The impact of clinical decision support systems on provider behavior in the inpatient setting: A systematic review and meta-analysis
- PMID: 35514024
- DOI: 10.1002/jhm.12825
The impact of clinical decision support systems on provider behavior in the inpatient setting: A systematic review and meta-analysis
Abstract
Background: Clinical decision support systems (CDSS) are used to improve processes of care. CDSS proliferation may have unintended consequences impacting effectiveness.
Objective: To evaluate the effectiveness of CDSS in altering clinician behavior.
Design: Electronic searches were performed in EMBASE, PubMed, and Cochrane Central Register of Control Trials for randomized controlled trials testing the impacted of CDSS on clinician behavior from 2000-2021. Extracted data included study design, CDSS attributed and outcomes, user characteristics, settings, and risk of bias. Eligible studies were analyzed qualitatively to describe CDSS types. Studies with sufficient outcome data were included in the meta-analysis.
Setting and participants: Adult inpatients in the United States.
Intervention: Clinical decision support system versus non-clinical decision support system.
Main outcome and measure: A random-effects model measured the pooled risk difference (RD) and odds ratio of clinicians' adherence to CDSS; subgroup analyses tested differences in CDSS effectiveness over time and by CDSS type.
Results: Qualitative synthesis included 22 studies. Eleven studies reported sufficient outcome data for inclusion in the meta-analysis. CDSS did not result in a statistically significant increase in clinician adoption of desired practicies (RD = 0.04 [95% confidence interval {CI} 0.00, 0.07]). CDSS from 2010-2015 (n = 5) did not increase clinician adoption of desired practice [RD -0.01, (95% CI -0.04, 0.02)].CDSS from 2016-2021 (n = 6) were associated with an increase in targeted practices [RD 0.07 (95% CI0.03, 0.12)], pInteraction = 0.004. EHR [RD 0.04 (95% CI 0.00, 0.08)] vs. non-EHR [RD 0.01 (95% CI -0.01, 0.04)] based CDSS interventions did not result in different adoption of desired practices (pInteraction = 0.27). The meta-analysis did not find an overall positive impact of CDSS on clinician behavior in the inpatient setting.
© 2022 Society of Hospital Medicine.
References
REFERENCES
-
- Garg AX, Adhikari NK, Mcdonald H, et al. Effects of computerized clinical decision support systems on practitioner performance. JAMA. 2005;293(10):1223-1238. doi:10.1001/jama.293.10.1223
-
- Moja L, Kwag KH, Lytras T, et al. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis. Am J Public Health. 2014;104(12):e12-e22. doi:10.2105/AJPH.2014.302164
-
- Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. Br Med J. 2005;330(7494):765-768. doi:10.1136/bmj.38398.500764.8f
-
- Kane-Gill SL, O'Connor MF, Rothschild JM, et al. Technologic distractions (part 1): summary of approaches to manage alert quantity with intent to reduce alert fatigue and suggestions for alert fatigue metrics. Crit Care Med. 2017;45(9):1481-1488. doi:10.1097/CCM.0000000000002580
-
- Varghese J, Kleine M, Gessner SI, Sandmann S, Dugas M. Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review. J Am Med Inform Assoc. 2018;25(5):593-602. doi:10.1093/jamia/ocx100
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