PMID- 32168280 OWN - NLM STAT- MEDLINE DCOM- 20220217 LR - 20230930 IS - 1549-8425 (Electronic) IS - 1549-8417 (Print) IS - 1549-8417 (Linking) VI - 17 IP - 8 DP - 2021 Dec 1 TI - A Systematic Review of Methods for Medical Record Analysis to Detect Adverse Events in Hospitalized Patients. PG - e1234-e1240 LID - 10.1097/PTS.0000000000000670 [doi] AB - 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 euro4296. 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. CI - Copyright (c) 2021 The Author(s). Published by Wolters Kluwer Health, Inc. FAU - Klein, Dorthe O AU - Klein DO AD - From the Departments of Clinical Epidemiology and Medical Technology Assessment (KEMTA). FAU - Rennenberg, Roger J M W AU - Rennenberg RJMW AD - Internal Medicine, Maastricht University Medical Centre. FAU - Koopmans, Richard P AU - Koopmans RP AD - Internal Medicine, Maastricht University Medical Centre. FAU - Prins, Martin H AU - Prins MH AD - Department of Epidemiology, School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands. LA - eng PT - Journal Article PT - Systematic Review PL - United States TA - J Patient Saf JT - Journal of patient safety JID - 101233393 SB - IM MH - Hospitals MH - Humans MH - *Medical Errors MH - Medical Records MH - *Patient Safety MH - Retrospective Studies PMC - PMC8612912 COIS- The authors disclose no conflict of interest. EDAT- 2020/03/14 06:00 MHDA- 2022/02/19 06:00 PMCR- 2021/11/25 CRDT- 2020/03/14 06:00 PHST- 2020/03/14 06:00 [pubmed] PHST- 2022/02/19 06:00 [medline] PHST- 2020/03/14 06:00 [entrez] PHST- 2021/11/25 00:00 [pmc-release] AID - 01209203-202112000-00078 [pii] AID - PTS50492 [pii] AID - 10.1097/PTS.0000000000000670 [doi] PST - ppublish SO - J Patient Saf. 2021 Dec 1;17(8):e1234-e1240. doi: 10.1097/PTS.0000000000000670.