Evidence map›Paper›PMID 39494071›Full record

ArticleFrontiers in public health2024

Determinants of medication non-adherence among patients with chronic diseases at community pharmacy settings in South Gondar Zone, Northwest Ethiopia: a multicenter cross-sectional study.

Tilaye Arega Moges, Samuel Berihun Dagnew, Samuel Agegnew Wondm, Yared Andargie Ferede, Tesfagegn Gobezie Yiblet, Andargachew Almaw, Yohannes Shumet Yimer, Getu Tesfaw Addis, Woretaw Sisay Zewdu, Fisseha Nigussie Dagnew

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

10 authors.

Tilaye Arega MogesDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Samuel Berihun DagnewDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Samuel Agegnew WondmDepartment of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Yared Andargie FeredeDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Tesfagegn Gobezie YibletDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Andargachew AlmawDepartment of Medical Laboratory Science, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Yohannes Shumet YimerDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Getu Tesfaw AddisDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Woretaw Sisay ZewduDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Fisseha Nigussie DagnewDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medication non-adherence is a significant public health concern in managing patients with chronic diseases, and community pharmacists are on the frontline in the management of chronic medications. Chronic diseases require lifelong pharmacotherapy and understanding the determinants of medication adherence has paramount importance to develop strategies that improve medication adherence and treatment outcomes. Thus, this study aimed to assess the magnitude of medication non-adherence and its contributing factors among patients with chronic diseases attending community pharmacies in South Gondar Zone, Northwest Ethiopia. Methods: A multicenter cross-sectional study was conducted at community pharmacies in South Gondar Zone from September 01 to October 30, 2023. Medication adherence was assessed using a structured questionnaire using the Adherence in Chronic Diseases Scale (ACDS). Statistical Package for Social Sciences (SPSS) version 25 was used for analysis. Association between the outcome variable and independent variables was performed using binary logistic regression and a Results: Among three hundred and eighty six (386) study participants recruited in this study, more than half of them 222 (57.51%, 95%CI: 52.4% - 62.5%) were low adherent to their medications. Concerning determinants of medication non-adherence; the presence of side effects (AOR =2.1, 95%CI=1.33-3.29), unable to get ever counseling from community pharmacists (AOR=2.3, 95%CI= 1.46-3.58), and poor about their medications (AOR=3.1, 95% CI= 1.96-4.82) were significantly associated with patients' non-adherence to medications. Conclusion: The medication adherence level in this study was suboptimal, with a significant proportion of the patients being non-adherent to their medications. The presence of side effects, unable to get ever counseling, and poor knowledge about their medications were statistically significant factors of poorer medication adherence. Hence, healthcare professionals, especially community pharmacists, have a crucial role in designing the schedule for health education concerning the needs of these patients in community pharmacy settings.

Indexed as

Community Pharmacy ServicesDrug MonitoringAdolescentAdultAgedChronic DiseaseCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedPharmacistsSurveys and QuestionnairesYoung Adultchronic diseasedeterminantsmedication non-adherencepatient safetypharmacy

Identifiers

PMID39494071
PMCPMC11527677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.