019; policy endorsement and ensure faithful implementation, targeted training on therapeutic effectiveness and safety evaluation is essential, as it can alleviate clinical concerns and bridge the gap from evidence to actionable competence. Future research should concentrate on generating high-quality clinical evidence, analyzing long-term policy impacts, identifying implementation barriers, and designing educational interventions to bolster HCPs&#x2019; knowledge and positive attitudes regarding the NCDP policy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>NCDP policy</kwd>
<kwd>KAP</kwd>
<kwd>healthcare professionals</kwd>
<kwd>centrally procured drugs</kwd>
<kwd>generic consistency evaluation</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="11"/>
<word-count count="7561"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Policy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5">
<label>1</label>
<title>Background</title>
<p>Global healthcare costs are rising rapidly. Notably, the WHO reported $9 trillion in spending in 2020, accounting for 11% of the world&#x2019;s GDP, and this trend is expected to continue (<xref ref-type="bibr" rid="ref1">1</xref>). Drug expenditure has always been a significant component of national and individual medical costs (<xref ref-type="bibr" rid="ref2">2</xref>). Moreover, drug expenditure accounts for 17% of total health spending in higher-income countries, while in lower-middle-income countries, the proportion can be as high as 70% (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). In response to the growing burden of healthcare costs, governments and health organizations worldwide have implemented various strategies to control healthcare costs, including measures to manage drug expenditure (<xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref7">7</xref>). Empirical studies also repeatedly highlight the significant effectiveness of bulk purchasing in reducing the costs of pharmaceuticals that are successfully incorporated into procurement contracts (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Many countries, such as India, Brazil, and Denmark, have successfully implemented centralized drug procurement strategies. As such, they achieve notable reductions in drug prices and significant savings in pharmaceutical costs (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). This global trend is evident in China, where pharmaceutical expenditure reached US$169&#x202F;billion in 2021. In response to the ongoing challenges of limited healthcare accessibility and medication adherence, China introduced the National Centralized Drug Procurement (NCDP) policy in January 2019. This aims to reduce the price of drugs further, alleviate the medication burden for patients, improve drug availability, and deepen public hospital reform.</p>
<p>The first round of the NCDP policy, also known as the &#x201C;4&#x202F;+&#x202F;7&#x201D; policy, was so named because 11 cities were selected as pilot cities, including 4 municipalities (Beijing, Tianjin, Shanghai, Chongqing) and 7 sub-provincial cities (Shenyang, Dalian, Xiamen, Guangzhou, Shenzhen, Chengdu, Xi&#x2019;an). This policy implements &#x201C;volume-based procurement,&#x201D; meaning that the tenderer (the government) specifies the procurement volume (60&#x2013;70% of the medicine consumption of all public medical institutions in pilot cities in the previous year) during the bidding. The bidders (pharmaceutical companies) then quote prices according to the specific volume. Furthermore, the pharmaceutical company with the lowest price for each medicine wins the bid. To ensure that domestically produced generic drugs are therapeutically equivalent to their corresponding brand-name versions in terms of quality, safety, and efficacy, the NCDP policy mandates that all centrally purchased generic drugs pass the Generic Consistency Evaluation (GCE), which requires rigorous bioequivalence testing and pharmaceutical quality standardization (<xref ref-type="bibr" rid="ref12">12</xref>). In order to be bioequivalent, National Medical Products Administration (NMPA) required that the 90%CI of the geometric mean ratio for main pharmacokinetic parameters, the peak concentration and the area under concentration time curve of the product fall entirely within the range of 80.00&#x2013;125.00% (<xref ref-type="bibr" rid="ref13">13</xref>). As of 2024, GCE implementation has enabled 10 rounds of centralized procurement, covering 435 drugs that met these equivalence standards (<xref ref-type="bibr" rid="ref14">14</xref>). Currently, these drugs cover multiple therapeutic areas, such as medications for chronic diseases like metformin (for diabetes) and amlodipine (for hypertension), antitumor drugs including gefitinib (targeted therapy) and oxaliplatin (a chemotherapeutic agent), and antibiotics like cefdinir and meropenem. The policy has demonstrably reshaped China&#x2019;s pharmaceutical landscape, yielding significant outcomes across multiple dimensions. Empirical evidence indicated: &#x2460; a substantial shift toward generic drugs, with their procurement volume share rising from 60.73 to 77.80%, displacing 17.08% of originator drugs (<xref ref-type="bibr" rid="ref13">13</xref>); &#x2461; improved clinical rational drug use, driven by volume guarantees, performance evaluations promoting quality generics (especially GCE-certified in primary care), and financial disincentives reducing high-cost drug overprescribing (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>); &#x2462; reduced patient drug burden, exemplified by a 20.75% decrease in inpatient drug expenditures for conditions like lung cancer (<xref ref-type="bibr" rid="ref15">15</xref>); and &#x2463; enhanced health insurance efficiency. As of the end of 2021, the policy has saved over 260 billion CNY (approximately US$36.3 billion) (<xref ref-type="bibr" rid="ref12">12</xref>). NCDP policy has significantly reduced healthcare costs and improved drug accessibility. However, its real-world effectiveness ultimately depends on the active participation and precise execution by frontline healthcare professionals (HCPs), including clinicians (physicians, pharmacists, nurses) directly handling medications and administrators responsible for policy operationalization. In this context, HCPs serve as policy implementers and dynamic interpreters. They are also the main executors of the policy, particularly physicians, who play a key role in generic drug use through their central position as decision-makers for pharmacotherapy (<xref ref-type="bibr" rid="ref16">16</xref>). The policy&#x2019;s guiding principles encourage physicians to prioritize centrally procured medicines, limiting their prescription options for non-centrally procured drugs and indirectly affecting patients&#x2019; medication adherence. As an integral part of the healthcare system, pharmacists are crucial in promoting the generic drug policy. They collaborate closely with physicians to provide professional advice on generic drug selection, dosage, interactions, and side effects. Additionally, they educate and counsel patients during medication dispensing, thereby enhancing physicians&#x2019; acceptance of centrally procured drugs (<xref ref-type="bibr" rid="ref17">17</xref>). To ensure the effective execution of the policy, relevant departments have introduced implementation opinions and measures to deepen the reform of centralized drug procurement and to establish a national public drug procurement market (<xref ref-type="bibr" rid="ref18">18</xref>). Therefore, understanding the perceptions and practices of healthcare professionals regarding the NCDP is crucial for optimizing drug usage and ensuring the success of the policy.</p>
<p>Knowledge, attitude, and practice (KAP) surveys serve as an effective instrument for exploring health behaviors and the ways people seek healthcare (<xref ref-type="bibr" rid="ref19">19</xref>). Previous studies (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref20">20</xref>) have evaluated the KAP of generic substitution in China among HCPs in different regions. Moreover, researches (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>) have shown that the prices of drugs selected in centralized procurement across China are inversely related to economic development. Economically advanced eastern regions, which enjoy more convenient transportation, denser populations, and higher medication demand, are typically more likely to be chosen by enterprises offering lower prices. In contrast, less economically developed areas with lower drug demand are more likely to be selected by higher-priced enterprises. Given that Shaanxi Province, located in northwest China, has a diverse economic profile with both developed and developing regions, assessing the KAP of HCPs in Shaanxi regarding the centralized drug procurement policy is essential.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study design and setting</title>
<p>A descriptive cross-sectional survey was conducted among HCPs in public health institutions from August 1st to September 1st, 2022, in Shaanxi Province, located in northwestern China, and ranks first in GDP (Gross Domestic Product) among the five northwest provinces of China. Additionally, it is the starting point of the Silk Road and an important center for culture and tourism (<xref ref-type="bibr" rid="ref23">23</xref>). Shaanxi consists of 11 cities and 69 counties, with a population of 39.52 million and an area of 205,800 square kilometers (<xref ref-type="bibr" rid="ref24">24</xref>). By the end of 2022, Shaanxi had 34,779 health institutions. Among them, there are 1,280 hospitals, including 443 public hospitals. The province had 289,600 hospital beds and 378,200 healthcare professionals, including physicians, nurses, pharmacists, laboratory officer, radiology officer and dentist. (<xref ref-type="bibr" rid="ref25">25</xref>).</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Sample size calculation</title>
<p>The sample size was calculated using <ext-link xlink:href="http://Calculator.net" ext-link-type="uri">Calculator.net</ext-link>.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> We ran a statistical power analysis for sample size calculation with a population percentage of 50%, a margin of error of 0.04, and a confidence level of 99%. The required sample size was 1,038. The theoretical sample size was calculated to be 1,298, including an additional 25% to account for potential subject loss.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Instrument</title>
<p>A structured self-administered questionnaire was used to collect the data. The investigators developed the questionnaire in the national language (Chinese) after conducting an extensive literature review (<xref ref-type="bibr" rid="ref26">26</xref>&#x2013;<xref ref-type="bibr" rid="ref28">28</xref>) and discussion with two experts: a senior pharmaceutical expert with 30&#x202F;years of hospital pharmacy experience (ensuring policy terminology accuracy) and a hospital procurement officer (verifying operational feasibility of workflow-related items). Following finalization of the preliminary questionnaire draft, two domain experts from a provincial tertiary teaching hospital conducted peer reviews to evaluate content validity and readability. The pharmacy administration expert (Prof. KHZ) proposed incorporating items addressing HCPs&#x2019; key concerns regarding NCDP implementation, while the chief physician (Dr. XQY) recommended augmenting the introductory section with a standardized definition of GCE.</p>
<p>Furthermore, the questionnaire was pilot-tested among 30 HCPs of our hospital (10 physicians, 12 pharmacists, and 8 nurses). The Cronbach&#x2019;s alpha was calculated as 0.81 (knowledge), 0.86 (attitude), and 0.82 (practice), respectively, indicating acceptable internal consistency. Notably, Kaiser-Meyer-Olkin and Bartlett&#x2019;s sphericity test revealed the KMO value was 0.878, showing good validity.</p>
