Adherence to Antiretroviral Treatment and Correlation with Risk of Hospitalization among Commercially Insured HIV Patients in the United States
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{"title"=>"Adherence to antiretroviral treatment and correlation with risk of hospitalization among commercially insured hiv patients in the United States", "type"=>"journal", "authors"=>[{"first_name"=>"Paul E.", "last_name"=>"Sax", "scopus_author_id"=>"7005478002"}, {"first_name"=>"Juliana L.", "last_name"=>"Meyers", "scopus_author_id"=>"34872882700"}, {"first_name"=>"Michael", "last_name"=>"Mugavero", "scopus_author_id"=>"7801549937"}, {"first_name"=>"Keith L.", "last_name"=>"Davis", "scopus_author_id"=>"8580403600"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84857529579", "sgr"=>"84857529579", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0031591", "pmid"=>"22384040", "isbn"=>"10.1371/journal.pone.0031591", "pui"=>"364338050"}, "id"=>"6fe9b21e-b0f2-319d-9a0f-18c9e360ec11", "abstract"=>"Purpose A lower daily pill burden may improve adherence to antiretroviral treatment (ART) and clinical outcomes in patients with human immunodeficiency virus (HIV). This study assessed differences in adherence using the number of pills taken per day, and evaluated how adherence correlated with hospitalization. Methodology Commercially insured patients in the LifeLink database with an HIV diagnosis (International Classification of Diseases, 9th Revision, Clinical Modification code 042.xx) between 6/1/2006 and 12/31/2008 and receipt of a complete ART regimen were selected for inclusion. Patients were grouped according to their daily pill count and remained on ART for at least 60 days. Outcomes included adherence and rates of hospitalization. Adherence was measured as the proportion of days between the start and end of the regimen in which the patient maintained supply of all initiated ART components. Logistic regressions assessed the relationship between pills per day, adherence, and hospitalization, controlling for demographics, comorbidities, and ART-naïve (vs. experienced) status. Results 7,073 patients met the study inclusion criteria, and 33.4%, 5.8%, and 60.8% received an ART regimen comprising one, two, or three or more pills per day, respectively. Regression analysis showed patients receiving a single pill per day were significantly more likely to reach a 95% adherence threshold versus patients receiving three or more pills per day (odds ratio [OR] = 1.59; P<0.001). Regardless of the number of pills received per day, patients were over 40% less likely to have a hospitalization if they were adherent to therapy (OR = 0.57; P<0.001). Patients receiving a single pill per day were 24% less likely to have a hospitalization versus patients receiving three or more pills per day (OR = 0.76; P = 0.003). Conclusions ART consisting of a single pill per day was associated with significantly better adherence and lower risk of hospitalization in patients with HIV compared to patients receiving three or more pills per day.", "link"=>"http://www.mendeley.com/research/adherence-antiretroviral-treatment-correlation-risk-hospitalization-among-commercially-insured-hiv-p-2", "reader_count"=>44, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>4, "Student > Master"=>8, "Other"=>4, "Student > Bachelor"=>6, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>4, "Student > Master"=>8, "Other"=>4, "Student > Bachelor"=>6, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Agricultural and Biological Sciences"=>3, "Business, Management and Accounting"=>3, "Chemistry"=>1, "Computer Science"=>1, "Economics, Econometrics and Finance"=>2, "Engineering"=>1, "Environmental Science"=>1, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>22, "Pharmacology, Toxicology and Pharmaceutical Science"=>2, "Psychology"=>2, "Social Sciences"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>22}, "Social Sciences"=>{"Social Sciences"=>3}, "Psychology"=>{"Psychology"=>2}, "Unspecified"=>{"Unspecified"=>1}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>2}, "Engineering"=>{"Engineering"=>1}, "Chemistry"=>{"Chemistry"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>2}

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  • {"files"=>["https://ndownloader.figshare.com/files/675960"], "description"=>"<p>ART = antiretroviral therapy; CI = confidence interval; HMO = health maintenance organization; POS = point of service; PPO = preferred provider organization.</p>", "links"=>[], "tags"=>["achieving", "adherence", "multivariate", "logistic"], "article_id"=>346451, "categories"=>["Biotechnology", "Medicine", "Infectious Diseases"], "users"=>["Paul E. Sax", "Juliana L. Meyers", "Michael Mugavero", "Keith L. Davis"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0031591.t003", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predictors_of_Achieving_a_95_Adherence_Threshold_to_ART_Using_Multivariate_Logistic_Regression_/346451", "title"=>"Predictors of Achieving a 95% Adherence Threshold to ART, Using Multivariate Logistic Regression.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 08:27:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/675715"], "description"=>"<p>Frequency of Hospitalizations, by Cohort<sup>a</sup>.</p>", "links"=>[], "tags"=>["Infectious diseases", "public health and epidemiology", "Non-clinical medicine"], "article_id"=>346205, "categories"=>["Biotechnology", "Medicine", "Infectious Diseases"], "users"=>["Paul E. Sax", "Juliana L. Meyers", "Michael Mugavero", "Keith L. Davis"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0031591.g002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Frequency_of_Hospitalizations_by_Cohort_a_/346205", "title"=>"Frequency of Hospitalizations, by Cohort<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 08:26:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/675580"], "description"=>"<p>Sample Selection Flow Chart.</p>", "links"=>[], "tags"=>["Infectious diseases", "public health and epidemiology", "Non-clinical medicine"], "article_id"=>346067, "categories"=>["Biotechnology", "Medicine", "Infectious Diseases"], "users"=>["Paul E. Sax", "Juliana L. Meyers", "Michael Mugavero", "Keith L. Davis"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0031591.g001", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sample_Selection_Flow_Chart_/346067", "title"=>"Sample Selection Flow Chart.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 08:25:38"}

PMC Usage Stats | Further Information

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Relative Metric

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