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Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review

Abell, Bridget ; Naicker, Sundresan ; Rodwell, David ; Donovan, Thomasina ; Tariq, Amina ; Baysari, Melissa ; Blythe, Robin ; Parsons, Rex ; McPhail, Steven M

Implementation science : IS, 2023-07, Vol.18 (1), p.32-32, Article 32 [Peer Reviewed Journal]

England: BioMed Central Ltd

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  • Title:
    Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review
  • Author: Abell, Bridget ; Naicker, Sundresan ; Rodwell, David ; Donovan, Thomasina ; Tariq, Amina ; Baysari, Melissa ; Blythe, Robin ; Parsons, Rex ; McPhail, Steven M
  • Subjects: Analysis ; Barriers and facilitators ; CDSS ; Clinical decision making ; Clinical decision support systems ; Decision support systems ; Decision Support Systems, Clinical ; Design ; Digital health ; Health Personnel ; Hospital ; Hospitals ; Humans ; Implementation science ; Medical care, Cost of ; Medical innovations ; Professionals ; Success ; Systematic Review ; Technology ; Technology application
  • Is Part Of: Implementation science : IS, 2023-07, Vol.18 (1), p.32-32, Article 32
  • Notes: ObjectType-Article-2
    SourceType-Scholarly Journals-1
    ObjectType-Feature-3
    content type line 23
    ObjectType-Review-1
  • Description: Successful implementation and utilization of Computerized Clinical Decision Support Systems (CDSS) in hospitals is complex and challenging. Implementation science, and in particular the Nonadoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework, may offer a systematic approach for identifying and addressing these challenges. This review aimed to identify, categorize, and describe barriers and facilitators to CDSS implementation in hospital settings and map them to the NASSS framework. Exploring the applicability of the NASSS framework to CDSS implementation was a secondary aim. Electronic database searches were conducted (21 July 2020; updated 5 April 2022) in Ovid MEDLINE, Embase, Scopus, PyscInfo, and CINAHL. Original research studies reporting on measured or perceived barriers and/or facilitators to implementation and adoption of CDSS in hospital settings, or attitudes of healthcare professionals towards CDSS were included. Articles with a primary focus on CDSS development were excluded. No language or date restrictions were applied. We used qualitative content analysis to identify determinants and organize them into higher-order themes, which were then reflexively mapped to the NASSS framework. Forty-four publications were included. These comprised a range of study designs, geographic locations, participants, technology types, CDSS functions, and clinical contexts of implementation. A total of 227 individual barriers and 130 individual facilitators were identified across the included studies. The most commonly reported influences on implementation were fit of CDSS with workflows (19 studies), the usefulness of the CDSS output in practice (17 studies), CDSS technical dependencies and design (16 studies), trust of users in the CDSS input data and evidence base (15 studies), and the contextual fit of the CDSS with the user's role or clinical setting (14 studies). Most determinants could be appropriately categorized into domains of the NASSS framework with barriers and facilitators in the "Technology," "Organization," and "Adopters" domains most frequently reported. No determinants were assigned to the "Embedding and Adaptation Over Time" domain. This review identified the most common determinants which could be targeted for modification to either remove barriers or facilitate the adoption and use of CDSS within hospitals. Greater adoption of implementation theory should be encouraged to support CDSS implementation.
  • Publisher: England: BioMed Central Ltd
  • Language: English
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