Shared decision-making for children with medical complexity in community health services: a scoping review

Sonja Jacobs1, Nathan Davies2, Katherine L Butterick3

  • 1Community Children's Therapies, Barts Health NHS Trust, London, UK christina.smith@ucl.ac.uk sonja.jacobs@nhs.net.

BMJ Paediatrics Open
|April 3, 2023
PubMed

Insights

Shared decision-making for children with medical complexity is poorly implemented due to uncertainty and power imbalances. Improving this requires better evidence, reduced hierarchy, and enhanced information access for families and providers.

Area of Science:

  • Pediatric Healthcare
  • Health Services Research
  • Shared Decision-Making

Background:

  • Children with medical complexity represent a growing population requiring collaborative decision-making.
  • Shared decision-making (SDM) involves patients, families, and providers making healthcare choices together.
  • While SDM offers benefits like improved understanding and coping, its implementation is often inadequate.

Purpose of the Study:

  • To explore the definition, implementation, barriers, and facilitators of SDM for children with medical complexity in community health settings.
  • To identify research gaps and provide recommendations for future studies.

Main Methods:

  • A comprehensive scoping review was conducted.
  • Systematic searches of six databases (Medline, CINAHL, EMBASE, PsycINFO, PubMed, Cochrane) and grey literature were performed.
  • The review adhered to Preferred Reporting Items for Scoping Reviews (PRISMA) guidelines.

Main Results:

  • Thirty sources met the inclusion criteria, revealing context-dependent factors influencing SDM.
  • Key barriers include diagnostic/prognostic uncertainty and power imbalances between families and providers.
  • Other factors include continuity of care, information accessibility, and communication skills.

Conclusions:

  • Uncertainty regarding diagnosis, prognosis, and treatment significantly challenges SDM for these children.
  • Effective SDM implementation necessitates strengthening the evidence base, mitigating power differentials, ensuring care continuity, and improving information resources.
Abstract

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