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Related Experiment Video

Updated: Jun 2, 2025

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

Yujia Fu1,2, Jingjie Wu3, Zhiting Guo4

  • 1Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People's Republic of China.

Clinical Interventions in Aging
|January 14, 2025
PubMed
Summary
This summary is machine-generated.

Multimorbid patients exhibit distinct self-management behaviors influenced by workload and capacity. Tailored interventions addressing these factors are crucial for improving patient outcomes in chronic disease management.

Keywords:
capacityinteractionmixed-methods studymultimorbidityself-managementworkload

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Area of Science:

  • Health Services Research
  • Chronic Disease Management
  • Patient Self-Management

Background:

  • Multimorbidity presents complex challenges for patients, requiring effective self-management strategies.
  • Understanding patient behavior profiles is essential for developing targeted healthcare interventions.

Purpose of the Study:

  • To identify distinct self-management behavior profiles among patients with multiple chronic conditions.
  • To explore the influence of workload and capacity, and their interaction, on these self-management profiles.

Main Methods:

  • A sequential explanatory mixed-methods design involving 1,920 multimorbid patients and 16 semi-structured interviews.
  • Latent Profile Analysis (LPA) identified self-management profiles; multinomial logistic regression examined workload and capacity influences.

Main Results:

  • Three profiles emerged: Symptom-driven (8.0%), Passive-engagement (29.5%), and Active-cooperation (62.5%).
  • Symptom-driven and Passive-engagement profiles correlated with higher workload and lower capacity.
  • Workload and capacity interaction significantly impacted the Passive-engagement profile.

Conclusions:

  • Distinct self-management profiles exist in multimorbid patients, varying in engagement and proactivity.
  • Interventions should be tailored to address specific patient profiles, focusing on managing workload and enhancing capacity.
  • Optimizing self-management through personalized approaches can improve health outcomes for individuals with multiple chronic conditions.