<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2021.761706</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Burnout and Well-Being Among Medical Professionals in China: A National Cross-Sectional Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xiao</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/751762/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dong</surname> <given-names>Dong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1098318/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Huanyu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1404002/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Peipei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/587035/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Xiangyan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tian</surname> <given-names>Zhuang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/911086/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jing</surname> <given-names>Zhicheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/569827/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Shuyang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/649443/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>State Key Laboratory of Complex Severe and Rare Diseases, Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Shenzhen Research Institute, The Chinese University of Hong Kong</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Faculty of Medicine, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin</institution>, <addr-line>Hong Kong SAR</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Medical Science Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Helena C. Maltezou, National Public Health Organization (EHEA), Greece</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Luigi De Maria, University of Bari Aldo Moro, Italy; Zhong Li, Nanjing Medical University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Shuyang Zhang <email>shuyangzhang103&#x00040;nrdrs.org</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Occupational Health and Safety, a section of the journal Frontiers in Public Health</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>761706</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Xiao, Dong, Zhang, Chen, Li, Tian, Jing and Zhang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Xiao, Dong, Zhang, Chen, Li, Tian, Jing and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license></permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To determine the profile of Chinese medical professionals with burnout symptoms at the national level and identify the association between capability well-being and burnout.</p></sec>
<sec>
<title>Design and Setting</title>
<p>A cross-sectional study in a nonrandom national sample of medical staff from 6 provinces across western, central and eastern China.</p></sec>
<sec>
<title>Participants</title>
<p>Physicians, medical laboratory scientists, nurses, and general practitioners aged 18 years or above who submitted a completed online questionnaire from June 2019 to January 2020 successfully (<italic>N</italic> = 25,120).</p></sec>
<sec>
<title>Main Outcome Measures</title>
<p>The prevalence of burnout symptoms was assessed by the 22-item Maslach Burnout Inventory-Human Services Survey (MBI-HSS), which consists of three domains: emotional exhaustion (EE), depersonalization (DP), and personal achievement (PA). The overall high burnout was defined as EE score &#x02265;27 or DP score &#x02265;10. The capability well-being was measured by the Investigating Choice Experiments Capability Measure for Adults (ICECAP-A) and the overall ICECAP-A score was calculated using the UK value set, ranging from a score of 0&#x02013;1. Multivariable logistic regression analysis was used to identify the association between well-being and the overall high burnout.</p></sec>
<sec>
<title>Results</title>
<p>Among the 25,120 participants, 60.8% of the participants reported at least one symptom of burnout, whereas 11.2% reported all three symptoms of burnout. In the adjusted model, ICECAP-A score was independently associated with high burnout (AOR = 0.018, 95% CI = 0.015&#x02013;0.022). Medical staff who were males, with shorter working years, working in tertiary hospitals, and those with the specialties of psychiatry, intensive care, emergency medicine, internal medicine, oncology, and pediatrics were at higher risk of reporting burnout symptoms.</p></sec>
<sec>
<title>Conclusion</title>
<p>The burnout symptoms were relatively common among Chinese medical staff and they were found to be independently associated with capability well-being in health professionals. Interventions should be enhanced on vulnerable groups to reduce burnout and promote well-being in future studies.</p></sec></abstract>
<kwd-group>
<kwd>burnout</kwd>
<kwd>capability well-being</kwd>
<kwd>medical professionals</kwd>
<kwd>China</kwd>
<kwd>national-level</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="10"/>
<word-count count="6790"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Physician burn-out is a global crisis (<xref ref-type="bibr" rid="B1">1</xref>), but Chinese doctors may have suffered more. The ratio of doctors to the general population in China is 1:735, which is substantially lower than that in Western countries (where the ratio ranges from 1:280 to 1:640) (<xref ref-type="bibr" rid="B2">2</xref>). Yet the violence against the doctors is much higher (<xref ref-type="bibr" rid="B3">3</xref>). The number of medical staff injured during medical disputes rose from 2,604 in 2002 to 5,519 in 2006 and to 17,000 in 2010 (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). According to the 2016 and 2017 surveys by the Chinese Medical Doctor Association (2018), more than 60% of medical workers surveyed experienced doctor&#x02013;patient conflicts (<xref ref-type="bibr" rid="B6">6</xref>). More than 63 percent of all hospitals across the country have had their personnel injured, disabled, or even killed by disgruntled patients and their relatives (<xref ref-type="bibr" rid="B7">7</xref>). It is therefore not surprising that Chinese medical staff has suffered from a large variety of physical and mental health problems, including burnout (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Burnout was newly included the 11th Revision of International Classification of Diseases (ICD-11) in May 2019 as a multi-dimensional syndrome consisting of emotional exhaustion, depersonalization, and diminished feelings of personal accomplishment (<xref ref-type="bibr" rid="B9">9</xref>). Burnout and occupational stress among Chinese medical professionals has attracted international attention nowadays (<xref ref-type="bibr" rid="B10">10</xref>). Previous studies (<xref ref-type="bibr" rid="B11">11</xref>) showed that the prevalence of burnout symptoms among Chinese doctors ranged from 66.5% to 87.8%. However, few study has been conducted to assess the prevalence of burnout among Chinese medical professionals at the national level (<xref ref-type="bibr" rid="B12">12</xref>). Unlike depression or occupational fatigue, people with burnout are exposed to high levels of work-related stress (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Previous studies (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>) have shown that among medical staff, burnout has adverse effects on health conditions and overall well-being, which could lead to depressive symptoms and suicidal ideations. Moreover, burnout has been associated with job dissatisfaction, frequent job turnover, and increased medical malpractice or errors (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Hence, burnout is an underlying barrier to the well-being of medical staff and the quality of healthcare.</p>
<p>Traditionally, well-being is a health-related measurement of quality of life comprising physiological, psychological and behavioral dimensions (<xref ref-type="bibr" rid="B21">21</xref>). A recent systematic review (<xref ref-type="bibr" rid="B15">15</xref>) synthesized 19 studies and found that job burnout could cause negative impact on well-being among human service workers including healthcare providers. However, health-related well-being may not be able to capture multi-dimensional outcomes such as interests of carers, family or society (<xref ref-type="bibr" rid="B22">22</xref>). Under the circumstances, the Sen&#x00027;s (<xref ref-type="bibr" rid="B23">23</xref>) capability approach has been developed to provide more comprehensive measures of well-being, one of which is the Investigating Choice Experiments Capability Measure for Adults (ICECAP-A). ICECAP-A is a general instrument developed in the UK to measure capability well-being (<xref ref-type="bibr" rid="B24">24</xref>). It is intended for measuring a person&#x00027;s ability to achieve important &#x02018;functioning&#x02019;, which consists of five attributes: stability, attachment, autonomy, achievement and enjoyment (<xref ref-type="bibr" rid="B19">19</xref>). So far, to our best knowledge, no studies have been performed to examine the relationship between burnout and capability well-being among medical staff in China or in other countries. The aim of this study was to explore the profile of Chinese medical professionals with burnout syndromes at the national level, and to identify the association between capability well-being and burnout among Chinese medical staff.</p></sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Design and Participants</title>
<p>This is a cross-sectional study at the national level performed by the Peking Union Medical College Hospital (PUMCH) and the Chinese University of Hong Kong (CUHK) from June 2019 to January 2020. The study was conducted across the hospitals in both urban and rural health care systems in China. To improve the sample representativeness, 6 of the 31 provincial-level regions in mainland China were surveyed, namely, Shandong, Shanxi, Shaanxi, Jiangsu, Jiangxi, and Sichuan. These selected provinces represented diverse geographical locations (eastern, central, and western China), socioeconomic status (high, middle, and low gross domestic product per capita), and number of health technical staff per 1,000 persons.</p>
<p>The Institutional Review Board of Peking Union Medical College Hospital approved this study. Physicians, medical laboratory scientists, nurses and general practitioners aged 18 years or above from around 400 hospitals in the six provinces were invited to participate in this project. The questionnaire was uploaded to an online survey platform named Wen Juan Xing. Link to the questionnaire was distributed along with the invitation letter. Although the survey mainly involved a non-random convenience sampling method, the total number of participants accounts for 1.3% of all medical professionals from the six provinces, which makes the sample size considerably large enough. All the participants were anonymized and de-identified. The participants must click the &#x0201C;consent to participate&#x0201D; button at the beginning of the survey. Otherwise, the survey would be stopped immediately, and the participants would be taken away from the questionnaire. The exclusion criteria for the valid responses were as follows: total completion time &#x0003C;420 s (420 s generally represented the values for completing questionnaire at or above the 95th-percentile time of general population), selection of the same options throughout the survey.</p></sec>
<sec>
<title>Study Measures</title>
<p>The demographic characteristics of Chinese medical staff were investigated in the questionnaire including gender, age, birthplace, monthly income, education, working title, working years, hospital class, and specialty. The participants were also asked to rate on the level of 1&#x02013;4 (1 = full capability, 4 = no capability) for the measurement of well-being using the ICECAP-A. The overall ICECAP score was calculated using the UK value set, ranging from a score of 0&#x02013;1 (<xref ref-type="bibr" rid="B22">22</xref>). The use of the Chinese version of ICECAP-A has obtained permission from the ICECAP team at the Institute of Applied Health Research at the University of Birmingham.</p>
