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Pharmacy- and Diagnosis-Based Risk Adjustment for Children With Medicaid

Datos Bibliográficos

ID9102670
AutoresKaren Kuhlthau (0000-0001-7315-3882, Massachusetts General Hospital, autor de correspondencia), Timothy G Ferris (Massachusetts General Hospital, autor de correspondencia), Roger B Davis (0000-0003-3330-3123), James M Perrin (0000-0002-1810-3708, Massachusetts General Hospital, autor de correspondencia), Lisa I Iezzoni (0000-0002-1416-5039)
Año2005
Volumen43
Número11
Páginas1155-1159
Fecha de publicación2005-11-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000182551.87591.73
PMID16224310
OpenAlexW2093828766
IdiomaEN
Citas recibidas3
Referencias citadas15

BACKGROUND: Risk adjustment is useful for adjusting health care payments based on patients' health status. OBJECTIVE: This work seeks to examine how well pharmacy- and diagnosis-based risk adjusters predict child health expenditures in Medicaid populations. RESEARCH DESIGN: We used 1994-1995 Medicaid claims files for all children ages 0-18 years who were not covered by managed care in 3 states: Georgia, New Jersey, and Wisconsin. We examined separately 6 risk adjustment methods, 2 pharmacy-based and 4 diagnosis-based. We compared predictive accuracy of the methods for the whole sample and stratified by state and Medicaid enrollment category. FINDINGS: Models with risk adjustment (either diagnosis- or pharmacy-based) had better predictive accuracy than demographic models. The pharmacy and diagnosis-based models had similar predictive accuracy. Risk adjuster performance differed by Medicaid enrollment category and state. Risk-adjusted models generally underpredict expenditures in populations with worse health status (eg, those in the Supplemental Security Income program [SSI]). The pharmacy-based models performed well for children in SSI relative to children in foster care. CONCLUSIONS: Both pharmacy- and diagnosis-based risk adjustment improved the prediction of health expenditures compared models without risk adjustment. No single risk adjuster performed best in all situations, suggesting that optimal choices of risk adjusters may differ by purpose and context

Family medicine · Health care · Medicaid · MEDLINE · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Medication Adherence and Compliance · Medicine · Pharmacy

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    Open Access•Christin Juhnke, Susanne Bethge et al.•International Journal of…•2016

  • A medication-estimated health status measure for predicting primary care visits

    Open Access•Abdullah Ahmed Dhabali, Rahmat Awang•Health Policy and Planning•2010

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    Jonathan P Weiner, Barbara Starfield et al.•Medical Care•1991

  • Development and Estimation of a Pediatric Chronic Disease Score Using Automated Pharmacy Data

    Paul Fishman, Paul A Fishman et al.•Medical Care•1999

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    Todd Gilmer, Richard Kronick et al.•Medical Care•2001

  • Risk Adjustment Using Automated Ambulatory Pharmacy Data

    Paul Fishman, Paul A Fishman et al.•Medical Care•2003

Obras citantes distintas3
Citas por año0,19
Intervalo de citas2010 - 2016 (7)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 3
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