<p>The questionnaire consisted of 33 items divided into four sections (see <xref rid="SM1" ref-type="supplementary-material">Supplementary Appendix</xref>): (1) demographic characteristics, for example gender, age, working years, professional title, education level, occupation, hospital category, and attending training(related to centralized procurement policies) or not; (2) knowledge of NCDP (7 items) about generic drug consistency evaluation, volume-based purchasing policy, the efficiency and safety of branded and generic drugs and impact on medical insurance fund expenditure; (3) attitude toward NCDP policy (5 items), about generic drug substitution, clinically rational drug use, medication burden, and efficiency of insurance fund, etc.; (4) practice of policy implementation (3 items), such as the possibility of using centralized purchased drugs by themselves or their families. The knowledge section was assessed through the respondents&#x2019; answers to the questions with &#x201C;Yes&#x201D; or &#x201C;No&#x201D;; &#x201C;Yes&#x201D; received 1 point while &#x201C;No&#x201D; received 0. In the attitude and practice section, a 5-point Likert scale either of agreement (strongly disagree, disagree, neither, agree, strongly agree) or frequency (never, occasionally, sometimes, often, always) was used. We categorized each KAP domain using a 70% competency threshold (<xref ref-type="bibr" rid="ref29">29</xref>). Specifically, knowledge scores of &#x2265;5 were classified as &#x201C;adequate,&#x201D; while those &#x003C;5 were deemed &#x201C;inadequate.&#x201D; For attitude scores, &#x2265;18 was labeled as &#x201C;positive,&#x201D; and &#x003C;18 was considered &#x201C;negative.&#x201D; Practice scores were rated as &#x201C;good&#x201D; if &#x2265;11 and &#x201C;poor&#x201D; if &#x003C;11. The pilot study results were not included in the final results. Questionnaires with obvious logical errors or a pattern of selecting the same options for all items were considered invalid and excluded from the analysis.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Data collection procedure</title>
<p>The inclusion criteria were HCPs working at public hospitals in Shaanxi Province at the time the survey conducted. The questionnaire using screeners that automatically excluded any respondents whose filling time was less than 100&#x202F;s or whose work location was not in Shaanxi Province.</p>
<p>A convenience and snowball sampling strategy was used to enroll potential participants. First, the questionnaire was created and published on a professional platform named &#x201C;WenJuanXing&#x201D; for data collection. The questionnaire was made into a QR code and sent to the pharmacy department director of our unit using WeChat as the carrier. Then, the department director sent the QR code to WeChat groups of various pharmaceutical specialized committees and invited the directors of the clinic department of hospitals to be the first batch of research objects. Finally, the first batch of research subjects would publish the questionnaire in the workgroup of their department, invite the staff of their department as the second batch of research subjects to complete the questionnaire, and encourage their colleagues to send the questionnaire to their WeChat Moment and invite their peers to fill in the questionnaire.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Data accuracy and completeness were verified prior to analysis using SPSS 25.0 (IBM Corp.). Descriptive statistics presented continuous variables as mean&#x00B1;SD and categorical variables as frequency (%). Pearson correlation analyses were performed to examine linear relationships between continuous knowledge, attitude, and practice scores. Potential factors associated with KAP levels were initially screened using Chi-square tests between all baseline characteristics and the binary KAP outcome. Variables with <italic>p</italic>&#x202F;&#x003C;&#x202F;0.1 in univariate analyses were entered into multivariable logistic regression to identify independent factors influencing KAP levels. A two-sided <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<sec id="sec14">
<label>3.1</label>
<title>Baseline characteristics</title>
<p>In total, 1,283 responses were received. A total of 26 responses were excluded due to logical inconsistencies (<italic>n</italic>&#x202F;=&#x202F;2, one with age &#x003E;100&#x202F;years, one with work experience exceeding biological age), uniform responses across all attitude and practice items (<italic>n</italic>&#x202F;=&#x202F;5), or completion time &#x003C;100&#x202F;s (<italic>n</italic>&#x202F;=&#x202F;19). After removing non-qualifying responses, the final sample size was 1,257.</p>
<p>The average age of the respondents was 39.27&#x202F;years (SD&#x202F;=&#x202F;9.57, range&#x202F;=&#x202F;19&#x2013;68); the majority of the respondents were female (768, 61.1%) and bachelor (700, 55.7%) from tertiary hospitals (822, 65.4%). Most respondents were pharmacists (585, 46.5%) and physicians (479, 38.1%). A description of demographic data is given in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Socio-demographic characteristics of healthcare professionals (HCPs).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Number (<italic>N</italic> =&#x202F;1,257)</th>
<th align="center" valign="top">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="3">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">489</td>
<td align="center" valign="top">38.9</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">768</td>
<td align="center" valign="top">61.1</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Age(years)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;30</td>
<td align="center" valign="top">200</td>
<td align="center" valign="top">15.9</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39</td>
<td align="center" valign="top">486</td>
<td align="center" valign="top">38.7</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49</td>
<td align="center" valign="top">343</td>
<td align="center" valign="top">27.3</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;50</td>
<td align="center" valign="top">228</td>
<td align="center" valign="top">18.1</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Years of working</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;5</td>
<td align="center" valign="top">263</td>
<td align="center" valign="top">20.9</td>
</tr>
<tr>
<td align="left" valign="top">6&#x2013;10</td>
<td align="center" valign="top">298</td>
<td align="center" valign="top">23.7</td>
</tr>
<tr>
<td align="left" valign="top">11&#x2013;20</td>
<td align="center" valign="top">316</td>
<td align="center" valign="top">25.1</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;20</td>
<td align="center" valign="top">380</td>
<td align="center" valign="top">30.2</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Professional title</td>
</tr>
<tr>
<td align="left" valign="top">Junior</td>
<td align="center" valign="top">428</td>
<td align="center" valign="top">34.0</td>
</tr>
<tr>
<td align="left" valign="top">Intermediate</td>
<td align="center" valign="top">447</td>
<td align="center" valign="top">35.6</td>
</tr>
<tr>
<td align="left" valign="top">Senior</td>
<td align="center" valign="top">382</td>
<td align="center" valign="top">30.4</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Education level</td>
</tr>
<tr>
<td align="left" valign="top">Technical secondary school and junior college</td>
<td align="center" valign="top">143</td>
<td align="center" valign="top">11.4</td>
</tr>
<tr>
<td align="left" valign="top">Bachelor</td>
<td align="center" valign="top">700</td>
<td align="center" valign="top">55.7</td>
</tr>
<tr>
<td align="left" valign="top">Master or above</td>
<td align="center" valign="top">414</td>
<td align="center" valign="top">32.9</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Occupation</td>
</tr>
<tr>
<td align="left" valign="top">Physician</td>
<td align="center" valign="top">479</td>
<td align="center" valign="top">38.1</td>
</tr>
<tr>
<td align="left" valign="top">Pharmacist</td>
<td align="center" valign="top">585</td>
<td align="center" valign="top">46.5</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">193</td>
<td align="center" valign="top">15.4</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Hospital category</td>
</tr>
<tr>
<td align="left" valign="top">Tertiary hospitals</td>
<td align="center" valign="top">822</td>
<td align="center" valign="top">65.4</td>
</tr>
<tr>
<td align="left" valign="top">Secondary hospitals</td>
<td align="center" valign="top">435</td>
<td align="center" valign="top">34.6</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Attending training</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">680</td>
<td align="center" valign="top">54.1</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">577</td>
<td align="center" valign="top">45.9</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Knowledge, attitude, and practice scores</title>
<sec id="sec16">
<label>3.2.1</label>
<title>Knowledge score</title>
<p>The respondents were asked seven questions about NCDP policy. The results showed that the mean score was 4.66 (SD&#x202F;=&#x202F;2.12, range 0&#x2013;7) and 516 (58.4%) had adequate knowledge. Overall, 57.1% of the respondents thought that they knew about the policy. The majority (72.6%) of respondents correctly answered six out of seven questions. NCDP knowledge scores varied significantly across working years, educational level, occupation, hospital categories, and attending training or not (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Chi-square analysis of factors associated with KAP level.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" colspan="3">Knowledge level</th>
<th align="center" valign="top" colspan="3">Attitude level</th>
<th align="center" valign="top" colspan="3">Practice level</th>
</tr>
<tr>
<th align="center" valign="top">Adequate/n(%)</th>
<th align="center" valign="top">&#x03C7;<sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Positive/n(%)</th>
<th align="center" valign="top">&#x03C7;<sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Good/n(%)</th>
<th align="center" valign="top">&#x03C7;<sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td align="center" valign="top">0.147</td>
<td align="center" valign="top">0.701</td>
<td/>
<td align="center" valign="top">0.023</td>
<td align="center" valign="top">0.879</td>
<td/>
<td align="center" valign="top">3.598</td>
<td align="center" valign="top">0.058</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">204 (39.5)</td>
<td/>
<td/>
<td align="center" valign="top">308 (38.7)</td>
<td/>
<td/>
<td align="center" valign="top">188 (42.4)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">312 (60.5)</td>
<td/>
<td/>
<td align="center" valign="top">487 (61.3)</td>
<td/>
<td/>
<td align="center" valign="top">255 (57.6)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age(years)</td>
<td/>
<td align="center" valign="top">2.955</td>
<td align="center" valign="top">0.399</td>
<td/>
<td align="center" valign="top">5.413</td>
<td align="center" valign="top">0.144</td>
<td/>
<td align="center" valign="top">64.557</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;30</td>
<td align="center" valign="top">72 (14.0)</td>
<td/>
<td/>
<td align="center" valign="top">127 (16.0)</td>
<td/>
<td/>
<td align="center" valign="top">34 (7.7)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39</td>
<td align="center" valign="top">200 (38.8)</td>
<td/>
<td/>
<td align="center" valign="top">289 (36.4)</td>
<td/>
<td/>
<td align="center" valign="top">147 (33.2)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49</td>
<td align="center" valign="top">149 (28.9)</td>
<td/>
<td/>
<td align="center" valign="top">227 (28.6)</td>
<td/>
<td/>
<td align="center" valign="top">150 (33.9)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;50</td>
