Evidence map›Paper›PMID 42564465›Full record

ArticleAfrican health sciences2026

Determinants of non-adherence to diabetes treatment among patients at Hawassa University Comprehensive Referral Hospital, Ethiopia.

Melisew Wuchew, Ashenafi Yirga, Dawit Ayele, Sileshi Melesse, Mohammed Omar Musa Mohammed

Abstract read
In one paragraph

Article in African health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Melisew WuchewDepartment of Statistics, College of Natural and Computational Sciences, Hawassa University, Ethiopia.
Ashenafi YirgaDiscipline of Statistics, School of Agriculture and Science, University of KwaZulu Natal, Pietermaritzburg, Private Bag X01, Scottsville, 3209, South Africa.
Dawit AyeleDiscipline of Statistics, School of Agriculture and Science, University of KwaZulu Natal, Pietermaritzburg, Private Bag X01, Scottsville, 3209, South Africa.
Sileshi MelesseDiscipline of Statistics, School of Agriculture and Science, University of KwaZulu Natal, Pietermaritzburg, Private Bag X01, Scottsville, 3209, South Africa.
Mohammed Omar Musa MohammedCollege of Business Administration in Hawtat Bani Tamim, Prince Sattam Bin-Abdulaziz University, Al-Kharj, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus (DM) is a major metabolic disorder characterized by chronic hyperglycemia. Medication non-adherence remains a significant public health concern, particularly in sub-Saharan Africa, contributing to poor glycemic control and increased morbidity. Methods: This study assessed adherence using a multi-method tool, including self-reporting, a visual analog scale, pill identification tests, and pill counts. Data were collected from patients enrolled in the diabetes follow-up program at Hawassa University, Ethiopia, between 2008 and 2021. Ordinal logistic regression analysis was used to identify factors associated with treatment non-adherence using naturally ordered categorical data. Results: The multi-method tool revealed that patient adherence to antidiabetic drugs was 25.6% (low), 32.6% (moderate), and 41.8% (high). The analysis identified several significant predictors of adherence, including gender, depression frequency, knowledge about medication benefits, the quality of the relationship with care providers, the type of complications, satisfaction with care, educational level, and the frequency of participation in treatment decisions. Conclusions: Medication non-adherence remains a major challenge in diabetes management. Targeted interventions such as strengthening patient education, psychosocial support, and provider-patient communication, particularly for men and those with depressive symptoms, are essential to improve adherence and health outcomes.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Drug MonitoringHypoglycemic AgentsMedication AdherenceAdultCross-Sectional StudiesEthiopiaFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedHypoglycemic AgentsAdherenceAntidiabetic TreatmentDiabetes MellitusMulti-Method ToolOrdinal Logistic Regression

Identifiers

PMID42564465
PMCPMC13444307

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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.