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Pediatrics ; 151(5)2023 05 01.
Article in English | MEDLINE | ID: mdl-37051803

ABSTRACT

CONTEXT: Most care occurs in home and community settings; however, the best approaches to improve CMC health are poorly understood. OBJECTIVE: We sought to summarize evidence from interventions in the home and community to improve health for children with medical complexity (CMC) using comprehensive conceptions of CMC health. DATA SOURCES: PubMed, CINAHL, Scopus, and Cochrane databases. STUDY SELECTION: Included studies evaluated interventions for CMC caregivers in home or community settings and evaluated at least 1 outcome in 10 domains of CMC health. DATA EXTRACTION: Data were extracted on participant characteristics, intervention activities, and outcomes. Interventions were categorized thematically into strategies, with results summarized by effects on outcomes within each health domain. RESULTS: The 25 included interventions used 5 strategies: intensive caregiver education (n = 18), support groups (n = 3), crisis simulation (n = 2), mobile health tracking (n = 1), and general education (n = 1). Substantial variation existed in the extent to which any outcome domain was studied (range 0-22 studies per domain). Interventions addressing 4 domains showed consistent improvement: support group and mobile health tracking improved long-term child and caregiver self-sufficiency; mobile health tracking improved family-centered care; intensive caregiver education and support groups improved community system supports. Three domains (basic needs, inclusive education, patient-centered medical home) were not studied. LIMITATIONS: Risk of bias was moderate due primarily to limited controlled experimental designs and heterogeneous population and outcome definitions. CONCLUSIONS: Interventions that improve CMC health exist; however, current studies focus on limited segments of the 10 domains framework. Consensus outcome measures for CMC health are needed.


Subject(s)
Family Health , Patient-Centered Care , Humans , Child , Computer Simulation , Consensus , Databases, Factual
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