<p>The 22-item Maslach Burnout Inventory-Human Services Survey (MBI-HSS) was used to measure burnout symptoms in this study (<xref ref-type="bibr" rid="B25">25</xref>), which encompasses three domains with corresponding subscales: emotional exhaustion (EE), depersonalization (DP), and personal achievement (PA). Participants were asked to respond using a seven-point Likert scale ranging from a score of 0&#x02013;6 (0 = never, 6 = everyday). According to previous literature (<xref ref-type="bibr" rid="B26">26</xref>), the high score in each domain was designated as follows: EE score &#x02265;27, DP score &#x02265;10, and PA score &#x02264;33. The overall high burnout was defined as: EE score &#x02265;27 or DP score &#x02265;10 (<xref ref-type="bibr" rid="B27">27</xref>). Cronbach&#x00027;s alpha coefficient was used for the reliability analysis of the MBI-HSS, with a value &#x0003E;0.7 indicating a high level of internal consistency (<xref ref-type="bibr" rid="B28">28</xref>).</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>Frequencies, percentages, means, and standard deviations were analyzed for descriptive data based on regional locations (i.e., eastern, central, and western China). Univariable analysis was performed to evaluate the association between the characteristics of Chinese medical professionals and burnout symptoms. Independent sample <italic>t</italic>-tests were used for continuous variables to compare differences, and Fisher&#x00027;s exact tests or chi-square testes were used for categorical variables as appropriate. In the multivariable regression analysis, adjusted odds ratios (AOR) were reported with 95% confidence intervals and a <italic>p</italic> &#x0003C; 0.05 was considered statistically significant. The variance inflation factor (VIF) for each independent variable in the multivariable regression model was examined to eliminate collinearity. Statistical analysis was performed using SPSS, version 25.0 (Armonk, NY, USA: IBM; 2019) by two independent researchers.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Of the 53,636 eligible health professionals who opened the web link, 28,745 (53.6%) completed the survey. After the exclusion of missing and invalid data, 25,120 (87.4%) participants were ultimately included in the study. Among them, 73.7% were females, 51.3% were aged 26&#x02013;35 years, and 87.2% reported a bachelor or higher degree. The majority (88.5%) of the participants work in tertiary hospitals and more than half (58.9%) of them have worked &#x0003C;10 years. <xref ref-type="table" rid="T1">Table 1</xref> shows more detailed information on the demographic characteristics of the study sample.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristics of medical professionals in China.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Total</bold><break/><bold><italic>n</italic> &#x0003D; 25,120</bold></th>
<th valign="top" align="center"><bold>Eastern</bold><break/><bold><italic>n</italic> &#x0003D; 8,047</bold></th>
<th valign="top" align="center"><bold>Central</bold><break/><bold><italic>n</italic> &#x0003D; 7,639</bold></th>
<th valign="top" align="center"><bold>Western</bold><break/><bold><italic>n</italic> &#x0003D; 9,434</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" colspan="4" style="border-top: thin solid #000000;"><bold>Number (percent)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">6,613 (26.3)</td>
<td valign="top" align="center">2,081 (25.9)</td>
<td valign="top" align="center">1,909 (25.0)</td>
<td valign="top" align="center">2,623 (27.8)</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">18,507 (73.7)</td>
<td valign="top" align="center">5,966 (74.1)</td>
<td valign="top" align="center">5,730 (75.0)</td>
<td valign="top" align="center">6,811 (72.2)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Age</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">18&#x02013;25</td>
<td valign="top" align="center">2,406 (9.6)</td>
<td valign="top" align="center">635 (7.9)</td>
<td valign="top" align="center">555 (7.3)</td>
<td valign="top" align="center">1,216 (12.9)</td>
</tr>
<tr>
<td valign="top" align="left">26&#x02013;35</td>
<td valign="top" align="center">12,874 (51.3)</td>
<td valign="top" align="center">4,207 (52.3)</td>
<td valign="top" align="center">3,803 (49.8)</td>
<td valign="top" align="center">4,864 (51.6)</td>
</tr>
<tr>
<td valign="top" align="left">36&#x02013;45</td>
<td valign="top" align="center">6,369 (25.4)</td>
<td valign="top" align="center">2,093 (26.0)</td>
<td valign="top" align="center">2,006 (26.3)</td>
<td valign="top" align="center">2,270 (24.1)</td>
</tr>
<tr>
<td valign="top" align="left">46&#x02013;55</td>
<td valign="top" align="center">2,951 (11.7)</td>
<td valign="top" align="center">961 (11.9)</td>
<td valign="top" align="center">1,066 (14.0)</td>
<td valign="top" align="center">924 (9.8)</td>
</tr>
<tr>
<td valign="top" align="left">56&#x02013;65</td>
<td valign="top" align="center">483 (1.9)</td>
<td valign="top" align="center">142 (1.8)</td>
<td valign="top" align="center">196 (2.6)</td>
<td valign="top" align="center">145 (1.5)</td>
</tr>
<tr>
<td valign="top" align="left">66&#x0002B;</td>
<td valign="top" align="center">37 (0.1)</td>
<td valign="top" align="center">9 (0.1)</td>
<td valign="top" align="center">13 (0.2)</td>
<td valign="top" align="center">15 (0.2)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Birthplace</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Urban area</td>
<td valign="top" align="center">19,043 (75.8)</td>
<td valign="top" align="center">6,193 (77.0)</td>
<td valign="top" align="center">6,360 (83.3)</td>
<td valign="top" align="center">6,490 (68.8)</td>
</tr>
<tr>
<td valign="top" align="left">Rural area</td>
<td valign="top" align="center">6,044 (24.1)</td>
<td valign="top" align="center">1,844 (22.9)</td>
<td valign="top" align="center">1,269 (16.6)</td>
<td valign="top" align="center">2,931 (31.1)</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">33 (0.1)</td>
<td valign="top" align="center">10 (0.1)</td>
<td valign="top" align="center">10 (0.1)</td>
<td valign="top" align="center">13 (0.1)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Monthly income</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;5,000</td>
<td valign="top" align="center">8,922 (35.5)</td>
<td valign="top" align="center">1,221 (15.2)</td>
<td valign="top" align="center">3,506 (45.9)</td>
<td valign="top" align="center">4,195 (44.5)</td>
</tr>
<tr>
<td valign="top" align="left">5,000&#x02013;10,000</td>
<td valign="top" align="center">14,196 (56.5)</td>
<td valign="top" align="center">5,709 (70.9)</td>
<td valign="top" align="center">3,867 (50.6)</td>
<td valign="top" align="center">4,620 (49.0)</td>
</tr>
<tr>
<td valign="top" align="left">10,000&#x02013;30,000</td>
<td valign="top" align="center">1,874 (7.5)</td>
<td valign="top" align="center">1,095 (13.6)</td>
<td valign="top" align="center">227 (3.0)</td>
<td valign="top" align="center">552 (5.9)</td>
</tr>
<tr>
<td valign="top" align="left">30,000&#x02013;50,000</td>
<td valign="top" align="center">43 (0.2)</td>
<td valign="top" align="center">10 (0.1)</td>
<td valign="top" align="center">11 (0.1)</td>
<td valign="top" align="center">22 (0.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;50,000</td>
<td valign="top" align="center">85 (0.3)</td>
<td valign="top" align="center">12 (0.1)</td>
<td valign="top" align="center">28 (0.4)</td>
<td valign="top" align="center">45 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Province</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Shandong</td>
<td valign="top" align="center">3,005 (12.0)</td>
<td valign="top" align="center">3,005 (37.3)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0 (0.0)</td>
</tr>
<tr>
<td valign="top" align="left">Jiangsu</td>
<td valign="top" align="center">5,042 (20.1)</td>
<td valign="top" align="center">5,042 (62.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0 (0.0)</td>
</tr>
<tr>
<td valign="top" align="left">Jiangxi</td>
<td valign="top" align="center">2,838 (11.3)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">2,838 (37.2)</td>
<td valign="top" align="center">0 (0.0)</td>
</tr>
<tr>
<td valign="top" align="left">Shanxi</td>
<td valign="top" align="center">4,801 (19.1)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">4,801 (62.8)</td>
<td valign="top" align="center">0 (0.0)</td>
</tr>
<tr>
<td valign="top" align="left">Sichuan</td>
<td valign="top" align="center">1,824 (7.3)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1,824 (19.3)</td>
</tr>
<tr>
<td valign="top" align="left">Shanxi</td>
<td valign="top" align="center">7,610 (30.3)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">7,610 (80.7)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Education</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Secondary vocational school</td>
<td valign="top" align="center">209 (0.8)</td>
<td valign="top" align="center">32 (0.4)</td>
<td valign="top" align="center">35 (0.5)</td>
<td valign="top" align="center">142 (1.5)</td>
</tr>
<tr>
<td valign="top" align="left">Three-year college</td>
<td valign="top" align="center">3,020 (12.0)</td>
<td valign="top" align="center">440 (5.5)</td>
<td valign="top" align="center">774 (10.1)</td>
<td valign="top" align="center">1,806 (19.1)</td>
</tr>
<tr>
<td valign="top" align="left">Bachelor&#x00027;s degree</td>
<td valign="top" align="center">15,134 (60.2)</td>
<td valign="top" align="center">4,629 (57.5)</td>
<td valign="top" align="center">5,012 (65.6)</td>
<td valign="top" align="center">5,493 (58.2)</td>
</tr>
<tr>
<td valign="top" align="left">Master&#x00027;s degree</td>
<td valign="top" align="center">5,898 (23.5)</td>
<td valign="top" align="center">2,481 (30.8)</td>
<td valign="top" align="center">1,748 (22.9)</td>
<td valign="top" align="center">1,669 (17.7)</td>
</tr>
<tr>
<td valign="top" align="left">Doctorate/postdoc</td>
<td valign="top" align="center">859 (3.4)</td>
<td valign="top" align="center">465 (5.8)</td>
<td valign="top" align="center">70 (0.9)</td>
<td valign="top" align="center">324 (3.4)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Title</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">11,307 (45.0)</td>
<td valign="top" align="center">3,028 (37.6)</td>
<td valign="top" align="center">3,297 (43.2)</td>
<td valign="top" align="center">4,982 (52.8)</td>
</tr>
<tr>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">8,563 (34.1)</td>
<td valign="top" align="center">3,123 (38.8)</td>
<td valign="top" align="center">2,741 (35.9)</td>
<td valign="top" align="center">2,699 (28.6)</td>
</tr>
<tr>
<td valign="top" align="left">Vice-senior</td>
<td valign="top" align="center">3,310 (13.2)</td>
<td valign="top" align="center">1,205 (15.0)</td>
<td valign="top" align="center">1,035 (13.5)</td>
<td valign="top" align="center">1,070 (11.3)</td>
</tr>
<tr>
<td valign="top" align="left">Senior</td>
<td valign="top" align="center">1,316 (5.2)</td>
<td valign="top" align="center">571 (7.1)</td>
<td valign="top" align="center">433 (5.7)</td>
<td valign="top" align="center">312 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">624 (2.5)</td>
<td valign="top" align="center">120 (1.5)</td>
<td valign="top" align="center">133 (1.7)</td>
<td valign="top" align="center">371 (3.9)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Working years</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 5</td>
<td valign="top" align="center">7,627 (30.4)</td>
<td valign="top" align="center">2,212 (27.5)</td>
<td valign="top" align="center">1,897 (24.8)</td>
<td valign="top" align="center">3,518 (37.3)</td>
</tr>
<tr>
<td valign="top" align="left">6&#x02013;10</td>
<td valign="top" align="center">7,155 (28.5)</td>
<td valign="top" align="center">2,422 (30.1)</td>
<td valign="top" align="center">2,222 (29.1)</td>
<td valign="top" align="center">2,511 (26.6)</td>
</tr>
<tr>
<td valign="top" align="left">11&#x02013;15</td>
<td valign="top" align="center">3,932 (15.7)</td>
<td valign="top" align="center">1,226 (15.2)</td>
<td valign="top" align="center">1,385 (18.1)</td>
<td valign="top" align="center">1,321 (14.0)</td>
</tr>
<tr>
<td valign="top" align="left">16&#x02013;20</td>
<td valign="top" align="center">2,113 (8.4)</td>
<td valign="top" align="center">736 (9.1)</td>
<td valign="top" align="center">618 (8.1)</td>
<td valign="top" align="center">759 (8.0)</td>
</tr>
<tr>
<td valign="top" align="left">21&#x02013;25</td>
<td valign="top" align="center">1,887 (7.5)</td>
<td valign="top" align="center">648 (8.1)</td>
<td valign="top" align="center">612 (8.0)</td>
<td valign="top" align="center">627 (6.6)</td>
</tr>
<tr>
<td valign="top" align="left">26&#x02013;30</td>
<td valign="top" align="center">1,441 (5.7)</td>
<td valign="top" align="center">490 (6.1)</td>
<td valign="top" align="center">517 (6.8)</td>
<td valign="top" align="center">434 (4.6)</td>
</tr>
<tr>
<td valign="top" align="left">30&#x0002B;</td>
<td valign="top" align="center">965 (3.8)</td>
<td valign="top" align="center">313 (3.9)</td>
<td valign="top" align="center">388 (5.1)</td>
<td valign="top" align="center">264 (2.8)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Hospital class</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Tertiary hospital</td>
<td valign="top" align="center">22,220 (88.5)</td>
<td valign="top" align="center">8,039 (99.9)</td>
<td valign="top" align="center">7,625 (99.8)</td>
<td valign="top" align="center">6,226 (66.0)</td>
</tr>
<tr>
<td valign="top" align="left">Secondary hospital</td>
<td valign="top" align="center">3,081 (12.3)</td>
<td valign="top" align="center">6 (0.1)</td>
<td valign="top" align="center">8 (0.1)</td>
<td valign="top" align="center">3,001 (31.8)</td>
</tr>
<tr>
<td valign="top" align="left">Primary hospital</td>
<td valign="top" align="center">221 (0.9)</td>
<td valign="top" align="center">2 (0.0)</td>
<td valign="top" align="center">6 (0.1)</td>
<td valign="top" align="center">207 (2.2)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Specialty</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anesthesiology</td>
<td valign="top" align="center">588 (2.3)</td>
<td valign="top" align="center">129 (1.6)</td>
