Experts' Perspectives Toward a Population Health Approach for Children With Medical Complexity

Elizabeth S Barnert1, Ryan J Coller2, Bergen B Nelson1

  • 1Department of Pediatrics, UCLA David Geffen School of Medicine, Los Angeles, Calif; Children's Discovery & Innovation Institute, Mattel Children's Hospital UCLA, Los Angeles, Calif.

Academic Pediatrics
|March 2, 2017
PubMed

Insights

Defining population health for children with medical complexity (CMC) is crucial. Experts identified key themes, including child-specific goals and family-centered care, to develop essential health metrics for this unique group.

Area of Science:

  • Pediatric Health
  • Population Health Management
  • Health Outcomes Research

Background:

  • Children with Medical Complexity (CMC) exhibit unique health trajectories and resource needs.
  • Traditional population health concepts may not adequately apply to CMC.
  • There is a need to define core health metrics for CMC.

Purpose of the Study:

  • To identify key health outcome domains for CMC.
  • To establish a foundation for developing population health metrics for CMC.
  • To address the distinct needs of CMC within population health frameworks.

Main Methods:

  • Conducted interviews with 23 national experts on CMC.
  • Included diverse stakeholders: advocates, providers, researchers, and leaders.
  • Performed thematic content analysis of interview data.

Main Results:

  • Experts believe defining and measuring population health for CMC is feasible and valuable.
  • Key themes: unifying characteristics of CMC, child-specific/dynamic health, family-centered health, importance of social determinants, and measurement challenges.
  • Identified shared characteristics and challenges in assessing CMC population health.

Conclusions:

  • Initial steps have been taken to define population health for CMC.
  • Population health for CMC is a dynamic concept focused on individual child goals.
  • A proposed framework can guide the development of CMC population health metrics.
Abstract

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