Evidence map›Paper›PMID 30174460›Full record

ArticleDrug, healthcare and patient safety2018

Predictors of non adherence to antiretroviral therapy at an urban HIV care and treatment center in Tanzania.

Raphael Z Sangeda, Fausta Mosha, Said Aboud, Appolinary Kamuhabwa, Guerino Chalamilla, Jurgen Vercauteren, Eric Van Wijngaerden, Eligius F Lyamuya, Anne-Mieke Vandamme

Abstract read
In one paragraph

Article in Drug, healthcare and patient safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Factors associated with adherence to antiretroviral therapy in HIV-infected subjects and the use of indicators to characterize the treatment adhesion profile.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Raphael Z SangedaDepartment of Pharmaceutical Microbiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, sangeda@gmail.com.
Fausta MoshaMinistry of Health, Community Development, Gender, Elderly and Children, Dar es Salaam, Tanzania.
Said AboudDepartment of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Appolinary KamuhabwaDepartment of Clinical Pharmacy and Pharmacology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Guerino ChalamillaManagement and Development for Health (MDH), Dar es Salaam, Tanzania.
Jurgen VercauterenDepartment of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven - University of Leuven, Leuven, Belgium, sangeda@gmail.com.
Eric Van WijngaerdenDepartment of General Internal Medicine, University Hospitals, KU Leuven - University of Leuven, Belgium.
Eligius F LyamuyaDepartment of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Anne-Mieke VandammeDepartment of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven - University of Leuven, Leuven, Belgium, sangeda@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasurement of adherence to antiretroviral therapy (ART) can serve as a proxy for virologic failure in resource-limited settings. The aim of this study was to determine the factors underlying nonadherence measured by three methods. PATIENTS AND

methodsThis is a prospective longitudinal cohort of 220 patients on ART at Amana Hospital in Dar es Salaam, Tanzania. We measured adherence using a structured questionnaire combining a visual analog scale (VAS) and Swiss HIV Cohort Study Adherence Questionnaire (SHCS-AQ), pharmacy refill, and appointment keeping during four periods over 1 year. Overall adherence was calculated as the mean adherence for all time points over the 1 year of follow-up. At each time point, adherence was defined as achieving a validated cutoff for adherence previously defined for each method.

resultsThe proportion of overall adherence was 86.4% by VAS, 69% by SHCS-AQ, 79.8% by appointment keeping, and 51.8% by pharmacy refill. Forgetfulness was the major reported reason for patients to skip their medications. In multivariate analysis, significant predictors to good adherence were older age, less alcohol consumption, more advanced World Health Organization clinical staging, and having a lower body mass index with odds ratio (CI): 3.11 (1.55-6.93), 0.24 (0.09-0.62), 1.78 (1.14-2.84), and 0.93 (0.88-0.98), respectively.

conclusionWe found relatively good adherence to ART in this setting. Barriers to adherence include young age and perception of well-being.

Indexed as

adherence barriersAIDSappointment keepingpharmacy refillresource-limited settingsself-report

Identifiers

PMID30174460
PMCPMC6109655

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.