Implementation of an integrated, clinical decision support tool at the point of antihypertensive medication refill request to improve hypertension management (Preprint)
Year: 2025
Type: preprint
Study design: Clinical Trial
Abstract: BACKGROUND Improved processes around the management of Electronic Health Record (EHR) requests for chronic antihypertensive medication renewals may represent an opportunity to improve blood pressure management at the individual and population level. OBJECTIVE This study aimed to evaluate the effectiveness of The eRx HTN Chart Check, an integrated clinical decision support tool available at the point of antihypertensive medication refill request, to facilitate enhanced provider management of chronic hypertension. METHODS The study was conducted at 2 Mayo Clinic sites, Northwest Wisconsin Family Medicine and Rochester Community Internal Medicine practices, with control groups in comparable Mayo Clinic practices. The intervention integrated structured clinical data, including recent blood pressure readings, lab results, and visit dates, into the electronic prescription renewal interface to facilitate prescriber decision making around hypertension management. A Difference-in-Differences (DID) design compared pre- and post-intervention hypertension control rates in the intervention and control groups. Data were collected from the Epic EHR system and analyzed using linear regression models. RESULTS The baseline blood pressure control rates were slightly higher in intervention clinics. Post-implementation, no significant improvement in population-level hypertension control was observed (DID estimate: 0.07%, 95% CI: -4.0% to 4.1%; p = 0.973). Of the 19,968 refill requests processed, 46% passed all monitoring criteria. However, clinician approval rates remained high (90%), indicating minimal impact on prescribing behavior. CONCLUSIONS Despite successful implementation of the eRx HTN Chart check tool, exposed practices did not see significant improvements in hypertension control, possibly due to competing quality initiatives and high in-basket volumes. Future iterations should focus on enhanced integration with other decision support tools and strategies to improve clinician engagement and patient outcomes. Further research is needed to optimize chronic disease management through EHR-integrated decision support systems. CLINICALTRIAL N/A
Authors: John Charles Matulis 3rd, Jason Greenwood, Michele Eberle, Benjamin Anderson, David Blair, Rajeev Chaudhry
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4406986125