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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Impact of Socioeconomic Inequality on Access, Adherence, and Outcomes of Antiretroviral Treatment Services for People Living with HIV/AIDS in Vietnam</title><author><name sortKey="Tran, Bach Xuan" sort="Tran, Bach Xuan" uniqKey="Tran B" first="Bach Xuan" last="Tran">Bach Xuan Tran</name><affiliation><nlm:aff id="aff001"><addr-line>Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"><addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hwang, Jongnam" sort="Hwang, Jongnam" uniqKey="Hwang J" first="Jongnam" last="Hwang">Jongnam Hwang</name><affiliation><nlm:aff id="aff003"><addr-line>Department of Health Promotion, Daegu University, Gyeongsan, Republic of Korea</addr-line></nlm:aff></affiliation></author><author><name sortKey="Nguyen, Long Hoang" sort="Nguyen, Long Hoang" uniqKey="Nguyen L" first="Long Hoang" last="Nguyen">Long Hoang Nguyen</name><affiliation><nlm:aff id="aff004"><addr-line>School of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Nguyen, Anh Tuan" sort="Nguyen, Anh Tuan" uniqKey="Nguyen A" first="Anh Tuan" last="Nguyen">Anh Tuan Nguyen</name><affiliation><nlm:aff id="aff005"><addr-line>Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Latkin, Noah Reed Knowlton" sort="Latkin, Noah Reed Knowlton" uniqKey="Latkin N" first="Noah Reed Knowlton" last="Latkin">Noah Reed Knowlton Latkin</name><affiliation><nlm:aff id="aff002"><addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Tran, Ngoc Kim" sort="Tran, Ngoc Kim" uniqKey="Tran N" first="Ngoc Kim" last="Tran">Ngoc Kim Tran</name><affiliation><nlm:aff id="aff006"><addr-line>Woolcock Medical Research Institute, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Minh Thuc, Vu Thi" sort="Minh Thuc, Vu Thi" uniqKey="Minh Thuc V" first="Vu Thi" last="Minh Thuc">Vu Thi Minh Thuc</name><affiliation><nlm:aff id="aff007"><addr-line>Department of Immunology and Allergy, National Otolaryngology Hospital, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Nguyen, Huong Lan Thi" sort="Nguyen, Huong Lan Thi" uniqKey="Nguyen H" first="Huong Lan Thi" last="Nguyen">Huong Lan Thi Nguyen</name><affiliation><nlm:aff id="aff005"><addr-line>Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Phan, Huong Thu Thi" sort="Phan, Huong Thu Thi" uniqKey="Phan H" first="Huong Thu Thi" last="Phan">Huong Thu Thi Phan</name><affiliation><nlm:aff id="aff008"><addr-line>Authority of HIV/AIDS Control, Ministry of Health, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Le, Huong Thi" sort="Le, Huong Thi" uniqKey="Le H" first="Huong Thi" last="Le">Huong Thi Le</name><affiliation><nlm:aff id="aff001"><addr-line>Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Tran, Tho Dinh" sort="Tran, Tho Dinh" uniqKey="Tran T" first="Tho Dinh" last="Tran">Tho Dinh Tran</name><affiliation><nlm:aff id="aff009"><addr-line>Department of Hepatobiliary Surgery, Vietnam-Germany Hospital, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Latkin, Carl A" sort="Latkin, Carl A" uniqKey="Latkin C" first="Carl A." last="Latkin">Carl A. Latkin</name><affiliation><nlm:aff id="aff002"><addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">28005937</idno><idno type="pmc">5179124</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5179124</idno><idno type="RBID">PMC:5179124</idno><idno type="doi">10.1371/journal.pone.0168687</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">002931</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002931</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Impact of Socioeconomic Inequality on Access, Adherence, and Outcomes of Antiretroviral Treatment Services for People Living with HIV/AIDS in Vietnam</title><author><name sortKey="Tran, Bach Xuan" sort="Tran, Bach Xuan" uniqKey="Tran B" first="Bach Xuan" last="Tran">Bach Xuan Tran</name><affiliation><nlm:aff id="aff001"><addr-line>Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"><addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hwang, Jongnam" sort="Hwang, Jongnam" uniqKey="Hwang J" first="Jongnam" last="Hwang">Jongnam Hwang</name><affiliation><nlm:aff id="aff003"><addr-line>Department of Health Promotion, Daegu University, Gyeongsan, Republic of Korea</addr-line></nlm:aff></affiliation></author><author><name sortKey="Nguyen, Long Hoang" sort="Nguyen, Long Hoang" uniqKey="Nguyen L" first="Long Hoang" last="Nguyen">Long Hoang Nguyen</name><affiliation><nlm:aff id="aff004"><addr-line>School of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Nguyen, Anh Tuan" sort="Nguyen, Anh Tuan" uniqKey="Nguyen A" first="Anh Tuan" last="Nguyen">Anh Tuan Nguyen</name><affiliation><nlm:aff id="aff005"><addr-line>Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Latkin, Noah Reed Knowlton" sort="Latkin, Noah Reed Knowlton" uniqKey="Latkin N" first="Noah Reed Knowlton" last="Latkin">Noah Reed Knowlton Latkin</name><affiliation><nlm:aff id="aff002"><addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Tran, Ngoc Kim" sort="Tran, Ngoc Kim" uniqKey="Tran N" first="Ngoc Kim" last="Tran">Ngoc Kim Tran</name><affiliation><nlm:aff id="aff006"><addr-line>Woolcock Medical Research Institute, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Minh Thuc, Vu Thi" sort="Minh Thuc, Vu Thi" uniqKey="Minh Thuc V" first="Vu Thi" last="Minh Thuc">Vu Thi Minh Thuc</name><affiliation><nlm:aff id="aff007"><addr-line>Department of Immunology and Allergy, National Otolaryngology Hospital, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Nguyen, Huong Lan Thi" sort="Nguyen, Huong Lan Thi" uniqKey="Nguyen H" first="Huong Lan Thi" last="Nguyen">Huong Lan Thi Nguyen</name><affiliation><nlm:aff id="aff005"><addr-line>Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Phan, Huong Thu Thi" sort="Phan, Huong Thu Thi" uniqKey="Phan H" first="Huong Thu Thi" last="Phan">Huong Thu Thi Phan</name><affiliation><nlm:aff id="aff008"><addr-line>Authority of HIV/AIDS Control, Ministry of Health, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Le, Huong Thi" sort="Le, Huong Thi" uniqKey="Le H" first="Huong Thi" last="Le">Huong Thi Le</name><affiliation><nlm:aff id="aff001"><addr-line>Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Tran, Tho Dinh" sort="Tran, Tho Dinh" uniqKey="Tran T" first="Tho Dinh" last="Tran">Tho Dinh Tran</name><affiliation><nlm:aff id="aff009"><addr-line>Department of Hepatobiliary Surgery, Vietnam-Germany Hospital, Hanoi, Vietnam</addr-line></nlm:aff></affiliation></author><author><name sortKey="Latkin, Carl A" sort="Latkin, Carl A" uniqKey="Latkin C" first="Carl A." last="Latkin">Carl A. Latkin</name><affiliation><nlm:aff id="aff002"><addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Background</title><p>Ensuring an equal benefit across different patient groups is necessary while scaling up free-of-charge antiretroviral treatment (ART) services. This study aimed to measure the disparity in access, adherence, and outcomes of ART in Vietnam and the effects of socioeconomic status (SES) characteristics on the levels of inequality.</p></sec><sec id="sec002"><title>Methods</title><p>A cross-sectional study was conducted in 1133 PLWH in Vietnam. ART access, adherence, and treatment outcomes were self-reported using a structured questionnaire. Wealth-related inequality was calculated using a concentration index, and a decomposition analysis was used to determine the contribution of each SES variable to inequality in access, adherence, and outcomes of ART.</p></sec><sec id="sec003"><title>Results</title><p>Based on SES, minor inequality was found in ART access and adherence while there was considerable inequality in ART outcomes. Poor people were more likely to start treatment early, while rich people had better adherence and overall treatment outcomes. Decomposition revealed that occupation and education played important roles in inequality in ART access, adherence, and treatment outcomes</p></sec><sec id="sec004"><title>Conclusion</title><p>The findings suggested that health services should be integrated into the ART regimen. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, CA USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">28005937</article-id><article-id pub-id-type="pmc">5179124</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0168687</article-id><article-id pub-id-type="publisher-id">PONE-D-16-34513</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Health Care</subject><subj-group><subject>Socioeconomic Aspects of Health</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Socioeconomic Aspects of Health</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Antiviral Therapy</subject><subj-group><subject>Antiretroviral Therapy</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Immunology</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Antiviral Therapy</subject><subj-group><subject>Antiretroviral Therapy</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Public and Occupational Health</subject><subj-group><subject>Preventive Medicine</subject><subj-group><subject>Vaccination and Immunization</subject><subj-group><subject>Antiviral Therapy</subject><subj-group><subject>Antiretroviral Therapy</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Social Sciences</subject><subj-group><subject>Sociology</subject><subj-group><subject>Social Stratification</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Microbiology</subject><subj-group><subject>Medical Microbiology</subject><subj-group><subject>Microbial Pathogens</subject><subj-group><subject>Viral Pathogens</subject><subj-group><subject>Immunodeficiency Viruses</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Pathology and Laboratory Medicine</subject><subj-group><subject>Pathogens</subject><subj-group><subject>Microbial Pathogens</subject><subj-group><subject>Viral Pathogens</subject><subj-group><subject>Immunodeficiency Viruses</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Viruses</subject><subj-group><subject>Viral