Evidence map›Paper›PMID 30984325›Full record

ArticleThe Pan African medical journal2019

Predictors of non-adherence to antiretroviral therapy among HIV patients in secondary health care facilities in Kano State- Nigeria: a case-control study.

Sudawa Aminu Usman, Adamu Shehu, Olufemi Ajumobi, Saheed Gidado, Ibrahim Dalhatu, Muhammad Balogun, Mohammed Riyad, Ibrahim Saude, Peter Adewuyi, Peter Nsubuga

Abstract read
In one paragraph

Article in The Pan African medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Clinical Effect of Nursing Based on the Kano Model in Emergency Multiple Injuries.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  3. Observational
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

10 authors.

Sudawa Aminu UsmanNigeria Field Epidemiology and Laboratory Training Program, Nigeria.
Adamu ShehuAhmadu Bello University, Zaria, Nigeria.
Olufemi AjumobiNigeria Field Epidemiology and Laboratory Training Program, Nigeria.
Saheed GidadoNigeria Field Epidemiology and Laboratory Training Program, Nigeria.
Ibrahim DalhatuState House Medical Center, Abuja, Nigeria.
Muhammad BalogunNigeria Field Epidemiology and Laboratory Training Program, Nigeria.
Mohammed RiyadAminu Kano Teaching Hospital, Kano, Nigeria.
Ibrahim SaudeNigeria Field Epidemiology and Laboratory Training Program, Nigeria.
Peter AdewuyiNigeria Field Epidemiology and Laboratory Training Program, Nigeria.
Peter NsubugaGlobal Public Health Solutions.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTreatment success requires both a sustainable supply of Antiretroviral Therapy (ART) to clinics and lifelong adherence to treatment by patients. Poor adherence to medication may lead to treatment failure as a result of developing HIV resistance strains. Based on WHO 2014 guideline, over 26 million people will be additionally enrolled globally. Optimal treatment requires identification of patients with suboptimal adherence for targeted intervention. The aim of the study was to determine the predictors of non-adherence to ART.

methodsAn unmatched 1:2 case-control study with 68 cases using simple random sampling. A case was defined as an ART patient who failed to achieve increase in CD4 count of 100cell/mm

resultsA total of 204 patients were enrolled, mean age of cases was 36 (Standard Deviation Sd=8.8), n=68 and controls 37 (Sd=9.8), n=136. Of enrollees, 69.6% (142) were females. Mean duration on ART was 4.9 years for cases and 4.5 years for controls (standard deviation = ± 2.2 years). The commonest reason for missing drugs was forgetfulness (58% cases). On multivariate analysis, having formal education (Adjusted Odds Ratio [aOR] = 3.03, 95% CI = 1.5-6.0) and income above minimum wage, (aOR = 2.38, 95% CI = 1.06-4.76) were independently associated with non-adherence. The commonest reason for missing drugs was forgetfulness (58% cases).

conclusionIn conclusion, educated people and those with higher income were more likely to be non-adherent and should be the focus of adherence counseling. Some form of reminders like use of telephone should be adopted to address forgetfulness.

Indexed as

CD4 Lymphocyte CountMedication AdherenceAdultAnti-HIV AgentsCase-Control StudiesEducational StatusFemaleHIV InfectionsHumansIncomeLogistic ModelsMaleMiddle AgedMultivariate AnalysisNigeriaSecondary Care CentersAnti-HIV AgentsantiretroviralNon-adherencepredictors

Identifiers

PMID30984325
PMCPMC6445334

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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.