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An R-Based Landscape Validation of a Competing Risk Model
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[Calculated risk versus experienced risk].

Daniëlle R M Timmermans1,2

  • 1Amsterdam UMC, Vrije Universiteit, afd. Sociale Geneeskunde, Amsterdam.

Nederlands Tijdschrift Voor Geneeskunde
|May 12, 2020
PubMed
Summary
This summary is machine-generated.

Personalizing cardiovascular disease risk and medication effects aids shared medical decisions. Integrating patient experience alongside calculated risks may improve treatment choices.

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Area of Science:

  • Cardiology
  • Medical Decision-Making
  • Patient-Centered Care

Background:

  • Cardiovascular disease (CVD) risk assessment is crucial for preventive strategies.
  • Current risk calculators may not fully capture individual patient perspectives.
  • Shared decision-making (SDM) is a key component of effective patient care.

Purpose of the Study:

  • To explore the potential of individualizing CVD risk and treatment effects.
  • To investigate how patient personal experience can inform treatment choices.
  • To enhance the alignment between calculated risks and patient intuition in SDM.

Main Methods:

  • Review of current methodologies in CVD risk stratification.
  • Analysis of the role of patient-reported outcomes and experiences.
  • Conceptual framework development for integrating subjective patient data into risk assessment.

Main Results:

  • Calculated CVD risks may diverge from patient lived experiences.
  • Patient intuition and personal history offer valuable insights for risk perception.
  • A gap exists between objective risk data and subjective patient understanding.

Conclusions:

  • Individualizing risk assessment beyond standard metrics is warranted.
  • Incorporating patient personal experience can refine treatment decisions.
  • Future approaches should prioritize a more holistic, patient-centered risk evaluation for cardiovascular disease prevention.