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Medicaid and CHIP Child Health Beneficiary Incentives: Program Landscape and Stakeholder Insights. | LitMetric

AI Article Synopsis

Article Abstract

Objectives: To describe the landscape of Medicaid and the Children's Health Insurance Program beneficiary incentive programs for child health and garner key stakeholder insights on incentive program rationale, child and family engagement, and program evaluation.

Methods: We identified beneficiary health incentive programs from 2005 to 2018 through a search of peer-reviewed and publicly available documents and through semistructured interviews with 80 key stakeholders (Medicaid and managed-care leadership, program evaluators, patient advocates, etc). This study highlights insights from 23 of these stakeholders with expertise on programs targeting child health (<18 years old) to understand program rationale, beneficiary engagement, and program evaluation.

Results: We identified 82 child health-targeted beneficiary incentive programs in Medicaid and the Children's Health Insurance Program. Programs most commonly incentivized well-child checks ( = 77), preventive screenings ( = 30), and chronic disease management ( = 30). All programs included financial incentives (eg, gift cards, premium incentives); some also offered incentive material prizes ( = 12; eg, car seats). Loss-framed incentives were uncommon ( = 1; eg, lost benefits) and strongly discouraged by stakeholders. Stakeholders suggested family engagement strategies including multigenerational incentives or incentives addressing social determinants of health. Regarding evaluation, stakeholders suggested incentivizing evidence-based preventive services (eg, vaccinations) rather than well-child check attendance, and considering proximal measures of child well-being (eg, school functioning).

Conclusions: As the landscape of beneficiary incentive programs for child health evolves, policy makers have unique opportunities to leverage intergenerational and social approaches for family engagement and to more effectively increase and evaluate programs' impact.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855824PMC
http://dx.doi.org/10.1542/peds.2018-3161DOI Listing

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