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Impact of a 'Chart Closure' Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study

Authors :
Ramirez, Magaly
Chen, Kimberly
Follett, Robert W
Mangione, Carol M
Moreno, Gerardo
Bell, Douglas S
Source :
JMIR Medical Informatics, Vol 8, Iss 4, p e16421 (2020)
Publication Year :
2020
Publisher :
JMIR Publications, 2020.

Abstract

BackgroundUniversity of California at Los Angeles Health implemented a Best Practice Advisory (BPA) alert for the initiation of an angiotensin-converting enzyme inhibitor (ACEI) or angiotensin-receptor blocker (ARB) for individuals with diabetes. The BPA alert was configured with a “chart closure” hard stop, which demanded a response before closing the chart. ObjectiveThe aim of the study was to evaluate whether the implementation of the BPA was associated with changes in ACEI and ARB prescribing during primary care encounters for patients with diabetes. MethodsWe defined ACEI and ARB prescribing opportunities as primary care encounters in which the patient had a diabetes diagnosis, elevated blood pressure in recent encounters, no active ACEI or ARB prescription, and no contraindications. We used a multivariate logistic regression model to compare the change in the probability of an ACEI or ARB prescription during opportunity encounters before and after BPA implementation in primary care sites that did (n=30) and did not (n=31) implement the BPA. In an additional subgroup analysis, we compared ACEI and ARB prescribing in BPA implementation sites that had also implemented a pharmacist-led medication management program. ResultsWe identified a total of 2438 opportunity encounters across 61 primary care sites. The predicted probability of an ACEI or ARB prescription increased significantly from 11.46% to 22.17% during opportunity encounters in BPA implementation sites after BPA implementation. However, in the subgroup analysis, we only observed a significant improvement in ACEI and ARB prescribing in BPA implementation sites that had also implemented the pharmacist-led program. Overall, the change in the predicted probability of an ACEI or ARB prescription from before to after BPA implementation was significantly greater in BPA implementation sites compared with nonimplementation sites (difference-in-differences of 11.82; P

Details

Language :
English
ISSN :
22919694 and 39447839
Volume :
8
Issue :
4
Database :
Directory of Open Access Journals
Journal :
JMIR Medical Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.29364fa6c39447839d3df7e12975acda
Document Type :
article
Full Text :
https://doi.org/10.2196/16421