Evidence map›Paper›PMID 41944187›Full record

ArticleJournal of the American Heart Association2026

Factors Influencing Quality Improvement Success in Primary Care: A Comparative Case Study of High- and Low-Performing Sites in Patient Hypertension Outcomes.

Jacqueline M Knapke, Manpreet Kaur, Sonal J Patil, Shari D Bolen, Kurt C Stange, Randy Wexler, Aleece Caron, Jackson T Wright, Jordan Fiegl, Hannah E Hill and 8 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2026. 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

18 authors.

Jacqueline M KnapkeUniversity of Cincinnati Cincinnati OH USA.ORCID 0000-0001-5585-5629
Manpreet KaurCase Western Reserve University Cleveland OH USA.ORCID 0000-0003-4878-6420
Sonal J PatilCase Western Reserve University Cleveland OH USA.
Shari D BolenCase Western Reserve University Cleveland OH USA.ORCID 0000-0003-1469-8203
Kurt C StangeCase Western Reserve University Cleveland OH USA.ORCID 0000-0002-2189-0191
Randy WexlerThe Ohio State University Columbus OH USA.ORCID 0000-0002-9658-9109
Aleece CaronCase Western Reserve University Cleveland OH USA.
Jackson T WrightCase Western Reserve University Cleveland OH USA.ORCID 0000-0003-2557-7239
Jordan FieglThe MetroHealth System Cleveland OH USA.
Hannah E HillThe MetroHealth System Cleveland OH USA.ORCID 0000-0001-6431-8470
Doug EinstadterCase Western Reserve University Cleveland OH USA.ORCID 0000-0002-7673-4436
Thomas E LoveCase Western Reserve University Cleveland OH USA.ORCID 0000-0002-2077-6135
Christopher TaylorThe Ohio State University Columbus OH USA.ORCID 0000-0002-0839-0213
Stephanie KanuchThe MetroHealth System Cleveland OH USA.
Jaden KorenUniversity of Cincinnati Cincinnati OH USA.
Deborah CohenOregon Health Sciences University Portland OR USA.
Saundra L ReganUniversity of Cincinnati Cincinnati OH USA.ORCID 0000-0002-1783-4293
Adam PerzynskiCase Western Reserve University Cleveland OH USA.ORCID 0000-0002-1323-0353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 50% of adults with hypertension have their blood pressure under control. Although the success of quality improvement (QI) initiatives aiming to improve blood pressure control varies across clinics, little is known about factors related to this variability. We conducted a mixed-methods comparative case study to describe the factors that affected clinics' QI success within a statewide cardiovascular health collaborative.

methodsForty-eight primary care clinics (caring for 357 158 patients) implemented QI for heart health. Using blood pressure control improvement rates from pre- to postimplementation, practice type, and location, we selected 8 sites for our case comparison. We then conducted site observations and interviews with team members at the high-performing sites (hypertension improved 11.7%-15.2% among 1364 patients) and low-performing sites (hypertension worsened -1.8% to -11.2% among 3614 patients).

resultsKey facilitators shared by all sites included QI coaching, data monitoring, regular team meetings, use of program resources, and commitment to QI. Key barriers shared by both high- and low-performing sites included staff challenges, internal barriers, and competing priorities. Notably, although thematic similarities were found across all sites, differences in performance emerged in how the sites responded: either proactively or reactively.

conclusionsThis study examined differences in implementation between high- and low-performing practices that participated in a statewide QI initiative. Results highlight the importance of proactive approaches to addressing barriers to achieve improvements in blood pressure control. Findings can inform future QI work in primary care, underscoring the need for tailored strategies to promote effective implementation and better outcomes.

Indexed as

Blood PressureHypertensionPrimary Health CareQuality ImprovementQuality Indicators, Health CareAntihypertensive AgentsFemaleHumansMiddle AgedTreatment OutcomeAntihypertensive Agentsblood pressurehypertensionmixed methodsprimary carequality improvement

Identifiers

PMID41944187
PMCPMC13279165

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LicenceCC BY-NC
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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.