Literature DB >> 25426940

The combination of pill count and self-reported adherence is a strong predictor of first-line ART failure for adults in South Africa.

Peng Wu, Brent A Johnson, Jean B Nachega, Baohua Wu, Claudia E Ordonez, Anna Q Hare, Rachel Kearns, Richard Murphy, Henry Sunpath, Vincent C Marconi1.   

Abstract

BACKGROUND: Suboptimal adherence to antiretroviral therapy (ART) is a strong predictor of virologic failure (VF) among people with HIV. Various methods such as patient self-report, pill counts and pharmacy refills have been utilized to monitor adherence. However, there are limited data on the accuracy of combining methods to better predict VF in routine clinical settings. We examined various methods to assess adherence including pill count, medication possession ratio (MPR), and self-reported adherence in order to determine which was most highly associated with VF after > 6 months on ART.
METHODS: We conducted a secondary analysis of data from a case-control study. At enrollment, pharmacy refill data were collected retrospectively from the medical chart, pill counts were completed to derive a pill count adherence ratio (PCAR) and a self-report questionnaire was administered to all participants. Parametric smooth splines and receiver operator characteristic (ROC) analyses were carried out to assess the accuracy of the adherence methods.
RESULTS: 458 patients were enrolled from October 2010 to June 2012. Of these, 158 (34.50%) experienced VF (cases) and 300 (65.50%) were controls. The median (IQR) PCAR was 1.10 (0.99-1.14) for cases and 1.13 (1.08-1.18) for controls (p < 0.0001). The median MPR was 1.00 (0.97-1.07) for cases and 1.03 (0.96-1.07) for controls (p = 0.83). Combination of PCAR and self-reported questions was highly associated with VF.
CONCLUSION: In this setting, a combination of pill count adherence and self-report adherence questions had the highest diagnostic accuracy for VF. Further validation of this simple, low-cost combination is warranted in large prospective studies.

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Year:  2014        PMID: 25426940      PMCID: PMC4608026          DOI: 10.2174/1570162x1205141121102501

Source DB:  PubMed          Journal:  Curr HIV Res        ISSN: 1570-162X            Impact factor:   1.581


  61 in total

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3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

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4.  How often is medication taken as prescribed? A novel assessment technique.

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5.  Low lopinavir plasma or hair concentrations explain second-line protease inhibitor failures in a resource-limited setting.

Authors:  Gert Uves van Zyl; Thijs E van Mens; Helen McIlleron; Michele Zeier; Jean B Nachega; Eric Decloedt; Carolina Malavazzi; Peter Smith; Yong Huang; Lize van der Merwe; Monica Gandhi; Gary Maartens
Journal:  J Acquir Immune Defic Syndr       Date:  2011-04       Impact factor: 3.731

6.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

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7.  Assessing the effectiveness of pharmacy-based adherence interventions on antiretroviral adherence in persons with HIV.

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8.  Impact of antidepressant drug adherence on comorbid medication use and resource utilization.

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9.  Early warning indicators for first-line virologic failure independent of adherence measures in a South African urban clinic.

Authors:  Vincent C Marconi; Baohua Wu; Jane Hampton; Claudia E Ordóñez; Brent A Johnson; Dinesh Singh; Sally John; Michelle Gordon; Anna Hare; Richard Murphy; Jean Nachega; Daniel R Kuritzkes; Carlos del Rio; Henry Sunpath
Journal:  AIDS Patient Care STDS       Date:  2013-12       Impact factor: 5.078

10.  Measuring adherence to antiretroviral therapy in a diverse population using a visual analogue scale.

Authors:  Thomas P Giordano; David Guzman; Richard Clark; Edwin D Charlebois; David R Bangsberg
Journal:  HIV Clin Trials       Date:  2004 Mar-Apr
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  13 in total

1.  A Self-Reported Adherence Measure to Screen for Elevated HIV Viral Load in Pregnant and Postpartum Women on Antiretroviral Therapy.

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Journal:  AIDS Behav       Date:  2017-02

2.  Patient-Initiated Repackaging of Antiretroviral Therapy, Viral Suppression and Drug Resistance.

Authors:  Habib O Ramadhani; Charles Muiruri; Venance P Maro; Balthazar Nyombi; Michael Omondi; Julian B Mushi; Eileen S Lirhunde; John A Bartlett
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Review 3.  Adherence, resistance, and viral suppression on dolutegravir in sub-Saharan Africa: implications for the TLD era.

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Journal:  AIDS       Date:  2021-12-15       Impact factor: 4.177

4.  Religious Beliefs and Depression: Psychosocial Factors Affecting HIV Treatment Outcomes in South Africa.

Authors:  Sally John; Rachel Kearns; Brent A Johnson; Claudia E Ordóñez; Baohua Wu; Anna Hare; Peng Wu; Patrick Sullivan; Henry Sunpath; Vincent C Marconi
Journal:  New Voices Psychol       Date:  2016

5.  Novel Predictors of Poor Retention Following a Down-Referral from a Hospital-Based Antiretroviral Therapy Program in South Africa.

Authors:  Jonathan Colasanti; Darius McDaniel; Brent Johnson; Carlos Del Rio; Henry Sunpath; Vincent C Marconi
Journal:  AIDS Res Hum Retroviruses       Date:  2015-12-09       Impact factor: 2.205

6.  Comparison of six methods to estimate adherence in an ART-naïve cohort in a resource-poor setting: which best predicts virological and resistance outcomes?

Authors:  Robin Wood; Gary Maartens; Catherine Orrell; Karen Cohen; Rory Leisegang; David R Bangsberg
Journal:  AIDS Res Ther       Date:  2017-04-04       Impact factor: 2.250

7.  HIV care and treatment models and their association with medication possession ratio among treatment-experienced adults in three African countries.

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8.  Modeling Adherence Interventions Among Youth with HIV in the United States: Clinical and Economic Projections.

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Journal:  AIDS Behav       Date:  2021-02-06

Review 9.  Clinical effectiveness of dolutegravir in the treatment of HIV/AIDS.

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10.  Longitudinal engagement trajectories and risk of death among new ART starters in Zambia: A group-based multi-trajectory analysis.

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Journal:  PLoS Med       Date:  2019-10-29       Impact factor: 11.069

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