Literature DB >> 12015870

Prevalence, predictors, and outcomes of early adherence after starting or changing antiretroviral therapy.

W Christopher Mathews1, Moira Mar-Tang, Craig Ballard, Brad Colwell, Kari Abulhosn, Craig Noonan, R Edward Barber, Tamara L Wall.   

Abstract

The objectives of this research were to assess prevalence and predictors of early antiretroviral therapy adherence using multiple indicators and to estimate effects of early adherence on subsequent HIV viral load and CD4+ lymphocyte responses. Study subjects were adults with HIV infection referred to an antiretroviral therapy-monitoring clinic for initiation or change in therapy between March 1998 and June 1999. The design was a prospective observational cohort involving baseline interview followed by 30 days of electronic adherence monitoring (MEMS), 30-day interview, and follow-up viral load at 1, 3, and 6 months. Adherence indicators included MEMS therapeutic coverage, observed/expected cap openings, and self-reported adherence assessed at 30 days. Of 235 consenting patients, 60 (26%) failed to complete 30 days of electronic monitoring (noncompleters). At 6 months, mean change from baseline plasma viral load was inferior among noncompleters (0.5 log vs. 1.7 log). Predictors of adherence, varying by adherence metric, included: gender, race, prior antiretroviral therapy experience, substance abuse, prior adherence behavior, health beliefs, and pharmacist prediction of adherence. Self-reported adherence was more sensitive in predicting viral load responses than MEMS-based measures and identified poor adherence at earlier time points. Approximately a quarter of consenting patients were unable to complete 30 days of MEMS monitoring, and early drop out was a poor prognostic sign. Predictors of adherence varied depending upon how adherence was measured. Differences in virologic response between patients with optimal or poor adherence may not emerge until several months after regimen change or initiation. Structured assessment of self-reported adherence is an inexpensive and useful tool to assist clinicians in monitoring adherence.

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Year:  2002        PMID: 12015870     DOI: 10.1089/10872910252930867

Source DB:  PubMed          Journal:  AIDS Patient Care STDS        ISSN: 1087-2914            Impact factor:   5.078


  12 in total

Review 1.  Concordance of adherence measurement using self-reported adherence questionnaires and medication monitoring devices.

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Review 2.  Self-report measures of antiretroviral therapy adherence: A review with recommendations for HIV research and clinical management.

Authors:  Jane M Simoni; Ann E Kurth; Cynthia R Pearson; David W Pantalone; Joseph O Merrill; Pamela A Frick
Journal:  AIDS Behav       Date:  2006-05

3.  Outcomes of pharmacist-assisted management of antiretroviral therapy in patients with HIV infection: A risk-adjusted analysis.

Authors:  Ofir Noah Nevo; Catherine R Lesko; Bradford Colwell; Craig Ballard; Stephen R Cole; W Christopher Mathews
Journal:  Am J Health Syst Pharm       Date:  2015-09-01       Impact factor: 2.637

4.  Drug use and medication adherence among HIV-1 infected individuals.

Authors:  Charles H Hinkin; Terry R Barclay; Steven A Castellon; Andrew J Levine; Ramani S Durvasula; Sarah D Marion; Hector F Myers; Douglas Longshore
Journal:  AIDS Behav       Date:  2007-03

Review 5.  A scoping review of studies comparing the medication event monitoring system (MEMS) with alternative methods for measuring medication adherence.

Authors:  Mohamed El Alili; Bernard Vrijens; Jenny Demonceau; Silvia M Evers; Mickael Hiligsmann
Journal:  Br J Clin Pharmacol       Date:  2016-05-02       Impact factor: 4.335

6.  Looking at Complicating Non-Biological Issues in Women with HIV.

Authors:  Chaturaka Rodrigo; Senaka Rajapakse
Journal:  J Glob Infect Dis       Date:  2010-01

7.  Illicit drug use and HIV treatment outcomes in a US cohort.

Authors:  Joseph Cofrancesco; Rebecca Scherzer; Phyllis C Tien; Cynthia L Gibert; Heather Southwell; Stephen Sidney; Adrian Dobs; Carl Grunfeld
Journal:  AIDS       Date:  2008-01-30       Impact factor: 4.177

8.  Predictors of adherence to glaucoma treatment in a multisite study.

Authors:  Paul F Cook; Sarah J Schmiege; Steven L Mansberger; Jeffrey Kammer; Timothy Fitzgerald; Malik Y Kahook
Journal:  Ann Behav Med       Date:  2015-02

9.  The impact of HIV clinical pharmacists on HIV treatment outcomes: a systematic review.

Authors:  Parya Saberi; Betty J Dong; Mallory O Johnson; Ruth M Greenblatt; Jennifer M Cocohoba
Journal:  Patient Prefer Adherence       Date:  2012-04-05       Impact factor: 2.711

10.  Drug Use is Associated with Delayed Advancement Along the HIV Care Continuum Among Transgender Women of Color.

Authors:  Cathy J Reback; Dennis Rünger; Jesse B Fletcher
Journal:  AIDS Behav       Date:  2021-07
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