<td valign="top" align="center">146 (1.9)</td>
<td valign="top" align="center">313 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left">Dermatology</td>
<td valign="top" align="center">324 (1.3)</td>
<td valign="top" align="center">119 (1.5)</td>
<td valign="top" align="center">111 (1.5)</td>
<td valign="top" align="center">94 (1.0)</td>
</tr>
<tr>
<td valign="top" align="left">Emergency medicine</td>
<td valign="top" align="center">797 (3.2)</td>
<td valign="top" align="center">207 (2.6)</td>
<td valign="top" align="center">312 (4.1)</td>
<td valign="top" align="center">278 (2.9)</td>
</tr>
<tr>
<td valign="top" align="left">Infectious diseases</td>
<td valign="top" align="center">796 (3.2)</td>
<td valign="top" align="center">161 (2.0)</td>
<td valign="top" align="center">271 (3.5)</td>
<td valign="top" align="center">364 (3.9)</td>
</tr>
<tr>
<td valign="top" align="left">Intensive care</td>
<td valign="top" align="center">928 (3.7)</td>
<td valign="top" align="center">407 (5.1)</td>
<td valign="top" align="center">327 (4.3)</td>
<td valign="top" align="center">194 (2.1)</td>
</tr>
<tr>
<td valign="top" align="left">Internal medicine</td>
<td valign="top" align="center">6,983 (27.8)</td>
<td valign="top" align="center">2,781 (34.6)</td>
<td valign="top" align="center">2,043 (26.7)</td>
<td valign="top" align="center">2,159 (22.9)</td>
</tr>
<tr>
<td valign="top" align="left">Laboratory medicine</td>
<td valign="top" align="center">720 (2.9)</td>
<td valign="top" align="center">53 (0.7)</td>
<td valign="top" align="center">192 (2.5)</td>
<td valign="top" align="center">475 (5.0)</td>
</tr>
<tr>
<td valign="top" align="left">Obstetrics and gynecology</td>
<td valign="top" align="center">1,670 (6.6)</td>
<td valign="top" align="center">472 (5.9)</td>
<td valign="top" align="center">406 (5.3)</td>
<td valign="top" align="center">792 (8.4)</td>
</tr>
<tr>
<td valign="top" align="left">Oncology</td>
<td valign="top" align="center">578 (2.3)</td>
<td valign="top" align="center">257 (3.2)</td>
<td valign="top" align="center">188 (2.5)</td>
<td valign="top" align="center">133 (1.4)</td>
</tr>
<tr>
<td valign="top" align="left">Ophthalmology</td>
<td valign="top" align="center">464 (1.8)</td>
<td valign="top" align="center">116 (1.4)</td>
<td valign="top" align="center">211 (2.8)</td>
<td valign="top" align="center">137 (1.5)</td>
</tr>
<tr>
<td valign="top" align="left">Orthopedic surgery, medical cosmetology</td>
<td valign="top" align="center">89 (0.4)</td>
<td valign="top" align="center">22 (0.3)</td>
<td valign="top" align="center">30 (0.4)</td>
<td valign="top" align="center">37 (0.4)</td>
</tr>
<tr>
<td valign="top" align="left">Otolaryngology</td>
<td valign="top" align="center">327 (1.3)</td>
<td valign="top" align="center">118 (1.5)</td>
<td valign="top" align="center">92 (1.2)</td>
<td valign="top" align="center">117 (1.2)</td>
</tr>
<tr>
<td valign="top" align="left">Pain medicine</td>
<td valign="top" align="center">118 (0.5)</td>
<td valign="top" align="center">26 (0.3)</td>
<td valign="top" align="center">31 (0.4)</td>
<td valign="top" align="center">61 (0.6)</td>
</tr>
<tr>
<td valign="top" align="left">Pathology</td>
<td valign="top" align="center">87 (0.3)</td>
<td valign="top" align="center">10 (0.1)</td>
<td valign="top" align="center">40 (0.5)</td>
<td valign="top" align="center">37 (0.4)</td>
</tr>
<tr>
<td valign="top" align="left">Pediatrics</td>
<td valign="top" align="center">1,742 (6.9)</td>
<td valign="top" align="center">534 (6.6)</td>
<td valign="top" align="center">682 (8.9)</td>
<td valign="top" align="center">526 (5.6)</td>
</tr>
<tr>
<td valign="top" align="left">Psychiatry</td>
<td valign="top" align="center">255 (1.0)</td>
<td valign="top" align="center">53 (0.7)</td>
<td valign="top" align="center">8 (0.1)</td>
<td valign="top" align="center">194 (2.1)</td>
</tr>
<tr>
<td valign="top" align="left">Radiology</td>
<td valign="top" align="center">1,363 (5.4)</td>
<td valign="top" align="center">261 (3.2)</td>
<td valign="top" align="center">282 (3.7)</td>
<td valign="top" align="center">820 (8.7)</td>
</tr>
<tr>
<td valign="top" align="left">Sports medicine, rehabilitation</td>
<td valign="top" align="center">729 (2.9)</td>
<td valign="top" align="center">182 (2.3)</td>
<td valign="top" align="center">187 (2.4)</td>
<td valign="top" align="center">360 (3.8)</td>
</tr>
<tr>
<td valign="top" align="left">Stomatology</td>
<td valign="top" align="center">337 (1.3)</td>
<td valign="top" align="center">86 (1.1)</td>
<td valign="top" align="center">110 (1.4)</td>
<td valign="top" align="center">141 (1.5)</td>
</tr>
<tr>
<td valign="top" align="left">Surgery</td>
<td valign="top" align="center">3,757 (15.0)</td>
<td valign="top" align="center">1,653 (20.5)</td>
<td valign="top" align="center">1,186 (15.5)</td>
<td valign="top" align="center">918 (9.7)</td>
</tr>
<tr>
<td valign="top" align="left">Traditional Chinese medicine</td>
<td valign="top" align="center">491 (2.0)</td>
<td valign="top" align="center">64 (0.8)</td>
<td valign="top" align="center">154 (2.0)</td>
<td valign="top" align="center">273 (2.9)</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">1,977 (7.9)</td>
<td valign="top" align="center">336 (4.2)</td>
<td valign="top" align="center">630 (8.2)</td>
<td valign="top" align="center">1,011 (10.7)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The prevalence rates of burnout symptoms among Chinese medical staff are shown in <xref ref-type="table" rid="T2">Table 2</xref>. Among the 25,120 participants, 35.5% of them experienced high EE, 30.0% experienced high DP, and 38.4% had a low sense of PA. Overall, 60.8% of the participants reported at least one symptom of burnout, whereas 11.2% reported all three symptoms of burnout. The Cronbach&#x00027;s alpha coefficients for EE, DP, and PA subscales were 0.891, 0.812, and 0.866, respectively, indicating a high level of reliability. <xref ref-type="table" rid="T3">Table 3</xref> shows the frequencies and percentages of the participants responding to ICECAP-A. For all attributes, the second-best level was the most commonly selected option, ranging from 43.5% for achievement to 63.4% for enjoyment.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Measures of burnout among medical professionals in China.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>MBI-HSS scale</bold></th>
<th valign="top" align="center"><bold>Total</bold></th>
<th valign="top" align="center"><bold>Eastern</bold></th>
<th valign="top" align="center"><bold>Central</bold></th>
<th valign="top" align="center"><bold>Western</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>EE subscale, range 0&#x02013;54</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mean score (SD)</td>
<td valign="top" align="center">23 (11.6)</td>
<td valign="top" align="center">23.5 (11.4)</td>
<td valign="top" align="center">23 (11.8)</td>
<td valign="top" align="center">22.7 (11.5)</td>
</tr>
<tr>
<td valign="top" align="left">Score 0&#x02013;26<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref> (%)</td>
<td valign="top" align="center">16,213 (64.5)</td>
<td valign="top" align="center">5,069 (63.0)</td>
<td valign="top" align="center">4,935 (64.6)</td>
<td valign="top" align="center">6,209 (65.8)</td>
</tr>
<tr>
<td valign="top" align="left">Score 27&#x02013;54<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref> (%)</td>
<td valign="top" align="center">8,907 (35.5)</td>
<td valign="top" align="center">2,978 (37.0)</td>
<td valign="top" align="center">2,704 (35.4)</td>
<td valign="top" align="center">3,225 (34.2)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>DP subscale, range 0&#x02013;30</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mean score (SD)</td>
<td valign="top" align="center">7.1 (6.0)</td>
<td valign="top" align="center">7.5 (6.1)</td>
<td valign="top" align="center">7.0 (6.0)</td>
<td valign="top" align="center">6.9 (5.9)</td>
</tr>
<tr>
<td valign="top" align="left">Score 0&#x02013;9<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref> (%)</td>
<td valign="top" align="center">17,583 (70.0)</td>
<td valign="top" align="center">5,427 (67.4)</td>
<td valign="top" align="center">5,392 (70.6)</td>
<td valign="top" align="center">6,764 (71.7)</td>
</tr>
<tr>
<td valign="top" align="left">Score 10&#x02013;30<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref> (%)</td>
<td valign="top" align="center">7,537 (30.0)</td>
<td valign="top" align="center">2,620 (32.6)</td>
<td valign="top" align="center">2,247 (29.4)</td>
<td valign="top" align="center">2,670 (28.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>PA subscale, range 0&#x02013;48</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mean score (SD)</td>
<td valign="top" align="center">34.8 (9.6)</td>
<td valign="top" align="center">35.6 (9.1)</td>
<td valign="top" align="center">34.4 (9.9)</td>
<td valign="top" align="center">34.6 (9.7)</td>
</tr>
<tr>
<td valign="top" align="left">Score 34&#x02013;48<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref> (%)</td>
<td valign="top" align="center">15,474 (61.6)</td>
<td valign="top" align="center">5,216 (64.8)</td>
<td valign="top" align="center">4,509 (59.0)</td>
<td valign="top" align="center">5,749 (60.9)</td>
</tr>
<tr>
<td valign="top" align="left">Score 0&#x02013;33<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref> (%)</td>
<td valign="top" align="center">9,646 (38.4)</td>
<td valign="top" align="center">2,831 (35.2)</td>
<td valign="top" align="center">3,130 (41.0)</td>
<td valign="top" align="center">3,685 (39.1)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Overall high burnout<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></bold></td>
</tr>
<tr>
<td valign="top" align="left">EE/DP/PA (%)</td>
<td valign="top" align="center">15,285 (60.8)</td>
<td valign="top" align="center">4,800 (59.6)</td>
<td valign="top" align="center">4,768 (62.4)</td>
<td valign="top" align="center">5,717 (60.6)</td>
</tr>
<tr>
<td valign="top" align="left">EE &#x00026; DP&#x00026; PA (%)</td>
<td valign="top" align="center">2,802 (11.2)</td>
<td valign="top" align="center">957 (11.9)</td>
<td valign="top" align="center">872 (11.4)</td>
<td valign="top" align="center">973 (10.3)</td>
</tr>
<tr>
<td valign="top" align="left">EE/DP (%)</td>
<td valign="top" align="center">11,110 (44.2)</td>
<td valign="top" align="center">3,723 (46.3)</td>
<td valign="top" align="center">3,373 (44.2)</td>
<td valign="top" align="center">4,014 (42.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MBI-HSS, Maslach Burnout Inventory-Human Services Survey; EE, Emotional exhaustion; DP, Depersonalization; PA, Personal accomplishment; SD, Standard deviation</italic>.</p>
<fn id="TN1"><label>a</label><p><italic>High burnout</italic>.</p></fn>
<fn id="TN2"><label>b</label><p><italic>Low or moderate burnout</italic>.</p></fn>
<fn id="TN3"><label>c</label><p><italic>Three frequently used definitions were employed to determine overall high burnout</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Responses to the ICECAP-A scale among Chinese medical professionals.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Attributes</bold></th>
<th valign="top" align="center"><bold>Overall</bold></th>
<th valign="top" align="center"><bold>Eastern</bold></th>
<th valign="top" align="center"><bold>Central</bold></th>
<th valign="top" align="center"><bold>Western</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" colspan="4" style="border-top: thin solid #000000;"><bold>Number (percent)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Stability</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">5,270 (21.0)</td>
<td valign="top" align="center">1,582 (19.7)</td>
<td valign="top" align="center">1,703 (22.3)</td>
<td valign="top" align="center">1,985 (21.0)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">13,842 (55.1)</td>
<td valign="top" align="center">4,834 (60.1)</td>
<td valign="top" align="center">4,030 (52.8)</td>
<td valign="top" align="center">4,978 (52.8)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">5,306 (21.1)</td>
<td valign="top" align="center">1,478 (18.4)</td>
<td valign="top" align="center">1,653 (21.6)</td>
<td valign="top" align="center">2,175 (23.1)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">702 (2.8)</td>
<td valign="top" align="center">153 (1.9)</td>
<td valign="top" align="center">253 (3.3)</td>
<td valign="top" align="center">296 (3.1)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Attachment</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">6,254 (24.9)</td>
<td valign="top" align="center">2,093 (26.0)</td>
<td valign="top" align="center">1,952 (25.6)</td>
<td valign="top" align="center">2,209 (23.4)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">15,401 (61.3)</td>
<td valign="top" align="center">5,059 (62.9)</td>
<td valign="top" align="center">4,547 (59.5)</td>
<td valign="top" align="center">5,795 (61.4)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">3,304 (13.2)</td>
<td valign="top" align="center">857 (10.6)</td>
<td valign="top" align="center">1,077 (14.1)</td>
<td valign="top" align="center">1,370 (14.5)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">161 (0.6)</td>
<td valign="top" align="center">38 (0.5)</td>
<td valign="top" align="center">63 (0.8)</td>
<td valign="top" align="center">60 (0.6)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Autonomy</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">7,391 (29.4)</td>
<td valign="top" align="center">2,377 (29.5)</td>
<td valign="top" align="center">2,242 (29.3)</td>
<td valign="top" align="center">2,772 (29.4)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">13,967 (55.6)</td>
<td valign="top" align="center">4,701 (58.4)</td>
<td valign="top" align="center">4,141 (54.2)</td>
<td valign="top" align="center">5,125 (54.3)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">3,684 (14.7)</td>
<td valign="top" align="center">947 (11.8)</td>
<td valign="top" align="center">1,226 (16.0)</td>
<td valign="top" align="center">1,511 (16.0)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">78 (0.3)</td>
<td valign="top" align="center">22 (0.3)</td>
<td valign="top" align="center">30 (0.4)</td>
<td valign="top" align="center">26 (0.3)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Achievement</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">4,111 (16.4)</td>
<td valign="top" align="center">1,208 (15.0)</td>
<td valign="top" align="center">1,383 (18.1)</td>
<td valign="top" align="center">1,520 (16.1)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">10,917 (43.5)</td>
<td valign="top" align="center">3,699 (46.0)</td>
<td valign="top" align="center">3,252 (42.6)</td>
<td valign="top" align="center">3,966 (42.0)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">9,856 (39.2)</td>
<td valign="top" align="center">3,075 (38.2)</td>
<td valign="top" align="center">2,927 (38.3)</td>
<td valign="top" align="center">3,854 (40.9)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">236 (0.9)</td>
<td valign="top" align="center">65 (0.8)</td>
<td valign="top" align="center">77 (1.0)</td>
<td valign="top" align="center">94 (1.0)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Enjoyment</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">6,446 (25.7)</td>
<td valign="top" align="center">2,067 (25.7)</td>
<td valign="top" align="center">1,996 (26.1)</td>
<td valign="top" align="center">2,383 (25.3)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">15,931 (63.4)</td>
<td valign="top" align="center">5,194 (64.5)</td>
<td valign="top" align="center">4,727 (61.9)</td>
<td valign="top" align="center">6,010 (63.7)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">2,564 (10.2)</td>
<td valign="top" align="center">743 (9.2)</td>
<td valign="top" align="center">853 (11.2)</td>
<td valign="top" align="center">968 (10.3)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">179 (0.7)</td>
<td valign="top" align="center">43 (0.5)</td>
<td valign="top" align="center">63 (0.8)</td>
<td valign="top" align="center">73 (0.8)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN4"><label>a</label><p><italic>Refers to the capacity score at each attribute level</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The characteristics of Chinese medical professionals with or without an overall high burnout were compared in <xref ref-type="table" rid="T4">Table 4</xref>. Of the 11,110 (44.2%) participants with an overall high burnout, the average ICECAP-A score (mean &#x000B1; SD) was 0.7568 &#x000B1; 0.1622, which was lower than those of participants without an overall high burnout (0.8318 &#x000B1; 0.1154). Significant differences between participants with or without an overall high burnout were found in gender, age, location, education, working title, working years, hospital class, specialty and ICECAP-A score (<italic>p</italic> &#x0003C; 0.001); these variables were further included in the multivariable logistic regression model. However, the variables of age and working years were found to have a value of VIF larger than 10, which indicated the occurrence of collinearity. Therefore, we only included the variable of working years instead of both variables in the multivariable regression model. In the final reported model, all the variables were found to have a value of VIF below 5, which indicated no problem of collinearity.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Characteristics of Chinese medical professionals associated with high burnout<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>High burnout</bold><break/><bold><italic>n</italic> &#x0003D; 11,110</bold></th>
<th valign="top" align="center"><bold>Low/moderate burnout</bold><break/><bold><italic>n</italic> &#x0003D; 14,010</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value<xref ref-type="table-fn" rid="TN7"><sup>c</sup></xref></bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-top: thin solid #000000;"><bold>Number (percent)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">3,177 (28.6)</td>
<td valign="top" align="center">3,436 (24.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">7,933 (71.4)</td>
<td valign="top" align="center">10,574 (75.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Age</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">18&#x02013;25</td>
<td valign="top" align="center">1,062 (9.6)</td>
<td valign="top" align="center">1,344 (9.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">26&#x02013;35</td>
<td valign="top" align="center">5,967 (53.7)</td>
<td valign="top" align="center">6,907 (49.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">36&#x02013;45</td>
<td valign="top" align="center">2,824 (25.4)</td>
<td valign="top" align="center">3,545 (25.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">46&#x02013;55</td>
<td valign="top" align="center">1,081 (9.7)</td>
<td valign="top" align="center">1,870 (13.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">56&#x02013;65</td>
<td valign="top" align="center">158 (1.4)</td>
<td valign="top" align="center">325 (2.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">66&#x0002B;</td>
<td valign="top" align="center">18 (0.2)</td>
<td valign="top" align="center">19 (0.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Birthplace</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.938</td>
</tr>
<tr>
<td valign="top" align="left">Urban area</td>
<td valign="top" align="center">8,413 (75.7)</td>
<td valign="top" align="center">10,630 (75.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Rural area</td>
<td valign="top" align="center">2,683 (24.1)</td>
<td valign="top" align="center">3,361 (24.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">14 (0.1)</td>
<td valign="top" align="center">19 (0.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Monthly income</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;5,000</td>
<td valign="top" align="center">4,022 (36.2)</td>
<td valign="top" align="center">4,900 (35.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">5,000&#x02013;10,000</td>
<td valign="top" align="center">6,246 (56.2)</td>
<td valign="top" align="center">7,950 (56.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">10,000&#x02013;30,000</td>
<td valign="top" align="center">794 (7.1)</td>
<td valign="top" align="center">1,080 (7.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">30,000&#x02013;50,000</td>
<td valign="top" align="center">15 (0.1)</td>
<td valign="top" align="center">28 (0.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;50,000</td>
<td valign="top" align="center">33 (0.3)</td>
<td valign="top" align="center">52 (0.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Location</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Eastern</td>
<td valign="top" align="center">3,723 (33.5)</td>
<td valign="top" align="center">4,324 (30.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Central</td>
<td valign="top" align="center">3,373 (30.4)</td>
<td valign="top" align="center">4,266 (30.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Western</td>
<td valign="top" align="center">4,014 (36.1)</td>
<td valign="top" align="center">5,420 (38.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Education</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Secondary vocational school</td>
<td valign="top" align="center">69 (0.6)</td>
<td valign="top" align="center">140 (1.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Three-year college</td>
<td valign="top" align="center">1,262 (11.4)</td>
<td valign="top" align="center">1,758 (12.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Bachelor&#x00027;s degree</td>
<td valign="top" align="center">6,555 (59.0)</td>
<td valign="top" align="center">8,579 (61.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Master&#x00027;s degree</td>
<td valign="top" align="center">2,801 (25.2)</td>
<td valign="top" align="center">3,097 (22.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Doctorate/postdoc</td>
<td valign="top" align="center">423 (3.8)</td>
<td valign="top" align="center">436 (3.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Title</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">5,110 (46.0)</td>
<td valign="top" align="center">6,197 (44.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">3,928 (35.4)</td>
<td valign="top" align="center">4,635 (33.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Vice-senior</td>
<td valign="top" align="center">1,343 (12.1)</td>
<td valign="top" align="center">1,967 (14.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Senior</td>
<td valign="top" align="center">472 (4.2)</td>
<td valign="top" align="center">844 (6.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">257 (2.3)</td>
<td valign="top" align="center">367 (2.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Working years</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 5</td>
<td valign="top" align="center">3,490 (31.4)</td>
<td valign="top" align="center">4,137 (29.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">6&#x02013;10</td>
<td valign="top" align="center">3,358 (30.2)</td>
<td valign="top" align="center">3,797 (27.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">11&#x02013;15</td>
<td valign="top" align="center">1,838 (16.5)</td>
<td valign="top" align="center">2,094 (14.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">16&#x02013;20</td>
<td valign="top" align="center">902 (8.1)</td>
<td valign="top" align="center">1,211 (8.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">21&#x02013;25</td>
<td valign="top" align="center">712 (6.4)</td>
<td valign="top" align="center">1,175 (8.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">26&#x02013;30</td>
<td valign="top" align="center">490 (4.4)</td>
<td valign="top" align="center">951 (6.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">30&#x0002B;</td>
<td valign="top" align="center">320 (2.9)</td>
<td valign="top" align="center">645 (4.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Hospital class</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Tertiary hospital</td>
<td valign="top" align="center">9,757 (87.8)</td>
<td valign="top" align="center">12,133 (86.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Secondary hospital</td>
<td valign="top" align="center">1,294 (11.6)</td>
<td valign="top" align="center">1,721 (12.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Primary hospital</td>
<td valign="top" align="center">59 (0.5)</td>
<td valign="top" align="center">156 (1.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Specialty</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Anesthesiology</td>
<td valign="top" align="center">245 (2.2)</td>
<td valign="top" align="center">343 (2.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Dermatology</td>
<td valign="top" align="center">123 (1.1)</td>
<td valign="top" align="center">201 (1.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Emergency medicine</td>
<td valign="top" align="center">406 (3.7)</td>
<td valign="top" align="center">391 (2.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Infectious diseases</td>
<td valign="top" align="center">310 (2.8)</td>
<td valign="top" align="center">486 (3.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Intensive care</td>
<td valign="top" align="center">466 (4.2)</td>
<td valign="top" align="center">462 (3.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Internal medicine</td>
<td valign="top" align="center">3,409 (30.7)</td>
<td valign="top" align="center">3,574 (25.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Laboratory medicine</td>
<td valign="top" align="center">207 (1.9)</td>
<td valign="top" align="center">513 (3.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Obstetrics and gynecology</td>
<td valign="top" align="center">682 (6.1)</td>
<td valign="top" align="center">988 (7.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Oncology</td>
<td valign="top" align="center">282 (2.5)</td>
<td valign="top" align="center">296 (2.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ophthalmology</td>
<td valign="top" align="center">177 (1.6)</td>
<td valign="top" align="center">287 (2.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Orthopedic surgery, medical cosmetology</td>
<td valign="top" align="center">30 (0.3)</td>
<td valign="top" align="center">59 (0.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Otolaryngology</td>
