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Introduction <p>Medication adherence is essential for the effective management of chronic diseases; however, adherence among patients remains suboptimal in China. Understanding the multidimensional determinants of adherence is critical in designing interventions to improve treatment outcomes. The health ecology model (HEM) provides a comprehensive framework that integrates individual, behavioral, social, and environmental influences on health behaviors.</p> Aim <p>This study aimed to identify the multilevel determinants of medication adherence among Chinese patients with chronic diseases using an ecological framework based on the HEM and to provide evidence to inform pharmacist- and policy-driven strategies to enhance adherence.</p> Method <p>Data were derived from the 2021 Psychology and Behavior Investigation of Chinese Residents, a nationally representative survey of 1162 adults with chronic diseases. Medication adherence was assessed using the Medication Adherence Rating Scale. Independent variables were categorized into five hierarchical levels according to the HEM: personal traits, behavioral characteristics, interpersonal networks, working and living conditions, and policy environment. Binary logistic regression analyses were performed sequentially to identify factors associated with good medication adherence.</p> Results <p>Among the participants, 23.8% demonstrated good adherence to medication. In the final regression model (AUC = 0.721; Hosmer–Lemeshow <i>p</i> = 0.790; R<sup>2</sup> = 0.168), higher adherence was significantly associated with older age (OR 1.616, <i>p</i> &lt; 0.01), lower depression levels (OR 0.663–0.869, <i>p</i> &lt; 0.05), absence of alcohol use (OR 1.485, <i>p</i> &lt; 0.05), being married OR 1.829, <i>p</i> &lt; 0.01), higher education (OR 1.784, <i>p</i> &lt; 0.05), higher income (OR 1.679, <i>p</i> &lt; 0.01), and eligibility for medical subsidies (OR 1.763, <i>p</i> &lt; 0.01).</p> Conclusion <p>This nationwide study demonstrated that medication adherence among Chinese patients with chronic diseases is influenced by interconnected personal, psychosocial, and socioeconomic factors. Multifaceted interventions, including pharmacist involvement in adherence monitoring, family-based support, mental health screening, and the expansion of subsidy programs, may improve medication adherence and optimize chronic disease management.</p>

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Multilevel determinants of medication adherence among Chinese patients with chronic diseases: an ecological analysis based on the health ecology model

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月1日

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  • Linnan Yang,
  • Yaqi Wu,
  • Zixin Gu,
  • Qiran Cao,
  • Zixuan Zhang,
  • Yuan He

摘要

Introduction

Medication adherence is essential for the effective management of chronic diseases; however, adherence among patients remains suboptimal in China. Understanding the multidimensional determinants of adherence is critical in designing interventions to improve treatment outcomes. The health ecology model (HEM) provides a comprehensive framework that integrates individual, behavioral, social, and environmental influences on health behaviors.

Aim

This study aimed to identify the multilevel determinants of medication adherence among Chinese patients with chronic diseases using an ecological framework based on the HEM and to provide evidence to inform pharmacist- and policy-driven strategies to enhance adherence.

Method

Data were derived from the 2021 Psychology and Behavior Investigation of Chinese Residents, a nationally representative survey of 1162 adults with chronic diseases. Medication adherence was assessed using the Medication Adherence Rating Scale. Independent variables were categorized into five hierarchical levels according to the HEM: personal traits, behavioral characteristics, interpersonal networks, working and living conditions, and policy environment. Binary logistic regression analyses were performed sequentially to identify factors associated with good medication adherence.

Results

Among the participants, 23.8% demonstrated good adherence to medication. In the final regression model (AUC = 0.721; Hosmer–Lemeshow p = 0.790; R2 = 0.168), higher adherence was significantly associated with older age (OR 1.616, p < 0.01), lower depression levels (OR 0.663–0.869, p < 0.05), absence of alcohol use (OR 1.485, p < 0.05), being married OR 1.829, p < 0.01), higher education (OR 1.784, p < 0.05), higher income (OR 1.679, p < 0.01), and eligibility for medical subsidies (OR 1.763, p < 0.01).

Conclusion

This nationwide study demonstrated that medication adherence among Chinese patients with chronic diseases is influenced by interconnected personal, psychosocial, and socioeconomic factors. Multifaceted interventions, including pharmacist involvement in adherence monitoring, family-based support, mental health screening, and the expansion of subsidy programs, may improve medication adherence and optimize chronic disease management.