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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v7i6e24235</article-id>
      <article-id pub-id-type="pmid">34085941</article-id>
      <article-id pub-id-type="doi">10.2196/24235</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Factors Influencing Clinicians’ Willingness to Prescribe Pre-exposure Prophylaxis for Persons at High Risk of HIV in China: Cross-sectional Online Survey Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ren</surname>
            <given-names>Ziyou</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Pimentel</surname>
            <given-names>Maria da Graca</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Azzam</surname>
            <given-names>Ahmed</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Cui</surname>
            <given-names>Sitong</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-7397-7494</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Ding</surname>
            <given-names>Haibo</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9445-5473</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Huang</surname>
            <given-names>Xiaojie</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5045-9202</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Hui</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9524-8337</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Tang</surname>
            <given-names>Weiming</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff7" ref-type="aff">7</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9026-707X</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Leuba</surname>
            <given-names>Sequoia I</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff8" ref-type="aff">8</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6585-2824</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Ye</surname>
            <given-names>Zehao</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2390-1744</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Jiang</surname>
            <given-names>Yongjun</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0166-7846</ext-link>
        </contrib>
        <contrib id="contrib9" contrib-type="author">
          <name name-style="western">
            <surname>Geng</surname>
            <given-names>Wenqing</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7008-9974</ext-link>
        </contrib>
        <contrib id="contrib10" contrib-type="author">
          <name name-style="western">
            <surname>Xu</surname>
            <given-names>Junjie</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-4303-7295</ext-link>
        </contrib>
        <contrib id="contrib11" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Shang</surname>
            <given-names>Hong</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>NHC Key Laboratory of AIDS Immunology (China Medical University)</institution>
            <institution>National Clinical Research Center for Laboratory Medicine</institution>
            <institution>The First Affiliated Hospital of China Medical University</institution>
            <addr-line>No 155, Nanjing North Street, Heping District</addr-line>
            <addr-line>Shenyang, Liaoning Province, 110001</addr-line>
            <country>China</country>
            <fax>86 8328 2634</fax>
            <phone>86 8328 2634</phone>
            <email>hongshang100@hotmail.com</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-5333-8943</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>NHC Key Laboratory of AIDS Immunology (China Medical University)</institution>
        <institution>National Clinical Research Center for Laboratory Medicine</institution>
        <institution>The First Affiliated Hospital of China Medical University</institution>
        <addr-line>Shenyang, Liaoning Province</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Key Laboratory of AIDS Immunology</institution>
        <institution>Chinese Academy of Medical Sciences</institution>
        <addr-line>Shenyang</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Key Laboratory of AIDS Immunology of Liaoning Province</institution>
        <addr-line>Shenyang</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases</institution>
        <addr-line>Hangzhou</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Center for Infectious Diseases</institution>
        <institution>Beijing You'an Hospital</institution>
        <institution>Capital Medical University</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>Shenzhen Third People’s Hospital</institution>
        <addr-line>Shenzhen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff7">
        <label>7</label>
        <institution>Project-China, University of North Carolina at Chapel Hill</institution>
        <addr-line>Guangzhou</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff8">
        <label>8</label>
        <institution>Department of Epidemiology</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Hong Shang <email>hongshang100@hotmail.com</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>6</month>
        <year>2021</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>4</day>
        <month>6</month>
        <year>2021</year>
      </pub-date>
      <volume>7</volume>
      <issue>6</issue>
      <elocation-id>e24235</elocation-id>
      <history>
        <date date-type="received">
          <day>10</day>
          <month>9</month>
          <year>2020</year>
        </date>
        <date date-type="rev-request">
          <day>21</day>
          <month>10</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>13</day>
          <month>12</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>15</day>
          <month>4</month>
          <year>2021</year>
        </date>
      </history>
      <copyright-statement>©Sitong Cui, Haibo Ding, Xiaojie Huang, Hui Wang, Weiming Tang, Sequoia I Leuba, Zehao Ye, Yongjun Jiang, Wenqing Geng, Junjie Xu, Hong Shang. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 04.06.2021.</copyright-statement>
      <copyright-year>2021</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://publichealth.jmir.org/2021/6/e24235" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Pre-exposure prophylaxis (PrEP) is an effective HIV prevention measure. Clinicians play a crucial role in PrEP implementation, and their knowledge, attitudes, and career experience may affect their willingness to prescribe PrEP. However, little is known about the attitudes and willingness of clinicians to prescribe PrEP in countries without PrEP-specific guidelines.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>We aimed to determine the factors associated with clinicians being willing to prescribe PrEP in China.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>Between May and June 2019, we conducted an online cross-sectional survey of clinicians in 31 provinces across the six administrative regions in China on the WeChat smartphone app platform. Multivariable logistic regression was used to determine factors associated with willingness to prescribe PrEP.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Overall, 777 HIV clinicians completed the survey. Most of the respondents had heard of PrEP (563/777, 72.5%), 31.9% (248/777) thought that PrEP was extremely effective for reducing the risk of HIV infection, and 47.2% (367/777) thought that it was necessary to provide PrEP to high-risk groups. After adjusting for age, gender, ethnicity, and educational background of the clinicians, the following factors signiﬁcantly increased the odds of the clinicians being willing to prescribe PrEP: having worked for more than 10 years, compared to 5 years or less (adjusted odds ratio [aOR] 2.82, 95% CI 1.96-4.05); having treated more than 100 patients living with HIV per month, compared to 50 patients or fewer (aOR 4.16, 95% CI 2.85-6.08); and having heard of PrEP (aOR 7.32, 95% CI 4.88-10.97). Clinicians were less likely to be willing to prescribe PrEP if they were concerned about poor adherence to PrEP (aOR 0.66, 95% CI 0.50-0.88), the lack of PrEP clinical guidelines (aOR 0.47, 95% CI 0.32-0.70), and the lack of drug indications for PrEP (aOR 0.49, 95% CI 0.32-0.76).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>About half of all clinicians surveyed were willing to prescribe PrEP, but most surveyed had a low understanding of PrEP. Lack of PrEP clinical guidelines, lack of drug indications, and less than 11 years of work experience were the main barriers to the surveyed clinicians’ willingness to prescribe PrEP. Development of PrEP clinical guidelines and drug indications, as well as increasing the availability of PrEP training, could help improve understanding of PrEP among clinicians and, thus, increase the number willing to prescribe PrEP.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>WeChat</kwd>
