Evidence mapPaperPMID 41530631Full record

ArticleJournal of general internal medicine2026

Learning Health System Implementation: Building a Hub-and-Spoke Model for Hypertension Management Through the QI Hub.

Gabriel Alain, Laura J Rush, Riley Summers, Najhee Purdy, Jennifer Eramo, Sarah Jonaus, Keri Cooper, Shalina Nair, Crystal Smarr, Ashley Sneed and 4 more

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Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Gabriel AlainLIFT Lab, College of Medicine, The Ohio State University, Columbus, OH, USA. gabriel.alain@osumc.edu.ORCID http://orcid.org/0000-0001-6458-6897
Laura J RushCATALYST, College of Medicine, The Ohio State University, Columbus, OH, USA.
Riley SummersLIFT Lab, College of Medicine, The Ohio State University, Columbus, OH, USA.
Najhee PurdyLIFT Lab, College of Medicine, The Ohio State University, Columbus, OH, USA.
Jennifer EramoLIFT Lab, College of Medicine, The Ohio State University, Columbus, OH, USA.
Sarah JonausGeneral Internal Medicine Division, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Keri CooperQuality and Operations, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Shalina NairDepartment of Family Medicine, The University of Vermont Health Network, Burlington, VT, USA.
Crystal SmarrQuality and Operations, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Ashley SneedFamily and Community Medicine Division, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Anne VanBurenQuality and Operations, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Lauren TeuschlerCATALYST, College of Medicine, The Ohio State University, Columbus, OH, USA.
Jamileh AlainLIFT Lab, College of Medicine, The Ohio State University, Columbus, OH, USA.
Catherine Quatman-YatesLIFT Lab, College of Medicine, The Ohio State University, Columbus, OH, USA.

Funding

Ohio Department of Medicaid AWD115102
6 · The paper itself

Abstract

backgroundIn July 2022, the Ohio Department of Medicaid (ODM) launched a statewide Regional Quality Improvement (QI) Hub program using a hub-and-spoke model to embed Learning Health System (LHS) capabilities in primary care. The Ohio State University (OSU) Hub piloted the approach across ten affiliated sites, aiming to raise overall hypertension control by ≥ 10 percentage points and promote more consistent levels of hypertension control across patient populations by June 2027. This report describes the first 18 months post-implementation.

methodsA mixed-methods, formative evaluation followed the Exploration-Preparation-Implementation-Sustainment (EPIS) framework. The hub provided centralized data extraction (bi-weekly Epic pulls), an R Shiny dashboard, and tailored coaching on Plan-Do-Study-Act cycles (PDSA) while participating in statewide learning collaboratives. Blood pressure (BP) control rates were tracked with statistical process control (SPC) charts. Site-level logistic regressions tested interaction effects between demographics (non-Hispanic Black vs. White) and implementation period.

resultsAmong 22,563 hypertensive adults (73,264 encounters), the baseline centerline was 72.9% controlled BP. Two SPC shifts, April 2024 to 77.3% and July 2024 to 79.1%, produced a + 6.2 percentage-point (+ 8.5%) relative improvement, equating to ~ 4542 additional controlled BP encounters beyond baseline expectations. Site-level absolute changes ranged from -3.9% to + 14.6%. