Evidence map›Paper›PMID 40598357›Full record

ArticleBMC health services research2025

Agile implementation for hypertension control in primary care.

Diana Summanwar, Paul T Mingo, Tanya K D Wilson, Celia Menke, Andrew Van Velsor, Malaz Boustani

Abstract read
In one paragraph

Article in BMC health services research, 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.

Diana SummanwarDepartment of Family Medicine, Indiana University School of Medicine, 1040 Wishard Blvd, Indianapolis, IN, 46202, USA. dsummanw@iu.edu.
Paul T MingoDepartment of Family Medicine, Indiana University School of Medicine, 1040 Wishard Blvd, Indianapolis, IN, 46202, USA.
Tanya K D WilsonDepartment of Family Medicine, Indiana University School of Medicine, 1040 Wishard Blvd, Indianapolis, IN, 46202, USA.
Celia MenkeDepartment of Family Medicine, Indiana University School of Medicine, 1040 Wishard Blvd, Indianapolis, IN, 46202, USA.
Andrew Van VelsorDepartment of Family Medicine, Indiana University School of Medicine, 1040 Wishard Blvd, Indianapolis, IN, 46202, USA.
Malaz BoustaniDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is a leading cause of morbidity and mortality, affecting 48% of US adults, with nearly three quarters of them remaining uncontrolled. Despite evidence-based guidelines for the management of hypertension, gaps persist in their clinical application. The aim of this study was to improve blood pressure control rates among nonpregnant adult patients in primary care.

methodsWe applied the Agile Implementation process to address barriers to guideline implementation. Using an iterative quality improvement approach, we implemented the AI process in a clinic serving minority and underserved populations from January 2023 to December 2023.

resultsThe AI process increased hypertension control rates from 43 to 58%, using a target blood pressure below 140/90 mmHg.

conclusionsThe AI process effectively improved hypertension control rates in an underserved primary care setting, offering a scalable approach for enhancing outcomes in similar populations.

Indexed as

HypertensionPrimary Health CareQuality ImprovementGuideline AdherenceHumansPractice Guidelines as TopicAgileHealthcare deliveryHypertensionImplementationPrimary careQuality improvement

Identifiers

PMID40598357
PMCPMC12210747

What OpenQuestion holds

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Registered trials

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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.