<td valign="top" align="center">141 (1.3)</td>
<td valign="top" align="center">186 (1.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pain medicine</td>
<td valign="top" align="center">45 (0.4)</td>
<td valign="top" align="center">73 (0.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pathology</td>
<td valign="top" align="center">25 (0.2)</td>
<td valign="top" align="center">62 (0.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pediatrics</td>
<td valign="top" align="center">804 (7.2)</td>
<td valign="top" align="center">938 (6.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Psychiatry</td>
<td valign="top" align="center">122 (1.1)</td>
<td valign="top" align="center">133 (0.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Radiology</td>
<td valign="top" align="center">543 (4.9)</td>
<td valign="top" align="center">820 (5.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sports medicine, rehabilitation</td>
<td valign="top" align="center">272 (2.4)</td>
<td valign="top" align="center">457 (3.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Stomatology</td>
<td valign="top" align="center">108 (1.0)</td>
<td valign="top" align="center">229 (1.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Surgery</td>
<td valign="top" align="center">1,779 (16.0)</td>
<td valign="top" align="center">1,978 (14.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Traditional Chinese medicine</td>
<td valign="top" align="center">182 (1.6)</td>
<td valign="top" align="center">309 (2.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">752 (6.8)</td>
<td valign="top" align="center">1,225 (8.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>ICECAP-A score<xref ref-type="table-fn" rid="TN6"><sup>b</sup></xref> [mean (SD)]</bold></td>
<td valign="top" align="center">0.7568 (0.1622)</td>
<td valign="top" align="center">0.8318 (0.1154)</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN5"><label>a</label><p><italic>The definition of high burnout was determined by a MBI-HSS EE score &#x02265;27 or a DP score &#x02265;10</italic>.</p></fn>
<fn id="TN6"><label>b</label><p><italic>The overall ICECAP-A score was calculated using the UK value set ranging from 0 to 1</italic>.</p></fn>
<fn id="TN7"><label>c</label><p><italic>Fisher&#x00027;s exact test or chi-square test was adopted as appropriate</italic>.</p></fn>
<p><italic>Bold values indicate statistical significance which is defined as p &#x0003C; 0.05</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Factors associated with an overall high burnout were identified in the multivariable logistic regression analysis (<xref ref-type="table" rid="T5">Table 5</xref>). Males were more likely to suffer from high burnout than females (AOR = 0.763, 95% CI = 0.716&#x02013;0.815 for females vs. males). Working longer than 15 years was significantly associated with lower risk of high burnout (AOR = 0.870, 95% CI = 0.766&#x02013;0.988 for working years 16&#x02013;20 vs. &#x02264; 5). Medical professionals working in tertiary hospitals were at greater risk of reporting high burnout than those working in primary hospitals (AOR = 2.003, 95% CI = 1.456&#x02013;2.789 for tertiary hospitals vs. primary hospitals). Comparing to the specialty of anesthesiology, the specialty with the highest risk of burnout was psychiatry (AOR = 1.605, 95% CI = 1.175&#x02013;2.191), followed by intensive care (AOR = 1.514, 95% CI = 1.217&#x02013;1.886), emergency medicine (AOR = 1.471, 95% CI = 1.174&#x02013;1.844), internal medicine (AOR = 1.469, 95% CI = 1.228&#x02013;1.759), oncology (AOR = 1.441, 95% CI = 1.131&#x02013;1.837), and pediatrics (AOR = 1.317, 95% CI = 1.080&#x02013;1.607). In the adjusted multivariable regression model, ICECAP-A score was independently associated with high burnout (AOR = 0.018, 95% CI = 0.015&#x02013;0.022).</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Multivariable logistic regression analysis of predictors of high burnout among Chinese medical professionals<xref ref-type="table-fn" rid="TN8"><sup>a</sup></xref>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>AOR</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value<xref ref-type="table-fn" rid="TN9"><sup>b</sup></xref></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Gender (female: male)</bold></td>
<td valign="top" align="center">0.763</td>
<td valign="top" align="center">0.716&#x02013;0.815</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Location (ref: central)</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Eastern</td>
<td valign="top" align="center">1.084</td>
<td valign="top" align="center">1.013&#x02013;1.160</td>
<td valign="top" align="center"><bold>0.019</bold></td>
</tr>
<tr>
<td valign="top" align="left">Western</td>
<td valign="top" align="center">0.981</td>
<td valign="top" align="center">0.912&#x02013;1.055</td>
<td valign="top" align="center">0.604</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Education (ref: secondary vocational school)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Three-year college</td>
<td valign="top" align="center">1.230</td>
<td valign="top" align="center">0.895&#x02013;1.704</td>
<td valign="top" align="center">0.207</td>
</tr>
<tr>
<td valign="top" align="left">Bachelor&#x00027;s degree</td>
<td valign="top" align="center">1.270</td>
<td valign="top" align="center">0.928&#x02013;1.751</td>
<td valign="top" align="center">0.139</td>
</tr>
<tr>
<td valign="top" align="left">Master&#x00027;s degree</td>
<td valign="top" align="center">1.271</td>
<td valign="top" align="center">0.921&#x02013;1.768</td>
<td valign="top" align="center">0.149</td>
</tr>
<tr>
<td valign="top" align="left">Doctorate/postdoc</td>
<td valign="top" align="center">1.460</td>
<td valign="top" align="center">1.027&#x02013;2.089</td>
<td valign="top" align="center"><bold>0.037</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Title (ref: primary)</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">1.038</td>
<td valign="top" align="center">0.961&#x02013;1.122</td>
<td valign="top" align="center">0.340</td>
</tr>
<tr>
<td valign="top" align="left">Vice-senior</td>
<td valign="top" align="center">0.961</td>
<td valign="top" align="center">0.849&#x02013;1.088</td>
<td valign="top" align="center">0.532</td>
</tr>
<tr>
<td valign="top" align="left">Senior</td>
<td valign="top" align="center">0.881</td>
<td valign="top" align="center">0.738&#x02013;1.050</td>
<td valign="top" align="center">0.158</td>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">0.832</td>
<td valign="top" align="center">0.697&#x02013;0.991</td>
<td valign="top" align="center"><bold>0.040</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Working years (ref: &#x02264;5)</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">6&#x02013;10</td>
<td valign="top" align="center">1.019</td>
<td valign="top" align="center">0.945&#x02013;1.099</td>
<td valign="top" align="center">0.624</td>
</tr>
<tr>
<td valign="top" align="left">11&#x02013;15</td>
<td valign="top" align="center">1.021</td>
<td valign="top" align="center">0.925&#x02013;1.128</td>
<td valign="top" align="center">0.678</td>
</tr>
<tr>
<td valign="top" align="left">16&#x02013;20</td>
<td valign="top" align="center">0.870</td>
<td valign="top" align="center">0.766&#x02013;0.988</td>
<td valign="top" align="center"><bold>0.032</bold></td>
</tr>
<tr>
<td valign="top" align="left">21&#x02013;25</td>
<td valign="top" align="center">0.726</td>
<td valign="top" align="center">0.630&#x02013;0.837</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">26&#x02013;30</td>
<td valign="top" align="center">0.655</td>
<td valign="top" align="center">0.556&#x02013;0.771</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;30</td>
<td valign="top" align="center">0.686</td>
<td valign="top" align="center">0.567&#x02013;0.829</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Hospital class (ref: primary hospital)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Secondary hospital</td>
<td valign="top" align="center">1.897</td>
<td valign="top" align="center">1.374&#x02013;2.650</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Tertiary hospital</td>
<td valign="top" align="center">2.003</td>
<td valign="top" align="center">1.456&#x02013;2.789</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Specialty (ref: anesthesiology)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Dermatology</td>
<td valign="top" align="center">0.953</td>
<td valign="top" align="center">0.711&#x02013;1.275</td>
<td valign="top" align="center">0.748</td>
</tr>
<tr>
<td valign="top" align="left">Emergency medicine</td>
<td valign="top" align="center">1.471</td>
<td valign="top" align="center">1.174&#x02013;1.844</td>
<td valign="top" align="center"><bold>0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Infectious diseases</td>
<td valign="top" align="center">0.998</td>
<td valign="top" align="center">0.794&#x02013;1.253</td>
<td valign="top" align="center">0.985</td>
</tr>
<tr>
<td valign="top" align="left">Intensive care</td>
<td valign="top" align="center">1.514</td>
<td valign="top" align="center">1.217&#x02013;1.886</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Internal medicine</td>
<td valign="top" align="center">1.469</td>
<td valign="top" align="center">1.228&#x02013;1.759</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Laboratory medicine</td>
<td valign="top" align="center">0.622</td>
<td valign="top" align="center">0.489&#x02013;0.791</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Obstetrics and gynecology</td>
<td valign="top" align="center">1.130</td>
<td valign="top" align="center">0.925&#x02013;1.382</td>
<td valign="top" align="center">0.232</td>
</tr>
<tr>
<td valign="top" align="left">Oncology</td>
<td valign="top" align="center">1.441</td>
<td valign="top" align="center">1.131&#x02013;1.837</td>
<td valign="top" align="center"><bold>0.003</bold></td>
</tr>
<tr>
<td valign="top" align="left">Ophthalmology</td>
<td valign="top" align="center">1.011</td>
<td valign="top" align="center">0.779&#x02013;1.311</td>
<td valign="top" align="center">0.935</td>
</tr>
<tr>
<td valign="top" align="left">Orthopedic surgery, medical cosmetology</td>
<td valign="top" align="center">0.810</td>
<td valign="top" align="center">0.489&#x02013;1.316</td>
<td valign="top" align="center">0.402</td>
</tr>
<tr>
<td valign="top" align="left">Otolaryngology</td>
<td valign="top" align="center">1.153</td>
<td valign="top" align="center">0.866&#x02013;1.534</td>
<td valign="top" align="center">0.330</td>
</tr>
<tr>
<td valign="top" align="left">Pain medicine</td>
<td valign="top" align="center">0.866</td>
<td valign="top" align="center">0.562&#x02013;1.320</td>
<td valign="top" align="center">0.506</td>
</tr>
<tr>
<td valign="top" align="left">Pathology</td>
<td valign="top" align="center">0.604</td>
<td valign="top" align="center">0.357&#x02013;0.997</td>
<td valign="top" align="center">0.054</td>
</tr>
<tr>
<td valign="top" align="left">Pediatrics</td>
<td valign="top" align="center">1.317</td>
<td valign="top" align="center">1.080&#x02013;1.607</td>
<td valign="top" align="center"><bold>0.007</bold></td>
</tr>
<tr>
<td valign="top" align="left">Psychiatry</td>
<td valign="top" align="center">1.605</td>
<td valign="top" align="center">1.175&#x02013;2.191</td>
<td valign="top" align="center"><bold>0.003</bold></td>
</tr>
<tr>
<td valign="top" align="left">Radiology</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">0.814&#x02013;1.229</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Sports medicine, rehabilitation</td>
<td valign="top" align="center">0.883</td>
<td valign="top" align="center">0.700&#x02013;1.114</td>
<td valign="top" align="center">0.294</td>
</tr>
<tr>
<td valign="top" align="left">Stomatology</td>
<td valign="top" align="center">0.743</td>
<td valign="top" align="center">0.553&#x02013;0.994</td>
<td valign="top" align="center"><bold>0.046</bold></td>
</tr>
<tr>
<td valign="top" align="left">Surgery</td>
<td valign="top" align="center">1.349</td>
<td valign="top" align="center">1.122&#x02013;1.625</td>
<td valign="top" align="center"><bold>0.002</bold></td>
</tr>
<tr>
<td valign="top" align="left">Traditional Chinese medicine</td>
<td valign="top" align="center">0.919</td>
<td valign="top" align="center">0.710&#x02013;1.189</td>
<td valign="top" align="center">0.521</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">1.030</td>
<td valign="top" align="center">0.846&#x02013;1.255</td>
<td valign="top" align="center">0.770</td>
</tr>
<tr>
<td valign="top" align="left"><bold>ICECAP-A score</bold></td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">0.015&#x02013;0.022</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN8"><label>a</label><p><italic>The variables with p-values &#x0003C;0&#x000B7;05 in the univariable analysis were further included in the multivariable logistic regression analysis</italic>.</p></fn>
