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We determined the trends in <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> adherence during the periods of therapeutic advances, wider use of <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> and greater attention to <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> adherence. To understand the general trends in medication adherence, we compared <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> adherence with medications for other common chronic conditions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A retrospective cohort study using Medicaid claims between 2001 and 2012 from 14 <jats:styled-content style=\"fixed-case\">US<\/jats:styled-content> states with the highest <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content> prevalence. Medicaid is the largest source of care for <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content> patients in the <jats:styled-content style=\"fixed-case\">US<\/jats:styled-content>. We identified Medicaid beneficiaries with <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content> who initiated <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> between 2001 and 2010 (n=23,343). Comparison groups included (1) <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010 persons who initiated a statin, angiotensin\u2010converting enzyme inhibitor or angiotensin receptor blocker (<jats:styled-content style=\"fixed-case\">ACEI<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">ARB<\/jats:styled-content>), or metformin and (2) <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>+ persons who initiated these control medications while on and not on <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content>. We estimated adjusted odds of &gt;90% medication implementation during the two years following initiation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The proportion of <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>+ persons with &gt;90% <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> implementation increased from 33.5% in those who initiated in 2001 to 46.4% in 2005 and 52.4% in 2010. <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> initiators in 2007 to 2010 had 53% increased odds of &gt;90% implementation compared to those in 2001 to 2003 (adjusted <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content> 1.53, 99% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>: 1.34 to 1.75). Older age, male, White race, newer <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> regimens and absence of substance use indicators were also associated with increased odds of &gt;90% <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> implementation. No or minimal improvements were found in the implementation of control medications in <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010 persons. For <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010 persons, the adjusted <jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>s comparing 2007\u20132010 to 2001\u20132003 were 1.06, 1.01 and 1.19 for statins, <jats:styled-content style=\"fixed-case\">ACEI<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">ARB<\/jats:styled-content>, metformin respectively. <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>+ persons who were on <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> had, on average, 15.0 (<jats:styled-content style=\"fixed-case\">SD<\/jats:styled-content>: 4.2) and 16.1 (<jats:styled-content style=\"fixed-case\">SD<\/jats:styled-content>: 3.4) percentage points higher &gt;90% implementation rates of concurrent statins, <jats:styled-content style=\"fixed-case\">ACEI<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">ARB<\/jats:styled-content> or metformin compared to <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\u2010 persons and <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>+ persons who were not on <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Adherence to <jats:styled-content style=\"fixed-case\">ART<\/jats:styled-content> substantially improved between 2001 and 2012. Nevertheless, the absolute rates of &gt;90% implementation were low for all groups examined. Substantial disparities by age, sex and race were present, drawing attention to the need to continue to enhance medication adherence. Further studies are required to examine whether these trends and disparities persist in the most recent period.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jia2.25382","type":"journal-article","created":{"date-parts":[[2019,8,23]],"date-time":"2019-08-23T07:26:04Z","timestamp":1566545164000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Trends in medication adherence in <scp>HIV<\/scp> patients in the <scp>US<\/scp>, 2001 to 2012: an observational cohort study"],"prefix":"10.1002","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2870-976X","authenticated-orcid":false,"given":"Bora","family":"Youn","sequence":"first","affiliation":[{"name":"Department of Health Services, Policy &amp; Practice Brown University School of Public Health Providence RI USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theresa I","family":"Shireman","sequence":"additional","affiliation":[{"name":"Department of Health Services, Policy &amp; Practice Brown University School of Public Health Providence RI USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoojin","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Health Services, Policy &amp; Practice Brown University School of Public Health Providence RI USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9985-9266","authenticated-orcid":false,"given":"Omar","family":"Gal\u00e1rraga","sequence":"additional","affiliation":[{"name":"Department of Health Services, Policy &amp; Practice Brown University School of Public Health Providence RI USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ira B","family":"Wilson","sequence":"additional","affiliation":[{"name":"Department of Health Services, Policy &amp; Practice Brown University School of Public Health Providence RI USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"US Department of Health and Human Services.Guidelines for the use of antiretroviral agents in HIV\u20101 infected adults and adolescents. 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