Medical Care · 2005 · 113 citations · 19 references
Health ProfessionsHealth AdministrationHealth Services AdministrationPatient SafetyPublic Health SurveillanceRisk AssessmentPatient Safety OutcomesSafety AssessmentSafety EvaluationAdministrative Data SourcesConstruct ValidityConstruct Validity AssessmentPatient Safety IncidentsPatient Safety IndicatorsPatient Safety MeasurementSafety IndicatorsTransfusion Reaction Analysis
BACKGROUND: The Patient Safety Indicators (PSIs), an administrative data-based tool developed by the Agency for Healthcare Research and Quality, are increasingly being used to screen for potential in-hospital patient safety problems. Although the Veterans Health Administration (VA) is a national leader in patient safety, accurate information on the epidemiology of patient safety events in the VA is still unavailable. OBJECTIVES: Our objectives were to: (1) apply the AHRQ PSI software to VA administrative data to identify potential instances of compromised patient safety; (2) determine occurrence rates of PSI events in the VA; and (3) examine the construct validity of the PSIs. METHODS: We examined differences between observed and risk-adjusted PSI rates in the VA, compared VA and non-VA PSI rates, and investigated the construct validity of the PSIs by examining correlations of the PSIs with other outcomes of VA hospitalizations. RESULTS: We identified 11,411 PSI events in the VA nationwide in FY'01. Observed PSI rates per 1000 discharges ranged from 0.007 for "transfusion reaction" to 155.5 for "failure to rescue." There were significant, although small, differences between VA and non-VA risk-adjusted PSI rates. Hospitalizations with PSI events had longer lengths of stay, higher mortality, and higher costs than those without PSI events. CONCLUSIONS: Our results suggest that the PSIs may be useful as a patient safety screening tool in the VA. Our PSI rates were consistent with the national incidence of low rates; however, differences between VA and non-VA rates suggest that inadequate case-mix adjustment may be contributing to these findings.
19
Comorbidity Measures for Use with Administrative Data
Anne Elixhauser, Claudia Steiner, D.R. Harris et al. · Medical Care · 1998 · 9.9K citations
Education, Health Services Administration, Health Assessment +16
The Department of Veterans Affairs' NSQIP
Shukri F. Khuri, Jennifer Daley, William G. Henderson et al. · Annals of Surgery · 1998 · 1.5K citations · Full text
Identification of In-Hospital Complications From Claims Data
Ann G. Lawthers, Ellen P. McCarthy, Roger B. Davis et al. · Medical Care · 2000 · 405 citations
Health Professions, Surgery, Clinical Classification Systems +16