        <kwd>pre-exposure prophylaxis</kwd>
        <kwd>clinicians</kwd>
        <kwd>willingness to prescribe</kwd>
        <kwd>HIV prevention</kwd>
        <kwd>China</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Pre-exposure prophylaxis (PrEP) is a highly effective preventative strategy for HIV; through a combination of HIV approaches recommended by the World Health Organization (WHO), PrEP can reduce HIV transmission [<xref ref-type="bibr" rid="ref1">1</xref>]. PrEP strategies involve key HIV-negative populations who take antiretroviral medications and attend routine visits with an HIV clinician in order to prevent HIV transmission. Recent clinical trials among men who have sex with men (MSM) have shown that daily oral PrEP and on-demand PrEP can prevent 86% and 96% of HIV infections, respectively [<xref ref-type="bibr" rid="ref2">2</xref>]. Tenofovir disoproxil fumarate/emtricitabine (TDF/FTC; brand name Truvada) has been approved by the WHO for PrEP use among adults and adolescents at risk of HIV [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. About 40 countries around the world have incorporated PrEP into their health systems, 10 of which have carried out nationwide programs [<xref ref-type="bibr" rid="ref2">2</xref>]. The other 30, including China, are implementing pilot projects exploring the acceptability, effectiveness, and cost of PrEP [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref5">5</xref>]. At present, only a few countries have provided support on implementing this new strategy through country-specific guidelines for clinicians [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref6">6</xref>].</p>
      <p>Before prescribing PrEP, physicians must assess the HIV risk of the patient, their likely adherence, and any potential side effects in order to ensure effective use of PrEP [<xref ref-type="bibr" rid="ref7">7</xref>-<xref ref-type="bibr" rid="ref10">10</xref>]. PrEP is most effective at reducing HIV risk when targeted toward high-risk populations [<xref ref-type="bibr" rid="ref6">6</xref>]. Assessing likely adherence is crucial, as patients with low adherence to PrEP did not have a reduction in HIV risk [<xref ref-type="bibr" rid="ref11">11</xref>]. In addition, as some high-risk populations have anxiety and depression [<xref ref-type="bibr" rid="ref12">12</xref>], any potential side effects of PrEP must be assessed by the clinician prior to prescribing PrEP. Thus, any support in making these judgments before prescribing is needed.</p>
      <p>One potential method to support clinicians in prescribing PrEP is through providing clinical guidelines to standardize HIV risk assessment. In countries where national PrEP clinical guidelines have been issued, physicians weigh PrEP-related knowledge, attitudes, and experiences when making their decision to prescribe PrEP [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. Some developed countries (eg, the United States, the United Kingdom, and Canada) have examined the attitudes and intentions to prescribe PrEP among clinicians through investigations [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref22">22</xref>]. However, in low- and middle-income countries that do not have national PrEP clinical guidelines, clinicians’ knowledge and willingness to prescribe PrEP has not previously been well-reported.</p>
      <p>Despite the high burden caused by the HIV epidemic, China has been slower to implement PrEP compared to other developed countries [<xref ref-type="bibr" rid="ref2">2</xref>], and few studies have evaluated PrEP use in China. The National Health Commission in China has stated that the country needs to promote PrEP implementation by carrying out nationwide pilot work. The Chinese Center for Disease Control and Prevention has established pilot projects in seven provinces, running from October 2008 to November 2019, to study the feasibility of using PrEP in key populations [<xref ref-type="bibr" rid="ref23">23</xref>]. In addition, China Medical University carried out real-world research of PrEP use among MSM in Shenyang, Beijing, Chongqing, and Shenzhen starting in December 2018; this research concluded in December 2020 [<xref ref-type="bibr" rid="ref24">24</xref>]. In addition to these real-world studies on PrEP implementation, several studies have also shown that Chinese MSM are very willing to use PrEP [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>]. However, the current proportion of PrEP prescriptions in key populations in China is less than 1%, much lower than that in other developed countries (9.5% in the United States and 2.5% in Australia) [<xref ref-type="bibr" rid="ref27">27</xref>]. Clinicians may be reluctant to prescribe PrEP because of limited understanding, thus leading to this low percentage of prescriptions among key groups in China.</p>
      <p>To evaluate PrEP-related attitudes among Chinese clinicians, we conducted a nationwide online survey investigating PrEP-related awareness and attitudes, experience with PrEP, and potential perceived barriers to being willing to prescribe PrEP.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Respondents and Procedures</title>
        <p>Between May and June 2019, we conducted a nationwide anonymous online survey among Chinese HIV clinicians in 31 provinces across six administrative regions. The questionnaire was designed based on current literature of HIV prevention using PrEP in China and with the support of subject matter experts. Clinicians with clinical medical qualifications were eligible for the study if they were currently working in a position at an infectious disease or general hospital that included treating patients living with HIV. We reached out to HIV clinicians through the two largest professional work groups in China on WeChat, the most popular social media app in China: the <italic>National clinicians group focusing on HIV/AIDS</italic> and the <italic>National physician platform for the communication of difficult HIV/AIDS cases</italic>. The administrators of these two WeChat groups confirmed the clinical identities and specialties of their members, and removed any members with nonclinical identifications. Thus, 937 HIV clinicians were eligible for this survey (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). After conducting a pilot study with 50 eligible participants by convenience sampling, which was included in the final results, we evaluated the accuracy and reliability of the questionnaire and modified the survey accordingly. To recruit participants from the remaining eligible clinicians, we posted a brief description of the survey, including the purpose and significance, and links to the questionnaire. The inclusion criteria for this survey were as follows: (1) 18 years of age or older, (2) practicing in an HIV-related medical institution, and (3) treated at least one person living with HIV over the past year. Based on the open ID of WeChat, each individual was allowed to access the online survey only once and the answers could be reviewed or changed before submission. We confirmed the identity of participants through collected self-reported information about medical background and relevant experience. After submission of the completed questionnaire, we provided a subsidy of 30 Yuan (US $4.50) to participants to compensate for the time they spent completing the survey (ie, about 6 to 10 minutes). We used self-reported contact information only to deliver the subsidy. Ethical approval was obtained from the Institutional Review Board of the First Affiliated Hospital of China Medical University ([2019]2015-138-9). In our analysis, we followed the CHERRIES (Checklist for Reporting Results of Internet E-Surveys) guidelines (<xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>).</p>
