Characterization of Emergency Department Quality Assurance Cases Seen Within a Midwestern United States Health System.
| Autor: | Smith K, Smith HL, Wittry A, Conley G, Leech J, Kluesner N |
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| Jazyk: | angličtina |
| Zdroj: | Journal for healthcare quality : official publication of the National Association for Healthcare Quality [J Healthc Qual] 2024 Sep-Oct 01; Vol. 46 (5), pp. 281-285. Date of Electronic Publication: 2024 Jun 04. |
| DOI: | 10.1097/JHQ.0000000000000447 |
| Abstrakt: | Background: Hospital quality-assurance (QA) processes, including peer-review committees, seek to identify high-risk areas. Purpose: To characterize emergency department (ED) cases sent for QA review. Methods: A retrospective observational study was conducted of ED cases sent to a QA committee from November 2018 through July 2022 at three midwestern US hospitals. The QA records analyzed for these cases included the original incident report, case summary, and the committee determinations. Results: One hundred and forty-seven cases were reviewed by the ED QA Committee. The most frequent referrals came from physicians. Common diagnostic categories included infectious (21%), cardiac (16%), gastrointestinal (11%), and neurologic (10%) concerns. Of the cases, 51% were considered nonpreventable, 33% were potentially preventable, and 9% were preventable. Inpatient boarding in the ED was explicitly implicated as a contributing factor in 6% of case reports. Conclusions: Peer physician reporting represent the largest referral source sent for review with the most frequent diagnostic categories, including infectious, cardiac, gastrointestinal, and neurological conditions. Preventable concerns were rare. Implications: This study provides a better understanding of the referral sources, diagnostic categories, and committee determinations in ED quality concerns. These results can target future investigations into case reporting and patient safety. Competing Interests: The authors declare no conflicts of interest. (Copyright © 2024 National Association for Healthcare Quality.) |
| Databáze: | MEDLINE |
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