Development of an algorithm to identify fall-related injuries and costs in Medicare data.

Kim, Sung-Bou; Zingmond, David S; Keeler, Emmett B; Jennings, Lee A; Wenger, Neil S; Reuben, David B; Ganz, David A

Kim, Sung-Bou; Zingmond, David S; Keeler, Emmett B; Jennings, Lee A; Wenger, Neil S; Reuben, David B; Ganz, David A.

Afiliación

Kim SB; Pardee RAND Graduate School, 1776 Main Street, Santa Monica, CA, 90407, USA. skim@prgs.edu.
Zingmond DS; Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Center for Health Sciences, Los Angeles, CA, 90095, USA.
Keeler EB; RAND Health, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA.
Jennings LA; Multicampus Program in Geriatric Medicine and Gerontology, David Geffen School of Medicine at UCLA, Center for Health Sciences, Los Angeles, CA, 90095, USA.
Wenger NS; Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Center for Health Sciences, Los Angeles, CA, 90095, USA.
Reuben DB; RAND Health, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90407, USA.
Ganz DA; Multicampus Program in Geriatric Medicine and Gerontology, David Geffen School of Medicine at UCLA, Center for Health Sciences, Los Angeles, CA, 90095, USA.

Inj Epidemiol ; 3(1): 1, 2016 Dec.

Article en En | MEDLINE | ID: mdl-27747538

Palabras clave

Algorithm; Fall; Fall-related injury; HCPCS; ICD-9-CM; Medicare

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_financiamento_saude Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Inj Epidemiol Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

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