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Accuracy of Risk-Adjusted Mortality Rate As a Measure of Hospital Quality of Care

Datos Bibliográficos

ID9104318
AutoresJ W Thomas (0000-0002-2098-6458, Department of Health Services, autor de correspondencia), Timothy P Hofer (0000-0003-0434-8787)
Año1999
Volumen37
Número1
Páginas83-92
Fecha de publicación1999-01-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199901000-00012
PMID10413396
OpenAlexW2332141632
IdiomaEN
Citas recibidas13
Referencias citadas12

OBJECTIVES: Reports on hospital quality performance are being produced with increasing frequency by state agencies, commercial data vendors, and health care purchasers. Risk-adjusted mortality rate is the most commonly used measure of quality in these reports. The purpose of this study was to determine whether risk-adjusted mortality rates are valid indicators of hospital quality performance. METHODS: Based on an analytical model of random measurement error, sensitivity and predictive error of mortality rate indicators of hospital performance were estimated. RESULTS: The following six parameters were shown to determine accuracy: (1) mortality risks of patients who receive good quality care and (2) of those who receive poor quality care, (3) proportion of patients (across all hospitals) who receive poor quality care, (4) proportion of hospitals considered to be "poor quality," (5) patients' relative risk of receiving poor quality care in "good quality" and in "poor quality" hospitals, and (6) number of patients treated per hospital. Using best available values for model parameters, analyses demonstrated that in nearly all situations, even with perfect risk adjustment, identifying poor quality hospitals on the basis of mortality rate performance is highly inaccurate. Of hospitals that delivered poor quality care, fewer than 12% were identified as high mortality rate outliers, and more than 60% of outliers were actually good quality hospitals. CONCLUSIONS: Under virtually all realistic assumptions for model parameter values, sensitivity was less than 20% and predictive error was greater than 50%. Reports that measure quality using risk-adjusted mortality rates misinform the public about hospital performance

Health care · Mortality rate · Operations management · Quality (philosophy) · Quality management · Statistics · Emergency Medicine · Healthcare Policy and Management · Medicine · Patient Satisfaction in Healthcare · Primary Care and Health Outcomes · Surgery

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Obras citantes distintas13
Citas por año0,52
Intervalo de citas2001 - 2012 (12)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 13
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