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      Effectiveness of clinical dashboards as audit and feedback or clinical decision support tools on medication use and test ordering: a systematic review of randomized controlled trials

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          Abstract

          Background

          Clinical dashboards used as audit and feedback (A&F) or clinical decision support systems (CDSS) are increasingly adopted in healthcare. However, their effectiveness in changing the behavior of clinicians or patients is still unclear. This systematic review aims to investigate the effectiveness of clinical dashboards used as CDSS or A&F tools (as a standalone intervention or part of a multifaceted intervention) in primary care or hospital settings on medication prescription/adherence and test ordering.

          Methods

          Seven major databases were searched for relevant studies, from inception to August 2021. Two authors independently extracted data, assessed the risk of bias using the Cochrane RoB II scale, and evaluated the certainty of evidence using GRADE. Data on trial characteristics and intervention effect sizes were extracted. A narrative synthesis was performed to summarize the findings of the included trials.

          Results

          Eleven randomized trials were included. Eight trials evaluated clinical dashboards as standalone interventions and provided conflicting evidence on changes in antibiotic prescribing and no effects on statin prescribing compared to usual care. Dashboards increased medication adherence in patients with inflammatory arthritis but not in kidney transplant recipients. Three trials investigated dashboards as part of multicomponent interventions revealing decreased use of opioids for low back pain, increased proportion of patients receiving cardiovascular risk screening, and reduced antibiotic prescribing for upper respiratory tract infections.

          Conclusion

          There is limited evidence that dashboards integrated into electronic medical record systems and used as feedback or decision support tools may be associated with improvements in medication use and test ordering.

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          Most cited references39

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            RoB 2: a revised tool for assessing risk of bias in randomised trials

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              GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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                Author and article information

                Contributors
                Journal
                J Am Med Inform Assoc
                J Am Med Inform Assoc
                jamia
                Journal of the American Medical Informatics Association : JAMIA
                Oxford University Press
                1067-5027
                1527-974X
                October 2022
                11 June 2022
                11 June 2022
                : 29
                : 10
                : 1773-1785
                Affiliations
                Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London , London, UK
                Institute for Musculoskeletal Health , Sydney, NSW, Australia
                Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney , Sydney, NSW, Australia
                Department of Chiropractic Medicine, Faculty of Medicine, University of Zurich and Balgrist University Hospital , Zurich, Switzerland
                Epidemiology, Biostatistics and Prevention Institute, University of Zurich , Zurich, Switzerland
                Department of Chiropractic Medicine, Faculty of Medicine, University of Zurich and Balgrist University Hospital , Zurich, Switzerland
                Institute for Musculoskeletal Health , Sydney, NSW, Australia
                Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney , Sydney, NSW, Australia
                Institute for Musculoskeletal Health , Sydney, NSW, Australia
                Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney , Sydney, NSW, Australia
                Author notes
                Corresponding Author: Ms Charis Xuan Xie, Wolfson Institute of Population Health, Queen Mary University of London, Barts and The London School of Medicine and Dentistry, Yvonne Carter Building, 58 Turner Street, London E1 2AB, UK; charis.xie@ 123456qmul.ac.uk
                Author information
                https://orcid.org/0000-0002-0029-9159
                Article
                ocac094
                10.1093/jamia/ocac094
                9471705
                35689652
                e0526b54-4b6d-4402-ad09-a90d7848a2c9
                © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 March 2022
                : 04 May 2022
                : 20 May 2022
                : 31 May 2022
                Page count
                Pages: 13
                Categories
                Reviews
                Featured
                Editor's Choice
                AcademicSubjects/MED00580
                AcademicSubjects/SCI01060
                AcademicSubjects/SCI01530

                Bioinformatics & Computational biology
                dashboard,audit and feedback,clinical decision support,review

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