      </sec>
      <sec>
        <title>Measures</title>
        <p>After providing online informed consent, clinicians completed a voluntary anonymous survey. The questionnaire asked about sociodemographic characteristics; medical background; PrEP-related knowledge, attitudes, and experience; and barriers to prescribing PrEP (<xref ref-type="supplementary-material" rid="app3">Multimedia Appendix 3</xref>). </p>
        <p>The primary outcome of this study was the percentage of clinicians willing to prescribe PrEP to key populations based on their response—<italic>yes</italic> or <italic>no</italic>—to the following question: “Do you think it is necessary for clinicians to provide PrEP to HIV high-risk populations to reduce HIV infections?” The questionnaire also asked about the location, administrative level, and type of hospital where they practiced; their academic title; length of their career; and the average number of patients living with HIV treated in the past month. We then assessed PrEP-related knowledge: whether participants had ever heard of PrEP, their understanding of PrEP, how effective they thought PrEP was for reducing the risk of HIV infections, and whether clinical guidelines for PrEP were available in China. We also asked how often they recommend PrEP to MSM, heterosexual males, heterosexual females, and serodiscordant couples. Respondents were also asked how often they saw high-risk groups actively seeking a PrEP prescription in the past 6 months and potential barriers to them prescribing PrEP.</p>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>Continuous variables were categorized for analysis. Age was grouped into five categories (25, 26-39, 40-49, 50-59, and 60 years), length of career was grouped into three categories (5, 6-10, and 11 years), and average number of patients living with HIV treated per month was also grouped into three categories (50, 51-100, and 101 patients). We described the distribution of the variables by presenting the frequency and percentage. We then conducted univariable and multivariable logistic regression to determine predictors of clinicians being willing to prescribe PrEP and presented crude odds ratios (ORs) and adjusted ORs (aORs) with the corresponding 95% CIs. If there were no clinicians in a specific cell in a comparison, 0.5 was added to all cells to compute the OR [<xref ref-type="bibr" rid="ref28">28</xref>]. Significant predictors in the univariable analysis were included in the multivariable logistic regression. We adjusted for age, gender, ethnicity, and educational background of the clinician in the multivariable model. All statistical analyses were performed with SPSS, version 25.0 (IBM Corp). A two-tailed <italic>P</italic> value of less than .05 was considered statistically significant.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Demographic and Medical Background Characteristics</title>
        <p>A total of 777 eligible clinicians completed the survey, which represented a response rate of 82.9% (777/937) (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Among these 777 survey responses, 50 (6.4%) were from the pilot survey. The median age of the participants was 42 years (IQR 36-48), around half were female (417/777, 53.7%), the most common ethnicity was Han (712/777, 91.6%), and most had a bachelor’s degree or above (743/777, 95.6%). The highest proportion of participants were from South Central China (201/777, 25.9%). The distribution of HIV clinicians surveyed at the province level and economic level is included in <xref ref-type="supplementary-material" rid="app4">Multimedia Appendix 4</xref>. Approximately half of the participants worked in infectious disease hospitals (394/777, 50.7%), and 54.2% (421/777) were deputy chief physicians or chief physicians. Slightly more than half (432/777, 55.6%) had worked for more than 5 years, and 59.3% (461/777) treated an average of 50 or fewer patients living with HIV per month (<xref ref-type="table" rid="table1">Table 1</xref>).</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Demographic and medical background characteristics of clinicians.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="30"/>
            <col width="470"/>
            <col width="470"/>
            <col width="0"/>
            <col width="0"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Characteristic</td>
                <td colspan="2">Value (N=777), n (%)</td>
                <td>
                  <break/>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="6">
                  <bold>Demographic characteristic</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Age (years)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>≤25</td>
                <td>3 (0.4)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>26-39</td>
                <td>302 (38.9)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>40-49</td>
                <td>331 (42.6)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>50-59</td>
                <td>131 (16.9)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>≥60</td>
                <td>10 (1.3)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Ethnicity</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Han</td>
                <td>712 (91.6)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Non-Han</td>
                <td>65 (8.4)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Gender</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Male</td>
                <td>360 (46.3)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Female</td>
                <td>417 (53.7)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Administrative region of China<sup>a</sup></bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>South Central</td>
                <td>201 (25.9)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Southwest</td>
                <td>199 (25.6)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Northeast</td>
                <td>164 (21.1)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td>116 (14.9)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>North</td>
                <td>71 (9.1)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Northwest</td>
                <td>26 (3.3)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Education level</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Technical secondary school</td>
                <td>5 (0.6)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Junior college</td>
                <td>29 (3.7)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Bachelor’s degree or above</td>
                <td>743 (95.6)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="6">