Pathogens</subject><subj-group><subject>Immunodeficiency Viruses</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Viruses</subject><subj-group><subject>Immunodeficiency Viruses</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Viruses</subject><subj-group><subject>RNA viruses</subject><subj-group><subject>Retroviruses</subject><subj-group><subject>Lentivirus</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Microbiology</subject><subj-group><subject>Medical Microbiology</subject><subj-group><subject>Microbial Pathogens</subject><subj-group><subject>Viral Pathogens</subject><subj-group><subject>Retroviruses</subject><subj-group><subject>Lentivirus</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Pathology and Laboratory Medicine</subject><subj-group><subject>Pathogens</subject><subj-group><subject>Microbial Pathogens</subject><subj-group><subject>Viral Pathogens</subject><subj-group><subject>Retroviruses</subject><subj-group><subject>Lentivirus</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Viruses</subject><subj-group><subject>Viral Pathogens</subject><subj-group><subject>Retroviruses</subject><subj-group><subject>Lentivirus</subject><subj-group><subject>HIV</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>People and Places</subject><subj-group><subject>Geographical Locations</subject><subj-group><subject>Asia</subject><subj-group><subject>Vietnam</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Epidemiology</subject><subj-group><subject>HIV epidemiology</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Health Care</subject><subj-group><subject>Quality of Life</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Pharmaceutics</subject><subj-group><subject>Drug Therapy</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>Impact of Socioeconomic Inequality on Access, Adherence, and Outcomes of Antiretroviral Treatment Services for People Living with HIV/AIDS in Vietnam</article-title><alt-title alt-title-type="running-head">Socioeconomic Inequality in Antiretroviral Treatment</alt-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name><surname>Tran</surname><given-names>Bach Xuan</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff002"><sup>2</sup></xref><xref ref-type="corresp" rid="cor001">*</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>Hwang</surname><given-names>Jongnam</given-names></name><xref ref-type="aff" rid="aff003"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Nguyen</surname><given-names>Long Hoang</given-names></name><xref ref-type="aff" rid="aff004"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Nguyen</surname><given-names>Anh Tuan</given-names></name><xref ref-type="aff" rid="aff005"><sup>5</sup></xref></contrib><contrib contrib-type="author"><name><surname>Latkin</surname><given-names>Noah Reed Knowlton</given-names></name><xref ref-type="aff" rid="aff002"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Tran</surname><given-names>Ngoc Kim</given-names></name><xref ref-type="aff" rid="aff006"><sup>6</sup></xref></contrib><contrib contrib-type="author"><name><surname>Minh Thuc</surname><given-names>Vu Thi</given-names></name><xref ref-type="aff" rid="aff007"><sup>7</sup></xref></contrib><contrib contrib-type="author"><name><surname>Nguyen</surname><given-names>Huong Lan Thi</given-names></name><xref ref-type="aff" rid="aff005"><sup>5</sup></xref></contrib><contrib contrib-type="author"><name><surname>Phan</surname><given-names>Huong Thu Thi</given-names></name><xref ref-type="aff" rid="aff008"><sup>8</sup></xref></contrib><contrib contrib-type="author"><name><surname>Le</surname><given-names>Huong Thi</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Tran</surname><given-names>Tho Dinh</given-names></name><xref ref-type="aff" rid="aff009"><sup>9</sup></xref></contrib><contrib contrib-type="author"><name><surname>Latkin</surname><given-names>Carl A.</given-names></name><xref ref-type="aff" rid="aff002"><sup>2</sup></xref></contrib></contrib-group><aff id="aff001"><label>1</label><addr-line>Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam</addr-line></aff><aff id="aff002"><label>2</label><addr-line>Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line></aff><aff id="aff003"><label>3</label><addr-line>Department of Health Promotion, Daegu University, Gyeongsan, Republic of Korea</addr-line></aff><aff id="aff004"><label>4</label><addr-line>School of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam</addr-line></aff><aff id="aff005"><label>5</label><addr-line>Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam</addr-line></aff><aff id="aff006"><label>6</label><addr-line>Woolcock Medical Research Institute, Hanoi, Vietnam</addr-line></aff><aff id="aff007"><label>7</label><addr-line>Department of Immunology and Allergy, National Otolaryngology Hospital, Hanoi, Vietnam</addr-line></aff><aff id="aff008"><label>8</label><addr-line>Authority of HIV/AIDS Control, Ministry of Health, Hanoi, Vietnam</addr-line></aff><aff id="aff009"><label>9</label><addr-line>Department of Hepatobiliary Surgery, Vietnam-Germany Hospital, Hanoi, Vietnam</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Goldenberg</surname><given-names>Shira M</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>Simon Fraser University, CANADA</addr-line></aff><author-notes><fn fn-type="COI-statement" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con"><p><list list-type="simple"><list-item><p><bold>Conceptualization:</bold> BXT HTTP CAL HTL TDT JH.</p></list-item><list-item><p><bold>Data curation:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Formal analysis:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Funding acquisition:</bold> BXT HTTP CAL.</p></list-item><list-item><p><bold>Investigation:</bold> BXT HTTP HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Methodology:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Project administration:</bold> BXT HTTP CAL HTL TDT JH.</p></list-item><list-item><p><bold>Resources:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Software:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Supervision:</bold> BXT HTTP CAL HTL TDT JH.</p></list-item><list-item><p><bold>Validation:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Visualization:</bold> JH LHN ATN.</p></list-item><list-item><p><bold>Writing – original draft:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item><list-item><p><bold>Writing – review & editing:</bold> BXT HTTP CAL HTL TDT JH LHN ATN VTMT HLTN NRKL NKT.</p></list-item></list></p></fn><corresp id="cor001">* E-mail: <email>bach@hmu.edu.vn</email></corresp></author-notes><pub-date pub-type="epub"><day>22</day><month>12</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>11</volume><issue>12</issue><elocation-id>e0168687</elocation-id><history><date date-type="received"><day>29</day><month>8</month><year>2016</year></date><date date-type="accepted"><day>5</day><month>12</month><year>2016</year></date></history><permissions><copyright-statement>© 2016 Tran et al</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>Tran et al</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="pone.0168687.pdf"></self-uri><abstract><sec id="sec001"><title>Background</title><p>Ensuring an equal benefit across different patient groups is necessary while scaling up free-of-charge antiretroviral treatment (ART) services. This study aimed to measure the disparity in access, adherence, and outcomes of ART in Vietnam and the effects of socioeconomic status (SES) characteristics on the levels of inequality.</p></sec><sec id="sec002"><title>Methods</title><p>A cross-sectional study was conducted in 1133 PLWH in Vietnam. ART access, adherence, and treatment outcomes were self-reported using a structured questionnaire. Wealth-related inequality was calculated using a concentration index, and a decomposition analysis was used to determine the contribution of each SES variable to inequality in access, adherence, and outcomes of ART.</p></sec><sec id="sec003"><title>Results</title><p>Based on SES, minor inequality was found in ART access and adherence while there was considerable inequality in ART outcomes. Poor people were more likely to start treatment early, while rich people had better adherence and overall treatment outcomes. Decomposition revealed that occupation and education played important roles in inequality in ART access, adherence, and treatment outcomes</p></sec><sec id="sec004"><title>Conclusion</title><p>The findings suggested that health services should be integrated into the ART regimen. Furthermore, occupational orientation and training courses should be provided to reduce inequality in ART access, adherence, and treatment outcomes.</p></sec></abstract><funding-group><funding-statement>The authors received no specific funding for this work.</funding-statement></funding-group><counts><fig-count count="1"></fig-count><table-count count="4"></table-count><page-count count="13"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>Data are owned by the Vietnam Authority of HIV/AIDS Control; therefore, the dataset cannot be shared publicly. Requests for data can be sent to Dr. Phan Thi Thu Huong, Vice Director of the Vietnam Authority of HIV/AIDS Control (<email>huongphanmoh@gmail.com</email>).</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>Data are owned by the Vietnam Authority of HIV/AIDS Control; therefore, the dataset cannot be shared publicly. Requests for data can be sent to Dr. Phan Thi Thu Huong, Vice Director of the Vietnam Authority of HIV/AIDS Control (<email>huongphanmoh@gmail.com</email>).