Decisional Support Algorithm for Collaborative Care Planning using the Participation and Environment Measure for Children and Youth (PEM-CY): A Mixed Methods Study

Aims: The purpose of this study was to explore the utility of the Participation and Environment Measure for Children and Youth (PEM-CY) for collaborative care planning with parents of children with disabilities. Methods: An explanatory sequential mixed methods approach was employed to examine how community-based service providers interpret and apply PEM-CY case results to set goals and formulate care plans with parents. We used two distinct, interactive phases that included collection and summary of PEM-CY data in Phase One (quantitative) and sequential collection and analysis of interview data during Phase Two (qualitative). Twenty-three parents of children with disabilities (mean age = 10.7 years) completed the PEM-CY community section during Phase One (quan). Four PEM-CY case reports were used with seven providers who were interviewed during Phase Two (QUAL). Results: Providers identified a four-step decisional support algorithm for leveraging PEM-CY case results in care planning: (1) parent rank orders activities in which change is desired, (2) child preferences are incorporated, (3) provider clarifies parent and child goals, and (4) activity-specific supports, barriers, and strategies are identified. Conclusions: Further validation and refinement of the decisional support algorithm with parents and children when applied to PEM-CY home and school reports is discussed.