Prescriber perceptions of medication-related computerized decision support systems in hospitals: A synthesis of qualitative research

•Perceived threats to autonomy and mistrust of information prevented CDSS uptake.•Perceptions that CDSS improves patient safety and efficiency promoted CDSS uptake.•Large numbers of irrelevant alerts reportedly led to alerts being ignored.•For order sentences/order sets; long lists resulted in free...

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Veröffentlicht in:International journal of medical informatics (Shannon, Ireland) Ireland), 2019-09, Vol.129, p.285-295
Hauptverfasser: Van Dort, Bethany A., Zheng, Wu Yi, Baysari, Melissa T.
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container_title International journal of medical informatics (Shannon, Ireland)
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Zheng, Wu Yi
Baysari, Melissa T.
description •Perceived threats to autonomy and mistrust of information prevented CDSS uptake.•Perceptions that CDSS improves patient safety and efficiency promoted CDSS uptake.•Large numbers of irrelevant alerts reportedly led to alerts being ignored.•For order sentences/order sets; long lists resulted in free text ordering.•Further qualitative research of other forms of CDSS is needed to improve uptake. To identify factors that prevent and promote uptake of medication-related computerized decision support systems (CDSS) in hospitals, based on the perceptions of prescribers. Databases Medline, Embase, CINAHL, PubMed and PsycINFO and the top five medical informatics journals were searched. English papers published after 2002, which used a qualitative approach to examine prescriber views of CDSS in hospitals were included. Qualitative data were extracted and mapped to the three domains of the HOT-fit framework (human, organization, and technology). Factors preventing CDSS uptake were perceived threats to autonomy, CDSS conflicting with personal prescribing preferences, and mistrust of CDSS information. Factors promoting CDSS uptake were perceptions that CDSS improves safety and efficiency, and is easy to use. With respect to medication alerts, large numbers of irrelevant alerts reportedly led to alerts being ignored. When using order sentences/order sets, long lists of options led to excessive scrolling or clicks, and resulted in users opting for free text ordering. To promote medication-related CDSS uptake, it is recommended that prescribers’ perspectives on CDSS usability and integration into workflow be sought during the design phase, that evidence on CDSS’ effectiveness to improve safety be provided to prescribers, and that system information be kept up to date. To improve alert uptake, organizations should ensure that alerts and minimal and relevant. To improve uptake of order sentences/order sets, organizations should minimise the number of options available to prescribers. Future work should focus on exploring prescriber perceptions of other types of CDSS.
doi_str_mv 10.1016/j.ijmedinf.2019.06.024
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subjects Computerized physician order entry
Decision support systems
Medication alert systems
Qualitative research
Systematic review
title Prescriber perceptions of medication-related computerized decision support systems in hospitals: A synthesis of qualitative research
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