</p></notes></front><body><sec sec-type="intro" id="sec005"><title>Introduction</title><p>Globally, a rapid scale-up of antiretroviral therapy (ART) service has sustainably contributed to diminishing the burden of HIV epidemic in both individual and social perspectives [<xref rid="pone.0168687.ref001" ref-type="bibr">1</xref>–<xref rid="pone.0168687.ref003" ref-type="bibr">3</xref>]. By the end of 2015, over 17 million people living with HIV (PLWHs) worldwide were on ART, two million of whom initiated their treatment the same year [<xref rid="pone.0168687.ref004" ref-type="bibr">4</xref>]. ART helps PWLH to prolong virologic suppression, bolster their immune systems, decrease opportunistic infections, and therefore, lengthen their lifespan and improve their quality of life [<xref rid="pone.0168687.ref005" ref-type="bibr">5</xref>–<xref rid="pone.0168687.ref009" ref-type="bibr">9</xref>]. The patients have to strictly adhere to their regimes in order for the treatment to be successful and to prevent drug resistance [<xref rid="pone.0168687.ref010" ref-type="bibr">10</xref>]. The World Health Organization (WHO) recommends that PLWHs should start ART irrespective of their CD4 cell count [<xref rid="pone.0168687.ref006" ref-type="bibr">6</xref>].</p><p>In spite of the critical role of ART, there are widespread inequalities in accessing and utilizing this service [<xref rid="pone.0168687.ref011" ref-type="bibr">11</xref>–<xref rid="pone.0168687.ref014" ref-type="bibr">14</xref>]. International research suggests that lower socioeconomic status (SES) was closely related to delayed ART initiation, lower treatment adherence, and poorer outcomes [<xref rid="pone.0168687.ref011" ref-type="bibr">11</xref>–<xref rid="pone.0168687.ref014" ref-type="bibr">14</xref>]. For example, previous studies showed the positive association between education and early HIV diagnosis and ART initiation [<xref rid="pone.0168687.ref011" ref-type="bibr">11</xref>,<xref rid="pone.0168687.ref015" ref-type="bibr">15</xref>,<xref rid="pone.0168687.ref016" ref-type="bibr">16</xref>]. Furthermore, WHO emphasized in “Treatment 2.0” guideline that wealthier PLWH were more likely to have access to better HIV/AIDS care services [<xref rid="pone.0168687.ref017" ref-type="bibr">17</xref>]. Another study suggests that unemployed people were more likely to withdraw from treatment [<xref rid="pone.0168687.ref010" ref-type="bibr">10</xref>]. Since socioeconomically disadvantaged groups have been extremely vulnerable to the HIV epidemic, the impacts of SES on access, adherence and outcomes of antiretroviral treatment services among PLWH should be carefully elucidated.</p><p>In Vietnam, in the first half of 2016, there were about 227.225 people reported HIV/AIDS positive, a large portion belonging to some of the most at-risk populations such as people injecting drugs, men who have sex with men, and female sex workers [<xref rid="pone.0168687.ref018" ref-type="bibr">18</xref>]. Thanks to funding from international donors, there are currently more than four hundred outpatient clinics providing ART and other HIV-related services free-of-charge [<xref rid="pone.0168687.ref019" ref-type="bibr">19</xref>,<xref rid="pone.0168687.ref020" ref-type="bibr">20</xref>]. However, only 48% of PLWH have access to ART [<xref rid="pone.0168687.ref018" ref-type="bibr">18</xref>]. Furthermore, delayed ART access and utilization are still common in Vietnam. Several reports suggest that more than 50% of patients started treatment when their CD4 cell count was less than 100 cell/m<sup>3</sup> [<xref rid="pone.0168687.ref021" ref-type="bibr">21</xref>,<xref rid="pone.0168687.ref022" ref-type="bibr">22</xref>]. Lower educational attainment, lower income, high out-of-pocket payments, and social stigma against PLWH are considered to be major contributors to the delayed use of ART in Vietnam [<xref rid="pone.0168687.ref023" ref-type="bibr">23</xref>]. The Vietnamese government has shown a strong commitment to addressing these issues by implementing national HIV/AIDS control strategies that 80% of PLWH will receive ART-related services by 2020 [<xref rid="pone.0168687.ref024" ref-type="bibr">24</xref>].</p><p>Despite an increasing concern in health-care inequalities topic in Vietnam [<xref rid="pone.0168687.ref025" ref-type="bibr">25</xref>], limited empirical studies show the relationship between SES and primary aspects of ARV treatment. A few studies showed that SES inequalities could be directly and indirectly associated with the risk of HIV infection [<xref rid="pone.0168687.ref026" ref-type="bibr">26</xref>] and the level of stigma against PLWH [<xref rid="pone.0168687.ref027" ref-type="bibr">27</xref>]. However, none of them mentions whether PLWH could have timely access to ART services, adhere to the regimen, and achieve successful treatment outcomes without depending on SES. Moreover, in the literature, most treatment outcomes are only measured in biological indicators, such as CD4 count or HIV viral load. These measures alone cannot take into account larger socioeconomic factors, which affect the overall success of and access to ART in different populations over an extended period of time. Therefor it is necessary to develop a specific indicator that can display the long-term effects of ART. This study aimed to measure the socioeconomic inequalities in access, adherence, and outcomes of ART services for Vietnamese PLWH; and identify contributors to those disparities.</p></sec><sec sec-type="materials|methods" id="sec006"><title>Materials and Methods</title><sec id="sec007"><title>Study settings and subjects</title><p>A cross-sectional study was performed from January to September 2013 in two leading HIV epicenters in northern Vietnam, theHanoi capital and Nam Dinh province, with 20,762 and 3,781 PLWH, respectively [<xref rid="pone.0168687.ref028" ref-type="bibr">28</xref>]. Eight ART clinics, five in Hanoi and three in Nam Dinh, were included in this study. Those clinics were selected based on following criteria: 1) including clinics in central-, provincial- and district-levels; 2) having an adequate number of PLWH currently on ART.</p><p>The participants must meet following criteria: 1) age ≥ 18 years old; 2) currently being on ART; 3) agreeing to participate in the study and providing written informed consent; 4) having the physical and psychological capacity to answer questionnaire within 25–30 minutes. A convenience sampling technique was used to recruit patients. People who were visiting the clinics during the study period were invited to enroll in the study. A total of 1133 HIV/AIDS patients participated in this study.</p></sec><sec id="sec008"><title>Data collection</title><p>The collection team included well-trained master students in public health and HIV/AIDS experts. A structure questionnaire was used, which included information about socio-demographic and clinical characteristics (i.e. HIV stage, history of drug use, initiated and current CD4 cell count, ART adherence and duration) as well as health outcomes (health-related quality of life—HRQOL).</p></sec><sec id="sec009"><title>Variables</title><sec id="sec010"><title>Socio-economic characteristics</title><p>We investigated some variables namely age, gender, religion, marriage status, educational attainment, occupations and self-reported household income in the last 12 months. In general practice, income, education, and occupation are frequently used to assess socioeconomic status (SES), each with their own advantages and disadvantages [<xref rid="pone.0168687.ref029" ref-type="bibr">29</xref>]. In this case, income was used to assess SES and classified the socio-economic status into five quintiles, with the 1st quintile representing the poorest and the 5<sup>th</sup> quintile representing the richest.</p></sec><sec id="sec011"><title>ART access and adherence</title><p>Initiated CD4 cell count was retrieved from medical records to measure ART service access. Based on this indicator, we assessed whether people received late ART treatment or not. At the time when the study was conducted, the guidelines of the WHO recommended that PLWH should be treated when CD4 cell count reaches 350 [<xref rid="pone.0168687.ref005" ref-type="bibr">5</xref>]. This threshold was utilized to assess late ART access.</p><p>The ART adherence within 30 days of respondents was measured by using a 100-point visual analogue scale (VAS), with the value of 0 meaning complete non-adherence and the value of 100 suggesting complete adherence. [<xref rid="pone.0168687.ref030" ref-type="bibr">30</xref>]. The threshold of ≥ 95% was selected for optimal adherence [<xref rid="pone.0168687.ref031" ref-type="bibr">31</xref>].</p></sec><sec id="sec012"><title>ART outcome of treatment</title><p>Self-reports about the latest CD4 cell count and health-related quality of life were collected from patients. HRQOL was measured by using EQ-5D-5L instrument in the Vietnamese version, which was validated elsewhere [<xref rid="pone.0168687.ref032" ref-type="bibr">32</xref>]. This tool measures five dimensions including mobility, self-care, usual activities, pain/discomfort and anxiety/depression with five response levels: no problems, slight problems, moderate problems, severe problems, and extreme problems [<xref rid="pone.0168687.ref033" ref-type="bibr">33</xref>]. The combination of responses gives 3125 health states with weighting to have aggregate single index [<xref rid="pone.0168687.ref032" ref-type="bibr">32</xref>]. Furthermore, the EQ-VAS (visual analogue scale) measures the self-rated health on a 20-cm vertical scale, with the endpoint ranges from 0 to 100 point, labeled ‘the worst health you can imagine” and ‘the best health you can imagine” [<xref rid="pone.0168687.ref033" ref-type="bibr">33</xref>]. A prior study suggested that the VAS score of 80 was equal to the average score of normal Vietnamese population [<xref rid="pone.0168687.ref009" ref-type="bibr">9</xref>]. Therefore, this threshold was chosen for optimal HRQOL.