Risk factors for wrong-patient medication orders in the emergency department.
| Autor: | Krummrey G; Institute for Medical Informatics (I4MI), Bern University of Applied Sciences (BFH), Biel/Bienne 2501, Switzerland.; Department of Emergency Medicine, Inselspital, Bern University Hospital, Bern 3010, Switzerland., Sauter TC; Department of Emergency Medicine, Inselspital, Bern University Hospital, Bern 3010, Switzerland., Hautz WE; Department of Emergency Medicine, Inselspital, Bern University Hospital, Bern 3010, Switzerland., Müller M; Department of Emergency Medicine, Inselspital, Bern University Hospital, Bern 3010, Switzerland., Schwappach DLB; Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern 3012, Switzerland. |
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| Jazyk: | angličtina |
| Zdroj: | JAMIA open [JAMIA Open] 2024 Oct 25; Vol. 7 (4), pp. ooae103. Date of Electronic Publication: 2024 Oct 25 (Print Publication: 2024). |
| DOI: | 10.1093/jamiaopen/ooae103 |
| Abstrakt: | Objectives: This paper investigates the risk factors for wrong-patient medication orders in an emergency department (ED) by studying intercepted ordering errors identified by the "retract-and-reorder" (RaR) metric (orders that were retracted and reordered for a different patient by the same provider within 10 min). Materials and Methods: Medication ordering data of an academic ED were analyzed to identify RaR events. The association of RaR events with similarity of patient names and birthdates, matching sex, age difference, the month, weekday, and hour of the RaR event, the elapsed hours since ED shift start, and the proximity of exam rooms in the electronic medical record (EMR) dashboard's layout was evaluated. Results: Over 5 years (2017-2021), 1031 RaR events were identified among a total of 561 099 medication orders leading to a proportional incidence of 184 per 100 000 ED orders (95% CI: 172; 195). RaR orders were less likely to be performed by nurses compared to physicians (OR 0.54 [0.47; 0.61], P < .001). Furthermore, RaR pairs were more likely to have the same sex (OR 1.26 [95% CI 1.10; 1.43], P = .001) and the proximity of the exam rooms was closer (-0.62 [95% CI -0.77; -0.47], P = .001) compared to control pairs. Patients' names, birthdates, age, and the other factors showed no significant association ( P > .005). Discussion and Conclusion: This study found no significant influence from factors such as similarity of patient names, age, or birthdates. However, the proximity of exam rooms in the user interface of the EMR as well as patients' same sex emerged as risk factors. Competing Interests: All other authors report no conflict of interest. (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.) |
| Databáze: | MEDLINE |
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