Underutilization of the AIDS Drug Assistance Program: Associated Factors and Policy Implications

Background. The AIDS Drug Assistance Program (ADAP) provides antiretroviral medications to low‐income individuals with HIV infection. Methods. A prospective cohort study of ADAP utilization, measured using medication possession ratio (MPR), was conducted during the 2008 calendar year at the Universi...

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Veröffentlicht in:Health services research 2011-06, Vol.46 (3), p.982-995
Hauptverfasser: Godwin, Noah C., Willig, James H., Nevin, Christa R., Lin, Hui-Yi, Allison, Jeroan, Gaddis, Kathy, Peterson, Jennifer, Saag, Michael S., Mugavero, Michael J., Raper, James L.
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container_issue 3
container_start_page 982
container_title Health services research
container_volume 46
creator Godwin, Noah C.
Willig, James H.
Nevin, Christa R.
Lin, Hui-Yi
Allison, Jeroan
Gaddis, Kathy
Peterson, Jennifer
Saag, Michael S.
Mugavero, Michael J.
Raper, James L.
description Background. The AIDS Drug Assistance Program (ADAP) provides antiretroviral medications to low‐income individuals with HIV infection. Methods. A prospective cohort study of ADAP utilization, measured using medication possession ratio (MPR), was conducted during the 2008 calendar year at the University of Alabama at Birmingham 1917 HIV Clinic. Multivariable ordinal logistic regression evaluated factors associated with ADAP utilization. Results. Among 245 patients, MPR quartiles (Q) were the following: Q193 percent. In ordinal logistic regression, younger age (OR=0.59 per 10 years; 95 percent CI=0.44–0.79), nonwhite males (2.18; 1.18–4.04), lower CD4 count (2.79 for
doi_str_mv 10.1111/j.1475-6773.2010.01223.x
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The AIDS Drug Assistance Program (ADAP) provides antiretroviral medications to low‐income individuals with HIV infection. Methods. A prospective cohort study of ADAP utilization, measured using medication possession ratio (MPR), was conducted during the 2008 calendar year at the University of Alabama at Birmingham 1917 HIV Clinic. Multivariable ordinal logistic regression evaluated factors associated with ADAP utilization. Results. Among 245 patients, MPR quartiles (Q) were the following: Q1&lt;69 percent, Q2=69–83 percent, Q3=84–93 percent, Q4&gt;93 percent. In ordinal logistic regression, younger age (OR=0.59 per 10 years; 95 percent CI=0.44–0.79), nonwhite males (2.18; 1.18–4.04), lower CD4 count (2.79 for &lt;200 cells/mm3; 1.44–5.43), and a history of alcohol abuse (2.11; 1.02–4.37) were associated with poor ADAP utilization. Conclusions. One quarter of ADAP enrollees had MPR below 69 percent, a level well below that associated with optimal HIV treatment outcomes, indicating a need for programmatic interventions to improve ADAP utilization.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/j.1475-6773.2010.01223.x</identifier><identifier>PMID: 21210795</identifier><identifier>CODEN: HESEA5</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Acquired immune deficiency syndrome ; adherence ; Adult ; Age ; AIDS ; AIDS (Disease) ; AIDS treatment ; Alabama ; Alcoholism ; Analysis ; Anti-HIV agents ; Anti-HIV Agents - economics ; Antiviral agents ; CD4 antigen ; Clinical outcomes ; Clinics ; Cohort analysis ; Drug abuse ; Drugs ; Female ; Health aspects ; Health Policy ; Health services utilization ; HIV ; HIV (Viruses) ; HIV Infections - drug therapy ; Human immunodeficiency virus ; Humans ; Immune response system ; Infection ; Insurance, Pharmaceutical Services - utilization ; Logistic Models ; Low income people ; Male ; Medical Assistance - utilization ; Medical research ; Medication Adherence ; Medicine, Experimental ; Multivariate Analysis ; Prescription drug plans ; Prospective Studies ; Public health ; Research Brief ; Risk Factors ; Social security ; Studies</subject><ispartof>Health services research, 2011-06, Vol.46 (3), p.982-995</ispartof><rights>Health Research and Educational Trust</rights><rights>Health Research and Educational Trust.</rights><rights>COPYRIGHT 2011 Health Research and Educational Trust</rights><rights>2011 Health Research and Education Trust 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c8003-5de11570fb71a482882b489eaf74523e6e69e5f6b0d768a9a7ea4633541375553</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097412/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097412/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27901,27902,30976,30977,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21210795$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Godwin, Noah C.</creatorcontrib><creatorcontrib>Willig, James H.</creatorcontrib><creatorcontrib>Nevin, Christa R.