Evidence map›Paper›PMID 40997074›Full record

ArticlePloS one2025

Determinants of medication adherence among older adults with type 2 diabetes using the health action process approach: A cross-sectional study.

Shiva Mohammadi, Bahareh Khorami, Maryam Seyedtabib, Zhila Najafpour

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shiva MohammadiDepartment of Health care Management, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Bahareh KhoramiDepartment of Health care Management, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Maryam SeyedtabibDepartment of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Zhila NajafpourDepartment of Health care Management, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID https://orcid.org/0000-0003-0258-8015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsMedication adherence is a determinant of managing chronic disease. Failure to adhere to treatment can result in disease progression, increased hospitalizations, and a higher risk of complications and mortality. This study aimed to determine the level of medication adherence in older adults with type 2 diabetes based on the Health Action Process Approach (HAPA).

methodsThis study is a descriptive-analytical cross-sectional study that was conducted on 179 older adults with type 2 diabetes. Data were collected using the Morisky Medication Adherence Scale (MMAS-8-Item) and the HAPA questionnaire. We used the chi-square test to compare adherence to medication by demographic characteristics and multiple binary logistic regression analysis to predict factors related to medication adherence based on the HAPA dimensions.

resultsA total of 179 participants (87 men and 92 women) with a mean age of 64.65 ± 4.99 years were enrolled. Low medication adherence was reported by 62% of participants. No significant associations were found between socio-demographic factors (gender, marital status, education, employment, and income) and adherence levels. Logistic regression analysis revealed that smoking (OR = 4.309, 95% CI [1.18, 15.67], p = 0.027) and perceived barriers to adherence (OR = 1.036, 95% CI [1.01, 1.06], p = 0.001) were significantly associated with increased odds of medication non-adherence. Conversely, higher recovery self-efficacy (OR = 0.924, 95% CI: 0.86-0.99, p = 0.027) and coping planning (OR = 0.963, 95% CI: 0.93-0.99, p = 0.022) were associated with reduced odds of non-adherence. The most common self-reported reasons for suboptimal adherence were lack of affordability (17.5%), lack of family support (10%), and poor understanding of the disease (9.4%).

conclusionThis study highlights that older people had suboptimal adherence to medication. Smoking and perceived barriers were significant risk factors, increasing the likelihood of poor adherence. Conversely, higher levels of recovery self-efficacy and coping planning served as protective factors, reducing the risk of non-adherence. Policymakers and planners should consider the mentioned factors in designing interventions to change behavior for chronic diseases like diabetes.

Indexed as

Diabetes Mellitus, Type 2Medication AdherenceAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID40997074
PMCPMC12463231

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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.