</p></sec><sec id="sec013"><title>Concentration Index (CI) and decomposition of the CI</title><p>Concentration Index (CI) was applied to assess the income-related inequality in health outcomes and health care services. The CI is a popular tool to measure health and health care inequality in the field of health policy and health economics research [<xref rid="pone.0168687.ref034" ref-type="bibr">34</xref>]. It is obtained by quantifying the area between the concentration curve (which individuals, ranked by socioeconomic status, are plotted against the cumulative share of health outcome or health care service variable) and the line of equity (45-degree line, obtained from concentration curve).</p><p>In general, the CI ranges between -1 and +1, and CI is zero when there is no difference in sharing of health or health care outcome among different SES ranking groups. Positive CI value indicates that the outcome is concentrated in higher SES groups, which can be called “pro-rich”; and the opposite is true for negative values.</p><p>Decomposition of the CI method was applied to identify major contributors to the observed income-related inequality. The basic idea of decomposing the CI is quantifying each contributor to the observed CI, as the overall CI is a sum of the contribution from each factor and residual.</p></sec></sec><sec id="sec014"><title>Statistical analysis</title><p>Data was analyzed using STATA version 12 (Stata Corp. LP, College Station, United States of America). Descriptive analysis was used for demographic characteristics of respondents as well as HRQOL, adherence to treatment and changes in CD4 level. The disparity in access, adherence, and outcome of treatment between people with different income per capita regarding quintiles was determined using CI.</p></sec><sec id="sec015"><title>Ethics approval</title><p>The protocol of this study was reviewed and approved by the Vietnam Authority of HIV/AIDS Control's Scientific Research Committee. Written informed consent was obtained from all participants. Patients could withdraw at any time without it influencing their current treatment.</p></sec></sec><sec sec-type="results" id="sec016"><title>Results</title><p><bold><xref ref-type="table" rid="pone.0168687.t001">Table 1</xref></bold>describes the demographic characteristics of respondents. A total of 1133 patients enrolled in this survey (90% response rate). Most of them were male (58.7%) between 30 and 45 years old (75.3%), living with their spouses or partners (61.2%) and having at least high-school education (41.2%). The majority of respondents were self-employed (41.4%) and workers/farmers (24.9%).</p><table-wrap id="pone.0168687.t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168687.t001</object-id><label>Table 1</label><caption><title>Demographic characteristics of respondents.</title></caption><alternatives><graphic id="pone.0168687.t001g" xlink:href="pone.0168687.t001"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="center" rowspan="3" colspan="1">Characteristics</th><th align="center" colspan="8" rowspan="1">Wealth status</th><th align="center" rowspan="3" colspan="1">p-value</th></tr><tr><th align="center" colspan="2" rowspan="1">≤ Poor</th><th align="center" colspan="2" rowspan="1">Middle</th><th align="center" colspan="2" rowspan="1">≥ Rich</th><th align="center" colspan="2" rowspan="1">Total</th></tr><tr><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Level of clinic</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Central</td><td align="center" rowspan="1" colspan="1">86</td><td align="center" rowspan="1" colspan="1">18.4</td><td align="center" rowspan="1" colspan="1">66</td><td align="center" rowspan="1" colspan="1">26.5</td><td align="center" rowspan="1" colspan="1">125</td><td align="center" rowspan="1" colspan="1">30.1</td><td align="center" rowspan="1" colspan="1">277</td><td align="center" rowspan="1" colspan="1">24.5</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">Province</td><td align="center" rowspan="1" colspan="1">51</td><td align="center" rowspan="1" colspan="1">10.9</td><td align="center" rowspan="1" colspan="1">24</td><td align="center" rowspan="1" colspan="1">9.6</td><td align="center" rowspan="1" colspan="1">24</td><td align="center" rowspan="1" colspan="1">5.8</td><td align="center" rowspan="1" colspan="1">99</td><td align="center" rowspan="1" colspan="1">8.7</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">District</td><td align="center" rowspan="1" colspan="1">331</td><td align="center" rowspan="1" colspan="1">70.7</td><td align="center" rowspan="1" colspan="1">159</td><td align="center" rowspan="1" colspan="1">63.9</td><td align="center" rowspan="1" colspan="1">267</td><td align="center" rowspan="1" colspan="1">64.2</td><td align="center" rowspan="1" colspan="1">757</td><td align="center" rowspan="1" colspan="1">66.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Gender</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Female</td><td align="center" rowspan="1" colspan="1">187</td><td align="center" rowspan="1" colspan="1">40.0</td><td align="center" rowspan="1" colspan="1">108</td><td align="center" rowspan="1" colspan="1">43.4</td><td align="center" rowspan="1" colspan="1">173</td><td align="center" rowspan="1" colspan="1">41.6</td><td align="center" rowspan="1" colspan="1">468</td><td align="center" rowspan="1" colspan="1">41.3</td><td align="center" rowspan="1" colspan="1">0.67</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Age</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">18–<25</td><td align="center" rowspan="1" colspan="1">9</td><td align="center" rowspan="1" colspan="1">1.92</td><td align="center" rowspan="1" colspan="1">4</td><td align="center" rowspan="1" colspan="1">1.61</td><td align="center" rowspan="1" colspan="1">10</td><td align="center" rowspan="1" colspan="1">2.4</td><td align="center" rowspan="1" colspan="1">23</td><td align="center" rowspan="1" colspan="1">2.0</td><td align="center" rowspan="1" colspan="1">0.04</td></tr><tr><td align="left" rowspan="1" colspan="1">25–<30</td><td align="center" rowspan="1" colspan="1">52</td><td align="center" rowspan="1" colspan="1">11.11</td><td align="center" rowspan="1" colspan="1">32</td><td align="center" rowspan="1" colspan="1">12.85</td><td align="center" rowspan="1" colspan="1">65</td><td align="center" rowspan="1" colspan="1">15.6</td><td align="center" rowspan="1" colspan="1">149</td><td align="center" rowspan="1" colspan="1">13.2</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">30–<35</td><td align="center" rowspan="1" colspan="1">170</td><td align="center" rowspan="1" colspan="1">36.32</td><td align="center" rowspan="1" colspan="1">83</td><td align="center" rowspan="1" colspan="1">33.33</td><td align="center" rowspan="1" colspan="1">160</td><td align="center" rowspan="1" colspan="1">38.5</td><td align="center" rowspan="1" colspan="1">413</td><td align="center" rowspan="1" colspan="1">36.5</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">35–<40</td><td align="center" rowspan="1" colspan="1">121</td><td align="center" rowspan="1" colspan="1">25.85</td><td align="center" rowspan="1" colspan="1">68</td><td align="center" rowspan="1" colspan="1">27.31</td><td align="center" rowspan="1" colspan="1">119</td><td align="center" rowspan="1" colspan="1">28.6</td><td align="center" rowspan="1" colspan="1">308</td><td align="center" rowspan="1" colspan="1">27.2</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">40–<45</td><td align="center" rowspan="1" colspan="1">66</td><td align="center" rowspan="1" colspan="1">14.1</td><td align="center" rowspan="1" colspan="1">31</td><td align="center" rowspan="1" colspan="1">12.45</td><td align="center" rowspan="1" colspan="1">35</td><td align="center" rowspan="1" colspan="1">8.4</td><td align="center" rowspan="1" colspan="1">132</td><td align="center" rowspan="1" colspan="1">11.7</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">> = 45</td><td align="center" rowspan="1" colspan="1">50</td><td align="center" rowspan="1" colspan="1">10.68</td><td align="center" rowspan="1" colspan="1">31</td><td align="center" rowspan="1" colspan="1">12.45</td><td align="center" rowspan="1" colspan="1">27</td><td align="center" rowspan="1" colspan="1">6.5</td><td align="center" rowspan="1" colspan="1">108</td><td align="center" rowspan="1" colspan="1">9.5</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Marital status</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Single</td><td align="center" rowspan="1" colspan="1">65</td><td align="center" rowspan="1" colspan="1">13.9</td><td align="center" rowspan="1" colspan="1">30</td><td align="center" rowspan="1" colspan="1">12.1</td><td align="center" rowspan="1" colspan="1">74</td><td align="center" rowspan="1" colspan="1">17.8</td><td align="center" rowspan="1" colspan="1">169</td><td align="center" rowspan="1" colspan="1">14.9</td><td align="center" rowspan="1" colspan="1">0.20</td></tr><tr><td align="left" rowspan="1" colspan="1">Live with spouse/partner</td><td align="center" rowspan="1" colspan="1">285</td><td align="center" rowspan="1" colspan="1">60.9</td><td align="center" rowspan="1" colspan="1">164</td><td align="center" rowspan="1" colspan="1">65.9</td><td align="center" rowspan="1" colspan="1">244</td><td align="center" rowspan="1" colspan="1">58.7</td><td align="center" rowspan="1" colspan="1">693</td><td align="center" rowspan="1" colspan="1">61.2</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Divorced/ Widow</td><td align="center" rowspan="1" colspan="1">118</td><td align="center" rowspan="1" colspan="1">25.2</td><td align="center" rowspan="1" colspan="1">55</td><td align="center" rowspan="1" colspan="1">22.1</td><td align="center" rowspan="1" colspan="1">98</td><td align="center" rowspan="1" colspan="1">23.6</td><td align="center" rowspan="1" colspan="1">271</td><td align="center" rowspan="1" colspan="1">23.9</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Educational attainment</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">≤ Second</td><td align="center" rowspan="1" colspan="1">340</td><td align="center" rowspan="1" colspan="1">72.8</td><td align="center" rowspan="1" colspan="1">139</td><td align="center" rowspan="1" colspan="1">55.8</td><td align="center" rowspan="1" colspan="1">170</td><td align="center" rowspan="1" colspan="1">40.9</td><td align="center" rowspan="1" colspan="1">649</td><td align="center" rowspan="1" colspan="1">57.3</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">High</td><td align="center" rowspan="1" colspan="1">114</td><td align="center" rowspan="1" colspan="1">24.4</td><td align="center" rowspan="1" colspan="1">87</td><td align="center" rowspan="1" colspan="1">34.9</td><td align="center" rowspan="1" colspan="1">161</td><td align="center" rowspan="1" colspan="1">38.7</td><td align="center" rowspan="1" colspan="1">362</td><td align="center" rowspan="1" colspan="1">32.0</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Vocational training</td><td align="center" rowspan="1" colspan="1">5</td><td align="center" rowspan="1" colspan="1">1.1</td><td align="center" rowspan="1" colspan="1">12</td><td align="center" rowspan="1" colspan="1">4.8</td><td align="center" rowspan="1" colspan="1">37</td><td align="center" rowspan="1" colspan="1">8.9</td><td align="center" rowspan="1" colspan="1">54</td><td align="center" rowspan="1" colspan="1">4.