</creatorcontrib><creatorcontrib>Lin, Hui-Yi</creatorcontrib><creatorcontrib>Allison, Jeroan</creatorcontrib><creatorcontrib>Gaddis, Kathy</creatorcontrib><creatorcontrib>Peterson, Jennifer</creatorcontrib><creatorcontrib>Saag, Michael S.</creatorcontrib><creatorcontrib>Mugavero, Michael J.</creatorcontrib><creatorcontrib>Raper, James L.</creatorcontrib><title>Underutilization of the AIDS Drug Assistance Program: Associated Factors and Policy Implications</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Background. The AIDS Drug Assistance Program (ADAP) provides antiretroviral medications to low‐income individuals with HIV infection. Methods. A prospective cohort study of ADAP utilization, measured using medication possession ratio (MPR), was conducted during the 2008 calendar year at the University of Alabama at Birmingham 1917 HIV Clinic. Multivariable ordinal logistic regression evaluated factors associated with ADAP utilization. Results. Among 245 patients, MPR quartiles (Q) were the following: Q1&lt;69 percent, Q2=69–83 percent, Q3=84–93 percent, Q4&gt;93 percent. In ordinal logistic regression, younger age (OR=0.59 per 10 years; 95 percent CI=0.44–0.79), nonwhite males (2.18; 1.18–4.04), lower CD4 count (2.79 for &lt;200 cells/mm3; 1.44–5.43), and a history of alcohol abuse (2.11; 1.02–4.37) were associated with poor ADAP utilization. Conclusions. One quarter of ADAP enrollees had MPR below 69 percent, a level well below that associated with optimal HIV treatment outcomes, indicating a need for programmatic interventions to improve ADAP utilization.</description><subject>Acquired immune deficiency syndrome</subject><subject>adherence</subject><subject>Adult</subject><subject>Age</subject><subject>AIDS</subject><subject>AIDS (Disease)</subject><subject>AIDS treatment</subject><subject>Alabama</subject><subject>Alcoholism</subject><subject>Analysis</subject><subject>Anti-HIV agents</subject><subject>Anti-HIV Agents - economics</subject><subject>Antiviral agents</subject><subject>CD4 antigen</subject><subject>Clinical outcomes</subject><subject>Clinics</subject><subject>Cohort analysis</subject><subject>Drug abuse</subject><subject>Drugs</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health Policy</subject><subject>Health services utilization</subject><subject>HIV</subject><subject>HIV (Viruses)</subject><subject>HIV Infections - drug therapy</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Immune response system</subject><subject>Infection</subject><subject>Insurance, Pharmaceutical Services - utilization</subject><subject>Logistic Models</subject><subject>Low income people</subject><subject>Male</subject><subject>Medical Assistance - utilization</subject><subject>Medical research</subject><subject>Medication Adherence</subject><subject>Medicine, Experimental</subject><subject>Multivariate Analysis</subject><subject>Prescription drug plans</subject><subject>Prospective Studies</subject><subject>Public health</subject><subject>Research Brief</subject><subject>Risk Factors</subject><subject>Social security</subject><subject>Studies</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>N95</sourceid><sourceid>7QJ</sourceid><recordid>eNqFk19v0zAUxSMEYqXwFVAEEn8kWmzHjhMekEq7tRUVG4zB3oyb3KQuqT3iBDo-PU5buhZVI3lwdP27R_dG53iej1EXu-f1vIspZ52Q86BLkKsiTEjQXd7xWtuLu14LIcw7MSb0yHtg7RwhFAURve8dEUww4jFred8udAplXalC_ZaVMto3mV_NwO-NB-f-oKxzv2etspXUCfhnpclLuXjT1EyiZAWpfyKTypTWlzr1z0yhkmt_vLhy50rOPvTuZbKw8Ghztr2Lk-PP_VFncjoc93uTThIhFHRYChgzjrIpx5JGJIrIlEYxyIxTRgIIIYyBZeEUpTyMZCw5SBoGAaM44IyxoO29Xete1dMFpAnoqpSFuCrVQpbXwkgl9m-0monc_BQBijnFxAk83wiU5kcNthILZRMoCqnB1FZEcUhIGGL-fzKkccgIaYZ6cSuJEUERxcwt0vae_IPOTV1q98saPUYpJZGDnq6hXBYglM6MWyVpNEWPMI7dfJw6qnOAykGD29toyJQr7_HdA7x7U1io5GDDy70Gx1SwrHJZWzftcHLbMBs2MUUBOQjngf7pPv9sh5-BLKqZNUW9MtM--GoHnNZWaXBO1Vbls8quZ9nDH-_6Y2uMv1G4MdAvt-319h4j0UROzEWTLNEkSzSRE6vIiaUYHZ9_aj5vNnVpgeVWQJbfXZczqfj6YSjeXY4GHy_fT8SX4A8EMigL</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Godwin, Noah C.</creator><creator>Willig, James H.</creator><creator>Nevin, Christa R.</creator><creator>Lin, Hui-Yi</creator><creator>Allison, Jeroan</creator><creator>Gaddis, Kathy</creator><creator>Peterson, Jennifer</creator><creator>Saag, Michael S.</creator><creator>Mugavero, Michael J.</creator><creator>Raper, James L.