                  <bold>Medical background and experience</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Type of hospital</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>General</td>
                <td>383 (49.3)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Infectious disease</td>
                <td>394 (50.7)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Academic title</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>General physician</td>
                <td>82 (10.6)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Attending doctor</td>
                <td>274 (35.3)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Deputy chief physician</td>
                <td>221 (28.4)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Chief physician</td>
                <td>200 (25.7)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Specialization</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>HIV</td>
                <td>649 (83.5)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>General infectious diseases</td>
                <td>128 (16.5)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Length of career (years)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>≤5</td>
                <td>345 (44.4)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>6-10</td>
                <td>184 (23.7)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>≥11</td>
                <td>248 (31.9)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Average number of patients living with HIV treated per month</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td> ≤50</td>
                <td>461 (59.3)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>51-100</td>
                <td>128 (16.5)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>≥101</td>
                <td>188 (24.2)</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>The 31 provinces were located across six administrative regions.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Self-Rated Knowledge, Attitudes, and Experience Associated With PrEP and Barriers to Prescribing</title>
        <p>In this study, 72.5% (563/777) of the clinicians reported that they had heard of PrEP; however, only 30.8% (239/777) had an excellent or good understanding of PrEP, and 31.9% (248/777) thought that PrEP was extremely effective for reducing the risk of HIV infection. Most clinicians (635/777, 81.7%) considered that PrEP clinical guidelines were not available in China. About half (367/777, 47.2%) believed that it was necessary for clinicians to provide PrEP to HIV high-risk populations to reduce HIV infections and were, thus, defined as willing to prescribe PrEP. Clinicians were more likely to mostly recommend PrEP to serodiscordant couples (439/777, 56.5%), followed by MSM (309/777, 39.8%). Few clinicians (201/777, 25.9%) often or occasionally saw high-risk populations actively seeking PrEP prescriptions. Among the clinicians surveyed, concerns about prescribing PrEP included the following: side effects of treatment (484/777, 62.3%), promoting the occurrence of high-risk sexual behaviors (476/777, 61.3%), and poor adherence to PrEP (383/777, 49.3%) (<xref ref-type="table" rid="table2">Table 2</xref>).</p>
        <p><xref rid="figure1" ref-type="fig">Figure 1</xref> depicts the six administrative regions of China; the percentages of clinicians from these regions who self-reported an excellent or good understanding of PrEP, who found that PrEP was necessary for high-risk groups, and who treated 50 or fewer patients living with HIV per month are shown in <xref ref-type="table" rid="table3">Table 3</xref>.</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Self-rated knowledge, attitudes, experience, and barriers associated with pre-exposure prophylaxis (PrEP).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="30"/>
            <col width="500"/>
            <col width="0"/>
            <col width="440"/>
            <thead>
              <tr valign="top">
                <td colspan="4">Variable</td>
                <td>Value (N=777), n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="5">
                  <bold>Self-rated knowledge</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Heard of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">563 (72.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">214 (27.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Understanding of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Excellent</td>
                <td colspan="2">86 (11.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Good</td>
                <td colspan="2">153 (19.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Low</td>
                <td colspan="2">538 (69.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Effectiveness of PrEP on reducing the risk of HIV infection</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Extremely effective</td>
                <td colspan="2">248 (31.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Possibly effective</td>
                <td colspan="2">106 (13.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Not sure</td>
                <td colspan="2">419 (53.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Ineffective</td>
                <td colspan="2">4 (0.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>PrEP clinical guidelines are available in China</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">142 (18.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">635 (81.7)</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Attitudes towards PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Providing PrEP to high-risk groups</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Necessary</td>
                <td colspan="2">367 (47.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Not necessary</td>
                <td colspan="2">410 (52.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Recommend PrEP prescription to men who have sex with men</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Mostly</td>
                <td colspan="2">309 (39.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Frequently</td>
                <td colspan="2">254 (32.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Seldom</td>
                <td colspan="2">55 (7.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td colspan="2">159 (20.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Recommend PrEP prescription to heterosexual males</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Mostly</td>
                <td colspan="2">59 (7.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Frequently</td>
                <td colspan="2">309 (39.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Seldom</td>
                <td colspan="2">154 (19.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td colspan="2">255 (32.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Recommend PrEP prescription to heterosexual females</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Mostly</td>
                <td colspan="2">58 (7.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Frequently</td>
                <td colspan="2">352 (45.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Seldom</td>
                <td colspan="2">153 (19.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td colspan="2">214 (27.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Recommend PrEP prescription to serodiscordant couples</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Mostly</td>
                <td colspan="2">439 (56.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Frequently</td>
                <td colspan="2">197 (25.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Seldom</td>
