Artikel ; Online: Low Efficacy of Medication Shortage Clinical Decision Support Alerts.
Applied clinical informatics
2021 Band 12, Heft 5, Seite(n) 1144–1149
Abstract: Objective: We examined clinical decision support (CDS) alerts designed specifically for medication shortages to characterize and assess provider behavior in response to these short-term clinical situations.: Materials and methods: We conducted a ... ...
Abstract | Objective: We examined clinical decision support (CDS) alerts designed specifically for medication shortages to characterize and assess provider behavior in response to these short-term clinical situations. Materials and methods: We conducted a retrospective analysis of the usage of medication shortage alerts (MSAs) that included at least one alternative medication suggestion and were active for 60 or more days during the 2-year study period, January 1, 2018 to December 31, 2019, in a large health care system. We characterized ordering provider behavior in response to inpatient MSAs. We then developed a linear regression model to predict provider response to alerts using the characteristics of the ordering provider and alert frequency groupings. Results: During the study period, there were 67 MSAs in use that focused on 42 distinct medications in shortage. The MSAs suggested an average of 3.9 alternative medications. Adjusting for the different alerts, fellows ( Conclusion: Our findings demonstrate that providers tended to reject MSAs, even those who were sometimes flexible about their responses. The low overall acceptance rate supports the theory that alerts appearing at the time of order entry may have limited value, as they may be presented too late in the decision-making process. Though MSAs are designed to be attention-grabbing and higher impact than traditional CDS, our findings suggest that providers rarely change their clinical decisions when presented with these alerts. |
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Mesh-Begriff(e) | Decision Support Systems, Clinical ; Female ; Humans ; Male ; Medical Order Entry Systems ; Retrospective Studies |
Sprache | Englisch |
Erscheinungsdatum | 2021-12-01 |
Erscheinungsland | Germany |
Dokumenttyp | Journal Article ; Research Support, N.I.H., Extramural |
ISSN | 1869-0327 |
ISSN (online) | 1869-0327 |
DOI | 10.1055/s-0041-1740257 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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