</creator><general>Blackwell Publishing Inc</general><general>Health Research and Educational Trust</general><general>Blackwell Publishing Ltd</general><general>Blackwell Science Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201106</creationdate><title>Underutilization of the AIDS Drug Assistance Program: Associated Factors and Policy Implications</title><author>Godwin, Noah C. ; Willig, James H. ; Nevin, Christa R. ; Lin, Hui-Yi ; Allison, Jeroan ; Gaddis, Kathy ; Peterson, Jennifer ; Saag, Michael S. ; Mugavero, Michael J. ; Raper, James L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c8003-5de11570fb71a482882b489eaf74523e6e69e5f6b0d768a9a7ea4633541375553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>adherence</topic><topic>Adult</topic><topic>Age</topic><topic>AIDS</topic><topic>AIDS (Disease)</topic><topic>AIDS treatment</topic><topic>Alabama</topic><topic>Alcoholism</topic><topic>Analysis</topic><topic>Anti-HIV agents</topic><topic>Anti-HIV Agents - economics</topic><topic>Antiviral agents</topic><topic>CD4 antigen</topic><topic>Clinical outcomes</topic><topic>Clinics</topic><topic>Cohort analysis</topic><topic>Drug abuse</topic><topic>Drugs</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health Policy</topic><topic>Health services utilization</topic><topic>HIV</topic><topic>HIV (Viruses)</topic><topic>HIV Infections - drug therapy</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Immune response system</topic><topic>Infection</topic><topic>Insurance, Pharmaceutical Services - utilization</topic><topic>Logistic Models</topic><topic>Low income people</topic><topic>Male</topic><topic>Medical Assistance - utilization</topic><topic>Medical research</topic><topic>Medication Adherence</topic><topic>Medicine, Experimental</topic><topic>Multivariate Analysis</topic><topic>Prescription drug plans</topic><topic>Prospective Studies</topic><topic>Public health</topic><topic>Research Brief</topic><topic>Risk Factors</topic><topic>Social security</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Godwin, Noah C.</creatorcontrib><creatorcontrib>Willig, James H.</creatorcontrib><creatorcontrib>Nevin, Christa R.</creatorcontrib><creatorcontrib>Lin, Hui-Yi</creatorcontrib><creatorcontrib>Allison, Jeroan</creatorcontrib><creatorcontrib>Gaddis, Kathy</creatorcontrib><creatorcontrib>Peterson, Jennifer</creatorcontrib><creatorcontrib>Saag, Michael S.</creatorcontrib><creatorcontrib>Mugavero, Michael J.</creatorcontrib><creatorcontrib>Raper, James L.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Godwin, Noah C.</au><au>Willig, James H.</au><au>Nevin, Christa R.</au><au>Lin, Hui-Yi</au><au>Allison, Jeroan</au><au>Gaddis, Kathy</au><au>Peterson, Jennifer</au><au>Saag, Michael S.</au><au>Mugavero, Michael J.</au><au>Raper, James L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Underutilization of the AIDS Drug Assistance Program: Associated Factors and Policy Implications</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2011-06</date><risdate>2011</risdate><volume>46</volume><issue>3</issue><spage>982</spage><epage>995</epage><pages>982-995</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><coden>HESEA5</coden><abstract>Background. The AIDS Drug Assistance Program (ADAP) provides antiretroviral medications to low‐income individuals with HIV infection. Methods. A prospective cohort study of ADAP utilization, measured using medication possession ratio (MPR), was conducted during the 2008 calendar year at the University of Alabama at Birmingham 1917 HIV Clinic. Multivariable ordinal logistic regression evaluated factors associated with ADAP utilization. Results. Among 245 patients, MPR quartiles (Q) were the following: Q1&lt;69 percent, Q2=69–83 percent, Q3=84–93 percent, Q4&gt;93 percent. In ordinal logistic regression, younger age (OR=0.59 per 10 years; 95 percent CI=0.44–0.79), nonwhite males (2.18; 1.18–4.04), lower CD4 count (2.79 for &lt;200 cells/mm3; 1.44–5.43), and a history of alcohol abuse (2.11; 1.02–4.37) were associated with poor ADAP utilization. Conclusions. One quarter of ADAP enrollees had MPR below 69 percent, a level well below that associated with optimal HIV treatment outcomes, indicating a need for programmatic interventions to improve ADAP utilization.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><pmid>21210795</pmid><doi>10.1111/j.1475-6773.2010.01223.x</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
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source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection
subjects Acquired immune deficiency syndrome
adherence
Adult
Age
AIDS
AIDS (Disease)
AIDS treatment
Alabama
Alcoholism
Analysis
Anti-HIV agents
Anti-HIV Agents - economics
Antiviral agents
CD4 antigen
Clinical outcomes
Clinics
Cohort analysis
Drug abuse
Drugs
Female
Health aspects
Health Policy
Health services utilization
HIV
HIV (Viruses)
HIV Infections - drug therapy
Human immunodeficiency virus
Humans
Immune response system
Infection
Insurance, Pharmaceutical Services - utilization
Logistic Models
Low income people
Male
Medical Assistance - utilization
Medical research
Medication Adherence
Medicine, Experimental
Multivariate Analysis
Prescription drug plans
Prospective Studies
Public health
Research Brief
Risk Factors
Social security
Studies
title Underutilization of the AIDS Drug Assistance Program: Associated Factors and Policy Implications
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