Evidence map›Paper›PMID 33154631›Full record

ArticlePatient preference and adherence2020

Medication Non-Adherence and Associated Factors Among Diabetic Patients Visiting General Hospitals in the Eastern Zone of Tigrai, Northern Ethiopia.

Ephrem Mebrahtu Araya, Haylay Araya Gebrezgabiher, Gebretsadkan Hintsa Tekulu, Niguse Meles Alema, Desalegn Getnet, Hirut Teame Gebru, Betelhem Anteneh Adamu

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors at 3 institutions in 1 country.

Ephrem Mebrahtu ArayaDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia.ORCID 0000-0001-5202-7406
Haylay Araya GebrezgabiherDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia.ORCID 0000-0003-2467-9866
Gebretsadkan Hintsa TekuluDepartment of Pharmacognosy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.ORCID 0000-0002-2301-1453
Niguse Meles AlemaDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia.ORCID 0000-0003-3439-4688
Desalegn GetnetDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia.ORCID 0000-0001-9384-7398
Hirut Teame GebruDepartment of Public Health, Colleges of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia.ORCID 0000-0002-7519-8133
Betelhem Anteneh AdamuDepartment of Pharmacognosy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-4321-1209
Adigrat University · ETMekelle University · ETUniversity of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMedication non-adherence is a major public health problem among diabetes mellitus patients. However, there is a lack of data regarding its magnitude and the factors contributing to Ethiopia's non-adherence, especially in the Tigrai region. This study was conducted to assess the magnitude of non-adherence and its contributing factors among diabetes mellitus patients in the Eastern Zone of Tigrai, Northern Ethiopia. MATERIALS AND

methodsA hospital-based cross-sectional study was conducted at Adigrat and Wukro General Hospitals using a pre-tested, self-administered, semi-structured questionnaire developed from the relevant literature and a checklist developed to review patient medical cards for the period of the 15th of March to the 15th of July, 2019. Data were analyzed using Statistical Package for Social Sciences version 20. Association between the dependent and the independent variable was performed using logistic regression and a p-value of <0.05 was considered significant.

resultsFrom a total of 321 study participants, 63.9% of the patients were non-adherent to their medications. Two-month dose issued on each visit (AOR = 2.865, 95% CI 1.380-5.949), dose issued for more than three months (AOR = 4.314, 95% CI 1.526-12.195), monthly income below 500 birr (AOR = 5.048, 95% CI 2.094-12.168), monthly income between 500 and 2000 birr (AOR = 2.593, 95% CI 1.032-6.517), distance greater than 24 kilometers from hospital to home (AOR = 10.091, 95% CI 3.509-29.020), more than four prescribed medications per visit (AOR=7.192, 95% CI= 2.171-23.824), never receiving counseling (AOR=22.334, 95% CI= 9.270-53.810), and diabetes-related admission (AOR=0.248, 95% CI= 0.078-0.789) were significantly associated with patients' non-adherence to diabetes mellitus medications.

conclusionThe level of diabetic medication adherence was suboptimal, and our study highlights that better monthly earning, nearby health-care accessibility, fewer prescribed medication, and getting appropriate counseling about diabetes mellitus were predictive of adherence to medications. Hence, an urgent intervention targeting the development of guidelines that involve these determinates should be employed to improve health care.

Indexed as

diabetes mellitusEthiopiamedication non-adherencepatients

Identifiers

PMID33154631
PMCPMC7605964
OpenAlexW3096614496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.