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A proposed method for identifying Interfacility transfers in Medicare claims data.
Nikpay, Sayeh; Leeberg, Michelle; Kozhimannil, Katy; Ward, Michael; Wolfson, Julian; Graves, John; Virnig, Beth A.
Afiliación
  • Nikpay S; Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
  • Leeberg M; Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
  • Kozhimannil K; Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
  • Ward M; Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wolfson J; Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
  • Graves J; Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Virnig BA; College of Public Health and Health Professions, University of Florida, Tampa, Florida, USA.
Health Serv Res ; 2024 Sep 10.
Article en En | MEDLINE | ID: mdl-39256893
ABSTRACT

OBJECTIVE:

To develop a method of consistently identifying interfacility transfers (IFTs) in Medicare Claims using patients with ST-Elevation Myocardial Infarction (STEMI) as an example. DATA SOURCES/STUDY

SETTING:

100% Medicare inpatient and outpatient Standard Analytic Files and 5% Carrier Files, 2011-2020. STUDY

DESIGN:

Observational, cross-sectional comparison of patient characteristics between proposed and existing methods. DATA COLLECTION/EXTRACTION

METHODS:

We limited to patients aged 65+ with STEMI diagnosis using both proposed and existing methods. PRINCIPAL

FINDINGS:

We identified 62,668 more IFTs using the proposed method (86,128 versus 23,460). A separately billable interfacility ambulance trip was found for more IFTs using the proposed than existing method (86% vs. 79%). Compared with the existing method, transferred patients under the proposed method were more likely to live in rural (p < 0.001) and lower income (p < 0.001) counties and were located farther away from emergency departments, trauma centers, and intensive care units (p < 0.001).

CONCLUSIONS:

Identifying transferred patients based on two consecutive inpatient claims results in an undercount of IFTs and under-represents rural and low-income patients.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Health Serv Res Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Health Serv Res Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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