Evidence map›Paper›PMID 42752647›Full record

ArticlePloS one2026

Factors associated with medication adherence among adult diabetic patients of Bangladesh.

Simanta Roy, Mohammad Azmain Iktidar, Mowshomi Mannan Liza, Madhu Ritu Bhadra Medha, Tonmoy Chowdhury, Nasrat Khanam Nila, Arpita Biswangree, Irfat Islam Eva, Nishat Tasnim, Pratik Kumar Banik and 5 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Simanta RoyDepartment of Epidemiology, Robert Stempel College of Public Health & Social Work, Miami, Florida, United States of America.
Mohammad Azmain IktidarDepartment of Public Health, North South University, Dhaka-1229, Bangladesh.ORCID https://orcid.org/0000-0002-9073-5451
Mowshomi Mannan LizaDepartment of Public Health, North South University, Dhaka-1229, Bangladesh.
Madhu Ritu Bhadra MedhaDepartment of Public Health, North South University, Dhaka-1229, Bangladesh.ORCID https://orcid.org/0000-0002-6327-8128
Tonmoy ChowdhurySchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0000-0002-2759-0886
Nasrat Khanam NilaDepartment of Public Health, North South University, Dhaka-1229, Bangladesh.
Arpita BiswangreeDepartment of Public Health, North South University, Dhaka-1229, Bangladesh.ORCID https://orcid.org/0009-0009-5502-744X
Irfat Islam EvaComilla Medical College and Hospital, Dr Akhtar Hameed Khan Rd, Kuchaitoli, Cumilla, Bangladesh.ORCID https://orcid.org/0000-0002-3822-7062
Nishat TasnimSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0006-4758-0710
Pratik Kumar BanikSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0003-7168-9968
Shourov BaruaSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0005-8188-3435
Mahzabeen IslamSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0000-0002-1794-8661
Sreshtha ChowdhuryDepartment of Epidemiology, Robert Stempel College of Public Health & Social Work, Miami, Florida, United States of America.
Gladys IbanezDepartment of Epidemiology, Robert Stempel College of Public Health & Social Work, Miami, Florida, United States of America.
Mohammad Delwer Hossain HawladerDepartment of Public Health, North South University, Dhaka-1229, Bangladesh.ORCID https://orcid.org/0000-0002-1443-6257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMedication non-adherence remains a considerable public health concern among diabetic patients in Bangladesh. It can lead to waste of medication, disease progression, a lower quality of life, and increased use of medical resources. The aim of this study is to comprehensively assess the factors associated with medication adherence among diabetic patients in Bangladesh. MATERIALS AND

methodsA sample of 426 diagnosed diabetic patients was conveniently recruited from government hospitals (secondary and tertiary level), outpatient clinics, and physicians' private practices between August and September 2023. A pretested semi-structured questionnaire was employed for interviewer-administered data collection. The questionnaire included socio-demographic history, personal characteristics, disease-related information, and a medication adherence rating scale (MARS-5). A multivariable logistic regression model was used to explore the factors associated with medication adherence.

resultsThe mean age of the participants was 55.49±10.19 years, and half of them were female (50.00%) and lived with a partner (50.70%). The prevalence of poor medication adherence was 42.25% (95% CI: 37.63-47.01%). Participants who lived with a partner (AOR: 1.66, CI: 1.03-2.68), had higher educational status (AOR: 2.65, CI: 1.08-6.54), understanding of all current medication (AOR: 1.69, CI: 1.04-2.77), satisfaction with healthcare (AOR: 2.53, CI: 1.32-4.88) were associated with good medication adherence. Conversely, a higher number of medications (AOR: 0.87, CI: 0.76-1.00), self-medication (AOR: 0.35, CI: 0.18-0.70), and poor mental health (AOR: 0.53, CI: 0.30-0.92) were associated with a lower likelihood of good adherence.

conclusionsMedication non-adherence among diabetic patients is considered to be highly prevalent in Bangladesh. Several factors, including educational status, understanding of medications, satisfaction with healthcare, self-medication, mental health, and number of medications, were associated with medication adherence.

Indexed as

Diabetes MellitusDrug MonitoringMedication AdherenceAdultAgedBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedQuality of LifeSurveys and Questionnaires

Identifiers

PMID42752647
PMCPMC13585251

What OpenQuestion holds

Textmetadata
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.