title: Population Health Measurement at Centers for Medicare & Medicaid Services: Bridging the Gap Between Public Health and Clinical Quality.
abstract: As Medicare and Medicaid increasingly shift to alternative payment models focused on population-based payments, there is an urgent need to develop measures of population health that can drive health improvement. In response, an assessment and design project established a framework for developing population health measures from a payer perspective, conducted environmental scans of existing measures and available data infrastructure, and conducted a gap analysis informing measure development and infrastructure needs. The work, summarized here, makes recommendations for creating a set of core measures, demonstrates some of the key challenges in applying a traditional quality measure development framework to population health, and complements recent efforts by the National Academy of Medicine and others with a focus on a payer perspective.
authors.affiliation: 1 Centers for Medicare & Medicaid Services , Baltimore, Maryland.
authors.forename: William J
authors.initials: WJ
authors.lastname: Kassler
authors.affiliation: 1 Centers for Medicare & Medicaid Services , Baltimore, Maryland.
authors.forename: Mollie
authors.initials: M
authors.lastname: Howerton
authors.affiliation: 1 Centers for Medicare & Medicaid Services , Baltimore, Maryland.
authors.forename: Alice
authors.initials: A
authors.lastname: Thompson
authors.affiliation: 2 Arbor Research Collaborative for Health , Ann Arbor, Michigan.
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Cope
authors.affiliation: 1 Centers for Medicare & Medicaid Services , Baltimore, Maryland.
authors.forename: Dawn E
authors.initials: DE
authors.lastname: Alley
authors.affiliation: 1 Centers for Medicare & Medicaid Services , Baltimore, Maryland.
authors.forename: Darshak
authors.initials: D
authors.lastname: Sanghavi
mesh_terms: D000328:Adult; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006801:Humans; D008484:Medicaid / Q000592:standards*; D000075485:Population Health; D011787:Quality of Health Care / Q000706:statistics & numerical data*; D014481:United States