                <td colspan="2">58 (7.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td colspan="2">83 (10.7)</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Experience related to PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>See high-risk groups actively seeking PrEP prescriptions</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Often</td>
                <td colspan="2">50 (6.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Occasionally</td>
                <td colspan="2">151 (19.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Seldom</td>
                <td colspan="2">213 (27.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td colspan="2">363 (46.7)</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Perceived barriers to prescribing PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about promoting the occurrence of high-risk sexual behaviors</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">476 (61.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">301 (38.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about</bold>
                  <bold>increasing the risk of other sexually transmitted diseases</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">120 (15.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">657 (84.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about p</bold>
                  <bold>oor adherence to PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">383 (49.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">394 (50.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about</bold>
                  <bold>drug resistance</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">271 (34.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">506 (65.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about</bold>
                  <bold>side effects of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">484 (62.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">293 (37.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about the</bold>
                  <bold>cost of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">462 (59.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">315 (40.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about</bold>
                  <bold>reduction of resources for patients living with HIV</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">123 (15.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">654 (84.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about</bold>
                  <bold>lack of PrEP clinical guidelines</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">140 (18.0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">637 (82.0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="4">
                  <bold>Concerned about l</bold>
                  <bold>ack of drug indications</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">108 (13.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">669 (86.1)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>The six administrative regions of China.</p>
          </caption>
          <graphic xlink:href="publichealth_v7i6e24235_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Pre-exposure prophylaxis (PrEP)–related knowledge, attitudes, and medical experience of clinicians in six administrative regions of China.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="470"/>
            <col width="500"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Variable and regions of China</td>
                <td> Value, n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="3">
                  <bold>Self-reported an excellent or good understanding of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South Central (n=201)</td>
                <td>63 (31.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest (n=199)</td>
                <td>58 (29.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast (n=164)</td>
                <td>49 (29.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East (n=116)</td>
                <td>39 (33.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North (n=71)</td>
                <td>21 (29.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest (n=26)</td>
                <td>9 (34.6)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>PrEP was necessary for high-risk groups</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South Central (n=201)</td>
                <td>95 (47.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest (n=199)</td>
                <td>90 (45.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast (n=164)</td>
                <td>87 (53.0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East (n=116)</td>
                <td>54 (46.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North (n=71)</td>
                <td>26 (36.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest (n=26)</td>
                <td>15 (57.7)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Treated 50 or fewer patients living with HIV per month</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South Central (n=201)</td>
                <td>135 (67.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest (n=199)</td>
                <td>108 (54.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast (n=164)</td>
                <td>90 (54.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East (n=116)</td>
                <td>69 (59.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North (n=71)</td>
                <td>40 (56.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest (n=26)</td>
                <td>19 (73.1)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Predictors of Clinicians Being Willing to Prescribe PrEP</title>
        <p><xref ref-type="table" rid="table4">Table 4</xref> presents the crude ORs of potential factors that could affect clinicians’ willingness to prescribe PrEP. All significant factors in the crude analysis were analyzed using multivariable logistic regression (<xref rid="figure2" ref-type="fig">Figure 2</xref>). After adjusting for age, gender, ethnicity, and educational background, the following clinicians were more likely to be willing to prescribe PrEP: those who had been working for more than 10 years, compared to 5 years or fewer (aOR 2.82, 95% CI 1.96-4.05); those who heard of PrEP (aOR 7.32, 95% CI 4.88-10.97); and those who often had high-risk populations actively requesting PrEP prescriptions, compared to never requesting (aOR 79.35, 95% CI 18.78-335.31).</p>
        <p>Clinicians who had a low understanding of PrEP, compared to an excellent understanding (aOR 0.04, 95% CI 0.02-0.10), or were not sure about the effectiveness of PrEP on reducing the risk of HIV infection, compared to self-reporting PrEP as extremely effective (aOR 0.05, 95% CI 0.04-0.08), were less likely to be willing to prescribe PrEP. In addition, clinicians who were concerned about the lack of PrEP clinical guidelines (aOR 0.47, 95% CI 0.32-0.70) or the lack of drug indications (aOR 0.49, 95% CI 0.32-0.76) were less likely to be willing to prescribe PrEP.</p>
        <table-wrap position="float" id="table4">
          <label>Table 4</label>
          <caption>
            <p>Univariable logistic regression of predictors of clinicians being willing to prescribe pre-exposure prophylaxis (PrEP) (N=777).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="280"/>
            <col width="0"/>
            <col width="150"/>
            <col width="0"/>
            <col width="150"/>
            <col width="0"/>
            <col width="260"/>
            <col width="0"/>
            <col width="130"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Variable</td>
                <td colspan="4">Willing to prescribe PrEP</td>
                <td colspan="2">Odds ratio (95% CI)</td>
                <td><italic>P</italic> value</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="2">Yes (n=367), n (%)</td>
