Improving Judicious Use of Heparin-Induced Thrombocytopenia Testing Through Electronic Health Record-Based Intervention

被引:0
|
作者
Machhi, Rushad [1 ]
Lindholm, Paul F. [2 ]
Cooke, David [3 ]
Groth, Matthew [4 ]
Martin, Karlyn A. [5 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Dept Med, Evanston, IL USA
[2] Northwestern Univ, Feinberg Sch Med, Dept Pathol, Evanston, IL USA
[3] Northwestern Univ, Feinberg Sch Med, Northwestern Med, Evanston, IL USA
[4] Northwestern Mem Hosp, Chicago, IL USA
[5] Northwestern Univ, Feinberg Sch Med, Div Hematol & Oncol, Evanston, IL 60208 USA
关键词
CLINICAL DECISION-SUPPORT; 4TS SCORING SYSTEM; DIAGNOSIS; ANTIBODY; MANAGEMENT; ASSAY;
D O I
10.1016/j.jcjq.2023.06.015
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Heparin-induced thrombocytopenia (HIT) is an immune-mediated drug reaction that can cause throm-boembolism in the setting of thrombocytopenia. An enzyme-linked immunosorbent assay (ELISA)-based assay to screen for HIT antibodies (HAb) is available but has relatively low specificity and a correspondingly high false positive rate. The 4Ts score has been validated to determine the pretest probability of HIT. The authors hypothesized that an electronic health record (EHR)-based clinical decision support (CDS) tool incorporating the 4Ts score would reduce the volume of HAb orders.Methods: After implementing a CDS tool into the EHR, the researchers retrospectively evaluated the impact from November 2019 to October 2021, compared to a preintervention period (January to October 2019). The primary outcome was average tests per month. Secondary outcomes included rates of tests ordered per total inpatient encounters and proportion of HAb sent despite low 4Ts score in the postintervention study period.Results: Of 1,833 HAb sent during the study period, 1,217 occurred in the postintervention period. In the postinterven-tion period compared with the preintervention period, the average orders per month was 50.5 (standard deviation [SD] 9.7) vs. 61.6 (SD 7.2) ( p = 0.003), and the order incidence rate was 8.0 per 1,000 patient encounters postintervention vs. 9.2 per 1,000 patient encounters preintervention (rate ratio [RR] 0.87, 95% confidence interval [CI] 0.79-0.96, p = 0.002). Postintervention, 252 (20.7%) had a 4Ts score calculated as low probability, 759 (62.4%) as intermediate probability, and 131 (10.8%) as high probability, and 75 had no associated 4Ts score.Conclusion: Implementation of a simple CDS tool reduced the rate of HAb orders, reducing unnecessary HAb testing.
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收藏
页码:648 / 654
页数:7
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