<fn id="TN9"><label>b</label><p><italic>Bold values indicate statistical significance which is defined as p &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Burnout symptoms has been common in health professionals since its recognition in the 1970s (<xref ref-type="bibr" rid="B29">29</xref>). Regardless of specialties among physicians and nurses, the rates of burnout symptoms ranged from 25 to 60% in western countries (<xref ref-type="bibr" rid="B30">30</xref>&#x02013;<xref ref-type="bibr" rid="B33">33</xref>). Based on the findings in the current study, the prevalence of Chinese medical staff exposed to at least one burnout symptom was 60.8%, which was relatively higher than that reported by western countries. To the best knowledge of us, this is the first large-scale national study assessing burnout symptoms among medical staff across eastern, central and western China, which has increased the representativeness and generalizability of the research findings. The majority of prior studies on the evaluations of burnout focused on a group of health professionals with a specific specialty or occupational setting (<xref ref-type="bibr" rid="B34">34</xref>&#x02013;<xref ref-type="bibr" rid="B37">37</xref>). This study has assessed burnout symptoms in health professionals across diverse specialties and occupations, which has contributed to an extended picture of the situation of burnout among medical staff.</p>
<p>In this study, capability well-being was found to be independently associated with the overall high burnout after adjustment for the characteristics of Chinese medical staff. This finding indicated that burnout can not only affect the health-related well-being of medical staff, but also lead to a decline in one&#x00027;s ability to achieve more comprehensive outcomes defined by the ICECAP-A. Although the ICECAP-A is a newly developed instrument for measuring capability well-being in UK, the validity of the Chinese version of ICECAP-A has been proved (<xref ref-type="bibr" rid="B38">38</xref>), making it appropriate for measuring the general well-being in China. This study was one of the first attempts to explore the association between capability well-being and burnout, which could benefit social care decision-making for policymakers. Nevertheless, the mechanism on how burnout symptoms can affect capability well-being among medical staff is warranted to be studied in both research and clinical settings.</p>
<p>In this study, males were found to be at higher risk for burnout symptoms than females among Chinese medical staff. However, it appear to be inconsistent worldwide. A multinational cross-sectional study investigating 16 Asian countries/regions showed that gender was not associated with burnout among physicians and nurses (<xref ref-type="bibr" rid="B39">39</xref>). Several studies (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>) conducted in North America indicated that female physicians were at increased risk of burnout symptoms than males; whereas a systematic review revealed that male students experienced greater emotional exhaustion and depersonalization than females in China (<xref ref-type="bibr" rid="B42">42</xref>). A possible interpretation is that men are likely to receive higher societal expectations, promotion stress than women from a culture perspective (<xref ref-type="bibr" rid="B43">43</xref>), which may lead to higher job burnout. Work-life integration could be another important impact on gender differences in burnout among medical staff. A national study conducted in the US indicated that female physicians were less satisfied with work-life integration than males (<xref ref-type="bibr" rid="B44">44</xref>). Compared with female health professionals in western countries, Chinese female medical staff may obtain more assistance from their parents, including childcare and housekeeping, owing to the distinctions in cultural tradition and family composition. Nonetheless, the satisfaction with work-life integration among Chinese medical staff and its association with burnout need to be further explored. Besides, the COVID-19 pandemic could also impact the level of peritraumatic distress and burnout among medical professionals, which should not be neglected.</p>
<p>Previous studies have shown that heavy workload is associated with increased risk of burnout among physicians and nurses (<xref ref-type="bibr" rid="B21">21</xref>), which is consistent with the findings in the current study. In this study, the study revealed the significantly negative correlation between length of employment and prevalence of burnout among Chinese medical staff. It is indicated that medical staff in their early career stage are more vulnerable to burnout symptoms. This is probably because young medical staff serving as trainees or junior positions are generally more overloaded with work (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>). We also found that medical staff who work in tertiary hospitals were more likely to report burnout symptoms than those work in primary hospitals. In China, the effectiveness of primary care gatekeeping is limited (<xref ref-type="bibr" rid="B45">45</xref>), thus patients are more willing to visit tertiary hospitals to see a doctor as long as it is accessible and affordable. Under the circumstances, the heavy workload of medical staff in tertiary hospitals contributed to the high rates of burnout. Furthermore, the risk of reporting burnout symptoms varied across different clinical specialties according to the results in this study, which mirrored the unique workload characteristics in different occupational settings. The specialties with the increased work burden such as psychiatry, intensive care, emergency medicine, and internal medicine, were at the higher possibility of reporting burnout symptoms. Interventions at both individual and organizational levels should be strengthened on the medical staff with a heavy workload to reduce burnout (<xref ref-type="bibr" rid="B46">46</xref>), especially those working with shorter years, in tertiary hospitals, and with specific specialties.</p>
<p>To our knowledge, this is the first national study in China to explore the relationship between burnout and well-being of medical professionals. It finds that males, working in tertiary hospitals, and practicing psychiatry, intensive care, emergency medicine, internal medicine, oncology, and pediatrics were at a higher risk of reporting burnout symptoms; while working longer could decrease the risk of burnout. Moreover, higher burnout was associated with lower well-being. Despite these strengths, our study has some limitations that should be noted. First, the study sample was recruited by convenience sampling methods, resulting in the selection bias of the participants by the inclusion of more young medical staff and those working in tertiary hospitals and primary care facilities. Nevertheless, this large-scale study was performed at the national level with the study cohort selected from 6 representative provinces across eastern, central and western China. Thus, we believe the study sample in the current study is able to represent the general population of Chinese medical staff. Second, the overall ICECAP-A score was calculated based on the UK value set, which may not reflect the real-world value of the Chinese population. Further studies are needed to develop Chinese value sets for measuring capability well-being. Third, our study is lack of distinctions among different occupational settings, which resulted in difficulty comparing the prevalence of burnout between different occupational groups within the study or with other studies at national and global levels. To make a proper comparison, more efforts are required to focus on the distinctions of medical staff by occupations for the analysis of burnout in future studies.</p>
<p>In conclusion, the prevalence rates of burnout symptoms were relatively high among Chinese medical staff. Despite the negative effect on health-related well-being, burnout is also found to be independently associated with capability well-being in health professionals. Interventions should be enhanced on the vulnerable groups of medical staff to reduce burnout, including males, those with shorter working years, working in tertiary hospitals, and specialties with heavy workload.</p></sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories.</p></sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Peking Union Medical College Hospital Ethics Committee approved the study (Ref No.: SK-814). The patients/participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7">
<title>Author Contributions</title>
<p>SZ and DD developed the idea. YX, DD, and SZ designed the study. DD, YX, XL, ZT, ZJ, and PC were responsible for data collection. YX, HZ, and DD performed the statistical analysis and drafted the manuscript. SZ revised it. All authors had full access to all of the data in the study, can take responsibility for the integrity of the data and the accuracy of the data analysis, and read and approved the final manuscript.</p></sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This study was funded by the 13th Five-Year National Science and Technology Major Project for New Drugs (No: 2019ZX09734001), National Key Research and Development Program of China (2016YFC0901500), and the Beijing Natural Science Foundation (7192155). The funding source had no role in the study design, in the collection, analysis, interpretation of data, in the writing of the report, and in the decision to submit the article for publication.</p></sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
</body>
<back>
<ack><p>We are grateful to all participants in the survey. We especially thank Mr. Linkang Li of China Alliance of Rare Diseases for his kind support in the survey.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>The Lancet</collab></person-group>. <article-title>Physician burnout: a global crisis</article-title>. <source>Lancet.</source> (<year>2019</year>) <volume>394</volume>:<fpage>93</fpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(19)31573-9</pub-id><pub-id pub-id-type="pmid">31305255</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Yang</surname> <given-names>W</given-names></name> <name><surname>Cho</surname> <given-names>S</given-names></name></person-group>. <article-title>Gender differences in job strain, effort-reward imbalance, and health functioning among Chinese physicians</article-title>. <source>Soc Sci Med.</source> (<year>2006</year>) <volume>62</volume>:<fpage>1066</fpage>&#x02013;<lpage>77</lpage>. <pub-id pub-id-type="doi">10.1016/j.socscimed.2005.07.011</pub-id><pub-id pub-id-type="pmid">16120473</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hesketh</surname> <given-names>T</given-names></name> <name><surname>Wu</surname> <given-names>D</given-names></name> <name><surname>Mao</surname> <given-names>L</given-names></name> <name><surname>Ma</surname> <given-names>N</given-names></name></person-group>. <article-title>Violence against doctors in China</article-title>. <source>BMJ.</source> (<year>2012</year>) <volume>345</volume>:<fpage>e5730</fpage>. <pub-id pub-id-type="doi">10.1136/bmj.e5730</pub-id><pub-id pub-id-type="pmid">22960376</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liebman</surname> <given-names>BL</given-names></name></person-group>. <article-title>Malpractice mobs: medical dispute resolution in China</article-title>. <source>Columbia Law Rev.</source> (<year>2012</year>) <volume>113</volume>:<fpage>181</fpage>&#x02013;<lpage>264</lpage>. <pub-id pub-id-type="doi">10.7916/D8445M3B</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>Anon</collab></person-group>. <article-title>Heartless attacks: medical staff are fearful as anger against their profession grows</article-title>. <source>The Economist</source> (2012, July 21). Retrieved from: <ext-link ext-link-type="uri" xlink:href="https://www.economist.com/china/2012/07/21/heartless-attacks">https://www.economist.com/china/2012/07/21/heartless-attacks</ext-link> (accessed January 3, 2022).</citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>Chinese Medical Doctor Association</collab></person-group>. <source>White Book on the Practising Situation of Chinese Doctors</source>. (<year>2021</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.cmda.net/rdxw2/11526.jhtml">http://www.cmda.net/rdxw2/11526.jhtml</ext-link></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="web"><person-group person-group-type="author"><name><surname>Jiang</surname> <given-names>J</given-names></name></person-group>. <article-title>In some Chinese hospitals, violence is out of control and it&#x00027;s doctors who are at risk</article-title>. <source>Time</source> (<year>2011</year>). Retrieved from: <ext-link ext-link-type="uri" xlink:href="http://content.time.com/time/world/article/0,8599,2096630,00.html">http://content.time.com/time/world/article/0,8599,2096630,00.html</ext-link> (accessed January 3, 2022).</citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wen</surname> <given-names>J</given-names></name> <name><surname>Cheng</surname> <given-names>Y</given-names></name> <name><surname>Hu</surname> <given-names>X</given-names></name> <name><surname>Yuan</surname> <given-names>P</given-names></name> <name><surname>Hao</surname> <given-names>T</given-names></name> <name><surname>Shi</surname> <given-names>Y</given-names></name></person-group>. <article-title>Workload, burnout, and medical mistakes among physicians in China: a cross-sectional study</article-title>. <source>Biosci Trends.