Patterns of Locus of Control in People Suffering from Heart Failure: An Approach by Clustering Method

Agnieszka Siennicka1, Maciej Pondel2, Szymon Urban3

  • 1Department of Physiology and Pathophysiology, Wroclaw Medical University, 50-368 Wroclaw, Poland.

Insights

Understanding patient beliefs about health control is key for managing chronic heart failure. Identifying distinct patient groups based on their locus of control can tailor education and support for better self-management.

Area of Science:

  • Cardiology
  • Health Psychology
  • Patient Self-Management

Background:

  • Chronic heart failure management requires patient responsibility and tailored support.
  • The locus of control model offers insights into patient beliefs regarding health.
  • Understanding these beliefs is crucial for effective self-management interventions.

Purpose of the Study:

  • To identify distinct patterns in health locus of control among heart failure patients.
  • To explore how these patterns can inform targeted education and self-management support.
  • To apply the Multidimensional Health Locus of Control (MHLC) model in a heart failure cohort.

Main Methods:

  • A standardized self-assessment scale, the Multidimensional Health Locus of Control (MHLC), was used.
  • A sample of 758 patients from 11 Polish cardiology centers participated.
  • Data were analyzed to extract clusters based on internal control, powerful others, and chance control.

Main Results:

  • Nine distinct patient clusters were identified based on their health locus of control beliefs.
  • One cluster showed high potential for fruitful cooperation with healthcare professionals.
  • Two clusters indicated a risk associated with ignoring professional recommendations, requiring specific support.

Conclusions:

  • Significant variability exists in health locus of control beliefs among heart failure patients.
  • A cluster-based approach allows for personalized education and motivation strategies.
  • This methodology balances group-oriented and individual approaches for optimal patient support.

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