Evidence map›Paper›PMID 40279123›Full record

ArticleJAMA network open2025

Integrating a High Blood Pressure Advisory Across a Primary Care Network.

Anuradha Phadke, Yingjie Weng, Cati Brown Johnson, Marcy Winget, Megan Mahoney, Christopher Sharp, Amelia Sattler, Shreya Shah, Manisha Desai, Stanley Ng and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

11 authors.

Anuradha PhadkeDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Yingjie WengQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Cati Brown JohnsonDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Marcy WingetDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Megan MahoneyDepartment of Family and Community Medicine, University of California San Francisco, San Francisco.
Christopher SharpDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Amelia SattlerDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Shreya ShahDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Manisha DesaiQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.
Stanley NgUniversity Medical Partners, Livermore, California.
Jonathan G ShawDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
NCATS NIH HHS UL1 TR003142
6 · The paper itself

Abstract

Importance: Leveraging technology to prompt team-based care might improve ambulatory hypertension care. Objective: To assess whether an electronic medical record (EMR) high blood pressure (BP) advisory improves hypertension control. Design, Setting, and Participants: This quality improvement study assessed hypertension control in patients presenting to primary care office visits from March 2018 to February 2020. Data were included from 28 primary care clinics (8 clinics contributed data toward the primary objective and 28 contributed data toward secondary objectives) in a single academic health system in California before and after intervention and concurrent care team observations and interviews assessing implementation. Data were analyzed from November 2019 to October 2020. Intervention: An EMR high BP advisory combined with team training, audit, and feedback. EMR entry of elevated BP (systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg) prompted an interruptive medical assistant-facing advisory to recheck BP. Persistently elevated BP prompted a second interruptive clinician-facing advisory with order panel link. Main Outcomes and Measures: The primary outcome was BP lower than 140 mm Hg systolic and lower than 90 mm Hg diastolic during an office visit within 6 months of an initial primary care visit. Secondary outcomes included BP recheck after initial elevated value, antihypertensive medication change, and new hypertension diagnoses. Qualitative outcomes focused on implementation barriers and facilitators. Results: The primary outcome assessed 2760 control patients and 3018 intervention patients with preexisting hypertension (mean [SD] age, 66.5 [14.4] years; 2847 [49.2%] women, 1746 [30.2%] Asian, 619 [10.7%] Hispanic, and 2407 [41.7%] White). The likelihood of hypertension control increased 18.3% per month on average (odds ratio [OR], 1.18; 95% CI, 1.10-1.27; P < .001) in the intervention vs control groups. Modeled rates of adjusted hypertension control over 6 months increased from 82.3% to 92.3% for the intervention cohort and decreased from 71.5% to 70.3% for the control (preintervention) cohort. BP recheck rate increased (from 37.6% to 77.9%; OR, 4.76; 95% CI, 4.45-5.10; P < .001), while ordered antihypertensive medications was unchanged. New hypertension diagnosis increased from 12.1% to 20.6% (OR, 1.34; 95% CI, 1.13-1.58; P = .01). In interviews of 34 care team members (clinicians, medical assistants, and managers) from 6 clinics, implementation barriers included competing priorities and time for BP rechecks, order panel complexity, and mixed clinician engagement; facilitators included intervention visibility, EMR integration, and team-based approach. Conclusions and Relevance: This quality improvement study of an EMR high BP advisory intervention found significantly improved primary care hypertension control and diagnosis due to the combination of team-based care and technology.

Indexed as

HypertensionPrimary Health CareAgedAntihypertensive AgentsBlood Pressure DeterminationCaliforniaElectronic Health RecordsFemaleHumansMaleMiddle AgedQuality ImprovementAntihypertensive Agents

Identifiers

PMID40279123
PMCPMC12032570

What OpenQuestion holds

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LicenceCC BY
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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.