Adherence to phase I cardiac rehabilitation in post-PCI patients: a latent class analysis

Zhuo Chai1, Yuxuan Fan2, Xue Gong1

  • 1Department of Nursing, Harbin Medical University, Daqing, Heilongjiang, China.

Insights

Adherence to phase I cardiac rehabilitation after percutaneous coronary intervention (PCI) varies significantly among patients in China. Identifying these adherence patterns and influencing factors like social support and kinesiophobia is crucial for improving patient outcomes.

Area of Science:

  • Cardiology
  • Public Health
  • Rehabilitation Medicine

Background:

  • Coronary heart disease (CHD) is a major global health concern.
  • Percutaneous coronary intervention (PCI) improves outcomes, but cardiac rehabilitation (CR) offers additional benefits.
  • Adherence to phase I CR post-PCI is suboptimal, with unclear variations in China.

Purpose of the Study:

  • To identify heterogeneity in adherence to phase I CR among post-PCI patients in China.
  • To determine factors influencing different adherence patterns.
  • To inform individualized interventions for improved CR adherence.

Main Methods:

  • Latent class analysis (LCA) was used to categorize adherence patterns.
  • Logistic regression identified factors associated with each adherence class.
  • 212 post-PCI patients from Daqing Oilfield General Hospital were surveyed.

Main Results:

  • Three adherence groups were identified: Good Adherence (31.2%), Poor Nutritional and Psychological Management (32.0%), and Lack of Exercise (36.8%).
  • Factors influencing adherence included limited social support, poor chronic disease resource utilization, low education, alcohol history, and kinesiophobia.
  • These factors significantly impacted subgroup adherence (P < 0.05).

Conclusions:

  • Significant heterogeneity exists in phase I CR adherence among post-PCI patients.
  • Targeted interventions based on identified adherence profiles are recommended.
  • Improving adherence is key to enhancing patient quality of life and clinical outcomes.
Abstract

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