Medication non-adherence among heart failure patients: a multi-hospital, multi-dimensional analytical study in Punjab, Pakistan

Heart failure (HF) has been a significant health problem among the population, with a significant impact on morbidity, mortality, and health care expenditure across the world. In Pakistan, HF-specific non-adherence data are limited, which restricts clinicians to come up with interventions that can be used to address the at-risk population. Accordingly, the newly-conducted study intended to determine the incidence of medication non-adherence and predictors at various levels (sociodemographic, clinical, treatment-related, and behavioral) among heart failure patients. This survey was a cross-sectional questionnaire survey among 9,377 eligible patients between January 2024 and April 2025 in 20 public and private healthcare facilities across Punjab, Pakistan. The primary outcome was non-adherence to medications assessed through the Self-Efficacy for Appropriate Medication Scale (SEAMS) and self-reported number of pills. Study variables were summarized using descriptive statistics. Chi-square/Fisher’s exact test, independent t-test/ANOVA, and a generalized linear model (GLM) with a logit link function (multivariable logistic regression) were employed to assess associations with demographic characteristics. Seaborn and Matplotlib were used to create a heatmap and an odds ratio plot, respectively. Non-adherence to medication is alarmingly prevalent among heart failure (Hf) patients in Punjab, Pakistan (50.1%), and the mean SEAMS score was 31.65 ± 7.69, indicating moderate to high levels of self-efficacy in medication-taking behavior. Socio-demographic predictors including female gender (AOR = 1.415, 95% CI: 1.039 − 1.926), primary and secondary education (AOR = 1.285, 95% CI: 1.074–1.481), monthly income 10,000-25000 (AOR = 1.292, 95% CI: 0.616–0.993), no health insurance (AOR = 1.276, 95% CI: 1.138–1.430) had increased odds of non-adherence. Clinical and health-related predictors such as the presence of comorbidities, especially diabetes (AOR = 1.164, 95% CI: 1.0511.428), and non-hospitalized patients (AOR = 1.236, 95% CI: 1.122–1.362). Non-adherence to medication is extremely common in heart failure patients and depends on various sociodemographic, clinical, and behavioral factors. Specific interventions to deal with these determinants can aid in improving adherence and clinical outcomes.

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Journal
BMC Cardiovascular Disorders
Published
2026-07-23
DOI
https://doi.org/10.1186/s12872-026-06142-8
Primary Topic
Medication Adherence and Compliance
Type
article
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article

Medication non-adherence among heart failure patients: a multi-hospital, multi-dimensional analytical study in Punjab, Pakistan

Javeria Saleem, Hafsa Arshad, Syed Mehmood ul Hassan, Muhammad Arshed et al.
BMC Cardiovascular Disorders
Medication Adherence and Compliance
article

Medication non-adherence among heart failure patients: a multi-hospital, multi-dimensional analytical study in Punjab, Pakistan

Javeria Saleem, Hafsa Arshad, Syed Mehmood ul Hassan, Muhammad Arshed, Mehwish Kiran, Sarosh Ali, Ali Hassan Gillani, Yu Fang, Hina lateef, Ali Jawa, Muhammad Farooq Umer
article en

Abstract

Heart failure (HF) has been a significant health problem among the population, with a significant impact on morbidity, mortality, and health care expenditure across the world. In Pakistan, HF-specific non-adherence data are limited, which restricts clinicians to come up with interventions that can be used to address the at-risk population. Accordingly, the newly-conducted study intended to determine the incidence of medication non-adherence and predictors at various levels (sociodemographic, clinical, treatment-related, and behavioral) among heart failure patients. This survey was a cross-sectional questionnaire survey among 9,377 eligible patients between January 2024 and April 2025 in 20 public and private healthcare facilities across Punjab, Pakistan. The primary outcome was non-adherence to medications assessed through the Self-Efficacy for Appropriate Medication Scale (SEAMS) and self-reported number of pills. Study variables were summarized using descriptive statistics. Chi-square/Fisher’s exact test, independent t-test/ANOVA, and a generalized linear model (GLM) with a logit link function (multivariable logistic regression) were employed to assess associations with demographic characteristics. Seaborn and Matplotlib were used to create a heatmap and an odds ratio plot, respectively. Non-adherence to medication is alarmingly prevalent among heart failure (Hf) patients in Punjab, Pakistan (50.1%), and the mean SEAMS score was 31.65 ± 7.69, indicating moderate to high levels of self-efficacy in medication-taking behavior. Socio-demographic predictors including female gender (AOR = 1.415, 95% CI: 1.039 − 1.926), primary and secondary education (AOR = 1.285, 95% CI: 1.074–1.481), monthly income 10,000-25000 (AOR = 1.292, 95% CI: 0.616–0.993), no health insurance (AOR = 1.276, 95% CI: 1.138–1.430) had increased odds of non-adherence. Clinical and health-related predictors such as the presence of comorbidities, especially diabetes (AOR = 1.164, 95% CI: 1.0511.428), and non-hospitalized patients (AOR = 1.236, 95% CI: 1.122–1.362). Non-adherence to medication is extremely common in heart failure patients and depends on various sociodemographic, clinical, and behavioral factors. Specific interventions to deal with these determinants can aid in improving adherence and clinical outcomes.

BMC Cardiovascular Disorders
Services Institute of Medical Sciences (PK), Baqai Medical University (PK), Services Hospital (PK), Shaikh Zayed Medical College and Hospital (PK), King Faisal University (SA), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 7%
Medication Adherence and Compliance
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