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">University</td><td align="center" rowspan="1" colspan="1">8</td><td align="center" rowspan="1" colspan="1">1.7</td><td align="center" rowspan="1" colspan="1">11</td><td align="center" rowspan="1" colspan="1">4.4</td><td align="center" rowspan="1" colspan="1">48</td><td align="center" rowspan="1" colspan="1">11.5</td><td align="center" rowspan="1" colspan="1">67</td><td align="center" rowspan="1" colspan="1">5.9</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Employment</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Unemployed</td><td align="center" rowspan="1" colspan="1">132</td><td align="center" rowspan="1" colspan="1">28.2</td><td align="center" rowspan="1" colspan="1">51</td><td align="center" rowspan="1" colspan="1">20.5</td><td align="center" rowspan="1" colspan="1">49</td><td align="center" rowspan="1" colspan="1">11.8</td><td align="center" rowspan="1" colspan="1">232</td><td align="center" rowspan="1" colspan="1">20.5</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">Self-employed</td><td align="center" rowspan="1" colspan="1">131</td><td align="center" rowspan="1" colspan="1">28.0</td><td align="center" rowspan="1" colspan="1">123</td><td align="center" rowspan="1" colspan="1">49.4</td><td align="center" rowspan="1" colspan="1">215</td><td align="center" rowspan="1" colspan="1">51.7</td><td align="center" rowspan="1" colspan="1">469</td><td align="center" rowspan="1" colspan="1">41.4</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Officers</td><td align="center" rowspan="1" colspan="1">8</td><td align="center" rowspan="1" colspan="1">1.7</td><td align="center" rowspan="1" colspan="1">15</td><td align="center" rowspan="1" colspan="1">6.0</td><td align="center" rowspan="1" colspan="1">57</td><td align="center" rowspan="1" colspan="1">13.7</td><td align="center" rowspan="1" colspan="1">80</td><td align="center" rowspan="1" colspan="1">7.1</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Workers, Farmers</td><td align="center" rowspan="1" colspan="1">176</td><td align="center" rowspan="1" colspan="1">37.6</td><td align="center" rowspan="1" colspan="1">47</td><td align="center" rowspan="1" colspan="1">18.9</td><td align="center" rowspan="1" colspan="1">59</td><td align="center" rowspan="1" colspan="1">14.2</td><td align="center" rowspan="1" colspan="1">282</td><td align="center" rowspan="1" colspan="1">24.9</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Other jobs</td><td align="center" rowspan="1" colspan="1">21</td><td align="center" rowspan="1" colspan="1">4.5</td><td align="center" rowspan="1" colspan="1">13</td><td align="center" rowspan="1" colspan="1">5.2</td><td align="center" rowspan="1" colspan="1">36</td><td align="center" rowspan="1" colspan="1">8.7</td><td align="center" rowspan="1" colspan="1">70</td><td align="center" rowspan="1" colspan="1">6.2</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Religion</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Cult of ancestors</td><td align="center" rowspan="1" colspan="1">404</td><td align="center" rowspan="1" colspan="1">86.3</td><td align="center" rowspan="1" colspan="1">222</td><td align="center" rowspan="1" colspan="1">89.2</td><td align="center" rowspan="1" colspan="1">375</td><td align="center" rowspan="1" colspan="1">90.1</td><td align="center" rowspan="1" colspan="1">1001</td><td align="center" rowspan="1" colspan="1">88.4</td><td align="center" rowspan="1" colspan="1">0.19</td></tr><tr><td align="left" rowspan="1" colspan="1">Others</td><td align="center" rowspan="1" colspan="1">64</td><td align="center" rowspan="1" colspan="1">13.7</td><td align="center" rowspan="1" colspan="1">27</td><td align="center" rowspan="1" colspan="1">10.8</td><td align="center" rowspan="1" colspan="1">41</td><td align="center" rowspan="1" colspan="1">9.9</td><td align="center" rowspan="1" colspan="1">132</td><td align="center" rowspan="1" colspan="1">11.7</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>History of drug use</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="center" rowspan="1" colspan="1">178</td><td align="center" rowspan="1" colspan="1">38.03</td><td align="center" rowspan="1" colspan="1">86</td><td align="center" rowspan="1" colspan="1">34.54</td><td align="center" rowspan="1" colspan="1">138</td><td align="center" rowspan="1" colspan="1">33.17</td><td align="center" rowspan="1" colspan="1">402</td><td align="center" rowspan="1" colspan="1">35.48</td><td align="center" rowspan="1" colspan="1">0.30</td></tr></tbody></table></alternatives></table-wrap><p>The ART access, adherence, and outcomes of respondents are depicted in <bold><xref ref-type="table" rid="pone.0168687.t002">Table 2</xref>.</bold> The majority of them received treatment for more than two years (94.7%). Approximately half of the patients were at asymptomatic (41.6%), while 16% reported symptoms and 10.8% reported to be at the disease stage of AIDS. However, over one-third of the patients did not know their HIV disease stages. Most of the respondents had low CD4 cell counts (<200 cells) at ART initiation (65.6%). However, the percentage of people with low CD4 cell counts was remarkably higher in the poor group than the rich group (p<0.05). About half of the patients had current CD4 cell counts at 350 cells or higher (47.1%) and only 25.7% of patients reported to have optimally adhered to ARV treatment during the last 30 days (VAS ≥ 95%).</p><table-wrap id="pone.0168687.t002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168687.t002</object-id><label>Table 2</label><caption><title>ART access, adherence and outcome of respondents regarding to income quintiles.</title></caption><alternatives><graphic id="pone.0168687.t002g" xlink:href="pone.0168687.t002"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="center" rowspan="2" colspan="1">Characteristics</th><th align="center" colspan="2" rowspan="1">≤ Poor</th><th align="center" colspan="2" rowspan="1">Middle</th><th align="center" colspan="2" rowspan="1">≥ Rich</th><th align="center" rowspan="2" colspan="1">p-value</th></tr><tr><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Duration of ART</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">< 2 years</td><td align="center" rowspan="1" colspan="1">21</td><td align="center" rowspan="1" colspan="1">4.5</td><td align="center" rowspan="1" colspan="1">7</td><td align="center" rowspan="1" colspan="1">2.8</td><td align="center" rowspan="1" colspan="1">22</td><td align="center" rowspan="1" colspan="1">5.3</td><td align="center" rowspan="1" colspan="1">0.07</td></tr><tr><td align="left" rowspan="1" colspan="1">2–< 4 years</td><td align="center" rowspan="1" colspan="1">140</td><td align="center" rowspan="1" colspan="1">29.9</td><td align="center" rowspan="1" colspan="1">72</td><td align="center" rowspan="1" colspan="1">28.9</td><td align="center" rowspan="1" colspan="1">154</td><td align="center" rowspan="1" colspan="1">37.0</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">4–< 7 years</td><td align="center" rowspan="1" colspan="1">196</td><td align="center" rowspan="1" colspan="1">41.9</td><td align="center" rowspan="1" colspan="1">104</td><td align="center" rowspan="1" colspan="1">41.8</td><td align="center" rowspan="1" colspan="1">140</td><td align="center" rowspan="1" colspan="1">33.7</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">≥ 7 years</td><td align="center" rowspan="1" colspan="1">111</td><td align="center" rowspan="1" colspan="1">23.7</td><td align="center" rowspan="1" colspan="1">66</td><td align="center" rowspan="1" colspan="1">26.5</td><td align="center" rowspan="1" colspan="1">100</td><td align="center" rowspan="1" colspan="1">24.0</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>HIV stage</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Asymptomatic</td><td align="center" rowspan="1" colspan="1">182</td><td align="center" rowspan="1" colspan="1">38.9</td><td align="center" rowspan="1" colspan="1">101</td><td align="center" rowspan="1" colspan="1">40.6</td><td align="center" rowspan="1" colspan="1">173</td><td align="center" rowspan="1" colspan="1">41.6</td><td align="center" rowspan="1" colspan="1">0.36</td></tr><tr><td align="left" rowspan="1" colspan="1">Symptomatic</td><td align="center" rowspan="1" colspan="1">78</td><td align="center" rowspan="1" colspan="1">16.7</td><td align="center" rowspan="1" colspan="1">48</td><td align="center" rowspan="1" colspan="1">19.3</td><td align="center" rowspan="1" colspan="1">67</td><td align="center" rowspan="1" colspan="1">16.1</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AIDS</td><td align="center" rowspan="1" colspan="1">35</td><td align="center" rowspan="1" colspan="1">7.5</td><td align="center" rowspan="1" colspan="1">21</td><td align="center" rowspan="1" colspan="1">8.4</td><td align="center" rowspan="1" colspan="1">45</td><td align="center" rowspan="1" colspan="1">10.