Detection of Adverse Events With the Austrian Inpatient Quality Indicators

Author:

Schmied Marten,Buchberger Wolfgang1,Perkhofer Dieter2,Kvitsaridze Irma3,Brunner Wolfgang4,Kapferer Oliver4,Siebert Uwe

Affiliation:

1. Research Unit for Quality and Efficiency in Medicine, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL-University for Health Sciences and Technology, Hall in Tirol, Austria

2. Anaesthesiology and Intensive Care Medicine

3. Radiooncology, University Hospital Innsbruck

4. Health University of Applied Sciences Tyrol, Innsbruck

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference29 articles.

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