<td align="center" valign="top">95 (18.4)</td>
<td/>
<td/>
<td align="center" valign="top">152 (19.1)</td>
<td/>
<td/>
<td align="center" valign="top">112 (25.3)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">years of working</td>
<td/>
<td align="center" valign="top">9.42</td>
<td align="center" valign="top">0.024</td>
<td/>
<td align="center" valign="top">7.913</td>
<td align="center" valign="top">0.048</td>
<td/>
<td align="center" valign="top">82.545</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;5</td>
<td align="center" valign="top">86 (16.7)</td>
<td/>
<td/>
<td align="center" valign="top">164 (20.6)</td>
<td/>
<td/>
<td align="center" valign="top">43 (9.7)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">6&#x2013;10</td>
<td align="center" valign="top">132 (25.6)</td>
<td/>
<td/>
<td align="center" valign="top">187 (23.5)</td>
<td/>
<td/>
<td align="center" valign="top">90 (20.3)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">11&#x2013;20</td>
<td align="center" valign="top">136 (26.4)</td>
<td/>
<td/>
<td align="center" valign="top">184 (23.1)</td>
<td/>
<td/>
<td align="center" valign="top">119 (26.9)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;20</td>
<td align="center" valign="top">162 (31.4)</td>
<td/>
<td/>
<td align="center" valign="top">226 (32.7)</td>
<td/>
<td/>
<td align="center" valign="top">191 (43.1)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Professional title</td>
<td/>
<td align="center" valign="top">5.408</td>
<td align="center" valign="top">0.067</td>
<td/>
<td align="center" valign="top">6.025</td>
<td align="center" valign="top">0.049</td>
<td/>
<td align="center" valign="top">40.568</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">Junior</td>
<td align="center" valign="top">161 (31.2)</td>
<td/>
<td/>
<td align="center" valign="top">252 (31.7)</td>
<td/>
<td/>
<td align="center" valign="top">109 (24.6)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Intermediate</td>
<td align="center" valign="top">202 (39.1)</td>
<td/>
<td/>
<td align="center" valign="top">287 (36.1)</td>
<td/>
<td/>
<td align="center" valign="top">155 (35.0)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Senior</td>
<td align="center" valign="top">153 (29.7)</td>
<td/>
<td/>
<td align="center" valign="top">256 (32.2)</td>
<td/>
<td/>
<td align="center" valign="top">179 (40.4)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Education level</td>
<td/>
<td align="center" valign="top">24.923</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td/>
<td align="center" valign="top">8.042</td>
<td align="center" valign="top">0.018</td>
<td/>
<td align="center" valign="top">13.437</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">Technical secondary school and junior college</td>
<td align="center" valign="top">133 (25.8)</td>
<td/>
<td/>
<td align="center" valign="top">243 (30.6)</td>
<td/>
<td/>
<td align="center" valign="top">118 (26.6)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Bachelor</td>
<td align="center" valign="top">307 (59.5)</td>
<td/>
<td/>
<td align="center" valign="top">466 (58.6)</td>
<td/>
<td/>
<td align="center" valign="top">265 (59.8)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Master or above</td>
<td align="center" valign="top">76 (14.7)</td>
<td/>
<td/>
<td align="center" valign="top">86 (10.8)</td>
<td/>
<td/>
<td align="center" valign="top">60 (13.5)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Occupation</td>
<td/>
<td align="center" valign="top">90.663</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td/>
<td align="center" valign="top">122.711</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td/>
<td align="center" valign="top">140.743</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">Physician</td>
<td align="center" valign="top">132 (25.6)</td>
<td/>
<td/>
<td align="center" valign="top">271 (34.1)</td>
<td/>
<td/>
<td align="center" valign="top">96 (21.7)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Pharmacist</td>
<td align="center" valign="top">322 (62.4)</td>
<td/>
<td/>
<td align="center" valign="top">454 (57.1)</td>
<td/>
<td/>
<td align="center" valign="top">306 (69.1)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">62 (12.0)</td>
<td/>
<td/>
<td align="center" valign="top">70 (8.8)</td>
<td/>
<td/>
<td align="center" valign="top">41 (9.3)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hospital category</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tertiary hospitals</td>
<td align="center" valign="top">312 (60.5)</td>
<td align="center" valign="top">9.396</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">502 (63.1)</td>
<td align="center" valign="top">4.835</td>
<td align="center" valign="top">0.028</td>
<td align="center" valign="top">265 (59.8)</td>
<td align="center" valign="top">9.393</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Secondary hospitals</td>
<td align="center" valign="top">204 (39.5)</td>
<td/>
<td/>
<td align="center" valign="top">293 (36.9)</td>
<td/>
<td/>
<td align="center" valign="top">178 (40.2)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Attending training</td>
<td/>
<td align="center" valign="top">80.369</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td/>
<td align="center" valign="top">38.066</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td/>
<td align="center" valign="top">95.389</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">357 (69.2)</td>
<td/>
<td/>
<td align="center" valign="top">483 (60.8)</td>
<td/>
<td/>
<td align="center" valign="top">322 (72.7)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">159 (30.8)</td>
<td/>
<td/>
<td align="center" valign="top">312 (39.2)</td>
<td/>
<td/>
<td align="center" valign="top">121 (27.4)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec17">
<label>3.2.2</label>
<title>Attitude score</title>
<p>The results showed that the mean attitude score was 18.19 (SD&#x202F;=&#x202F;3.99, range 5&#x2013;25) and 795 (63.2%) had positive attitude. However, only about half of the respondents agreed that, the clinical efficacy (615, 48.9%) and safety (690, 54.9%) of original and generic drugs are the same theoretically. Attitude scores varied significantly across working years, professional title, educational level, occupation, hospital categories, and attending training or not (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
</sec>
<sec id="sec18">
<label>3.2.3</label>
<title>Practice score</title>
<p>The results showed that the mean practice score was 9.25 (SD&#x202F;=&#x202F;2.82, range 3&#x2013;15) and 443 (35.2%) had good practice. Notably, 109 (8.7%) respondents reported that neither they nor their family members never use centrally procured drugs. Practice scores exhibited significant variation across all demographic characteristics, with the exception of gender (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
</sec>
<sec id="sec19">
<label>3.2.4</label>
<title>The KAP scores of HCPs in different occupation</title>
<p>Among the HCPs, pharmacists got the highest scores across all sections. Pharmacists&#x2019; KAP scores were 5.51&#x202F;&#x00B1;&#x202F;1.56 for knowledge, 19.46&#x202F;&#x00B1;&#x202F;3.25 for attitude, and 10.37&#x202F;&#x00B1;&#x202F;2.61 for practice. In contrast, physician KAP scores were 3.95&#x202F;&#x00B1;&#x202F;2.14 for knowledge, 17.64&#x202F;&#x00B1;&#x202F;3.90 for attitude, and 8.33&#x202F;&#x00B1;&#x202F;2.54 for practice. For the others, KAP scores were 3.80&#x202F;&#x00B1;&#x202F;2.53 for knowledge, 15.72&#x202F;&#x00B1;&#x202F;4.67 for attitude, and 8.15&#x202F;&#x00B1;&#x202F;2.81 for practice.</p>
</sec>
</sec>
<sec id="sec20">
<label>3.3</label>
<title>Pearson correlations of KAP scores</title>
<p>Pearson correlation analysis (<xref ref-type="table" rid="tab3">Table 3</xref>) revealed that all KAP scores were statistically significant. Specifically, knowledge scores showed a weak but significant correlation with attitude scores (<italic>r</italic>&#x202F;=&#x202F;0.401, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) and practice scores (<italic>r</italic>&#x202F;=&#x202F;0.365, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). This suggested that higher knowledge levels are associated with more positive attitudes and better practices, although the relationships are not particularly strong. Furthermore, the correlation between attitude and practice scores was also significant (<italic>r</italic>&#x202F;=&#x202F;0.359, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), indicating that positive attitudes are moderately associated with better practices.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Correlation coefficients between KAP scores.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Item</th>
<th align="center" valign="top">Knowledge</th>
<th align="center" valign="top">Attitude</th>
<th align="center" valign="top">Practice</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Knowledge</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Attitude</td>
<td align="center" valign="top">0.401</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Practice</td>
<td align="center" valign="top">0.365<sup>a</sup></td>
<td align="center" valign="top">0.359<sup>a</sup></td>
<td align="center" valign="top">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>Indicates that the correlation is significant at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 (two-tailed).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec21">
<label>3.4</label>
<title id="path5">Attitudes and practices of diverse healthcare professionals toward NCDP policy</title>
<p>Significant occupational disparities were observed in attitudes and practices toward the NCDP policy. Pharmacists generally demonstrated a positive attitude toward the NCDP policy, with over 84% affirming its effectiveness in reducing patient burden (88.2% agree/strongly agree) and improving fund efficiency (84.0%). They also showed proactive implementation through frequent catalog tracking (56.2%), patient education (48.6%), and personal drug use (58.9%). Physicians showed economically aligned but operationally constrained profiles, supporting patient burden reduction (74.3%) but resisting clinical behavior regulation (37.1% disagreed on generic substitution), reflected in limited advocacy practices&#x2014;only 25.5% tracked catalogs frequently and 28.8% routinely educated patients(see <xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption><p>Attitudes and practices of diverse healthcare professionals toward NCDP policy.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Item</th>
<th align="center" valign="top">Pharmacists (<italic>n</italic> =&#x202F;584)</th>
<th align="center" valign="top">Physicians (<italic>n</italic> =&#x202F;480)</th>
<th align="center" valign="top">Others (<italic>n</italic> =&#x202F;193)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5">Attitude part</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>1. Generic drugs evaluated through consistency can completely replace the original drugs.</p></list-item>
</list></td>
<td align="center" valign="top">
<list list-type="simple">
<list-item><p>0.001</p></list-item>
</list></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly disagree</p></list-item>
</list></td>
<td align="center" valign="top">21 (3.6%)</td>
<td align="center" valign="top">21 (4.4%)</td>
<td align="center" valign="top">8 (4.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Disagree</p></list-item>
</list></td>
<td align="center" valign="top">138 (23.6%)</td>
<td align="center" valign="top">157 (32.7%)</td>
<td align="center" valign="top">59 (30.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Neutral</p></list-item>
</list></td>
<td align="center" valign="top">204 (34.9%)</td>
<td align="center" valign="top">162 (33.8%)</td>
<td align="center" valign="top">42 (21.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Agree</p></list-item>
</list></td>