                <td colspan="2">No (n=410), n (%)</td>
                <td colspan="2">
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="10">
                  <bold>Age (years)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>26-39</td>
                <td colspan="2">146 (39.8)</td>
                <td colspan="2">156 (38.0)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≤25</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">3 (0.7)</td>
                <td colspan="2">0.15 (0.01-2.98)</td>
                <td colspan="2">.22</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>40-49</td>
                <td colspan="2">141 (38.4)</td>
                <td colspan="2">190 (46.3)</td>
                <td colspan="2">0.79 (0.58-1.09)</td>
                <td colspan="2">.15</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>50-59</td>
                <td colspan="2">76 (20.7)</td>
                <td colspan="2">55 (13.4)</td>
                <td colspan="2">1.48 (0.98-2.23)</td>
                <td colspan="2">.07</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≥60</td>
                <td colspan="2">4 (1.1)</td>
                <td colspan="2">6 (1.5)</td>
                <td colspan="2">0.71 (0.20-2.58)</td>
                <td colspan="2">.61</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Ethnicity</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Han</td>
                <td colspan="2">337 (91.8)</td>
                <td colspan="2">375 (91.5)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Non-Han</td>
                <td colspan="2">30 (8.2)</td>
                <td colspan="2">35 (8.5)</td>
                <td colspan="2">0.96 (0.57-1.59)</td>
                <td colspan="2">.86</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Administrative region of China</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast</td>
                <td colspan="2">77 (21.0)</td>
                <td colspan="2">87 (21.2)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South Central</td>
                <td colspan="2">106 (28.9)</td>
                <td colspan="2">95 (23.2)</td>
                <td colspan="2">1.26 (0.83-1.91)</td>
                <td colspan="2">.27</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest</td>
                <td colspan="2">89 (24.3)</td>
                <td colspan="2">110 (26.8)</td>
                <td colspan="2">0.91 (0.60-1.38)</td>
                <td colspan="2">.67</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td colspan="2">54 (14.7)</td>
                <td colspan="2">62 (15.1)</td>
                <td colspan="2">0.98 (0.61-1.59)</td>
                <td colspan="2">.95</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North</td>
                <td colspan="2">26 (7.1)</td>
                <td colspan="2">45 (11.0)</td>
                <td colspan="2">0.65 (0.37-1.16)</td>
                <td colspan="2">.14</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest</td>
                <td colspan="2">15 (4.1)</td>
                <td colspan="2">11 (2.7)</td>
                <td colspan="2">1.54 (0.67-3.56)</td>
                <td colspan="2">.31</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Type of hospital</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>General</td>
                <td colspan="2">170 (46.3)</td>
                <td colspan="2">213 (52.0)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Infectious disease</td>
                <td colspan="2">197 (53.7)</td>
                <td colspan="2">197 (48.0)</td>
                <td colspan="2">1.25 (0.95-1.66)</td>
                <td colspan="2">.12</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Academic title</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>General physician</td>
                <td colspan="2">37 (10.1)</td>
                <td colspan="2">45 (11.0)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Attending doctor</td>
                <td colspan="2">142 (38.7)</td>
                <td colspan="2">132 (32.2)</td>
                <td colspan="2">1.31 (0.80-2.15)</td>
                <td colspan="2">.29</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Deputy chief physician</td>
                <td colspan="2">95 (25.9)</td>
                <td colspan="2">126 (30.7)</td>
                <td colspan="2">0.92 (0.55-1.53)</td>
                <td colspan="2">.74</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chief physician</td>
                <td colspan="2">93 (25.3)</td>
                <td colspan="2">107 (26.1)</td>
                <td colspan="2">1.06 (0.63-1.77)</td>
                <td colspan="2">.83</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Length of career (years)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≤5</td>
                <td colspan="2">129 (35.1)</td>
                <td colspan="2">216 (52.7)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>6-10</td>
                <td colspan="2">85 (23.2)</td>
                <td colspan="2">99 (24.1)</td>
                <td colspan="2">1.44 (1.00-2.07)</td>
                <td colspan="2">.05</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≥11</td>
                <td colspan="2">153 (41.7)</td>
                <td colspan="2">95 (23.2)</td>
                <td colspan="2">2.70 (1.93-3.78)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Average number of patients living with HIV</bold>
                  <bold>treated</bold>
                  <bold>per month</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≤50</td>
                <td colspan="2">180 (49.0)</td>
                <td colspan="2">281 (68.5)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>51-100</td>
                <td colspan="2">53 (14.4)</td>
                <td colspan="2">75 (18.3)</td>
                <td colspan="2">1.10 (0.74-1.64)</td>
                <td colspan="2">.63</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≥101</td>
                <td colspan="2">134 (36.5)</td>
                <td colspan="2">54 (13.2)</td>
                <td colspan="2">3.87 (2.68-5.59)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Heard of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">37 (10.1)</td>
                <td colspan="2">177 (43.2)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">330 (89.9)</td>
                <td colspan="2">233 (56.8)</td>
                <td colspan="2">6.78 (4.58-10.03)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>U</bold>
                  <bold>nderstanding</bold>
                  <bold>of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Excellent</td>
                <td colspan="2">79 (21.5)</td>
                <td colspan="2">7 (1.7)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Good</td>
                <td colspan="2">97 (26.4)</td>
                <td colspan="2">56 (13.7)</td>
                <td colspan="2">0.15 (0.07-0.36)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Low</td>
                <td colspan="2">191 (52.0)</td>
                <td colspan="2">347 (84.6)</td>
                <td colspan="2">0.05 (0.02-0.11)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Effectiveness of PrEP on reducing the risk of HIV infection</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Extremely effective</td>
                <td colspan="2">206 (56.1)</td>
                <td colspan="2">42 (10.2)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Possibly effective</td>
                <td colspan="2">68 (18.5)</td>
                <td colspan="2">38 (9.3)</td>
                <td colspan="2">0.37 (0.22-0.61)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not sure</td>
                <td colspan="2">91 (24.8)</td>
