Evidence map›Paper›PMID 40215469›Full record

ArticleJMIR medical informatics2025

Implementation of an Integrated, Clinical Decision Support Tool at the Point of Antihypertensive Medication Refill Request to Improve Hypertension Management: Controlled Pre-Post Study.

John Charles Matulis Rd, Jason Greenwood, Michele Eberle, Benjamin Anderson, David Blair, Rajeev Chaudhry

Abstract read
In one paragraph

Article in JMIR medical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

John Charles Matulis RdDivision of Community Internal Medicine, Geriatrics and Palliative Care, Mayo Clinic, 200 1st St. SW, Rochester, MN, 55905, United States, 1 5072845278.ORCID 0000-0001-9319-5457
Jason GreenwoodDivision of Community Internal Medicine, Geriatrics and Palliative Care, Mayo Clinic, 200 1st St. SW, Rochester, MN, 55905, United States, 1 5072845278.ORCID 0000-0002-9397-0107
Michele EberleDepartment of Family Medicine, Mayo Clinic Health System, Eau Claire, WI, United States.ORCID 0009-0001-2777-1900
Benjamin AndersonDepartment of Pharmacy, Mayo Clinic, Rochester, MN, United States.ORCID 0009-0005-9864-4393
David BlairDepartment of Family Medicine, Mayo Clinic Health System, Eau Claire, WI, United States.ORCID 0000-0002-8404-3248
Rajeev ChaudhryDivision of Community Internal Medicine, Geriatrics and Palliative Care, Mayo Clinic, 200 1st St. SW, Rochester, MN, 55905, United States, 1 5072845278.ORCID 0000-0003-1249-5656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Improving processes regarding the management of electronic health record (EHR) requests for chronic antihypertensive medication renewals may represent an opportunity to enhance blood pressure (BP) 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, in facilitating enhanced provider management of chronic hypertension. Methods: The study was conducted at two 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 BP readings, laboratory results, and visit dates, into the electronic prescription renewal interface to facilitate prescriber decision-making regarding hypertension management. A difference-in-differences (DID) design compared pre- and postintervention hypertension control rates between the intervention and control groups. Data were collected from the Epic EHR system and analyzed using linear regression models. Results: The baseline BP control rates were slightly higher in intervention clinics. Postimplementation, no significant improvement in population-level hypertension control was observed (DID estimate: 0.07%, 95% CI -4.0% to 4.1%; P=.97). Of the 19,968 refill requests processed, 46% met all monitoring criteria. However, clinician approval rates remained high (90%), indicating minimal impact on prescribing behavior. Conclusions: Despite successful implementation, the tool did not significantly improve 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.

Indexed as

Antihypertensive AgentsDecision Support Systems, ClinicalDrug PrescriptionsHypertensionAgedControlled Before-After StudiesElectronic Health RecordsFemaleHumansMaleMiddle AgedWisconsinAntihypertensive Agentsclinical decision support systemselectronic health recordshypertensionpopulation health

Identifiers

PMID40215469
PMCPMC12007840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.