<td align="center" valign="top">182 (31.2%)</td>
<td align="center" valign="top">115 (24.0%)</td>
<td align="center" valign="top">71 (36.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly agree</p></list-item>
</list></td>
<td align="center" valign="top">38 (6.7%)</td>
<td align="center" valign="top">25 (5.2%)</td>
<td align="center" valign="top">13 (6.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>2. National centralized procurement policy helps to regulate clinical drug utilization behavior.</p></list-item>
</list></td>
<td align="center" valign="top">
<list list-type="simple">
<list-item><p>&#x003C;0.01</p></list-item>
</list></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly disagree</p></list-item>
</list></td>
<td align="center" valign="top">6 (1.0%)</td>
<td align="center" valign="top">17 (3.5%)</td>
<td align="center" valign="top">2 (1.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Disagree</p></list-item>
</list></td>
<td align="center" valign="top">30 (5.1%)</td>
<td align="center" valign="top">61 (12.7%)</td>
<td align="center" valign="top">98 (50.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Neutral</p></list-item>
</list></td>
<td align="center" valign="top">138 (23.6%)</td>
<td align="center" valign="top">140 (29.2%)</td>
<td align="center" valign="top">9 (4.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Agree</p></list-item>
</list></td>
<td align="center" valign="top">301 (51.5%)</td>
<td align="center" valign="top">199 (41.5%)</td>
<td align="center" valign="top">48 (24.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly agree</p></list-item>
</list></td>
<td align="center" valign="top">109 (18.7%)</td>
<td align="center" valign="top">63 (13.1%)</td>
<td align="center" valign="top">36 (18.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>3. National centralized procurement policy helps to reduce the medical burden on patients.</p></list-item>
</list></td>
<td align="center" valign="top">
<list list-type="simple">
<list-item><p>&#x003C;0.01</p></list-item>
</list></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly disagree</p></list-item>
</list></td>
<td align="center" valign="top">5 (0.9%)</td>
<td align="center" valign="top">5 (1.0) %</td>
<td align="center" valign="top">1 (0.5%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Disagree</p></list-item>
</list></td>
<td align="center" valign="top">8 (1.4%)</td>
<td align="center" valign="top">31 (6.5%)</td>
<td align="center" valign="top">98 (50.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Neutral</p></list-item>
</list></td>
<td align="center" valign="top">56 (9.6%)</td>
<td align="center" valign="top">87 (18.1%)</td>
<td align="center" valign="top">2 (1.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Agree</p></list-item>
</list></td>
<td align="center" valign="top">288 (49.3%)</td>
<td align="center" valign="top">244 (50.8%)</td>
<td align="center" valign="top">37 (19.2%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly agree</p></list-item>
</list></td>
<td align="center" valign="top">227 (38.9%)</td>
<td align="center" valign="top">113 (23.5%)</td>
<td align="center" valign="top">55 (28.5%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>4. National centralized procurement policy helps to improve the efficiency of medical insurance funds.</p></list-item>
</list></td>
<td align="center" valign="top">
<list list-type="simple">
<list-item><p>&#x003C;0.01</p></list-item>
</list></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly disagree</p></list-item>
</list></td>
<td align="center" valign="top">5 (0.9%)</td>
<td align="center" valign="top">12 (2.5%)</td>
<td align="center" valign="top">2 (1.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Disagree</p></list-item>
</list></td>
<td align="center" valign="top">14 (2.4%)</td>
<td align="center" valign="top">36 (7.5%)</td>
<td align="center" valign="top">103 (53.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Neutral</p></list-item>
</list></td>
<td align="center" valign="top">75 (12.8%)</td>
<td align="center" valign="top">113 (23.5%)</td>
<td align="center" valign="top">5 (2.6%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Agree</p></list-item>
</list></td>
<td align="center" valign="top">311 (53.3%)</td>
<td align="center" valign="top">234 (48.8%)</td>
<td align="center" valign="top">38 (19.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly agree</p></list-item>
</list></td>
<td align="center" valign="top">179 (30.7%)</td>
<td align="center" valign="top">85 (17.7%)</td>
<td align="center" valign="top">45 (23.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>5. Hospitals should take various measures to encourage the priority use of centrally purchased drugs.</p></list-item>
</list></td>
<td align="center" valign="top">
<list list-type="simple">
<list-item><p>&#x003C;0.01</p></list-item>
</list></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly disagree</p></list-item>
</list></td>
<td align="center" valign="top">4 (0.7%)</td>
<td align="center" valign="top">9 (1.9%)</td>
<td align="center" valign="top">3 (1.6%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Disagree</p></list-item>
</list></td>
<td align="center" valign="top">10 (1.7%)</td>
<td align="center" valign="top">52 (10.8%)</td>
<td align="center" valign="top">94 (48.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Neutral</p></list-item>
</list></td>
<td align="center" valign="top">64 (11.0%)</td>
<td align="center" valign="top">133 (27.7%)</td>
<td align="center" valign="top">9 (4.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Agree</p></list-item>
</list></td>
<td align="center" valign="top">316 (54.1%)</td>
<td align="center" valign="top">198 (41.3%)</td>
<td align="center" valign="top">43 (22.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Strongly agree</p></list-item>
</list></td>
<td align="center" valign="top">190 (32.5%)</td>
<td align="center" valign="top">88 (18.3%)</td>
<td align="center" valign="top">44 (22.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Practice part</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>1. Would you actively follow the update of the national drug centralized procurement catalog?</p></list-item>
</list></td>
<td align="left" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Never</p></list-item>
</list></td>
<td align="center" valign="top">18 (3.1%)</td>
<td align="center" valign="top">55 (11.5%)</td>
<td align="center" valign="top">24 (12.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Occasionally</p></list-item>
</list></td>
<td align="center" valign="top">125 (21.4%)</td>
<td align="center" valign="top">175 (36.5%)</td>
<td align="center" valign="top">78 (40.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Sometimes</p></list-item>
</list></td>
<td align="center" valign="top">113 (19.3%)</td>
<td align="center" valign="top">128 (26.7%)</td>
<td align="center" valign="top">42 (21.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Often</p></list-item>
</list></td>
<td align="center" valign="top">199 (34.1%)</td>
<td align="center" valign="top">102 (21.3%)</td>
<td align="center" valign="top">40 (20.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Always</p></list-item>
</list></td>
<td align="center" valign="top">129 (22.1%)</td>
<td align="center" valign="top">20 (4.2%)</td>
<td align="center" valign="top">9 (4.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>2. Would you proactively explain the national drug procurement policy to patients?</p></list-item>
</list></td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Never</p></list-item>
</list></td>
<td align="center" valign="top">17 (2.9%)</td>
<td align="center" valign="top">51 (10.6%)</td>
<td align="center" valign="top">33 (17.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Occasionally</p></list-item>
</list></td>
<td align="center" valign="top">128 (21.9%)</td>
<td align="center" valign="top">153 (31.9%)</td>
<td align="center" valign="top">62 (32.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Sometimes</p></list-item>
</list></td>
<td align="center" valign="top">155 (26.5%)</td>
<td align="center" valign="top">138 (28.7%)</td>
<td align="center" valign="top">51 (26.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Often</p></list-item>
</list></td>
<td align="center" valign="top">198 (33.9%)</td>
<td align="center" valign="top">117 (24.4%)</td>
<td align="center" valign="top">38 (19.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Always</p></list-item>
</list></td>
<td align="center" valign="top">86 (14.7%)</td>
<td align="center" valign="top">21 (4.4%)</td>
<td align="center" valign="top">9 (4.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">
<list list-type="simple">
<list-item><p>3. Do you or your family use the drugs listed in the centralized procurement catalog?</p></list-item>
</list></td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Never</p></list-item>
</list></td>
<td align="center" valign="top">20 (3.4%)</td>
<td align="center" valign="top">63 (13.1%)</td>
<td align="center" valign="top">26 (13.5%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Occasionally</p></list-item>
</list></td>
<td align="center" valign="top">79 (13.5%)</td>
<td align="center" valign="top">122 (25.4%)</td>
<td align="center" valign="top">45 (23.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Sometimes</p></list-item>
</list></td>
<td align="center" valign="top">141 (24.1%)</td>
<td align="center" valign="top">155 (32.3%)</td>
<td align="center" valign="top">61 (31.6%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Often</p></list-item>
</list></td>
<td align="center" valign="top">270 (46.2%)</td>
<td align="center" valign="top">112 (23.3%)</td>
<td align="center" valign="top">50 (25.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="simple">
<list-item><p>Always</p></list-item>
</list></td>
<td align="center" valign="top">74 (12.7%)</td>
<td align="center" valign="top">28 (5.8%)</td>
<td align="center" valign="top">11 (5.7%)</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec22">
<label>3.5</label>
<title>Multivariate logistic regression analysis</title>
<p>A multivariate logistic regression analysis was conducted to identify the factors associated with KAP levels regarding the NCDP policy. For knowledge levels, pharmacists demonstrated significantly higher knowledge compared to physicians (OR&#x202F;=&#x202F;4.14, 95% CI: 3.07&#x2013;5.58, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). Intermediate and senior professional titles were also significantly associated with higher knowledge levels (OR&#x202F;=&#x202F;1.63, 95% CI: 1.15&#x2013;2.33, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05; OR&#x202F;=&#x202F;1.81, 95% CI: 1.11&#x2013;2.96, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Additionally, attending training was significantly associated with higher knowledge levels (OR&#x202F;=&#x202F;2.75, 95% CI: 2.14&#x2013;3.53, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). Positive attitudes were significantly associated with 11&#x2013;20&#x202F;years of working experience (OR&#x202F;=&#x202F;0.63, 95%CI: 0.41&#x2013;0.97, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), holding a master&#x2019;s degree or above (OR&#x202F;=&#x202F;1.58, 95%CI: 1.02&#x2013;2.45, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), being a pharmacist (OR&#x202F;=&#x202F;2.29, 95%CI: 1.71&#x2013;3.08, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) and attending training (OR&#x202F;=&#x202F;1.65, 95%CI: 1.29&#x2013;2.12, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). For practice levels, pharmacists again showed significantly higher practice levels than physicians (OR&#x202F;=&#x202F;3.86, 95% CI: 2.80&#x2013;5.32, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). Practice levels were also significantly higher among those with 11&#x2013;20&#x202F;years of working experience (OR&#x202F;=&#x202F;2.36, 95% CI: 1.27&#x2013;4.41, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) and over 20&#x202F;years of working experience (OR&#x202F;=&#x202F;2.82, 95% CI: 1.31&#x2013;6.07, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Attending training was significantly associated with higher practice levels (OR&#x202F;=&#x202F;2.96, 95% CI: 2.25&#x2013;3.88, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) (see <xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption><p>Univariable and multivariable analysis of associated factors of HCPs&#x2019; KAP toward NCDP policy.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" colspan="3">Knowledge level</th>
