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Predictors of quality of life after cardiac procedures: a mixed-methods study

Niki Medendorp1, Hilda Rijnhart-de Jong2, Ilse Verstraaten3

  • 1Netherlands Heart Registration, Utrecht, The Netherlands. medendorp.nm@gmail.com.

Insights

Psychological and social factors significantly predict health-related quality of life (HRQoL) changes after cardiac procedures. Addressing these factors in consultations can improve shared decision-making and optimize treatment choices for patients.

Area of Science:

  • Cardiology
  • Health Psychology
  • Health Services Research

Background:

  • Cardiovascular disease significantly impacts patients' lives.
  • Cardiac procedures aim to improve health-related quality of life (HRQoL), but outcomes vary.
  • Understanding factors influencing HRQoL changes is crucial for patient care.

Purpose of the Study:

  • To explore determinants predictive of HRQoL changes in patients undergoing cardiac procedures.
  • To identify factors influencing post-procedural HRQoL for better patient outcomes.
  • To enhance shared decision-making in cardiac procedure selection.

Main Methods:

  • A stepwise, mixed-methods approach combining literature search, Delphi study, and cross-sectional survey.
  • Identified 19 key determinants through literature review and expert consensus.
  • Assessed the impact of determinants on HRQoL changes using validated questionnaires (SF36-2/SF12-2, AFEQT) in 1016 patients.

Main Results:

  • In the Coronary Artery Bypass Graft (CABG), Percutaneous Coronary Intervention (PCI), or Surgical Aortic Valve Replacement (SAVR) group (n=731), 9 determinants predicted physical HRQoL and 9 predicted mental HRQoL.
  • In the Percutaneous Valve Implantation (PVI) group (n=285), significant determinants were identified across all four AFEQT domains.
  • Multiple psychological and social factors demonstrated significant associations with HRQoL changes.

Conclusions:

  • Psychological and social factors are significant predictors of post-cardiac procedure HRQoL.
  • Integrating these factors into patient consultations can improve shared decision-making.
  • Addressing these determinants may enhance patient expectations and lead to more optimal, individualized treatment choices.
Abstract

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