Evidence map›Paper›PMID 32695232›Full record

ArticleDiabetology & metabolic syndrome2020

Predictors of poor adherence to antidiabetic therapy in patients with type 2 diabetes: a cross-sectional study insight from Ethiopia.

Gebre Teklemariam Demoz, Shishay Wahdey, Degena Bahrey, Halefom Kahsay, Gebremariam Woldu, Yirga Legesse Niriayo, Andrew Collier

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology & metabolic syndrome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Gebre Teklemariam DemozSchool of Pharmacy, College of Health Sciences, Aksum University, PO.Box: 298, Aksum, Ethiopia.ORCID 0000-0002-2534-821X
Shishay WahdeySchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Degena BahreySchool of Nursing, College of Health Sciences, Aksum University, Aksum, Ethiopia.
Halefom KahsaySchool of Pharmacy, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia.
Gebremariam WolduSchool of Pharmacy, College of Health Sciences, Aksum University, PO.Box: 298, Aksum, Ethiopia.
Yirga Legesse NiriayoSchool of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Andrew CollierDepartment of General Medicine, University Hospital Ayr, Ayr, KA6 6DX Scotland, UK.
Aksum University · ETMekelle University · ETAdigrat University · ETUniversity Hospital Ayr · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor adherence to the medical regimen is a major clinical problem in the management of patients with diabetes. This study sought to investigate the level of medication adherence to antidiabetic therapy and to identify possible predictors of poor adherence.

methodsA hospital based cross-sectional study was conducted from July 2018 to June 2019 among randomly selected follow-up T2D patients at a hospital diabetes clinic. Data were collected through patient interviews, followed by medical chart review. Adherence to antidiabetic therapy that we assessed patients' responses using validated Brief Medication Questionnaire (BMQ). To identify predictors of poor medication adherence, binary logistic regression analyses were performed using SPSS version 25. Statistical significance was set at

resultsOf the total 357 study participants, 25% were non-adherent to their antidiabetic therapy. Predictors statistically associated with poor adherence were; being female gender (AOR = 1.71, 95% CI 1.01-2.76), and presence of at least one diabetic complication (AOR = 2.02, 95% CI 1.02-3.22). Participants with having at least primary level of education were more likely to adhere to anti-diabetes medication (AOR = 0.42, 95% CI 0.18-0.96). The most common self-reported reasons for non-adherence were forgetfulness, unavailability of medication plus the unaffordability of anti-diabetes medications.

conclusionsThe proportion of participants' adherent to anti-diabetes therapies was suboptimal. Being female, the presence of chronic diabetic complications and having no formal education were the main predictors of poor adherence. Strategies that aimed at improving adherence to antidiabetic medications deemed to be compulsory.

Indexed as

Antidiabetic medicationEthiopiaMedication non-adherencePredictorsType 2 diabetes

Identifiers

PMID32695232
PMCPMC7364580
OpenAlexW3043652938

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.