Medication adherence and associated factors among patients with multimorbidity in Bangladesh: a cross-sectional study

Abstract Introduction Multimorbidity, which is an emerging public health issue, makes maintaining medication adherence challenging because of complex treatment regimens, multiple drug use, and the difficulties of managing several conditions simultaneously. This study aims to comprehensively assess the factors associated with medication adherence among patients with multimorbidity in Bangladesh. Materials and methods A convenience sample of 379 individuals with a diagnosis of two or more co-existing chronic diseases was gathered from secondary and tertiary government hospitals, outpatient clinics, and private medical practices between August and September 2023. Data was gathered through interviewers using a pretested semi-structured questionnaire. Sociodemographic history, personal traits, disease-related data, and the medication adherence rating scale (MARS-5) were all included in the questionnaire. The variables linked to medication adherence were investigated using a multivariable logistic regression model. Results Overall, 34.8% of participants demonstrated poor medication adherence, and male participants were less likely to adhere to medications than females (AOR = 0.47; 95% CI: 0.26–0.85). The higher number of prescribed medications (AOR = 0.85; 95% CI: 0.72–0.99), incomplete understanding of current medication (AOR = 0.55; 95% CI: 0.31–1.00), requiring assistance (AOR = 0.38; 95% CI: 0.20–0.72) or dependence on others for medication administration (AOR = 0.22; 95% CI: 0.06–0.88), and self-medication practices (AOR = 0.43; 95% CI: 0.23–0.82) were significantly associated with poor adherence. On the other hand, increasing age per year (AOR = 1.05; 95% CI: 1.02–1.09) and satisfaction with healthcare services (AOR = 3.95; 95% CI: 1.95–7.98) were strong predictors of good adherence. Conclusion Approximately one third of multimorbid patients were poor adherents to medication, and this was associated with increased medication burden, poor understanding, self-medication, and dependence on others. These findings suggest potential strategies for improving adherence, including patient education, simplification, and ease of administration, increased healthcare satisfaction, and shared decision-making. However, future studies are recommended to confirm these approaches.

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Journal
Discover Public Health
Published
2026-06-18
DOI
https://doi.org/10.1186/s12982-026-02044-4
Primary Topic
Chronic Disease Management Strategies
Type
article
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article

Medication adherence and associated factors among patients with multimorbidity in Bangladesh: a cross-sectional study

AN Chowdhury, Mohammad Azmain Iktidar, Kazi Sudipta Kabir, Tonmoy Chowdhury et al.
Discover Public Health
Chronic Disease Management Strategies
article

Medication adherence and associated factors among patients with multimorbidity in Bangladesh: a cross-sectional study

AN Chowdhury, Mohammad Azmain Iktidar, Kazi Sudipta Kabir, Tonmoy Chowdhury, Simanta Roy, Madhu Ritu Bhadra Medha, Humayra Afroz Pinky, Shovit Dutta, Md Moniruzzaman, Afnan Binta Amin, Ariba Jahin Punnya, Rumana Parveen, Deena Fariha, Nitisha Najiat, Nil Mayuri Chowdhury
article en

Abstract

Abstract Introduction Multimorbidity, which is an emerging public health issue, makes maintaining medication adherence challenging because of complex treatment regimens, multiple drug use, and the difficulties of managing several conditions simultaneously. This study aims to comprehensively assess the factors associated with medication adherence among patients with multimorbidity in Bangladesh. Materials and methods A convenience sample of 379 individuals with a diagnosis of two or more co-existing chronic diseases was gathered from secondary and tertiary government hospitals, outpatient clinics, and private medical practices between August and September 2023. Data was gathered through interviewers using a pretested semi-structured questionnaire. Sociodemographic history, personal traits, disease-related data, and the medication adherence rating scale (MARS-5) were all included in the questionnaire. The variables linked to medication adherence were investigated using a multivariable logistic regression model. Results Overall, 34.8% of participants demonstrated poor medication adherence, and male participants were less likely to adhere to medications than females (AOR = 0.47; 95% CI: 0.26–0.85). The higher number of prescribed medications (AOR = 0.85; 95% CI: 0.72–0.99), incomplete understanding of current medication (AOR = 0.55; 95% CI: 0.31–1.00), requiring assistance (AOR = 0.38; 95% CI: 0.20–0.72) or dependence on others for medication administration (AOR = 0.22; 95% CI: 0.06–0.88), and self-medication practices (AOR = 0.43; 95% CI: 0.23–0.82) were significantly associated with poor adherence. On the other hand, increasing age per year (AOR = 1.05; 95% CI: 1.02–1.09) and satisfaction with healthcare services (AOR = 3.95; 95% CI: 1.95–7.98) were strong predictors of good adherence. Conclusion Approximately one third of multimorbid patients were poor adherents to medication, and this was associated with increased medication burden, poor understanding, self-medication, and dependence on others. These findings suggest potential strategies for improving adherence, including patient education, simplification, and ease of administration, increased healthcare satisfaction, and shared decision-making. However, future studies are recommended to confirm these approaches.

Discover Public HealthVol. 23(1)
North South University (BD), Bangladesh University (BD), International Centre for Diarrhoeal Disease Research (BD), Bangladesh Livestock Research Institute (BD), BGC Trust University Bangladesh (BD), National Institute of Cardiovascular Diseases (BD), Shaheed Suhrawardy Medical College (BD), National Institute of Cancer Research and Hospital (BD), BRAC University (BD), Savitribai Phule Pune University (IN), Dhaka Medical College and Hospital (BD)
No poverty
Openalex Percentile: Top 7%
Chronic Disease Management Strategies
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