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Randomized Controlled Trial
. 2020 Nov 4;15(1):100.
doi: 10.1186/s13012-020-01059-y.

Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial

Affiliations
Randomized Controlled Trial

Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial

Nicolas Delvaux et al. Implement Sci. .

Abstract

Background: Inappropriate laboratory test ordering poses an important burden for healthcare. Clinical decision support systems (CDSS) have been cited as promising tools to improve laboratory test ordering behavior. The objectives of this study were to evaluate the effects of an intervention that integrated a clinical decision support service into a computerized physician order entry (CPOE) on the appropriateness and volume of laboratory test ordering, and on diagnostic error in primary care.

Methods: This study was a pragmatic, cluster randomized, open-label, controlled clinical trial.

Setting: Two hundred eighty general practitioners (GPs) from 72 primary care practices in Belgium.

Patients: Patients aged ≥ 18 years with a laboratory test order for at least one of 17 indications: cardiovascular disease management, hypertension, check-up, chronic kidney disease (CKD), thyroid disease, type 2 diabetes mellitus, fatigue, anemia, liver disease, gout, suspicion of acute coronary syndrome (ACS), suspicion of lung embolism, rheumatoid arthritis, sexually transmitted infections (STI), acute diarrhea, chronic diarrhea, and follow-up of medication.

Interventions: The CDSS was integrated into a computerized physician order entry (CPOE) in the form of evidence-based order sets that suggested appropriate tests based on the indication provided by the general physician.

Measurements: The primary outcome of the ELMO study was the proportion of appropriate tests over the total number of ordered tests and inappropriately not-requested tests. Secondary outcomes of the ELMO study included diagnostic error, test volume, and cascade activities.

Results: CDSS increased the proportion of appropriate tests by 0.21 (95% CI 0.16-0.26, p < 0.0001) for all tests included in the study. GPs in the CDSS arm ordered 7 (7.15 (95% CI 3.37-10.93, p = 0.0002)) tests fewer per panel. CDSS did not increase diagnostic error. The absolute difference in proportions was a decrease of 0.66% (95% CI 1.4% decrease-0.05% increase) in possible diagnostic error.

Conclusions: A CDSS in the form of order sets, integrated within the CPOE improved appropriateness and decreased volume of laboratory test ordering without increasing diagnostic error.

Trial registration: ClinicalTrials.gov Identifier: NCT02950142 , registered on October 25, 2016.

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Conflict of interest statement

None of the authors report any competing interests.

Figures

Fig. 1
Fig. 1
Flow of patient recruitment. CDSS, clinical decision support system; ID, identifier

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References

    1. Health Industry Distributors Association (HIDA) 2019 US Laboratory Market Report. 2019.
    1. Washington DC: Health Care Cost Institute . 2017 Health Care Cost and Utilization Report. 2019.
    1. O’Sullivan JW, Stevens S, Hobbs FDR, Salisbury C, Little P, Goldacre B, et al. Temporal trends in use of tests in UK primary care, 2000-15: retrospective analysis of 250 million tests. BMJ. 2018;363:k4666. doi: 10.1136/bmj.k4666. - DOI - PMC - PubMed
    1. Zhi M, Ding EL, Theisen-Toupal J, Whelan J, Arnaout R. The landscape of inappropriate laboratory testing: a 15-year meta-analysis. PLoS One. 2013;8:e78962. doi: 10.1371/journal.pone.0078962. - DOI - PMC - PubMed
    1. van Walraven C, Naylor CD. Do we know what inappropriate laboratory utilization is? A systematic review of laboratory clinical audits. JAMA. 1998;280:550–558. doi: 10.1001/jama.280.6.550. - DOI - PubMed

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