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Unknown</td><td align="center" rowspan="1" colspan="1">173</td><td align="center" rowspan="1" colspan="1">37.0</td><td align="center" rowspan="1" colspan="1">79</td><td align="center" rowspan="1" colspan="1">31.7</td><td align="center" rowspan="1" colspan="1">131</td><td align="center" rowspan="1" colspan="1">31.5</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Initiated CD4 cell count</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><100</td><td align="center" rowspan="1" colspan="1">274</td><td align="center" rowspan="1" colspan="1">58.6</td><td align="center" rowspan="1" colspan="1">147</td><td align="center" rowspan="1" colspan="1">59.0</td><td align="center" rowspan="1" colspan="1">199</td><td align="center" rowspan="1" colspan="1">47.8</td><td align="center" rowspan="1" colspan="1">0.02</td></tr><tr><td align="left" rowspan="1" colspan="1">100- < 200</td><td align="center" rowspan="1" colspan="1">75</td><td align="center" rowspan="1" colspan="1">16.0</td><td align="center" rowspan="1" colspan="1">37</td><td align="center" rowspan="1" colspan="1">14.9</td><td align="center" rowspan="1" colspan="1">70</td><td align="center" rowspan="1" colspan="1">16.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">200- < 350</td><td align="center" rowspan="1" colspan="1">83</td><td align="center" rowspan="1" colspan="1">17.7</td><td align="center" rowspan="1" colspan="1">43</td><td align="center" rowspan="1" colspan="1">17.3</td><td align="center" rowspan="1" colspan="1">99</td><td align="center" rowspan="1" colspan="1">23.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">> = 350</td><td align="center" rowspan="1" colspan="1">36</td><td align="center" rowspan="1" colspan="1">7.7</td><td align="center" rowspan="1" colspan="1">22</td><td align="center" rowspan="1" colspan="1">8.8</td><td align="center" rowspan="1" colspan="1">48</td><td align="center" rowspan="1" colspan="1">11.5</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Current CD4 cell counts</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><100</td><td align="center" rowspan="1" colspan="1">108</td><td align="center" rowspan="1" colspan="1">23.1</td><td align="center" rowspan="1" colspan="1">53</td><td align="center" rowspan="1" colspan="1">21.3</td><td align="center" rowspan="1" colspan="1">70</td><td align="center" rowspan="1" colspan="1">16.8</td><td align="center" rowspan="1" colspan="1">0.25</td></tr><tr><td align="left" rowspan="1" colspan="1">100–200</td><td align="center" rowspan="1" colspan="1">51</td><td align="center" rowspan="1" colspan="1">10.9</td><td align="center" rowspan="1" colspan="1">21</td><td align="center" rowspan="1" colspan="1">8.4</td><td align="center" rowspan="1" colspan="1">43</td><td align="center" rowspan="1" colspan="1">10.3</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">200–350</td><td align="center" rowspan="1" colspan="1">120</td><td align="center" rowspan="1" colspan="1">25.6</td><td align="center" rowspan="1" colspan="1">62</td><td align="center" rowspan="1" colspan="1">24.9</td><td align="center" rowspan="1" colspan="1">107</td><td align="center" rowspan="1" colspan="1">25.7</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">> = 350</td><td align="center" rowspan="1" colspan="1">189</td><td align="center" rowspan="1" colspan="1">40.4</td><td align="center" rowspan="1" colspan="1">113</td><td align="center" rowspan="1" colspan="1">45.4</td><td align="center" rowspan="1" colspan="1">196</td><td align="center" rowspan="1" colspan="1">47.1</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>ART adherence (VAS ≥ 95%)</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="center" rowspan="1" colspan="1">146</td><td align="center" rowspan="1" colspan="1">31.2</td><td align="center" rowspan="1" colspan="1">60</td><td align="center" rowspan="1" colspan="1">24.1</td><td align="center" rowspan="1" colspan="1">107</td><td align="center" rowspan="1" colspan="1">25.7</td><td align="center" rowspan="1" colspan="1">0.07</td></tr><tr><td align="left" rowspan="1" colspan="1">No</td><td align="center" rowspan="1" colspan="1">322</td><td align="center" rowspan="1" colspan="1">68.8</td><td align="center" rowspan="1" colspan="1">189</td><td align="center" rowspan="1" colspan="1">75.9</td><td align="center" rowspan="1" colspan="1">309</td><td align="center" rowspan="1" colspan="1">74.3</td><td align="center" rowspan="1" colspan="1"></td></tr></tbody></table></alternatives></table-wrap><p>The results of <bold><xref ref-type="table" rid="pone.0168687.t003">Table 3</xref></bold>suggest that participants with greater wealth had better HRQOL. The proportion of people who had problems in all of five of the characteristics of mobility, self-care, usual activities, pain/discomfort and anxiety/depression decreased from poor to rich quintiles (p < 0.05). The overall EQ-5D score and EQ-VAS were also significantly higher in the rich group than the poor group (p<0.05). The proportion of optimal HRQOL people in the rich group was double those in the poor group (p<0.05).</p><table-wrap id="pone.0168687.t003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168687.t003</object-id><label>Table 3</label><caption><title>HRQOL of respondents by household’s economic status.</title></caption><alternatives><graphic id="pone.0168687.t003g" xlink:href="pone.0168687.t003"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="center" rowspan="2" colspan="1">Characteristics</th><th align="center" colspan="2" rowspan="1">≤ Poor</th><th align="center" colspan="2" rowspan="1">Middle</th><th align="center" colspan="2" rowspan="1">≥ Rich</th><th align="center" rowspan="2" colspan="1">p-value</th></tr><tr><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th><th align="center" rowspan="1" colspan="1">n</th><th align="center" rowspan="1" colspan="1">%</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Mobility</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Have problems</td><td align="center" rowspan="1" colspan="1">124</td><td align="center" rowspan="1" colspan="1">26.5</td><td align="center" rowspan="1" colspan="1">53</td><td align="center" rowspan="1" colspan="1">21.3</td><td align="center" rowspan="1" colspan="1">55</td><td align="center" rowspan="1" colspan="1">13.2</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">No problems</td><td align="center" rowspan="1" colspan="1">344</td><td align="center" rowspan="1" colspan="1">73.5</td><td align="center" rowspan="1" colspan="1">196</td><td align="center" rowspan="1" colspan="1">78.7</td><td align="center" rowspan="1" colspan="1">361</td><td align="center" rowspan="1" colspan="1">86.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Self-care</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Have problems</td><td align="center" rowspan="1" colspan="1">64</td><td align="center" rowspan="1" colspan="1">13.7</td><td align="center" rowspan="1" colspan="1">20</td><td align="center" rowspan="1" colspan="1">8.0</td><td align="center" rowspan="1" colspan="1">26</td><td align="center" rowspan="1" colspan="1">6.3</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">No problems</td><td align="center" rowspan="1" colspan="1">404</td><td align="center" rowspan="1" colspan="1">86.3</td><td align="center" rowspan="1" colspan="1">229</td><td align="center" rowspan="1" colspan="1">92.0</td><td align="center" rowspan="1" colspan="1">390</td><td align="center" rowspan="1" colspan="1">93.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Usual activities</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Have problems</td><td align="center" rowspan="1" colspan="1">103</td><td align="center" rowspan="1" colspan="1">22.0</td><td align="center" rowspan="1" colspan="1">41</td><td align="center" rowspan="1" colspan="1">16.5</td><td align="center" rowspan="1" colspan="1">44</td><td align="center" rowspan="1" colspan="1">10.6</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">No problems</td><td align="center" rowspan="1" colspan="1">365</td><td align="center" rowspan="1" colspan="1">78.0</td><td align="center" rowspan="1" colspan="1">208</td><td align="center" rowspan="1" colspan="1">83.5</td><td align="center" rowspan="1" colspan="1">372</td><td align="center" rowspan="1" colspan="1">89.4</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Pain/discomfort</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Have problems</td><td align="center" rowspan="1" colspan="1">203</td><td align="center" rowspan="1" colspan="1">43.4</td><td align="center" rowspan="1" colspan="1">100</td><td align="center" rowspan="1" colspan="1">40.2</td><td align="center" rowspan="1" colspan="1">124</td><td align="center" rowspan="1" colspan="1">29.8</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">No problems</td><td align="center" rowspan="1" colspan="1">265</td><td align="center" rowspan="1" colspan="1">56.6</td><td align="center" rowspan="1" colspan="1">149</td><td align="center" rowspan="1" colspan="1">59.8</td><td align="center" rowspan="1" colspan="1">292</td><td align="center" rowspan="1" colspan="1">70.2</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Anxiety/depression</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Have problems</td><td align="center" rowspan="1" colspan="1">250</td><td align="center" rowspan="1" colspan="1">53.4</td><td align="center" rowspan="1" colspan="1">121</td><td align="center" rowspan="1" colspan="1">48.6</td><td align="center" rowspan="1" colspan="1">138</td><td align="center" rowspan="1" colspan="1">33.2</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">No problems</td><td align="center" rowspan="1" colspan="1">218</td><td align="center" rowspan="1" colspan="1">46.6</td><td align="center" rowspan="1" colspan="1">128</td><td align="center" rowspan="1" colspan="1">51.4</td><td align="center" rowspan="1" colspan="1">278</td><td