Evidence map›Paper›PMID 40804443›Full record

ArticleScientific reports2025

Prevalence and determinants of antidepressant non-adherence among patients with major depressive disorder in Ethiopia: a multi-center cross sectional study.

Gashaw Sisay Chanie, Eyayaw Ashete Belachew, Liknaw Workie Limenh, Alemante Tafese Beyna, Assefa Kebad Mengesha, Zemenu Wube Bayleyegn, Mihret Melese, Jember Azanaw, Ashenafi Kibret Sendekie, Wudneh Simegn

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Gashaw Sisay ChanieDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. gashawsisay058@gmail.com.
Eyayaw Ashete BelachewDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Liknaw Workie LimenhDepartment of Pharmaceutics, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Alemante Tafese BeynaDepartment of pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Assefa Kebad MengeshaDepartment of pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Zemenu Wube BayleyegnDepartment of Social and Administrative Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Mihret MeleseDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Jember AzanawDepartment of Human Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Ashenafi Kibret SendekieDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Wudneh SimegnDepartment of Social and Administrative Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-adherence to antidepressant medication is a well-established factor contributing to treatment failure among patients with major depressive disorder. Addressing this issue is crucial not only for enhancing individual patient outcomes but also for alleviating the broader public health burden. The study aimed to assess antidepressant medication non-adherence and its determinants among patients with major depressive disorder at public hospital psychiatric clinics in Ethiopia. Between June 12, 2024, and November 13, 2024, a multicenter cross-sectional study was conducted at public hospital psychiatric clinics in Ethiopia. Antidepressant non-adherence was assessed using a self-reported tablet count tool with pharmacy refill records available in patients' charts at the time of the interview. The severity of adverse drug reactions (ADRs) was evaluated using the Antidepressant Side-Effect Checklist (ASEC), while the Naranjo ADR Probability Scale was employed to determine the likelihood of ADRs. Data analysis was performed using SPSS version 26.0. Frequencies and percentages, were used to describe the characteristics of study participants. For factors associated with antidepressant non-adherence, multivariate logistic regression was conducted. The association between explanatory variable and non-adherence was assessed using odds ratios (ORs) with 95% CIs. The prevalence of antidepressant medication non-adherence was 139 (32.9%). Female gender [AOR = 3.29, 95% CI (2.04, 5.31)], illiteracy [AOR = 2.17, 95% CI (1.35, 3.50)], unemployment [AOR = 3.40, 95% CI (2.15, 5.38)], treatment duration greater than 25 months [AOR = 1.89, 95% CI (1.05, 3.41)], and severe ADRs [AOR = 3.94, 95% CI (1.68, 9.23)] were significantly associated with Antidepressant medication non-adherence. Being female, illiterate, unemployed, having a treatment duration of more than 25 months, and experiencing severe adverse drug reactions were significantly associated with non-adherence. These findings highlight the need for targeted interventions to improve adherence among these high-risk groups.

Indexed as

Antidepressive AgentsMajor Depressive DisorderMedication AdherenceAdolescentAdultCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedPrevalenceYoung AdultAntidepressive AgentsAdherence determinantsAntidepressant non-adherenceEthiopiaMajor depressive disorder

Identifiers

PMID40804443
PMCPMC12350675

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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 Socratic graph.