Exploring Self-Management Behavior Profiles in Patients with Multimorbidity: A Sequential, Explanatory Mixed-Methods Study

• DOI: 10.2147/cia.s488890
• Publication Date: 2025-01-08T06:35:12Z
• Authors: Yujia Fu; Jingjie Wu; Zhiting Guo; Yajun Shi; Binyu Zhao; Jianing Yu; Dandan Chen; Qiwei Wu; Erxu Xue; Haoyang Du; Huafang Zhang; Jing Shao
• Keywords: Multimorbidity; Self-Management

This study aims to identify self-management behavior profiles in multimorbid patients, and explore how workload, capacity, their interactions influence these profiles. A sequential explanatory mixed-methods design was employed. In the quantitative phase (August 2022 May 2023), data were collected from 1,920 patients across nine healthcare facilities Zhejiang Province. Latent Profile Analysis (LPA) used distinct Multinomial logistic regression then assess of workload capacity dimensions (independent variables Model 1), as well interaction 2), on (dependent two models). The qualitative (May August 2023) included semi-structured interviews with 16 participants, Giorgi analysis method for categorization coding. Quantitative revealed three profiles: Symptom-driven (8.0%), Passive-engagement (29.5%), Active-cooperation (62.5%). Compared Profile, both Profiles associated a higher (OR > 1, P < 0.05) lower 0.05). An overall showed synergistic effect = 1.08, 95% CI 1.03-1.13, Qualitative identified six themes, related coping strategies integrated results highlighted characteristics: exhibited reactive behaviors limited health awareness, reduced engagement once symptoms stabilized, while proactively managed conditions. Identifying relationship provides valuable insights into patients' experiences, emphasizing need tailored interventions targeting improve outcomes.