</source> (<year>2016</year>) <volume>10</volume>:<fpage>27</fpage>&#x02013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.5582/bst.2015.01175</pub-id><pub-id pub-id-type="pmid">26961213</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>Anon</collab></person-group>. <source>Burn-Out an &#x0201C;Occupational Phenomenon&#x0201D;: International Classification of Diseases</source>. (<year>2020</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.who.int/news/item/28-05-2019-burn-out-an-occupational-phenomenon-international-classification-of-diseases">https://www.who.int/news/item/28-05-2019-burn-out-an-occupational-phenomenon-international-classification-of-diseases</ext-link></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><article-title>Violence against doctors: why China? Why now? What next?</article-title> <source>Lancet</source>. (<year>2014</year>). <volume>383</volume>:<fpage>1013</fpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(14)60501-8</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lo</surname> <given-names>D</given-names></name> <name><surname>Wu</surname> <given-names>F</given-names></name> <name><surname>Chan</surname> <given-names>M</given-names></name> <name><surname>Chu</surname> <given-names>R</given-names></name> <name><surname>Li</surname> <given-names>D</given-names></name></person-group>. <article-title>A systematic review of burnout among doctors in China: a cultural perspective</article-title>. <source>Asia Pac Fam Med.</source> (<year>2018</year>) <volume>17</volume>:<fpage>3</fpage>. <pub-id pub-id-type="doi">10.1186/s12930-018-0040-3</pub-id><pub-id pub-id-type="pmid">29449785</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>W</given-names></name> <name><surname>Pan</surname> <given-names>Z</given-names></name> <name><surname>Li</surname> <given-names>Z</given-names></name> <name><surname>Lu</surname> <given-names>S</given-names></name> <name><surname>Zhang</surname> <given-names>L</given-names></name></person-group>. <article-title>Job burnout among primary healthcare workers in rural china: a multilevel analysis</article-title>. <source>Int J Environ Res Public Health.</source> (<year>2020</year>) <volume>17</volume>:<fpage>727</fpage>. <pub-id pub-id-type="doi">10.3390/ijerph17030727</pub-id><pub-id pub-id-type="pmid">31979154</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Poncet</surname> <given-names>MC</given-names></name> <name><surname>Toullic</surname> <given-names>P</given-names></name> <name><surname>Papazian</surname> <given-names>L</given-names></name> <name><surname>Kentish-Barnes</surname> <given-names>N</given-names></name> <name><surname>Timsit</surname> <given-names>JF</given-names></name> <name><surname>Pochard</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Burnout syndrome in critical care nursing staff</article-title>. <source>Am J Respir Crit Care Med.</source> (<year>2007</year>) <volume>175</volume>:<fpage>698</fpage>&#x02013;<lpage>704</lpage>. <pub-id pub-id-type="doi">10.1164/rccm.200606-806OC</pub-id><pub-id pub-id-type="pmid">20333888</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>West</surname> <given-names>C</given-names></name> <name><surname>Dyrbye</surname> <given-names>L</given-names></name> <name><surname>Shanafelt</surname> <given-names>T</given-names></name></person-group>. <article-title>Physician burnout: contributors, consequences and solutions</article-title>. <source>J Intern Med.</source> (<year>2018</year>) <volume>283</volume>:<fpage>516</fpage>&#x02013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.1111/joim.12752</pub-id><pub-id pub-id-type="pmid">29505159</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Williford</surname> <given-names>M</given-names></name> <name><surname>Scarlet</surname> <given-names>S</given-names></name> <name><surname>Meyers</surname> <given-names>M</given-names></name> <name><surname>Luckett</surname> <given-names>DJ</given-names></name> <name><surname>Fine</surname> <given-names>JP</given-names></name> <name><surname>Goettler</surname> <given-names>CE</given-names></name> <etal/></person-group>. <article-title>Multiple-institution comparison of resident and faculty perceptions of burnout and depression during surgical training</article-title>. <source>JAMA Surg.</source> (<year>2018</year>) <volume>153</volume>:<fpage>705</fpage>&#x02013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1001/jamasurg.2018.0974</pub-id><pub-id pub-id-type="pmid">29800976</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>West</surname> <given-names>C</given-names></name> <name><surname>Tan</surname> <given-names>A</given-names></name> <name><surname>Habermann</surname> <given-names>T</given-names></name> <name><surname>Sloan</surname> <given-names>J</given-names></name> <name><surname>Shanafelt</surname> <given-names>T</given-names></name></person-group>. <article-title>Association of resident fatigue and distress with perceived medical errors</article-title>. <source>JAMA.</source> (<year>2009</year>) <volume>302</volume>:<fpage>1294</fpage>&#x02013;<lpage>300</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2009.1389</pub-id><pub-id pub-id-type="pmid">19773564</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shanafelt</surname> <given-names>T</given-names></name> <name><surname>Mungo</surname> <given-names>M</given-names></name> <name><surname>Schmitgen</surname> <given-names>J</given-names></name> <name><surname>Storz</surname> <given-names>KA</given-names></name> <name><surname>Reeves</surname> <given-names>D</given-names></name> <name><surname>Hayes</surname> <given-names>SN</given-names></name> <etal/></person-group>. <article-title>Longitudinal study evaluating the association between physician burnout and changes in professional work effort</article-title>. <source>Mayo Clin Proc.</source> (<year>2016</year>) <volume>91</volume>:<fpage>422</fpage>&#x02013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1016/j.mayocp.2016.02.001</pub-id><pub-id pub-id-type="pmid">27046522</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dyrbye</surname> <given-names>L</given-names></name> <name><surname>Shanafelt</surname> <given-names>T</given-names></name></person-group>. <article-title>Physician burnout: a potential threat to successful health care reform</article-title>. <source>JAMA.</source> (<year>2011</year>) <volume>305</volume>:<fpage>2009</fpage>&#x02013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2011.652</pub-id><pub-id pub-id-type="pmid">21586718</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moss</surname> <given-names>M</given-names></name> <name><surname>Good</surname> <given-names>V</given-names></name> <name><surname>Gozal</surname> <given-names>D</given-names></name> <name><surname>Kleinpell</surname> <given-names>R</given-names></name> <name><surname>Sessler</surname> <given-names>C</given-names></name></person-group>. <article-title>An official critical care societies collaborative statement-burnout syndrome in critical care health-care professionals: a call for action</article-title>. <source>Chest.</source> (<year>2016</year>) <volume>150</volume>:<fpage>17</fpage>&#x02013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.1016/j.chest.2016.02.649</pub-id><pub-id pub-id-type="pmid">27396776</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Han</surname> <given-names>S</given-names></name> <name><surname>Shanafelt</surname> <given-names>T</given-names></name> <name><surname>Sinsky</surname> <given-names>C</given-names></name> <name><surname>Awad</surname> <given-names>KM</given-names></name> <name><surname>Dyrbye</surname> <given-names>LN</given-names></name> <name><surname>Fiscus</surname> <given-names>LC</given-names></name> <etal/></person-group>. <article-title>Estimating the attributable cost of physician burnout in the United States</article-title>. <source>Ann Intern Med.</source> (<year>2019</year>) <volume>170</volume>:<fpage>784</fpage>&#x02013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.7326/M18-1422</pub-id><pub-id pub-id-type="pmid">31610567</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lizano</surname> <given-names>EL</given-names></name></person-group>. <article-title>Examining the impact of job burnout on the health and well-being of human service workers: a systematic review and synthesis</article-title>. <source>Hum Serv Organ Manag Leadersh Gov.</source> (<year>2015</year>) <volume>39</volume>:<fpage>167</fpage>&#x02013;<lpage>81</lpage>. <pub-id pub-id-type="doi">10.1080/23303131.2015.1014122</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Flynn</surname> <given-names>T</given-names></name> <name><surname>Huynh</surname> <given-names>E</given-names></name> <name><surname>Peters</surname> <given-names>T</given-names></name> <name><surname>Al-Janabi</surname> <given-names>H</given-names></name> <name><surname>Clemens</surname> <given-names>S</given-names></name> <name><surname>Moody</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Scoring the icecap-a capability instrument. Estimation of a UK general population tariff</article-title>. <source>Health Econ.</source> (<year>2015</year>) <volume>24</volume>:<fpage>258</fpage>&#x02013;<lpage>69</lpage>. <pub-id pub-id-type="doi">10.1002/hec.3014</pub-id><pub-id pub-id-type="pmid">24254584</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sen</surname> <given-names>A</given-names></name></person-group>. <article-title>Capability and well-being</article-title>. <source>Qual Life.</source> (<year>1993</year>) <volume>30</volume>:<fpage>270</fpage>&#x02013;<lpage>93</lpage>. <pub-id pub-id-type="doi">10.1093/0198287976.003.0003</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al-Janabi</surname> <given-names>H</given-names></name> <name><surname>Flynn</surname> <given-names>T</given-names></name> <name><surname>Coast</surname> <given-names>J</given-names></name></person-group>. <article-title>Development of a self-report measure of capability wellbeing for adults: the ICECAP-A</article-title>. <source>Qual Life Res.</source> (<year>2012</year>) <volume>21</volume>:<fpage>167</fpage>&#x02013;<lpage>76</lpage>. <pub-id pub-id-type="doi">10.1007/s11136-011-9927-2</pub-id><pub-id pub-id-type="pmid">21598064</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dyrbye</surname> <given-names>LN</given-names></name> <name><surname>Massie FS</surname> <given-names>Jr</given-names></name> <name><surname>Eacker</surname> <given-names>A</given-names></name> <name><surname>Harper</surname> <given-names>W</given-names></name> <name><surname>Power</surname> <given-names>D</given-names></name> <name><surname>Durning</surname> <given-names>SJ</given-names></name> <etal/></person-group>. <article-title>Relationship between burnout and professional conduct and attitudes among US medical students</article-title>. <source>JAMA.</source> (<year>2010</year>) <volume>304</volume>:<fpage>1173</fpage>&#x02013;<lpage>80</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2010.1318</pub-id><pub-id pub-id-type="pmid">20841530</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thomas</surname> <given-names>N</given-names></name></person-group>. <article-title>Resident burnout</article-title>. <source>JAMA.</source> (<year>2004</year>) <volume>292</volume>:<fpage>2880</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1001/jama.292.23.2880</pub-id><pub-id pub-id-type="pmid">15598920</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rotenstein</surname> <given-names>L</given-names></name> <name><surname>Torre</surname> <given-names>M</given-names></name> <name><surname>Ramos</surname> <given-names>M</given-names></name> <name><surname>Rosales</surname> <given-names>RC</given-names></name> <name><surname>Guille</surname> <given-names>C</given-names></name> <name><surname>Sen</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Prevalence of burnout among physicians: a systematic review</article-title>. <source>JAMA.</source> (<year>2018</year>) <volume>320</volume>:<fpage>1131</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2018.12777</pub-id><pub-id pub-id-type="pmid">34628517</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Taber</surname> <given-names>KS</given-names></name></person-group>. <article-title>The use of Cronbach&#x00027;s alpha when developing and reporting research instruments in science education</article-title>. <source>Res Sci Educ.</source> (<year>2018</year>) <volume>48</volume>:<fpage>1273</fpage>&#x02013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1007/s11165-016-9602-2</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maslach</surname> <given-names>C</given-names></name> <name><surname>Schaufeli</surname> <given-names>WB</given-names></name> <name><surname>Leiter</surname> <given-names>MP</given-names></name></person-group>. <article-title>Job burnout</article-title>. <source>Annu Rev Psychol.