Marten Schmied, Wolfgang Buchberger, Dieter Perkhofer, Irma Kvitsaridze, Wolfgang Brunner, Oliver Kapferer, Uwe Siebert
{"title":"利用奥地利住院病人质量指标检测不良事件。","authors":"Marten Schmied, Wolfgang Buchberger, Dieter Perkhofer, Irma Kvitsaridze, Wolfgang Brunner, Oliver Kapferer, Uwe Siebert","doi":"10.1097/PTS.0000000000001235","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":48901,"journal":{"name":"Journal of Patient Safety","volume":" ","pages":"426-433"},"PeriodicalIF":1.7000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of Adverse Events With the Austrian Inpatient Quality Indicators.\",\"authors\":\"Marten Schmied, Wolfgang Buchberger, Dieter Perkhofer, Irma Kvitsaridze, Wolfgang Brunner, Oliver Kapferer, Uwe Siebert\",\"doi\":\"10.1097/PTS.0000000000001235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":48901,\"journal\":{\"name\":\"Journal of Patient Safety\",\"volume\":\" \",\"pages\":\"426-433\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Patient Safety\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/PTS.0000000000001235\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Patient Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/PTS.0000000000001235","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/22 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Detection of Adverse Events With the Austrian Inpatient Quality Indicators.
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.
期刊介绍:
Journal of Patient Safety (ISSN 1549-8417; online ISSN 1549-8425) is dedicated to presenting research advances and field applications in every area of patient safety. While Journal of Patient Safety has a research emphasis, it also publishes articles describing near-miss opportunities, system modifications that are barriers to error, and the impact of regulatory changes on healthcare delivery. This mix of research and real-world findings makes Journal of Patient Safety a valuable resource across the breadth of health professions and from bench to bedside.