                <td colspan="2">328 (80.0)</td>
                <td colspan="2">0.06 (0.04-0.09)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ineffective</td>
                <td colspan="2">2 (0.5)</td>
                <td colspan="2">2 (0.5)</td>
                <td colspan="2">0.20 (0.03-1.49)</td>
                <td colspan="2">.12</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>See high-risk groups actively seeking PrEP prescriptions</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td colspan="2">88 (24.0)</td>
                <td colspan="2">275 (67.1)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seldom</td>
                <td colspan="2">111 (30.2)</td>
                <td colspan="2">102 (24.9)</td>
                <td colspan="2">3.40 (2.37-4.88)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Occasionally</td>
                <td colspan="2">120 (32.7)</td>
                <td colspan="2">31 (7.6)</td>
                <td colspan="2">12.10 (7.62-19.20)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Often</td>
                <td colspan="2">48 (13.1)</td>
                <td colspan="2">2 (0.5)</td>
                <td colspan="2">75.00 (17.86-314.88)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Concerned about promoting the occurrence of high-risk sexual behaviors</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">152 (41.4)</td>
                <td colspan="2">149 (36.3)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">215 (58.6)</td>
                <td colspan="2">261 (63.7)</td>
                <td colspan="2">0.81 (0.61-1.08)</td>
                <td colspan="2">.15</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Concerned about increasing the risk of other sexually transmitted diseases</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">332 (90.5)</td>
                <td colspan="2">325 (79.3)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">35 (9.5)</td>
                <td colspan="2">85 (20.7)</td>
                <td colspan="2">0.40 (0.26-0.62)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Concerned about poor adherence to PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">206 (56.1)</td>
                <td colspan="2">188 (45.9)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">161 (43.9)</td>
                <td colspan="2">222 (54.1)</td>
                <td colspan="2">0.66 (0.50-0.88)</td>
                <td colspan="2">.004</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Concerned about</bold>
                  <bold>side effects of PrEP</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">143 (39.0)</td>
                <td colspan="2">150 (36.6)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">224 (61.0)</td>
                <td colspan="2">260 (63.4)</td>
                <td colspan="2">0.90 (0.68-1.21)</td>
                <td colspan="2">.50</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Concerned about</bold>
                  <bold>lack of PrEP clinical guidelines</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">322 (87.7)</td>
                <td colspan="2">315 (76.8)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">45 (12.3)</td>
                <td colspan="2">95 (23.2)</td>
                <td colspan="2">0.46 (0.32-0.68)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Concerned about lack of drug indications</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">333 (90.7)</td>
                <td colspan="2">336 (82.0)</td>
                <td colspan="2">Reference</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">34 (9.3)</td>
                <td colspan="2">74 (18.0)</td>
                <td colspan="2">0.46 (0.30-0.72)</td>
                <td colspan="2">.001</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Predictors of clinicians being willing to prescribe pre-exposure prophylaxis (PrEP) (N=777). aOR: adjusted odds ratio; Ref.: reference; STD: sexually transmitted disease.</p>
          </caption>
          <graphic xlink:href="publichealth_v7i6e24235_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>This is the first cross-sectional survey to assess the knowledge, attitudes, and experience of HIV clinicians regarding PrEP in China. While the proportion of clinicians surveyed who had heard of PrEP was only slightly less compared to the proportion in other developed countries, understanding of PrEP was much lower in China. Of those surveyed, 72.5% (563/777) had heard of PrEP, which was slightly lower than the percentage in the United States (75% to 96%) [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref18">18</xref>] or in the United Kingdom (77%) [<xref ref-type="bibr" rid="ref19">19</xref>]. Only 30.8% of clinicians (239/777) rated their knowledge of PrEP as good or excellent in our study, which was much lower than previously reported in the United Kingdom (80%) [<xref ref-type="bibr" rid="ref19">19</xref>] and Canada (83.6%) [<xref ref-type="bibr" rid="ref20">20</xref>]. We also found that 47.2% (367/777) of the clinicians were willing to provide PrEP to high-risk groups. In comparison, the pooled prevalence of clinicians who were willing to prescribe PrEP in a meta-analysis was 66% in the United States [<xref ref-type="bibr" rid="ref21">21</xref>], and the proportion found in Canada was 45.4% [<xref ref-type="bibr" rid="ref20">20</xref>]. As there are no PrEP guidelines in China, standardized education and guidance on PrEP is limited, leading to low awareness on PrEP. In addition, as Chinese clinicians have a shorter period of professional training and the education levels of clinicians are relatively lower in remote areas, they may be younger and less experienced when beginning their clinical work compared with experienced clinicians in western countries such as the United States [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref22">22</xref>]. This shorter training period and the lower education levels may limit their PrEP-related knowledge and ability to prescribe PrEP to key populations; thus, this group of clinicians in China should be given priority for training. While this survey also found that about half of Chinese clinicians were willing to prescribe PrEP, their knowledge of PrEP was low compared to other developed countries.</p>
        <p>We found that over half of clinicians (53%) surveyed had seen high-risk groups actively seeking PrEP prescriptions, which is higher than the percentage in the United States (43%) [<xref ref-type="bibr" rid="ref13">13</xref>]. Although Chinese MSM have a limited understanding of PrEP [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>], they are willing to actively seek PrEP prescriptions, with a proportion of 75% in the relevant studies [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref31">31</xref>], while the proportion is about 60% in the United States [<xref ref-type="bibr" rid="ref32">32</xref>].</p>
        <p>Our study also identified the factors that promote or hinder the clinician in being willing to prescribe PrEP. Clinicians in infectious disease hospitals with longer work experience were more likely to be willing to prescribe PrEP for high-risk groups compared to those earlier in their careers. Previous studies have found that clinicians who attended more clinical training sessions were more likely to be willing to prescribe PrEP [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref33">33</xref>]. Thus, these clinicians with the longer careers could have been more likely to prescribe PrEP because they had more targeted clinical training and more extensive clinical experience over time. To increase the willingness to prescribe PrEP among those with less work experience, junior clinicians from general hospitals should specifically undergo PrEP-related training.</p>
