title: What Factors Influence States' Capacity to Report Children's Health Care Quality Measures? A Multiple-Case Study.
abstract: Objectives The objective of this study was to describe factors that influence the ability of state Medicaid agencies to report the Centers for Medicare & Medicaid Services' (CMS) core set of children's health care quality measures (Child Core Set). Methods We conducted a multiple-case study of four high-performing states participating in the Children's Health Insurance Program Reauthorization Act (CHIPRA) Quality Demonstration Grant Program: Illinois, Maine, Pennsylvania, and Oregon. Cases were purposively selected for their diverse measurement approaches and used data from 2010 to 2015, including 154 interviews, semiannual grant progress reports, and annual public reports on Child Core Set measures. We followed Yin's multiple-case study methodology to describe how and why each state increased the number of measures reported to CMS. Results All four states increased the number of Child Core Set measures reported to CMS during the grant period. Each took a different approach to reporting, depending on the available technical, organizational, and behavioral inputs in the state. Reporting capacity was influenced by a state's Medicaid data availability, ability to link to other state data systems, past experience with quality measurement, staff time and technical expertise, and demand for the measures. These factors were enhanced by CHIPRA Quality Demonstration grant funding and other federal capacity building activities, as hypothesized in our conceptual framework. These and other states have made progress reporting the Child Core Set since 2010. Conclusion With financial support and investment in state data systems and organizational factors, states can overcome challenges to reporting most of the Child Core Set measures.
authors.affiliation: Mathematica Policy Research, 1100 1st Street NE, 12th Floor, Washington, DC, 20002, USA. achristensen@mathematica-mpr.com.
authors.forename: Anna L
authors.initials: AL
authors.lastname: Christensen
authors.affiliation: Mathematica Policy Research, Oakland, CA, USA.
authors.forename: Dana M
authors.initials: DM
authors.lastname: Petersen
authors.affiliation: The Urban Institute, Washington, DC, USA.
authors.forename: Rachel A
authors.initials: RA
authors.lastname: Burton
authors.affiliation: The Urban Institute, Washington, DC, USA.
authors.forename: Vanessa C
authors.initials: VC
authors.lastname: Forsberg
authors.affiliation: The Urban Institute, Washington, DC, USA.
authors.forename: Kelly J
authors.initials: KJ
authors.lastname: Devers
mesh_terms: D002648:Child; D002662:Child Health Services / Q000458:organization & administration / Q000592:standards*; D002675:Child, Preschool; D061889:Healthcare Financing; D006801:Humans; D007087:Illinois; D007223:Infant; D007348:Insurance, Health / Q000331:legislation & jurisprudence / Q000639:trends; D008281:Maine; D008484:Medicaid / Q000331:legislation & jurisprudence / Q000458:organization & administration; D009922:Oregon; D010414:Pennsylvania; D011787:Quality of Health Care / Q000941:ethics* / Q000331:legislation & jurisprudence; D013219:State Government; D014481:United States
keywords: CHIPRA; Case study; Medicaid; Multiple-case study; Quality measures