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J Patient Saf ; 20(6): 426-433, 2024 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-38771664

RESUMEN

OBJECTIVES: Indicators based on routine data are considered a readily available and cost-effective method for assessing health care quality and safety. The Austrian Inpatient Quality Indicators (A-IQI) have been introduced in all Austrian public hospitals as a mandatory quality measurement. The purpose of this study was to assess the value of conspicuous A-IQI in predicting the presence of adverse events (AEs). METHODS: We conducted an exploratory study comparing all indicator-positive patient cases contributing to 18 conspicuous A-IQI indicators to randomly selected indicator-negative control cases regarding the prevalence and severity of AEs. Structured medical record review using the Institute for Healthcare Improvement Global Trigger Tool was used as the gold standard. RESULTS: In 421 chart reviews, we identified 158 AEs. 70.9% (n = 112) of the AEs were found in cases with a positive indicator. The relative risk of an AE occurring was 3.47 (95% confidence interval: 2.30, 5.24) in indicator-positive cases compared to indicator-negatives. The proportion of severe events (National Coordination Council for Medication Error Reporting and Prevention Index categories H and I) was 54.5% (n = 61) in indicator-positive cases and only 15.3% (n = 7) in indicator-negative cases. Overall sensitivity of the A-IQI was 68.2%, specificity 69.4%, positive predictive value 36.0%, and negative predictive value 89.6%. CONCLUSIONS: Our study shows that significantly more AEs and more severe AEs were found in cases with positive A-IQI than in indicator-negative control cases. However, studies with larger numbers of cases and with larger numbers of conspicuous indicators are needed for the validation of the entire A-IQI indicator set.


Asunto(s)
Errores Médicos , Indicadores de Calidad de la Atención de Salud , Humanos , Indicadores de Calidad de la Atención de Salud/estadística & datos numéricos , Austria , Errores Médicos/estadística & datos numéricos , Errores Médicos/prevención & control , Pacientes Internos/estadística & datos numéricos , Seguridad del Paciente/estadística & datos numéricos , Seguridad del Paciente/normas , Femenino , Masculino , Persona de Mediana Edad , Anciano , Hospitales Públicos/estadística & datos numéricos , Adulto
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