<th align="center" valign="top" colspan="3">Attitude level</th>
<th align="center" valign="top" colspan="3">Practice level</th>
</tr>
<tr>
<th align="center" valign="top">B</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Content</td>
<td align="center" valign="top">&#x2212;0.76</td>
<td/>
<td align="center" valign="top">&#x003C;0.05</td>
<td align="center" valign="top">&#x2212;0.12</td>
<td/>
<td align="center" valign="top">0.67</td>
<td align="left" valign="top">&#x2212;3.34</td>
<td/>
<td align="left" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="10">Age(years)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;30</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
</tr>
<tr>
<td align="left" valign="middle">30&#x2013;39</td>
<td align="center" valign="top">&#x2212;0.28</td>
<td align="center" valign="top">0.76 (0.45&#x2013;1.27)</td>
<td align="center" valign="top">0.29</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">1.43 (0.78&#x2013;2.63)</td>
<td align="center" valign="top">0.25</td>
</tr>
<tr>
<td align="left" valign="middle">40&#x2013;49</td>
<td align="center" valign="top">&#x2212;0.25</td>
<td align="center" valign="top">0.78 (0.40&#x2013;1.53)</td>
<td align="center" valign="top">0.47</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">1.51 (0.72&#x2013;3.17)</td>
<td align="center" valign="top">0.27</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;50</td>
<td align="center" valign="top">&#x2212;0.12</td>
<td align="center" valign="top">0.88 (0.39&#x2013;2.02)</td>
<td align="center" valign="top">0.77</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">1.66 (0.69&#x2013;3.99)</td>
<td align="center" valign="top">0.25</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="10">years of working</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2264;5</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
</tr>
<tr>
<td align="left" valign="middle">6&#x2013;10</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">1.35 (0.83&#x2013;2.19)</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">&#x2212;0.33</td>
<td align="center" valign="top">0.72 (0.49&#x2013;1.07)</td>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">0.44</td>
<td align="center" valign="top">1.55 (0.88&#x2013;2.72)</td>
<td align="center" valign="top">0.13</td>
</tr>
<tr>
<td align="left" valign="middle">11&#x2013;20</td>
<td align="center" valign="top">0.26</td>
<td align="center" valign="top">1.29 (0.74&#x2013;2.23)</td>
<td align="center" valign="top">0.37</td>
<td align="center" valign="top">&#x2212;0.46</td>
<td align="center" valign="top">0.63 (0.41&#x2013;0.97)</td>
<td align="center" valign="top">&#x003C;0.05</td>
<td align="center" valign="top">0.86</td>
<td align="center" valign="top">2.36 (1.27&#x2013;4.41)</td>
<td align="center" valign="top">&#x003C;0.05</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003E;20</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">1.08 (0.53&#x2013;2.23)</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="top">&#x2212;0.22</td>
<td align="center" valign="top">0.80 (0.48&#x2013;1.33)</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">1.04</td>
<td align="center" valign="top">2.82 (1.31&#x2013;6.07)</td>
<td align="center" valign="top">&#x003C;0.05</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="10">Professional title</td>
</tr>
<tr>
<td align="left" valign="middle">Junior</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
</tr>
<tr>
<td align="left" valign="middle">Intermediate</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">1.63 (1.15&#x2013;2.33)</td>
<td align="center" valign="top">&#x003C;0.05</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">1.26 (0.89&#x2013;1.78)</td>
<td align="center" valign="top">0.18</td>
<td align="center" valign="top">&#x2212;0.002</td>
<td align="center" valign="top">0.99 (0.67&#x2013;1.45)</td>
<td align="center" valign="top">0.99</td>
</tr>
<tr>
<td align="left" valign="middle">Senior</td>
<td align="center" valign="top">0.59</td>
<td align="center" valign="top">1.81 (1.11&#x2013;2.96)</td>
<td align="center" valign="top">&#x003C;0.05</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">1.38 (0.87&#x2013;2.19)</td>
<td align="center" valign="top">0.18</td>
<td align="center" valign="top">0.29</td>
<td align="center" valign="top">1.34 (0.81&#x2013;2.24)</td>
<td align="center" valign="top">0.26</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="10">Education level</td>
</tr>
<tr>
<td align="left" valign="middle">Technical secondary school and junior college</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
</tr>
<tr>
<td align="left" valign="middle">Bachelor</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">0.61 (0.35&#x2013;1.06)</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">0.02</td>
<td align="center" valign="top">1.02 (0.61&#x2013;1.72)</td>
<td align="center" valign="top">0.94</td>
<td align="center" valign="top">0.12</td>
<td align="center" valign="top">1.13 (0.65&#x2013;1.97)</td>
<td align="center" valign="top">0.67</td>
</tr>
<tr>
<td align="left" valign="middle">Master or above</td>
<td align="center" valign="top">&#x2212;0.38</td>
<td align="center" valign="top">0.68 (0.43&#x2013;1.08)</td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top">1.58(1.02&#x2013;2.45)</td>
<td align="center" valign="top">&#x003C;0.05</td>
<td align="center" valign="top">0.22</td>
<td align="center" valign="top">1.25 (0.80&#x2013;1.95)</td>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="10">Occupation</td>
</tr>
<tr>
<td align="left" valign="middle">Physician</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
</tr>
<tr>
<td align="left" valign="middle">Pharmacist</td>
<td align="center" valign="top">1.42</td>
<td align="center" valign="top">4.14 (3.07&#x2013;5.58)</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="top">2.29 (1.71&#x2013;3.08)</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">1.35</td>
<td align="center" valign="top">3.86 (2.80&#x2013;5.32)</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="middle">Others</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">1.38 (0.92&#x2013;2.06)</td>
<td align="center" valign="top">0.12</td>
<td align="center" valign="top">&#x2212;0.91</td>
<td align="center" valign="top">0.40 (0.27&#x2013;0.60)</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">0.22</td>
<td align="center" valign="top">1.25 (0.77&#x2013;2.02)</td>
<td align="center" valign="top">0.36</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="10">Hospital category</td>
</tr>
<tr>
<td align="left" valign="middle">Tertiary hospitals</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
</tr>
<tr>
<td align="left" valign="middle">Secondary hospitals</td>
<td align="center" valign="top">&#x2212;0.09</td>
<td align="center" valign="top">0.92 (0.68&#x2013;1.23)</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">1.11 (0.82&#x2013;1.49)</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">0.19</td>
<td align="center" valign="top">1.21 (0.90&#x2013;1.64)</td>
<td align="center" valign="top">0.21</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="10">Attending training</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="top">1.01</td>
<td align="center" valign="top">2.75 (2.14&#x2013;3.53)</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">1.65 (1.29&#x2013;2.12)</td>
<td align="center" valign="top">&#x003C;0.01</td>
<td align="center" valign="top">1.08</td>
<td align="center" valign="top">2.96 (2.25&#x2013;3.88)</td>
<td align="center" valign="top">&#x003C;0.01</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec23">
<label>3.6</label>
<title>HCPs&#x2019; common concerns with NCDP policy</title>
<p>The first three issues regarding the NCDP policy, according to HCPs, were guaranteeing the medicine quality (93.2%), strengthening clinical outcomes research (80.0%), and strengthening monitoring of adverse reactions (79.6%) (see <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>HCPs&#x2019; common concerns with NCDP policy.</p></caption>
<graphic xlink:href="fpubh-13-1616534-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Horizontal bar chart showing policy improvement priorities by percentage. &#x201C;Guarantee the quality of medicines&#x201D; leads with 93.2%, followed by &#x201C;Strengthen clinical outcomes research&#x201D; at 80.0%, and &#x201C;Strengthen monitoring of adverse reactions&#x201D; at 79.6%. Other priorities include &#x201C;Ensure the supply of medicines&#x201D; at 67.7%, &#x201C;Control drug prices&#x201D; at 63.1%, &#x201C;Strengthen public information&#x201D; at 51.3%, and &#x201C;Supporting corresponding incentive policies&#x201D; at 48.9%. An &#x201C;Other&#x201D; category is at 8.8%.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec24">
<label>4</label>
<title>Discussion</title>
<p>The current study aimed to assess the KAP of HCPs regarding the NCDP policy in northwestern China. Compared to a previous study (<xref ref-type="bibr" rid="ref20">20</xref>) conducted in central China, which found that only a small percentage of HCPs had good KAP toward the NCDP policy, our findings indicated that HCPs in Shaanxi have a better KAP level. Notably, this suggests varying levels of comprehension and involvement with the policy among participants.</p>
<p>To begin with, the average knowledge score suggested a moderate awareness among HCPs, indicating a general understanding but potentially lacking in-depth knowledge of the policy&#x2019;s details. Only about half of the respondents agreed that the clinical efficacy and safety of original and generic drugs are identical. Similarly, many respondents acknowledged unfamiliarity with the identifier for drugs that have passed the GCE. As such, these findings suggested that HCPs have reservations about the quality of generic drugs. Recently, during the Shanghai &#x201C;Two Sessions,&#x201D; several medical experts have raised concerns that some centrally procured drugs may pose quality risks (<xref ref-type="bibr" rid="ref30">30</xref>). The skepticism surrounding generic drugs stems from a lack of trust in the quality evaluation standards of these medications. This was mirrored in the survey findings, which indicated that only slightly over half of the respondents (55.8%) claimed to be aware of or had seen the consistency evaluation mark. Moreover, the substantially lower prices of generic drugs listed in the centralized procurement catalog, compared to their original counterparts, might contribute to this perception, leading some to equate price with quality.</p>
