Evidence map›Paper›PMID 41025160›Full record

ArticleOsong public health and research perspectives2025

Factors influencing adherence to anti-tuberculosis treatment in Morocco: a cross-sectional study from the Béni Mellal-Khénifra region.

Mohamed Dellal, Sanae Batoui, Youness Aassem, Khalid Habbari

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Article in Osong public health and research perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mohamed DellalDepartment of Biology, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Béni Mellal, Morocco.
Sanae BatouiDepartment of Biology, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Béni Mellal, Morocco.
Youness AassemDepartment of Chemistry and Environment, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Béni Mellal, Morocco.
Khalid HabbariDepartment of Biology, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Béni Mellal, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAdherence to anti-tuberculosis treatment is essential for achieving successful outcomes and preventing the emergence of drug-resistant strains. This study aimed to evaluate adherence levels and identify factors associated with non-adherence among tuberculosis patients in the Béni Mellal-Khénifra region of Morocco. We hypothesized that sociodemographic, clinical, and behavioral factors influence adherence.

methodsA facility-based cross-sectional study was conducted from January 2023 to December 2024 in 2 Tuberculosis and Respiratory Disease Diagnostic Centers in the Béni Mellal-Khénifra region. A total of 481 patients who had been on treatment for at least 2 months were recruited using convenience sampling. Data were collected through structured, pre-tested questionnaires administered in face-to-face interviews and verified against treatment cards and medical records. Adherence was defined as taking ≥90% of prescribed doses. Multivariable logistic regression was used to identify independent predictors of non-adherence.

resultsAmong the 481 participants, 8.1% were non-adherent. Significant predictors of non-adherence included forgetfulness (adjusted odds ratio [AOR], 38.84; 95% confidence interval [CI], 11.35-132.88), adverse effects (AOR, 14.26; 95% CI, 3.17-64.13), male sex (AOR, 6.77; 95% CI, 1.45-31.60), rural residence (AOR, 4.42; 95% CI, 1.37-14.25), self-adjusted dosing (AOR, 5.83; 95% CI, 1.20-28.34), stopping treatment after symptom improvement (AOR, 6.56; 95% CI, 1.34-32.14), and missed follow-up visits (AOR, 6.74; 95% CI, 1.56-29.19).

conclusionAlthough overall adherence was high, 8.1% of patients were non-adherent. Strategies to improve adherence should focus on addressing forgetfulness, managing side effects, enhancing access in rural areas, and reinforcing patient education and follow-up systems to improve treatment outcomes in this and similar settings.

Indexed as

Anti-tuberculosis treatmentMoroccoNon-adherenceRisk factorsTreatment adherence

Identifiers

PMID41025160
PMCPMC12611531

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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.