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Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial
- Source :
- Implementation Science, Vol 15, Iss 1, Pp 1-10 (2020), Implementation Science : IS, IMPLEMENTATION SCIENCE, Implementation science
- Publication Year :
- 2020
- Publisher :
- BioMed Central, 2020.
-
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
- Subjects :
- Acute coronary syndrome
medicine.medical_specialty
genetic structures
Health Informatics
01 natural sciences
Clinical decision support system
03 medical and health sciences
0302 clinical medicine
SYSTEMS
Computerized physician order entry
Medicine and Health Sciences
medicine
Humans
030212 general & internal medicine
Cluster randomised controlled trial
Diagnostic Errors
0101 mathematics
Disease management (health)
lcsh:R5-920
Primary Health Care
Clinical Laboratory Techniques
business.industry
Research
Health Policy
010102 general mathematics
Public Health, Environmental and Occupational Health
Health services research
General Medicine
Decision Support Systems, Clinical
medicine.disease
Clinical trial
Emergency medicine
Human medicine
lcsh:Medicine (General)
business
Kidney disease
Subjects
Details
- ISSN :
- 17485908
- Database :
- OpenAIRE
- Journal :
- Implementation Science, Vol 15, Iss 1, Pp 1-10 (2020), Implementation Science : IS, IMPLEMENTATION SCIENCE, Implementation science
- Accession number :
- edsair.doi.dedup.....b179ac30a35aaabb1f368272cb71c16c