<p>Overall, attitudes toward the NCDP policy were generally positive, with the majority of respondents agreeing on its public benefit, signifying a recognition of the policy&#x2019;s potential to enhance affordable medication access (<xref ref-type="bibr" rid="ref31">31</xref>). However, the finding that only a small proportion strongly agreed that the NCDP policy helps to reduce the medical burden on patients indicated that there may be hesitations about the policy&#x2019;s impact on patient welfare. The main reasons for this hesitation might be doubts about the quality of generic drugs, and some medical staff were also dissatisfied with the therapeutic effects of the centralized procurement of drugs (<xref ref-type="bibr" rid="ref32">32</xref>). Although the GCE system has demonstrated pharmaceutical equivalence through <italic>in vitro</italic> pharmaceutical studies (e.g., dissolution profiles, bioavailability of active ingredients), the therapeutic equivalence in clinical practice requires further validation with real-world evidence. It should also be noted that current evaluation criteria primarily focus on critical quality attributes of active pharmaceutical ingredients (<xref ref-type="bibr" rid="ref17">17</xref>) while potentially overlooking the impact of excipient variations in complex formulations (e.g., sustained-release dosage forms and inhalation preparations). Due to patent protections or trade secret restrictions on proprietary excipient compositions of originator drugs, generic manufacturers face challenges in achieving complete replication (<xref ref-type="bibr" rid="ref33">33</xref>). Such discrepancies may lead to differences in release kinetics or local absorption efficiency, affecting therapeutic outcomes or safety profiles (<xref ref-type="bibr" rid="ref34">34</xref>). Furthermore, the existing evaluation framework inadequately addresses systematic assessments of long-term stability, pharmacokinetic characteristics in special populations (e.g., patients with hepatic/renal impairment) (<xref ref-type="bibr" rid="ref35">35</xref>), and rare adverse reactions. These limitations may contribute to HCPs&#x2019; reservations regarding the reliability of consistency-evaluated generic drugs. Our study revealed nuanced differences in attitudes toward the NCDP policy among various occupational groups of HCPs, particularly between pharmacists and physicians, underscoring profession-specific factors that sway policy acceptance. This pattern can be explained by role specialization; pharmacists, as medication supply chain managers, directly observe the impact of NCDP on drug accessibility and cost reduction. Higher education likely enhances their understanding of the policy&#x2019;s design and long-term benefits. Additionally, workflow integration plays a key role, as pharmacists&#x2019; responsibilities in inventory management and shortage reporting align closely with NCDP objectives, fostering a sense of ownership and acceptance.</p>
<p>This finding also suggested that training effectively addresses the knowledge-attitude gap by bridging the critical information deficit physicians face in clinical decision-making, which relies heavily on drug efficacy and safety data, through providing evidence on generic equivalence and quality safeguards. Furthermore, training serves as a behavioral nudge by clarifying the availability of clinical flexibility, such as permitting the use of non-selected drugs under specific conditions, thereby reducing perceived constraints on clinical practice. These divergent patterns carry significant policy implications: pharmacists are well-positioned as NCDP advocates, and utilizing their expertise in supply chain coordination could enhance policy implementation. Meanwhile, physicians require targeted education to address therapeutic concerns, and mandatory training that incorporates real-world evidence, such as post-marketing studies of selected drugs, may bolster trust in the policy.</p>
<p>In terms of practicality, the mean score indicated that there is room for improvement in the implementation of the NCDP policy. The fact that only a minority of HCPs always or often actively follow the update of the NCDP catalog suggested a potential gap in staying informed about policy changes, which is crucial for effective policy implementation. Additionally, the finding that only about half of the HCPs would consider using centrally procured drugs for themselves or their families is disappointing, given the policy&#x2019;s emphasis on affordability and accessibility. However, as the variety and coverage of these drugs continue to expand, we believe this proportion will gradually increase. Importantly, this result highlighted a significant gap in the consistent adoption of the policy across the board. The rapid frequency of updates in the centralized procurement policy poses difficulties for doctors in keeping track of policy changes in real-time (<xref ref-type="bibr" rid="ref36">36</xref>). Work experience emerged as a significant factor influencing practice levels, while participation in training demonstrated a strong association with enhanced practice behaviors. These findings underscore the value of hands-on experience in policy implementation and highlight how targeted training can effectively bridge the gap between theoretical knowledge and practical application, thereby optimizing the execution of policy-related tasks.</p>
<p>The concerns of HCPs regarding the NCDP policy reflect the priorities and potential reservations, with the leading issues being guaranteeing medicine quality, strengthening clinical outcomes research, and strengthening monitoring of adverse reactions. These concerns are valid and must be addressed to ensure the successful implementation of the policy. Notably, future research should focus on several key areas. Firstly, high-quality clinical evidence is needed to evaluate the efficacy and safety of centrally procured drugs, especially in real-world settings. This will help to build confidence among HCPs and patients regarding the quality of these medications. Secondly, studies should explore the long-term impacts of the NCDP policy on patient outcomes and healthcare costs, providing a comprehensive assessment of its effectiveness. Thirdly, research should investigate the barriers to policy implementation from the perspectives of HCPs, patients, and policymakers and identify strategies to overcome these challenges. Additionally, the development of robust monitoring systems for adverse drug reactions is crucial to ensure patient safety and enhance the credibility of the policy. Similarly, targeted training is imperative to strengthen HCPs&#x2019; policy endorsement and implementation fidelity, with a priority focus on therapeutic effectiveness and safety evaluation. By clarifying bioequivalence certification methodologies (e.g., pharmacokinetic criteria) and quality assurance mechanisms, such education directly addresses the clinical concerns that hinder adherence to drug substitution, thereby turning evidence gaps into actionable competence.</p>
</sec>
<sec id="sec25">
<label>5</label>
<title>Strengths and limitations</title>
<p>This study benefits from a large, diverse sample across multiple healthcare settings, enhancing its generalizability within similar contexts. The rigorous questionnaire validation and high response rate strengthen this study&#x2019;s reliability. However, this study also had several limitations. Firstly, the limitations include its cross-sectional design, which precludes causal inferences, and potential selection bias due to convenience and snowball sampling. Secondly, self-reported data may also introduce social desirability bias, particularly in attitude and practice assessments. Thirdly and importantly, the study participants were exclusively drawn from HCPs in public hospitals, excluding those from primary healthcare institutions. Future research should focus on primary healthcare institutions, as they play a vital role in the healthcare system and provide unique insights not captured in the current study. Additionally, the focus on Shaanxi Province&#x2014;a region with higher GDP and healthcare infrastructure&#x2014;may limit extrapolation to less-developed areas in China. Also, future studies with larger samples should explore finer subgroup stratifications (e.g., by pharmacy type, institutional context) to uncover additional determinants.</p>
</sec>
<sec sec-type="conclusions" id="sec26">
<label>6</label>
<title>Conclusion</title>
<p>This study investigated healthcare professionals&#x2019; KAP regarding China&#x2019;s NCDP policy in Northwest China. Key findings revealed moderate but suboptimal overall KAP levels, with only 58.4% demonstrating adequate knowledge, 63.2% holding positive attitudes, and 35.2% exhibiting good practices. Pharmacists significantly outperformed physicians across all KAP domains due to their specialized drug management training and policy-aligned roles, while training attendance consistently predicted enhanced KAP across occupational groups. Despite the general acknowledgment of the policy&#x2019;s public health benefits, concerns about generic drug quality and therapeutic equivalence, particularly regarding clinical efficacy and safety, have persistently emerged as central barriers to its implementation. Significant KAP variations across professions, education levels, and work experience underscore the need for tailored interventions: evidence-based medicine training for physicians to address therapeutic equivalence concerns, drug management protocols for nurses, and targeted educational campaigns reinforcing generic drug quality assurance. To optimize the integration of NCDP policies into healthcare systems, strengthening real-world evidence generation and implementing profession-specific strategies are crucial. Tailored strategies can enhance the effectiveness of NCDP policies and increase their acceptance among healthcare professionals, thereby ensuring the policies&#x2019; successful integration.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec27">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="sec34">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec28">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of the Xi&#x2019;an Jiaotong University under the approval number of &#x201C;2022247.&#x201D; The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec29">
<title>Author contributions</title>
<p>QS: Writing &#x2013; original draft, Formal analysis, Methodology, Investigation, Conceptualization. LK: Investigation, Writing &#x2013; review &#x0026; editing, Methodology, Data curation. DY: Supervision, Writing &#x2013; review &#x0026; editing, Data curation. YL: Visualization, Writing &#x2013; review &#x0026; editing, Methodology, Investigation. KZ: Resources, Writing &#x2013; review &#x0026; editing, Conceptualization, Project administration, Supervision.</p>
</sec>
<sec sec-type="funding-information" id="sec30">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was funded by the Natural Science Foundation of Shaanxi Province of China (2024JC-YBQN-0747), the Research Project of Xi&#x2019;an Municipal Health Commission (2024ms02), and the Research Topics of Chinese Youth Medical Innovation (P240920108627).</p>
</sec>
<ack>
<p>We would like to express our sincere gratitude to all the healthcare professionals who participated in and contributed to this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec31">
<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="ai-statement" id="sec32">
<title>Generative AI statement</title>
<p>The authors declare that no Gen 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 sec-type="disclaimer" id="sec33">
<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>
<sec sec-type="supplementary-material" id="sec34">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1616534/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1616534/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>NCDP, National Centralized Drug Procurement; HCPs, Healthcare Professionals; KAP, Knowledge, Attitudes, and Practices; GCE, Generic Consistency Evaluation.</p></fn>
</fn-group>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://www.calculator.net/sample-size-calculator.html" ext-link-type="uri">https://www.calculator.net/sample-size-calculator.html</ext-link></p></fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll3001">World Health Organization</collab></person-group>. (<year>2022</year>). <source>Global spending on health: Rising to the pandemic&#x2019;s challenges</source>. <publisher-loc>Geneva</publisher-loc>: <publisher-name>WHO</publisher-name>. Available online at: <ext-link xlink:href="https://iris.who.int/handle/10665/365133" ext-link-type="uri">https://iris.who.int/handle/10665/365133</ext-link> (Accessed April 15, 2025).</citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pantoja</surname><given-names>T</given-names></name> <name><surname>Pe&#x00F1;aloza</surname><given-names>B</given-names></name> <name><surname>Cid</surname><given-names>C</given-names></name> <name><surname>Herrera</surname><given-names>CA</given-names></name> <name><surname>Ramsay</surname><given-names>CR</given-names></name> <name><surname>Hudson</surname><given-names>J</given-names></name></person-group>. <article-title>Pharmaceutical policies: effects of regulating drug insurance schemes</article-title>. <source>Cochrane Database Syst Rev</source>. (<year>2022</year>) <volume>5</volume>:<fpage>CD011703</fpage>. doi: <pub-id pub-id-type="doi">10.1002/14651858.CD011703.pub2</pub-id>, PMID: <pub-id pub-id-type="pmid">35502614</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>T</given-names></name> <name><surname>Deng</surname><given-names>W</given-names></name> <name><surname>Zhao</surname><given-names>W</given-names></name> <name><surname>Liu</surname><given-names>J</given-names></name> <name><surname>Deng</surname><given-names>J</given-names></name></person-group>. <article-title>Do indicators for the proportion of pharmaceutical spending alleviate the burden of medical expenditure? Evidence from provincial panel-data in China, 2010-2019</article-title>. <source>Expert Rev Pharmacoecon Outcomes Res</source>. (<year>2022</year>) <volume>22</volume>:<fpage>225</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1080/14737167.2021.1917999</pub-id>, PMID: <pub-id pub-id-type="pmid">33866909</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xiong</surname><given-names>Y</given-names></name> <name><surname>Cui</surname><given-names>Y</given-names></name> <name><surname>Zhang</surname><given-names>X</given-names></name></person-group>. <article-title>Pharmaceutical expenditure and total health-care expenditure in OECD countries and China: bidirectional granger causality on the basis of health level</article-title>. <source>Expert Rev Pharmacoecon Outcomes Res</source>. (<year>2022</year>) <volume>22</volume>:<fpage>505</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1080/14737167.2019.1605292</pub-id>, PMID: <pub-id pub-id-type="pmid">30958724</pub-id></citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Borde</surname><given-names>MT</given-names></name> <name><surname>Kabthymer</surname><given-names>RH</given-names></name> <name><surname>Shaka</surname><given-names>MF</given-names></name> <name><surname>Abate</surname><given-names>SM</given-names></name></person-group>. <article-title>The burden of household out-of-pocket healthcare expenditures in Ethiopia: a systematic review and meta-analysis</article-title>. <source>Int J Equity Health</source>. (<year>2022</year>) <volume>21</volume>:<fpage>14</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12939-021-01610-3</pub-id>, PMID: <pub-id pub-id-type="pmid">35101038</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Balkhi</surname><given-names>B</given-names></name> <name><surname>Alshayban</surname><given-names>D</given-names></name> <name><surname>Alotaibi</surname><given-names>NM</given-names></name></person-group>. <article-title>Impact of healthcare expenditures on healthcare outcomes in the Middle East and North Africa (MENA) region: a cross-country comparison, 1995-2015</article-title>. <source>Front Public Health</source>. (<year>2021</year>) <volume>8</volume>:<fpage>624962</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2020.624962</pub-id>, PMID: <pub-id pub-id-type="pmid">33614570</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Galvani</surname><given-names>AP</given-names></name> <name><surname>Parpia</surname><given-names>AS</given-names></name> <name><surname>Foster</surname><given-names>EM</given-names></name> <name><surname>Singer</surname><given-names>BH</given-names></name> <name><surname>Fitzpatrick</surname><given-names>MC</given-names></name></person-group>. <article-title>Improving the prognosis of health care in the USA</article-title>. <source>Lancet</source>. (<year>2020</year>) <volume>395</volume>:<fpage>524</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(19)33019-3</pub-id>, PMID: <pub-id pub-id-type="pmid">32061298</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Long</surname><given-names>H</given-names></name> <name><surname>Yang</surname><given-names>Y</given-names></name> <name><surname>Geng</surname><given-names>X</given-names></name> <name><surname>Mao</surname><given-names>Z</given-names></name> <name><surname>Mao</surname><given-names>Z</given-names></name></person-group>. <article-title>Changing characteristics of pharmaceutical prices in China under centralized procurement policy: a multi-intervention interrupted time series</article-title>. <source>Front Pharmacol</source>. (<year>2022</year>) <volume>13</volume>:<fpage>944540</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2022.944540</pub-id>, PMID: <pub-id pub-id-type="pmid">35910351</pub-id></citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname><given-names>M</given-names></name> <name><surname>He</surname><given-names>J</given-names></name> <name><surname>Chen</surname><given-names>M</given-names></name> <name><surname>Cong</surname><given-names>L</given-names></name> <name><surname>Xu</surname><given-names>Y</given-names></name> <name><surname>Yang</surname><given-names>Y</given-names></name> <etal/></person-group>. <article-title>&#x201C;4+7&#x201D; City drug volume-based purchasing and using pilot program in China and its impact</article-title>. <source>Drug Discov Ther</source>. (<year>2019</year>) <volume>13</volume>:<fpage>365</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.5582/ddt.2019.01093</pub-id>, PMID: <pub-id pub-id-type="pmid">31956236</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dylst</surname><given-names>P</given-names></name> <name><surname>Vulto</surname><given-names>A</given-names></name> <name><surname>Simoens</surname><given-names>S</given-names></name></person-group>. <article-title>Tendering for outpatient prescription pharmaceuticals: what can be learned from current practices in Europe?</article-title> <source>Health Policy</source>. (<year>2011</year>) <volume>101</volume>:<fpage>146</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.healthpol.2011.03.004</pub-id>, PMID: <pub-id pub-id-type="pmid">21511353</pub-id></citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Seidman</surname><given-names>G</given-names></name> <name><surname>Atun</surname><given-names>R</given-names></name></person-group>. <article-title>Do changes to supply chains and procurement processes yield cost savings and improve availability of pharmaceuticals, vaccines or health products? A systematic review of evidence from low-income and middle-income countries</article-title>. <source>BMJ Glob Health</source>. (<year>2017</year>) <volume>2</volume>:<fpage>e000243</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmjgh-2016-000243</pub-id>, PMID: <pub-id pub-id-type="pmid">28589028</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname><given-names>Z</given-names></name> <name><surname>Wang</surname><given-names>Q</given-names></name> <name><surname>Sun</surname><given-names>Q</given-names></name> <name><surname>Lexchin</surname><given-names>J</given-names></name> <name><surname>Yang</surname><given-names>L</given-names></name></person-group>. <article-title>Improving access to medicines and beyond: the National Volume-Based Procurement Policy in China</article-title>. <source>BMJ Glob Health</source>. (<year>2023</year>) <volume>8</volume>:<fpage>e011535</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmjgh-2022-011535</pub-id>, PMID: <pub-id pub-id-type="pmid">37463786</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>J</given-names></name> <name><surname>Yang</surname><given-names>Y</given-names></name> <name><surname>Xu</surname><given-names>L</given-names></name> <name><surname>Shen</surname><given-names>Y</given-names></name> <name><surname>Wen</surname><given-names>X</given-names></name> <name><surname>Mao</surname><given-names>L</given-names></name> <etal/></person-group>. <article-title>Impact of &#x201C;4+7&#x201D; volume-based drug procurement on the use of policy-related original and generic drugs: a natural experimental study in China</article-title>. <source>BMJ Open</source>. (<year>2022</year>) <volume>12</volume>:<fpage>e054346</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmjopen-2021-054346</pub-id>, PMID: <pub-id pub-id-type="pmid">35288385</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll1">National Healthcare Security Administration</collab></person-group>. (<year>2024</year>). <source>The tenth round of the National Centralized Drug Procurement has Been Opened, promoting the improvement and upgrading of patient medication and increasing the supply of high-quality drugs</source>. Available online at: <ext-link xlink:href="https://www.nhsa.gov.cn/art/2024/12/12/art_52_15098.html" ext-link-type="uri">https://www.nhsa.gov.cn/art/2024/12/12/art_52_15098.html</ext-link> (Accessed April 15, 2024).</citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>YJ</given-names></name> <name><surname>Ren</surname><given-names>Y</given-names></name> <name><surname>Zheng</surname><given-names>Q</given-names></name> <name><surname>Tan</surname><given-names>J</given-names></name> <name><surname>Yao</surname><given-names>MH</given-names></name> <name><surname>Huang</surname><given-names>YX</given-names></name> <etal/></person-group>. <article-title>The impact of National Centralized Drug Procurement on health expenditures for lung cancer inpatients: a difference-in-differences analysis in a large tertiary hospital in China</article-title>. <source>Front Public Health</source>. (<year>2022</year>) <volume>10</volume>:<fpage>956823</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2022.956823</pub-id>, PMID: <pub-id pub-id-type="pmid">36033763</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname><given-names>J</given-names></name> <name><surname>Zhang</surname><given-names>X</given-names></name> <name><surname>Zhang</surname><given-names>H</given-names></name> <name><surname>Yang</surname><given-names>Y</given-names></name> <name><surname>Shao</surname><given-names>R</given-names></name></person-group>. <article-title>Analysis of key stakeholders in the National Drug Centralized Procurement Policy</article-title>. <source>China Pharm</source>. (<year>2021</year>) <volume>32</volume>:<fpage>2677</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.6039/j.issn.1001-0408.2021.21.20</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname><given-names>J</given-names></name> <name><surname>Zuo</surname><given-names>W</given-names></name> <name><surname>Wang</surname><given-names>S</given-names></name> <name><surname>Du</surname><given-names>L</given-names></name> <name><surname>Liu</surname><given-names>X</given-names></name> <name><surname>Gao</surname><given-names>Y</given-names></name> <etal/></person-group>. <article-title>Knowledge, perceptions and practices of pharmacists regarding generic substitution in China: a cross-sectional study</article-title>. <source>BMJ Open</source>. (<year>2021</year>) <volume>11</volume>:<fpage>e051277</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmjopen-2021-051277</pub-id>, PMID: <pub-id pub-id-type="pmid">34663661</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll2">National Healthcare Security Administration</collab></person-group>. <source>The state council regular policy briefing: progress on the deepen reform of centralized procurement of drug and high value medical consumables</source>. (<year>2022</year>). Available online at: <ext-link