</source> (<year>2001</year>) <volume>52</volume>:<fpage>397</fpage>&#x02013;<lpage>422</lpage>. <pub-id pub-id-type="doi">10.1146/annurev.psych.52.1.397</pub-id><pub-id pub-id-type="pmid">11148311</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jovanovi&#x00107;</surname> <given-names>N</given-names></name> <name><surname>Podlesek</surname> <given-names>A</given-names></name> <name><surname>Volpe</surname> <given-names>U</given-names></name> <name><surname>Barrett</surname> <given-names>E</given-names></name> <name><surname>Ferrari</surname> <given-names>S</given-names></name> <name><surname>Kuzman</surname> <given-names>MR</given-names></name> <etal/></person-group>. <article-title>Burnout syndrome among psychiatric trainees in 22 countries: risk increased by long working hours, lack of supervision, and psychiatry not being first career choice</article-title>. <source>Eur Psychiatry.</source> (<year>2016</year>) <volume>32</volume>:<fpage>34</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1016/j.eurpsy.2015.10.007</pub-id><pub-id pub-id-type="pmid">26802982</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>R&#x000F8;</surname> <given-names>K</given-names></name> <name><surname>Gude</surname> <given-names>T</given-names></name> <name><surname>Tyssen</surname> <given-names>R</given-names></name> <name><surname>Aasland</surname> <given-names>O</given-names></name></person-group>. <article-title>Counselling for burnout in Norwegian doctors: one year cohort study</article-title>. <source>BMJ.</source> (<year>2008</year>) <volume>337</volume>:<fpage>a2004</fpage>. <pub-id pub-id-type="doi">10.1136/bmj.a2004</pub-id><pub-id pub-id-type="pmid">19001492</pub-id></citation></ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mehta</surname> <given-names>L</given-names></name> <name><surname>Lewis</surname> <given-names>S</given-names></name> <name><surname>Duvernoy</surname> <given-names>C</given-names></name> <name><surname>Rzeszut</surname> <given-names>A</given-names></name> <name><surname>Walsh</surname> <given-names>M</given-names></name> <name><surname>Harrington</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Burnout and career satisfaction among U.S. cardiologists</article-title>. <source>J Am Coll Cardiol.</source> (<year>2019</year>) <volume>73</volume>:<fpage>3345</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2019.04.031</pub-id><pub-id pub-id-type="pmid">31248556</pub-id></citation></ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dewa</surname> <given-names>C</given-names></name> <name><surname>Jacobs</surname> <given-names>P</given-names></name> <name><surname>Thanh</surname> <given-names>N</given-names></name> <name><surname>Loong</surname> <given-names>D</given-names></name></person-group>. <article-title>An estimate of the cost of burnout on early retirement and reduction in clinical hours of practicing physicians in Canada</article-title>. <source>BMC Health Serv Res.</source> (<year>2014</year>) <volume>14</volume>:<fpage>254</fpage>. <pub-id pub-id-type="doi">10.1186/1472-6963-14-254</pub-id><pub-id pub-id-type="pmid">24927847</pub-id></citation></ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pu</surname> <given-names>J</given-names></name> <name><surname>Zhou</surname> <given-names>X</given-names></name> <name><surname>Zhu</surname> <given-names>D</given-names></name> <name><surname>Zhong</surname> <given-names>X</given-names></name> <name><surname>Yang</surname> <given-names>L</given-names></name> <name><surname>Wang</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Gender differences in psychological morbidity, burnout, job stress and job satisfaction among Chinese neurologists: a national cross-sectional study</article-title>. <source>Psychol Health Med.</source> (<year>2017</year>) <volume>22</volume>:<fpage>680</fpage>&#x02013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1080/13548506.2016.1211717</pub-id><pub-id pub-id-type="pmid">27436373</pub-id></citation></ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname> <given-names>S</given-names></name> <name><surname>Huang</surname> <given-names>Y</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Ma</surname> <given-names>Y</given-names></name> <name><surname>Zhou</surname> <given-names>T</given-names></name> <name><surname>Zhao</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Prevalence of burnout and career satisfaction among oncologists in China: a national survey</article-title>. <source>Oncologist.</source> (<year>2019</year>) <volume>24</volume>:<fpage>e480</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1634/theoncologist.2018-0249</pub-id><pub-id pub-id-type="pmid">30568022</pub-id></citation></ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>Y</given-names></name> <name><surname>Ellis</surname> <given-names>R</given-names></name> <name><surname>Hewitt</surname> <given-names>D</given-names></name> <name><surname>Yang</surname> <given-names>A</given-names></name> <name><surname>Cheung</surname> <given-names>E</given-names></name> <name><surname>Moskowitz</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Discrimination, abuse, harassment, and burnout in surgical residency training</article-title>. <source>N Engl J Med.</source> (<year>2019</year>) <volume>381</volume>:<fpage>1741</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMsa1903759</pub-id><pub-id pub-id-type="pmid">32073959</pub-id></citation></ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>West</surname> <given-names>C</given-names></name> <name><surname>Shanafelt</surname> <given-names>T</given-names></name> <name><surname>Kolars</surname> <given-names>J</given-names></name></person-group>. <article-title>Quality of life, burnout, educational debt, and medical knowledge among internal medicine residents</article-title>. <source>JAMA.</source> (<year>2011</year>) <volume>306</volume>:<fpage>952</fpage>&#x02013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2011.1247</pub-id><pub-id pub-id-type="pmid">21900135</pub-id></citation></ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname> <given-names>C</given-names></name> <name><surname>Xiong</surname> <given-names>Y</given-names></name> <name><surname>Wu</surname> <given-names>H</given-names></name> <name><surname>Xu</surname> <given-names>J</given-names></name></person-group>. <article-title>Adaptation and assessments of the Chinese version of the ICECAP-A measurement</article-title>. <source>Health Qual Life Outcomes.</source> (<year>2018</year>) <volume>16</volume>:<fpage>45</fpage>. <pub-id pub-id-type="doi">10.1186/s12955-018-0865-3</pub-id><pub-id pub-id-type="pmid">29530092</pub-id></citation></ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>See</surname> <given-names>KC</given-names></name> <name><surname>Zhao</surname> <given-names>MY</given-names></name> <name><surname>Nakataki</surname> <given-names>E</given-names></name> <name><surname>Chittawatanarat</surname> <given-names>K</given-names></name> <name><surname>Fang</surname> <given-names>WF</given-names></name> <name><surname>Faruq</surname> <given-names>MO</given-names></name> <etal/></person-group>. <article-title>Professional burnout among physicians and nurses in Asian intensive care units: a multinational survey</article-title>. <source>Intensive Care Med.</source> (<year>2018</year>) <volume>44</volume>:<fpage>2079</fpage>&#x02013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1007/s00134-018-5432-1</pub-id><pub-id pub-id-type="pmid">30446797</pub-id></citation></ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shenoi</surname> <given-names>A</given-names></name> <name><surname>Kalyanaraman</surname> <given-names>M</given-names></name> <name><surname>Pillai</surname> <given-names>A</given-names></name> <name><surname>Raghava</surname> <given-names>P</given-names></name> <name><surname>Day</surname> <given-names>S</given-names></name></person-group>. <article-title>Burnout and psychological distress among pediatric critical care physicians in the United States</article-title>. <source>Crit Care Med.</source> (<year>2018</year>) <volume>46</volume>:<fpage>116</fpage>&#x02013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1097/CCM.0000000000002751</pub-id><pub-id pub-id-type="pmid">29016364</pub-id></citation></ref>
<ref id="B41">
<label>41.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Summers</surname> <given-names>R</given-names></name> <name><surname>Gorrindo</surname> <given-names>T</given-names></name> <name><surname>Hwang</surname> <given-names>S</given-names></name> <name><surname>Aggarwal</surname> <given-names>R</given-names></name> <name><surname>Guille</surname> <given-names>C</given-names></name></person-group>. <article-title>Well-being, burnout, and depression among North American psychiatrists: the state of our profession</article-title>. <source>Am J Psychiatry.</source> (<year>2020</year>) <volume>177</volume>:<fpage>955</fpage>&#x02013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1176/appi.ajp.2020.19090901</pub-id><pub-id pub-id-type="pmid">32660300</pub-id></citation></ref>
<ref id="B42">
<label>42.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chunming</surname> <given-names>WM</given-names></name> <name><surname>Harrison</surname> <given-names>R</given-names></name> <name><surname>MacIntyre</surname> <given-names>R</given-names></name> <name><surname>Travaglia</surname> <given-names>J</given-names></name> <name><surname>Balasooriya</surname> <given-names>C</given-names></name></person-group>. <article-title>Burnout in medical students: a systematic review of experiences in Chinese medical schools</article-title>. <source>BMC Med Educ.</source> (<year>2017</year>) <volume>17</volume>:<fpage>217</fpage>. <pub-id pub-id-type="doi">10.1186/s12909-017-1064-3</pub-id><pub-id pub-id-type="pmid">29145854</pub-id></citation></ref>
<ref id="B43">
<label>43.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>X</given-names></name> <name><surname>Pu</surname> <given-names>J</given-names></name> <name><surname>Zhong</surname> <given-names>X</given-names></name> <name><surname>Zhu</surname> <given-names>D</given-names></name> <name><surname>Yin</surname> <given-names>D</given-names></name> <name><surname>Yang</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Burnout, psychological morbidity, job stress, and job satisfaction in Chinese neurologists</article-title>. <source>Neurology.</source> (<year>2017</year>) <volume>88</volume>:<fpage>1727</fpage>&#x02013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.1212/WNL.0000000000003883</pub-id><pub-id pub-id-type="pmid">28381514</pub-id></citation></ref>
<ref id="B44">
<label>44.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shanafelt</surname> <given-names>T</given-names></name> <name><surname>West</surname> <given-names>C</given-names></name> <name><surname>Sinsky</surname> <given-names>C</given-names></name> <name><surname>Trockel</surname> <given-names>M</given-names></name> <name><surname>Tutty</surname> <given-names>M</given-names></name> <name><surname>Satele</surname> <given-names>DV</given-names></name> <etal/></person-group>. <article-title>Changes in burnout and satisfaction with work-life integration in physicians and the general US working population between 2011 and (2017)</article-title>. <source>Mayo Clin Proc.</source> (<year>2019</year>) <volume>94</volume>:<fpage>1681</fpage>&#x02013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1016/j.mayocp.2018.10.023</pub-id><pub-id pub-id-type="pmid">30803733</pub-id></citation></ref>
<ref id="B45">
<label>45.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>J</given-names></name> <name><surname>Powell-Jackson</surname> <given-names>T</given-names></name> <name><surname>Mills</surname> <given-names>A</given-names></name></person-group>. <article-title>Effectiveness of primary care gatekeeping: difference-in-differences evaluation of a pilot scheme in China</article-title>. <source>BMJ Glob Health.</source> (<year>2020</year>) <volume>5</volume>:<fpage>e002792</fpage>. <pub-id pub-id-type="doi">10.1136/bmjgh-2020-002792</pub-id><pub-id pub-id-type="pmid">32792410</pub-id></citation></ref>
<ref id="B46">
<label>46.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>West</surname> <given-names>CP</given-names></name> <name><surname>Dyrbye</surname> <given-names>LN</given-names></name> <name><surname>Erwin</surname> <given-names>PJ</given-names></name> <name><surname>Shanafelt</surname> <given-names>TD</given-names></name></person-group>. <article-title>Interventions to prevent and reduce physician burnout: a systematic review and meta-analysis</article-title>. <source>Lancet.</source> (<year>2016</year>) <volume>388</volume>:<fpage>2272</fpage>&#x02013;<lpage>81</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(16)31279-X</pub-id><pub-id pub-id-type="pmid">27692469</pub-id></citation></ref>
</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>ICECAP-A</term>
<def><p>Investigating Choice Experiments Capability Measure for Adults</p></def></def-item>
<def-item><term>MBI-HSS</term>
<def><p>Maslach Burnout Inventory-Human Services Survey</p></def></def-item>
<def-item><term>EE</term>
<def><p>emotional exhaustion</p></def></def-item>
<def-item><term>DP</term>
<def><p>depersonalization</p></def></def-item>
<def-item><term>PA</term>
<def><p>personal achievement.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article>