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A Systematic Review of Methods for Medical Record Analysis to Detect Adverse Events in Hospitalized Patients

Authors :
Martin H. Prins
Dorthe O Klein
Richard P. Koopmans
Roger J M W Rennenberg
Source :
Journal of Patient Safety
Publication Year :
2021

Abstract

Supplemental digital content is available in the text.<br />Objective In this systematic review, we evaluate 2 of the most used trigger tools according to the criteria of the World Health Organization for evaluating methods. Methods We searched Embase, PubMed, and Cochrane databases for studies (2000–2017). Studies were included if medical record review (MRR) was performed with either the Global Trigger Tool or the Harvard Medical Practice Study in a hospital population. Quality assessment was performed in duplicate. Fifty studies were included, and results were reported for every criterion separately. Results Medical record review reveals more adverse events (AEs) than any other method. However, at the same time, it detects different AEs. The costs of an AE were on average €4296. Considerable efforts have been made worldwide in health care to improve safety and to reduce errors. These have resulted in some positive effects. The literature showed that MRR is focused on several domains of quality of care and seems suitable for both small and large cohorts. Furthermore, we found a moderate to substantial agreement for the presence of a trigger and a moderate to good agreement for the presence of an AE. Conclusions Medical record review with a trigger tool is a reasonably well-researched method for the evaluation of the medical records for AEs. However, looking at the World Health Organization criteria, much research is still lacking or of moderate quality. Especially for the cost of detecting AEs, valuable information is missing. Moreover, knowledge of how MRR changes quality and safety of care should be evaluated.

Details

Language :
English
ISSN :
15498417
Volume :
17
Issue :
8
Database :
OpenAIRE
Journal :
Journal of Patient Safety
Accession number :
edsair.doi.dedup.....12fafa362dab75d3d8c63e9e2e8aee58
Full Text :
https://doi.org/10.1097/pts.0000000000000670