Evidence map›Paper›PMID 41267034›Full record

ArticleBMC public health2025

Non-adherence to oral antidiabetic medications among patients with type 2 diabetes: evidence from a nationwide multicentre study in a lower-middle-income country.

Muhammad Arshed, Mehwish Kiran, Waseela Ashraf, Muhammad Kashif Shahzad Virk, Shafqat Qamer, Muhammad Farooq Umer, Ahmad Umar, Javeria Saleem, Ali Hassan Gillani, Asif Hanif and 3 more

Abstract readMulticenter Study
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

13 authors.

Muhammad ArshedDepartment of Community Medicine, Baqai Medical College, Baqai Medical University, Karachi, Pakistan. drarshedchaudhary@gmail.com.ORCID http://orcid.org/0009-0005-0683-9610
Mehwish KiranDepartment of Community Medicine, Baqai Medical College, Baqai Medical University, Karachi, Pakistan.
Waseela AshrafTech and Software, University of Europe for Applied Sciences, Dubai, UAE.ORCID http://orcid.org/0000-0002-2236-8581
Muhammad Kashif Shahzad VirkSpecialized Healthcare and Medical Education Department, Govt. Said Mitha Teaching Hospital Lahore, Lahore, Pakistan.
Shafqat QamerDepartment of Basic Medical Sciences, College of Medicine, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia.
Muhammad Farooq UmerPreventive Dental Sciences Department, College of Dentistry, King Faisal University, Hofuf, Al-Ahsa, 31982, Saudi Arabia.
Ahmad UmarFaculty of Allied Health Sciences, University Institute of Public Health, The University of Lahore, Lahore, Pakistan.
Javeria SaleemDepartment of Public Health, Green International University, Lahore, Pakistan.ORCID http://orcid.org/0000-0003-4295-7057
Ali Hassan GillaniDept of Pharmacy Administration and Clinical Pharmacy, Xi'an Jiaotong University, Xi'An, Shaanxi, China.
Asif HanifDepartment of Biostatistics, Faculty of medicine, Sakarya University, Sakarya, Turkey.ORCID http://orcid.org/0000-0002-2670-6402
Muhammad NaeemFaculty of Allied Health Sciences, University Institute of Public Health, The University of Lahore, Lahore, Pakistan.
Muhammad Maaz ArifContech International Health Consultants, Lahore, Pakistan.
Syed Hanzila AzharInstitute of Health Sciences, University of Debrecen, Debrecen, Hungary. hnzyla@mailbox.unideb.hu.ORCID http://orcid.org/0009-0006-5189-8174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-adherence to oral antidiabetic medications is a critical, multifactorial challenge that undermines disease management nationwide. This study aimed to determine the prevalence and predictors of non-adherence among patients with type 2 diabetes (T2DM) across Pakistan. We conducted a nationwide cross-sectional study between December 2023 and March 2025 in 225 healthcare facilities across all provinces of Pakistan. A total of 41,095 participants were selected using a multistage random sampling approach. Medication adherence was evaluated with self-reported pill counts and the Self-Efficacy for Appropriate Medication Use Scale (SEAMS). Multivariable logistic regression using a generalized linear model (GLM) logit approach was employed integrated with Interaction analysis to discover predictors of non-adherence.

resultNon-adherence was present in 59.9% (n=24,616) of cases (n=24,616). Factors associated with reduced adherence included being female (AOR = 0.229, 95% CI: 0.067-0.779, P = 0.02), having only primary or secondary education (AOR = 0.186, 95% CI: 0.166-0.208, P < 0.001), absence of hospitalization, taking fewer medications per day, less frequent dosing schedules, and uncontrolled HbA1c levels. In contrast, factors linked to increased adherence were being married (AOR = 4.118, 95% CI: 3.611-4.695, P < 0.001), being a non-smoker (AOR = 12.98, 95% CI: 11.53-14.62, P < 0.001), having no family history of diabetes (AOR = 1.074, 95% CI: 1.021-1.129, P = 0.005), and having more than one comorbid condition.

conclusionNon-adherence to oral antidiabetic medication is prevalent and influenced by diverse personal, socioeconomic, and health-related factors. Targeted interventions addressing modifiable risk factors could improve adherence, ultimately reduce the healthcare burden and enhancing outcomes for patients with diabetes in Pakistan.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsAdministration, OralAdultAgedCross-Sectional StudiesDeveloping CountriesFemaleHumansMaleMedication AdherenceMiddle AgedPakistanHypoglycemic AgentsAntidiabeticCross-sectionalMedication adherenceNationwide studyOdds ratiosOral antidiabetic medicationsPakistanRisk factors

Identifiers

PMID41267034
PMCPMC12632086

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.