align="center" rowspan="1" colspan="1">66.8</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Optimal HRQOL</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>≥</bold> 80 VAS score</td><td align="center" rowspan="1" colspan="1">117</td><td align="center" rowspan="1" colspan="1">25.0</td><td align="center" rowspan="1" colspan="1">99</td><td align="center" rowspan="1" colspan="1">39.8</td><td align="center" rowspan="1" colspan="1">210</td><td align="center" rowspan="1" colspan="1">50.5</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">< 80 VAS Score</td><td align="center" rowspan="1" colspan="1">351</td><td align="center" rowspan="1" colspan="1">75.0</td><td align="center" rowspan="1" colspan="1">150</td><td align="center" rowspan="1" colspan="1">60.2</td><td align="center" rowspan="1" colspan="1">206</td><td align="center" rowspan="1" colspan="1">49.5</td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"><bold>Mean</bold></td><td align="center" rowspan="1" colspan="1"><bold>SD</bold></td><td align="center" rowspan="1" colspan="1"><bold>Mean</bold></td><td align="center" rowspan="1" colspan="1"><bold>SD</bold></td><td align="center" rowspan="1" colspan="1"><bold>Mean</bold></td><td align="center" rowspan="1" colspan="1"><bold>SD</bold></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">EQ-5D index</td><td align="center" rowspan="1" colspan="1">0.74</td><td align="center" rowspan="1" colspan="1">0.26</td><td align="center" rowspan="1" colspan="1">0.78</td><td align="center" rowspan="1" colspan="1">0.22</td><td align="center" rowspan="1" colspan="1">0.84</td><td align="center" rowspan="1" colspan="1">0.21</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">VAS</td><td align="center" rowspan="1" colspan="1">63.88</td><td align="center" rowspan="1" colspan="1">17.42</td><td align="center" rowspan="1" colspan="1">69.36</td><td align="center" rowspan="1" colspan="1">17.31</td><td align="center" rowspan="1" colspan="1">74.09</td><td align="center" rowspan="1" colspan="1">15.40</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr></tbody></table></alternatives></table-wrap><p>The severity of inequality was shown in <bold><xref ref-type="fig" rid="pone.0168687.g001">Fig 1</xref>.</bold> A slight inequality in timely access to ART was found with CI = -0.027, showing that timely ART access was concentrated among poor people. In contrast, the CI for treatment had a positive value (CI = 0.021), indicating poor people experienced greater difficulty in ART adherence. In term of treatment outcomes such as HRQOL and current CD4 cell count, the CI was also a positive value (CI = 0.196 and 0.051, respectively), revealing an inequality in outcomes that favored the rich.</p><fig id="pone.0168687.g001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168687.g001</object-id><label>Fig 1</label><caption><title>Concentration curves for the severity of inequality on access, adherence, and outcomes of ART services.</title><p>(A) Late ART access (B) ART adherence treatment (C) HRQOL (D) Current CD4 cell count.</p></caption><graphic xlink:href="pone.0168687.g001"></graphic></fig><p>The results of a decomposition analysis are shown in <bold><xref ref-type="table" rid="pone.0168687.t004">Table 4</xref>.</bold> Education and age were two main factors contributing to inequality in access to ART (23% and 18%, respectively). These two factors were also the main contributors to the disparity in treatment outcomes based on CD4 count measurements, where occupation contributed 24%, and age contributed 15% to the CI. Meanwhile, the inequality in treatment adherence was mainly attributed to education and occupation (47% and 16%, respectively). The negative value of the contribution of occupation to adherence inequality showed that while the overall inequality is pro-rich, occupation had a reverse effect, lessening the disparity. Education and occupation were also the main contributors to the inequality in treatment outcomes when the quality of life is measured. Notably, a large part of all four indexes is explained by the error term of the regression.</p><table-wrap id="pone.0168687.t004" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0168687.t004</object-id><label>Table 4</label><caption><title>Decomposition of SES inequalities in ART access, adherence and outcome treatments.</title></caption><alternatives><graphic id="pone.0168687.t004g" xlink:href="pone.0168687.t004"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="center" rowspan="2" colspan="1">Characteristics</th><th align="center" colspan="2" rowspan="1">Late access to ART</th><th align="center" colspan="2" rowspan="1">ART adherence</th><th align="center" colspan="2" rowspan="1">HRQOL</th><th align="center" colspan="2" rowspan="1">Current CD4 cell count</th></tr><tr><th align="center" rowspan="1" colspan="1">Marginal effect</th><th align="center" rowspan="1" colspan="1">Contribution (%)</th><th align="center" rowspan="1" colspan="1">Marginal effect</th><th align="center" rowspan="1" colspan="1">Contribution (%)</th><th align="center" rowspan="1" colspan="1">Marginal effect</th><th align="center" rowspan="1" colspan="1">Contribution (%)</th><th align="center" rowspan="1" colspan="1">Marginal effect</th><th align="center" rowspan="1" colspan="1">Contribution (%)</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Gender</bold></td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Age</bold></td><td align="center" rowspan="1" colspan="1">-0.005</td><td align="center" rowspan="1" colspan="1">18%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">0.012</td><td align="center" rowspan="1" colspan="1">6%</td><td align="center" rowspan="1" colspan="1">0.004</td><td align="center" rowspan="1" colspan="1">15%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Marital status</bold></td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">2%</td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">4%</td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">2%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Education</bold></td><td align="center" rowspan="1" colspan="1">-0.006</td><td align="center" rowspan="1" colspan="1">23%</td><td align="center" rowspan="1" colspan="1">0.010</td><td align="center" rowspan="1" colspan="1">47%</td><td align="center" rowspan="1" colspan="1">0.016</td><td align="center" rowspan="1" colspan="1">8%</td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">4%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Occupation</bold></td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">2%</td><td align="center" rowspan="1" colspan="1">-0.003</td><td align="center" rowspan="1" colspan="1">-16%</td><td align="center" rowspan="1" colspan="1">0.032</td><td align="center" rowspan="1" colspan="1">16%</td><td align="center" rowspan="1" colspan="1">0.006</td><td align="center" rowspan="1" colspan="1">24%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Religion</bold></td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">-2%</td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">-4%</td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">1%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Level of clinic</bold></td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">2%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">1%</td><td align="center" rowspan="1" colspan="1">0.011</td><td align="center" rowspan="1" colspan="1">5%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">-2%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Drug use</bold></td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">4%</td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">4%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">1%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>HIV stage</bold></td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">-5%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">-0.003</td><td align="center" rowspan="1" colspan="1">-2%</td><td align="center" rowspan="1" colspan="1">-0.002</td><td align="center" rowspan="1" colspan="1">-6%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Duration of ART</bold></td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">5%</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">0%</td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">-1%</td><td align="center" rowspan="1" colspan="1">-0.001</td><td align="center" rowspan="1" colspan="1">-5%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Residual</bold></td><td align="center" rowspan="1" colspan="1">-0.014</td><td align="center" rowspan="1" colspan="1">51%</td><td align="center" rowspan="1" colspan="1">0.013</td><td align="center" rowspan="1" colspan="1">62%</td><td align="center" rowspan="1" colspan="1">0.131</td><td align="center" rowspan="1" colspan="1">67%</td><td align="center" rowspan="1" colspan="1">0.017</td><td align="center" rowspan="1" colspan="1">68%</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Inequality (total)</bold></td><td align="center" rowspan="1" colspan="1">-0.027</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">0.021</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">0.196</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">0.025</td><td align="center" rowspan="1" colspan="1"></td></tr></tbody></table></alternatives></table-wrap></sec><sec sec-type="conclusions" id="sec017"><title>Discussion</title><p>This study used a concentration index (CI) to investigate the presence of inequality in ART access, adherence and treatment outcomes among PLWH in Vietnam. We also decomposed the CI to identify the contributors of some SES variables to the inequalities. Our analysis indicated that the poor tended to have more timely access ARV treatment but had lower HRQOL, as compared to the rich. Furthermore, decomposition results suggested the minor contributions of socioeconomic factors to these inequalities.</p><p>Timely access to ART service plays a crucial role in HIV treatment, as delaying ART treatment can lead to an increased risk of HIV-related opportunistic infections and mortality, poor responses to treatment, and reduced life expectancy [<xref rid="pone.0168687.ref035" ref-type="bibr">35</xref>–<xref rid="pone.0168687.ref037" ref-type="bibr">37</xref>]. This study showed that the majority of respondents had late ART initiation, which was consistent with previous reports in Vietnam and other developing countries [<xref rid="pone.0168687.ref021" ref-type="bibr">21</xref>,<xref rid="pone.0168687.ref023" ref-type="bibr">23</xref>,<xref rid="pone.0168687.ref038" ref-type="bibr">38</xref>]. Nonetheless, we found a small pro-poor pattern in ART initiation regarding different SES groups (CI = -0.027). This value of CI is considerably small compared to the inequality in accessing general health care service in Vietnam (CI = 0.10–0.26) [<xref rid="pone.0168687.ref039" ref-type="bibr">39</xref>]. A possible explanation is that since ART has been provided freely in Vietnam, people can access treatment regardless of socioeconomic disadvantages. However, as foreign funding will decrease rapidly in the upcoming years, PLWH will have to pay for their own medications. This suggests that the income-related inequality will be worse if subsidies are unavailable for poor PLWH, who cannot afford ART treatment [<xref rid="pone.0168687.ref040" ref-type="bibr">40</xref>].</p><p>Compliance to ART treatment is a strict requirement for high effectiveness in HIV treatment [<xref rid="pone.0168687.ref005" ref-type="bibr">5</xref>,<xref rid="pone.0168687.ref041" ref-type="bibr">41</xref>]. Overall, the results suggest that most of the patients had good adherence to ART treatment. The results also indicated that the relationship between SES and inequality in ART adherence was relatively small among PLWH. This finding is similar to other prior studies, which indicated that socioeconomic factors might not have a significant impact on adherence among patients [<xref rid="pone.0168687.ref042" ref-type="bibr">42</xref>,<xref rid="pone.0168687.ref043" ref-type="bibr">43</xref>].</p><p>The disparities in treatment outcome varied based on CD4 cell counts and quality of life measurements. The positive value of CI represented a pro-rich tendency in the treatment outcomes. However, low concentration indexes when using CD4 cell counts indicated that the poor and the rich experienced somewhat similar clinical effectiveness of ART. This result was consistent with a previous longitudinal study, which found that SES did not have a significant influence on the change in CD4 cell count [<xref rid="pone.0168687.ref044" ref-type="bibr">44</xref>]. When quality of life measurement was utilized, the result showed a greater level of inequality; in particular, people with better SES tended to have better HRQOL. This can be attributed to the fact that people with high SES have a higher chance to access better living conditions and good health care services than poor people. This finding was consistent with prior studies in Vietnam that lower income, unemployment, and lower education attainment were related to lower HRQOL [<xref rid="pone.0168687.ref032" ref-type="bibr">32</xref>,<xref rid="pone.0168687.ref045" ref-type="bibr">45</xref>].</p><p>In addition, the difference can be explained by the distinct nature of each indicator. CD4 cell count is purely a clinical indicator, which is mainly affected by treatment regimen, drug quality, and the patient’s adherence to treatment. In the context of Vietnam, ART was received free of charge with comparable quality in the whole country, and with a similar level of adherence, the CD4 cell count does not significantly vary. Meanwhile, EQ-5D-5L scores and VAS scores reflected the psychological aspect of health, as well as the patients’ outlook towards living with HIV, which is mainly affected by individual socioeconomic status. A prior study about the psychometrics of the EQ-5D-5L instrument suggested that this tool has the potential to contribute to HIV treatment monitoring, along with clinical indicators such as CD4 cells and viral load [<xref rid="pone.0168687.ref032" ref-type="bibr">32</xref>]. Notably, in this study, VAS score for HRQOL was used to identify the optimal threshold instead of EQ-5D-5L index. According to a recent meta-analysis, VAS demonstrated good reliability and better discriminate validity than EQ-5D-5L in HIV treatment monitoring [<xref rid="pone.0168687.ref008" ref-type="bibr">8</xref>,<xref rid="pone.0168687.ref032" ref-type="bibr">32</xref>]. Additionally, EQ-5D-5L, as well as other generic instruments such as EQ-5D-3L, can have a high ceiling effect, which can influence the responsiveness of patients [<xref rid="pone.0168687.ref008" ref-type="bibr">8</xref>].</p><p>Decomposition revealed the contribution of various SES characteristics to the level of inequality, which is mostly affected by education and occupation. The results also showed that inequality in access, adherence, and outcomes of ARV treatment had patterns similar to the contributions of SES characteristics in comparison to those of other chronic diseases [<xref rid="pone.0168687.ref046" ref-type="bibr">46</xref>–<xref rid="pone.0168687.ref048" ref-type="bibr">48</xref>]. Meanwhile, high residual errors meant that a large proportion of contributions to inequalities were unexplained factors. For example, a study indicated that people experiencing discrimination and culture barriers were more likely to withdraw from treatment [<xref rid="pone.0168687.ref049" ref-type="bibr">49</xref>]. In addition, low quality of ART services was a factor that reduced the HRQOL of ART patients [<xref rid="pone.0168687.ref045" ref-type="bibr">45</xref>]. Further studies are needed to elucidate the impacts of a range of factors such on the levels of the individual (e.g. stigma), community (e.g. culture) and facility (e.g. quality of services, distance to access, etc.).</p><p>Although PLWH could access to ART without income barriers, the proportion of people receiving late ARV treatment was high. It suggested that HIV-related services should be effectively and efficiently scaled-up, as well as integrated into other health care facilities to improve their accessibility [<xref rid="pone.0168687.ref023" ref-type="bibr">23</xref>]. Integrating ART into other health care services will narrow the distance gap to access to this service, as well as reduce the operational cost of ART clinics, and promote community engagement to support the treatment [<xref rid="pone.0168687.ref017" ref-type="bibr">17</xref>,<xref rid="pone.0168687.ref050" ref-type="bibr">50</xref>]. A review of Suthar et al. (2014) suggests that integrating ART services with other services such as maternal care, tuberculosis, and drug addiction treatment enhanced ART coverage significantly [<xref rid="pone.0168687.ref051" ref-type="bibr">51</xref>].</p><p>Given the the dramatic contribution of occupational factors to the inequalities, vocational training and job referrals should be considered as potential interventions along with providing ART services. These have been shown to be effecting in improving HRQOL in Vietnam [<xref rid="pone.0168687.ref009" ref-type="bibr">9</xref>]. Moreover, financial mechanisms such as national subsidies or health insurance schemes should be provided, as theyare potentially beneficial for PLWH in reducing income-related inequalities in the access and utilization of ART services.</p><p>Third, in addition to the clinical measurements of outcomes such as CD4 cell count and viral load, HRQOL, as well as the capacity for daily living should be used as regular monitoring tools in HIV treatments, especially among poor people. For clinical practice, a meta-analysis of Bach et al. (year) suggested that during the course of ART treatment, HRQOL measurements were sensitive and responsive to the long-term changes of clinical experience among PLWH, which can help physicians to provide timely support to the patients [<xref rid="pone.0168687.ref008" ref-type="bibr">8</xref>]. For research purposes, longitudinal information from those measurements could serve as a vital indicator for economic and clinical evaluation in the field of HIV/AIDS [<xref rid="pone.0168687.ref008" ref-type="bibr">8</xref>].</p><p>To our knowledge, this is the first study that evaluated the socio-economic disparities in ART access, adherence, and outcomes of treatment among PLWH in the context of the concentrated epidemic of HIV in Vietnam. However, several limitations should be taken into consideration. First, the information collected was mainly based on patient self-reporting, which can lead to recall bias or over-/under-estimate the true value of income or HRQOL. To minimize this bias, we used different questions to recheck the information to ensure the reliability of the answers. Second, although viral load is generally more accurate than CD4 cell counts in measuring the effects of ART, it was not utilized in this study. Third, the convenient sampling technique limits the accuracy of the generalization of the entire population. Furthermore, the study utilized cross-sectional design, which does not allow for conclusions regarding the causal relationships among factors. A longitudinal study should be conducted to monitor and measure ART access, adherence, and outcomes of treatment regarding inequity in order to provide more reliable evidence for policy-making. In addition, the SES was measured by income per-capital alone, which lacks a more comprehensive view of the respondents’ SES.</p></sec><sec sec-type="conclusions" id="sec018"><title>Conclusions</title><p>In conclusion, this study revealed the slightly pro-poor inequality in timely ART access, but pro-rich disparities in ARV treatment outcomes, especially in terms of HRQOL measurements. The findings also showed the minor contributions of socio-economic factors to inequality in ART access, adherence, and treatment outcomes among PLWH. 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