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People's preferences for self-management support.

Cynthia P Iglesias Urrutia1, Seda Erdem2, Yvonne F Birks3

  • 1Department of Health Sciences, University of York, York, UK.

Health Services Research
|February 26, 2021
PubMed
Summary
This summary is machine-generated.

People with long-term conditions prefer personalized, face-to-face self-management support. Understanding patient preferences for interventions improves service design and adoption.

Keywords:
long-term conditionsmixed methodsperson-centered health carepreferencesself-management support interventions

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Area of Science:

  • Health Services Research
  • Patient-Centered Care
  • Chronic Disease Management

Background:

  • Self-management support interventions are crucial for individuals with long-term health conditions.
  • Existing support services may not fully align with patient preferences, potentially impacting effectiveness.
  • A need exists to tailor support to individual needs and preferences for better outcomes.

Purpose of the Study:

  • To identify and assess preferences of people with long-term conditions for self-management support interventions.
  • To inform the design of more person-centered and effective support services.
  • To understand heterogeneity in preferences based on patient characteristics.

Main Methods:

  • A targeted literature review was conducted.
  • Qualitative semi-structured interviews and cognitive interviews were performed.
  • A large-scale discrete choice experiment, including best-worst scaling, was administered to a representative UK sample.

Main Results:

  • Patients generally preferred individual-based, face-to-face support with healthcare professionals (doctors/nurses) at GP practices.
  • Preferred session frequency varied (annual to monthly), with shorter durations (<1 hour).
  • Three distinct preference classes were identified, influenced by gender, age, condition type, and comorbidity.

Conclusions:

  • Patient preferences for self-management support are heterogeneous and influenced by personal characteristics.
  • Tailoring interventions to individual preferences can enhance adoption and effectiveness.
  • Findings provide a basis for designing more nuanced and person-centered self-management support services.