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Clinical decision support systems for chronic obstructive pulmonary disease (COPD) in hospitals: A systematic review
Adeola Bamgboje-Ayodele1, David N Borg2,3, Steven M McPhail2,3
1Biomedical Informatics and Digital Health, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Objectives:
To synthesise the literature on clinical decision support (CDS) systems for chronic obstructive pulmonary disease (COPD). We aimed to (1) describe existing COPD CDS systems that have been designed, developed or are being used in practice, (2) describe the impact of COPD CDS systems on outcomes and (3) identify barriers and facilitators to implementation of COPD CDS systems.
Methods:
Five databases were searched to identify relevant studies. All studies in English that described clinician-facing COPD CDS systems designed for, or implemented in, hospitals and hospital-in-the-home settings were included. A qualitative narrative synthesis was undertaken, guided by the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation and Maintenance).
Results:
Twelve studies reporting the use of CDS in hospital (n = 7) and hospital-in-the-home (n = 5) settings were included. Implementation efforts to reach target users were scantly reported, and low-to-medium adoption rates were observed. The reported effectiveness of the CDS systems was mixed. Only one study reported facilitators to the implementation of CDS systems, none reported on barriers to the implementation of CDS systems, and none reported any information on successful strategies to maintain implementation of CDS systems.
Conclusion:
The use of CDS systems in the management of patients with COPD in hospital-related settings is an important emerging field of research. Evidence suggests that the field has largely focused on systems targeted at physicians, often with incomplete descriptions and limited evaluations. Many opportunities to optimise and evaluate the implementation and use of COPD CDS systems in hospital settings remain, including robust evaluation of their impact on patient, clinician and health service outcomes.
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