        <p>Concerns about the lack of PrEP clinical guidelines and drug indications were two independent barriers to clinicians’ willingness to prescribe PrEP. Clinicians surveyed who were concerned about the lack of PrEP clinical guidelines had about half the odds of being willing to prescribe PrEP compared to those who were not concerned. Thus, development and implementation of PrEP guidelines could substantially increase the number of clinicians who are willing to prescribe PrEP and support the national implementation of PrEP [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. The current Chinese guidelines, published in 2018, for diagnosis and treatment of HIV and AIDS only includes the definition of PrEP [<xref ref-type="bibr" rid="ref35">35</xref>] and does not include any information on PrEP-related inclusion criteria, laboratory testing, PrEP regimens and adherence, or potential side effects. In addition, clinicians who were concerned about lack of PrEP indications were significantly less likely to be willing to prescribe PrEP compared to those who were not concerned. At the time this study was conducted, PrEP was not approved in China for HIV prevention. Thus, clinicians could be held liable for any possible side effects of PrEP, decreasing the number willing to prescribe PrEP. This potential problem was addressed in August 2020 when the National Medical Products Administration of China approved the use of Truvada for HIV prevention. Removing this barrier should lead to more clinicians who are willing to prescribe PrEP.</p>
        <p>The results of this survey can support the future implementation of PrEP in China. First, by determining that concerns about lack of PrEP guidelines and drug indications leads to lower likelihood of being willing to prescribe PrEP, our study suggests that China must implement and promote national PrEP guidelines. While these guidelines are currently under development, it is imperative that they are published and distributed as soon as possible [<xref ref-type="bibr" rid="ref23">23</xref>]. Second, our finding that less experienced clinicians were less likely to prescribe PrEP, combined with previous findings that PrEP-specific training led to clinicians being more willing to prescribe PrEP, suggest that junior clinicians should attend PrEP-specific training sessions [<xref ref-type="bibr" rid="ref36">36</xref>].</p>
      </sec>
      <sec>
        <title>Strengths and Limitations</title>
        <p>This study was the first survey about PrEP-related knowledge, attitudes, and experience and barriers to prescribing PrEP among Chinese clinicians. By determining barriers in prescribing PrEP that must be addressed, our work will help promote PrEP implementation in China. We also conducted an online survey and obtained responses from all 31 provinces, while previous studies have conducted surveys only in a limited geographic area.</p>
        <p>However, our study was limited by the small sample size compared to the total number of HIV clinicians in China, and the clinicians eligible for this study were not randomly sampled from all HIV clinicians in China. We also had few participants from certain provinces; in particular, provinces in the northwest where the proportion of clinicians who self-identified ethnically as Han was low. Therefore, our results are not representative of all HIV clinicians in China. Second, because this study was cross-sectional, we could not evaluate any causal relationship between potential factors and the clinicians’ willingness to prescribe PrEP. Third, as this survey was based on self-reported knowledge and attitudes toward PrEP, their subjective answers could be impacted by response bias. Fourth, while the ratio of HIV clinicians from infectious disease hospitals and from general hospitals is generally 2:1 in China, in our study, the ratio was about 1:1. This lower representation of HIV clinicians from infectious disease hospitals could lead to selection bias and make our results less representative of HIV clinicians working in infectious disease hospitals. Lastly, as HIV prevention regulations vary substantially between different countries, we cannot extrapolate our China-specific results to other countries.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>This survey found that a high proportion of Chinese clinicians had heard of PrEP, but many had limited understanding and incorrect knowledge of PrEP. The current lack of national clinical guidelines and drug indications for PrEP may lead to clinicians being less willing to prescribe PrEP. To address these barriers, the government must publish and promote national PrEP guidelines and clinicians with limited work experience should undergo PrEP-specific training to increase and promote use of PrEP among high-risk groups and reduce the risk of HIV infections.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Participant recruitment for the survey.</p>
        <media xlink:href="publichealth_v7i6e24235_app1.docx" xlink:title="DOCX File , 248 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>CHERRIES (Checklist for Reporting Results of Internet E-Surveys) checklist.</p>
        <media xlink:href="publichealth_v7i6e24235_app2.docx" xlink:title="DOCX File , 27 KB"/>
      </supplementary-material>
      <supplementary-material id="app3">
        <label>Multimedia Appendix 3</label>
        <p>English version of the study questionnaire.</p>
        <media xlink:href="publichealth_v7i6e24235_app3.docx" xlink:title="DOCX File , 28 KB"/>
      </supplementary-material>
      <supplementary-material id="app4">
        <label>Multimedia Appendix 4</label>
        <p>The distribution of HIV clinicians at the province level and economic level.</p>
        <media xlink:href="publichealth_v7i6e24235_app4.docx" xlink:title="DOCX File , 228 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">aOR</term>
          <def>
            <p>adjusted odds ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">CHERRIES</term>
          <def>
            <p>Checklist for Reporting Results of Internet E-Surveys</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">MSM</term>
          <def>
            <p>men who have sex with men</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">OR</term>
          <def>
            <p>odds ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">PrEP</term>
          <def>
            <p>pre-exposure prophylaxis</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">TDF/FTC</term>
          <def>
            <p>tenofovir disoproxil fumarate/emtricitabine</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">WHO</term>
          <def>
            <p>World Health Organization</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The authors would like to thank all clinicians who participated in this study and research staff for their efforts in this study. This work was supported by the National Natural Science Foundation of China (grant 81872674), the Mega-Projects of National Science Research (13th Five-Year Plan; grant 2017ZX10201101-002-007), and the National Science and Technology Major Projects (grant 2018ZX10101-001-001-003). Additional funding support was provided by the Beijing Excellent Talent Plan (grant 2018000021223ZK04). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
        <p>HS, JX, and HD conceived and designed the study. HD collected and cleaned the data. JX and SC analyzed the data and interpreted the results. JX, HW, WT, XH, YJ, WG, SC, ZY, and SL wrote, revised, and interpreted the study results of the manuscript. HD and SC contributed equally as first authors. JX and HS contributed equally as corresponding authors. All authors have read and approved the final manuscript as submitted.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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