xlink:href="http://www.nhsa.gov.cn/art/2022/2/11/art_14_7835.html" ext-link-type="uri">http://www.nhsa.gov.cn/art/2022/2/11/art_14_7835.html</ext-link></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Andrade</surname><given-names>C</given-names></name> <name><surname>Menon</surname><given-names>V</given-names></name> <name><surname>Ameen</surname><given-names>S</given-names></name> <name><surname>Kumar Praharaj</surname><given-names>S</given-names></name></person-group>. <article-title>Designing and conducting knowledge, attitude, and practice surveys in psychiatry: practical guidance</article-title>. <source>Indian J Psychol Med</source>. (<year>2020</year>) <volume>42</volume>:<fpage>478</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0253717620946111</pub-id>, PMID: <pub-id pub-id-type="pmid">33414597</pub-id></citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>A</given-names></name> <name><surname>Wang</surname><given-names>X</given-names></name> <name><surname>Tao</surname><given-names>Y</given-names></name> <name><surname>Lin</surname><given-names>L</given-names></name> <name><surname>Cheng</surname><given-names>H</given-names></name></person-group>. <article-title>Healthcare professionals&#x2019; knowledge, attitude and practice towards National Centralized Drug Procurement Policy in Central China: a cross-sectional study</article-title>. <source>Front Pharmacol</source>. (<year>2022</year>) <volume>13</volume>:<fpage>996824</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2022.996824</pub-id>, PMID: <pub-id pub-id-type="pmid">36278203</pub-id></citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>B</given-names></name> <name><surname>Zhang</surname><given-names>T</given-names></name> <name><surname>Tang</surname><given-names>X</given-names></name> <name><surname>Luo</surname><given-names>L</given-names></name></person-group>. <article-title>Research on differences and regional distributions of selected-drug prices involved in China&#x2019;s centralized quantity-based procurement</article-title>. <source>Chin J Health Policy</source>. (<year>2023</year>) <volume>16</volume>:<fpage>29</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.3969/j.issn.1674-2982.2023.05</pub-id></citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gu</surname><given-names>Y</given-names></name> <name><surname>Zhuang</surname><given-names>Q</given-names></name></person-group>. <article-title>Does China&#x2019;s centralized volume-based drug procurement policy facilitate the transition from imitation to innovation for listed pharmaceutical companies? Empirical tests based on double difference model</article-title>. <source>Front Pharmacol</source>. (<year>2023</year>) <volume>14</volume>:<fpage>1192423</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2023.1192423</pub-id>, PMID: <pub-id pub-id-type="pmid">37324496</pub-id></citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll3">People&#x2019;s Government of Shaanxi Province</collab></person-group>. <source>Overview of Shaanxi Province</source>. (<year>2020</year>). Available online at: <ext-link xlink:href="http://www.shaanxi.gov.cn/sq/" ext-link-type="uri">http://www.shaanxi.gov.cn/sq/</ext-link> (Accessed October 7, 2024).</citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll4">Shaanxi Provincial Bureau of Statistics</collab></person-group>. (<year>2023</year>) <source>Shaanxi statistical yearbook</source>. Available online at: <ext-link xlink:href="http://dfz.shaanxi.gov.cn/sqzlk/sxnj/sxnjpdf/202404/P020240408546339063274.pdf" ext-link-type="uri">http://dfz.shaanxi.gov.cn/sqzlk/sxnj/sxnjpdf/202404/P020240408546339063274.pdf</ext-link> (Accessed January 15, 2025).</citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll5">National Health Commission</collab></person-group>. (<year>2022</year>) <source>2021 statistical bulletin of China&#x2019;s health development</source>. Available online at: <ext-link xlink:href="http://www.gov.cn/xinwen/2020-07/12/content_5500670.htm" ext-link-type="uri">http://www.gov.cn/xinwen/2020-07/12/content_5500670.htm</ext-link> (Accessed January 20, 2025).</citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>N</given-names></name> <name><surname>Yang</surname><given-names>Y</given-names></name> <name><surname>Xu</surname><given-names>L</given-names></name> <name><surname>Mao</surname><given-names>Z</given-names></name> <name><surname>Cui</surname><given-names>D</given-names></name></person-group>. <article-title>Influence of Chinese National Centralized Drug Procurement on the price of policy-related drugs: an interrupted time series analysis</article-title>. <source>BMC Public Health</source>. (<year>2021</year>) <volume>21</volume>:<fpage>1883</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-021-11882-7</pub-id>, PMID: <pub-id pub-id-type="pmid">34663282</pub-id></citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname><given-names>F</given-names></name> <name><surname>Suryohusodo</surname><given-names>AA</given-names></name></person-group>. <article-title>Knowledge, attitude, and practice assessment toward COVID-19 among communities in East Nusa Tenggara, Indonesia: a cross-sectional study</article-title>. <source>Front Public Health</source>. (<year>2022</year>) <volume>10</volume>:<fpage>957630</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2022.957630</pub-id>, PMID: <pub-id pub-id-type="pmid">36388283</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>H</given-names></name> <name><surname>Lin</surname><given-names>F</given-names></name> <name><surname>Wang</surname><given-names>R</given-names></name> <name><surname>Zhu</surname><given-names>C</given-names></name> <name><surname>Cao</surname><given-names>K</given-names></name> <name><surname>Chen</surname><given-names>Y</given-names></name> <etal/></person-group>. <article-title>The impacts of National Centralized Drug Procurement Policy on drug utilization of medical institutions: an empirical study in a county-level Hospital in China</article-title>. <source>BMC Health Serv Res</source>. (<year>2024</year>) <volume>24</volume>:<fpage>513</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12913-024-10964-7</pub-id>, PMID: <pub-id pub-id-type="pmid">38658940</pub-id></citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hallit</surname><given-names>S</given-names></name> <name><surname>Zeidan</surname><given-names>RK</given-names></name> <name><surname>Saade</surname><given-names>S</given-names></name> <name><surname>Hajj</surname><given-names>A</given-names></name> <name><surname>Hallit</surname><given-names>R</given-names></name> <name><surname>Yahchouchy</surname><given-names>C</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitude and practice of Lebanese community pharmacists toward chronic obstructive pulmonary disease</article-title>. <source>J Epidemiol Glob Health</source>. (<year>2020</year>) <volume>10</volume>:<fpage>86</fpage>&#x2013;<lpage>95</lpage>. doi: <pub-id pub-id-type="doi">10.2991/jegh.k.191215.004</pub-id>, PMID: <pub-id pub-id-type="pmid">32175715</pub-id></citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll6">National Healthcare Security Administration</collab></person-group>. <source>Letter on &#x2018;requesting assistance in facilitating face-to-face discussions to gather opinions on centralized drug procurement</source>. (<year>2025</year>). Available online at: <ext-link xlink:href="https://www.nhsa.gov.cn/art/2025/1/20/art_14_15515.html" ext-link-type="uri">https://www.nhsa.gov.cn/art/2025/1/20/art_14_15515.html</ext-link> (Accessed January 22, 2025).</citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>Y</given-names></name> <name><surname>Tong</surname><given-names>R</given-names></name> <name><surname>Yin</surname><given-names>S</given-names></name> <name><surname>Mao</surname><given-names>L</given-names></name> <name><surname>Xu</surname><given-names>L</given-names></name> <name><surname>Hao</surname><given-names>S</given-names></name> <etal/></person-group>. <article-title>The impact of &#x201C;4&#x202F;+&#x202F;7&#x201D; volume-based drug procurement on the volume, expenditures, and daily costs of antihypertensive drugs in Shenzhen, China: an interrupted time series analysis</article-title>. <source>BMC Health Serv Res</source>. (<year>2021</year>) <volume>21</volume>:<fpage>1275</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12913-021-07143-3</pub-id>, PMID: <pub-id pub-id-type="pmid">34823516</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>W</given-names></name> <name><surname>Zheng</surname><given-names>S</given-names></name> <name><surname>Hou</surname><given-names>H</given-names></name> <name><surname>Shu</surname><given-names>L</given-names></name> <name><surname>Chen</surname><given-names>R</given-names></name></person-group>. <article-title>Investigation and research on the current cognitive status and pharmaceutical demand of physicians and patients on National Centralized Drug Procurement policy in two grade-a tertiary hospitals in different regions</article-title>. <source>Herald Med</source>. (<year>2022</year>) <volume>41</volume>:<fpage>1557</fpage>&#x2013;<lpage>63</lpage>. doi: <pub-id pub-id-type="doi">10.3870/j.issn.1004-0781.2022.10.034</pub-id></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mehta</surname><given-names>M</given-names></name> <name><surname>Schug</surname><given-names>B</given-names></name> <name><surname>Blume</surname><given-names>HH</given-names></name> <name><surname>Beuerle</surname><given-names>G</given-names></name> <name><surname>Jiang</surname><given-names>W</given-names></name> <name><surname>Koenig</surname><given-names>J</given-names></name> <etal/></person-group>. <article-title>The global bioequivalence harmonisation initiative (GBHI): report of the fifth international EUFEPS/AAPS conference</article-title>. <source>Eur J Pharm Sci</source>. (<year>2023</year>) <volume>190</volume>:<fpage>106566</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ejps.2023.106566</pub-id>, PMID: <pub-id pub-id-type="pmid">37591469</pub-id></citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>J</given-names></name> <name><surname>Zuo</surname><given-names>C</given-names></name> <name><surname>Shi</surname><given-names>Y</given-names></name> <name><surname>Yan</surname><given-names>J</given-names></name></person-group>. <article-title>Generic substitution policies for narrow therapeutic index drugs in foreign countries and their implications for China</article-title>. <source>J China Pharm Univ</source>. (<year>2024</year>) <volume>55</volume>:<fpage>565</fpage>&#x2013;<lpage>72</lpage>. doi: <pub-id pub-id-type="doi">10.11665/j.issn.1000-5048.2023092301</pub-id></citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bettonte</surname><given-names>S</given-names></name> <name><surname>Berton</surname><given-names>M</given-names></name> <name><surname>Marzolini</surname><given-names>C</given-names></name></person-group>. <article-title>Magnitude of drug-drug interactions in special populations</article-title>. <source>Pharmaceutics</source>. (<year>2022</year>) <volume>14</volume>:<fpage>789</fpage>. doi: <pub-id pub-id-type="doi">10.3390/pharmaceutics14040789</pub-id>, PMID: <pub-id pub-id-type="pmid">35456623</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname><given-names>W</given-names></name> <name><surname>Zhao</surname><given-names>Z</given-names></name> <name><surname>Cheng</surname><given-names>Z</given-names></name> <name><surname>Li</surname><given-names>H</given-names></name> <name><surname>Zhu</surname><given-names>H</given-names></name></person-group>. <article-title>A systematic review on the impact of the volume-based procurement policy on prices and dosages of drugs</article-title>. <source>Chin J Health Policy</source>. (<year>2023</year>) <volume>16</volume>:<fpage>52</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.3969/j.issn.1674-2982.2023.02.008</pub-id></citation></ref>
</ref-list>
</back>
</article>