Displaying Cost and Completion Time for Reference Laboratory Test Orders-A Randomized Controlled Trial

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Abstract

OBJECTIVES:  Reduction in unnecessary services is one strategy for increasing the value of health care. Reference laboratory, or send-out, tests are associated with considerable costs. We investigated whether displaying cost and turnaround time (TAT), or time-to-result, for reference laboratory tests at the time of order entry in the electronic health record (EHR) system would impact provider ordering practices. METHODS:  Reference laboratory test cost and TAT data were randomized prior to the study and only displayed for the intervention group. A 24-month dataset composed of 12 months each for baseline and study periods was extracted from the clinical data mart. A difference-in-differences (DID) analysis was conducted using a linear mixed-effects model to estimate the association between the intervention and changes in test-ordering patterns. RESULTS:  In the inpatient setting, the DIDs of aggregate test-order costs and volume were not different among the control and intervention groups (p = 0.31 and p = 0.26, respectively). In the ambulatory setting, the DIDs of aggregate test-order costs and volume were not different among the control and intervention groups (p = 0.82 and p = 0.51, respectively). For both inpatient and ambulatory settings, no significant difference was observed in the DID of aggregate test-order costs and volumes calculated in respect to stratified relative cost and TAT groups (p > 0.05). CONCLUSION:  Lack of alternative tests, test orders placed at a late step in patient management, and orders facilitated by trainees or mid-level providers may have limited the efficacy of the intervention. Our randomized study demonstrated no significant association between the display of cost or TAT display and ordering frequency.

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APA

Ikoma, S., Pierce, L., Bell, D. S., Cheng, E. M., Drake, T., Guo, R., & Ziman, A. (2022). Displaying Cost and Completion Time for Reference Laboratory Test Orders-A Randomized Controlled Trial. Applied Clinical Informatics, 13(3), 656–664. https://doi.org/10.1055/a-1854-4253

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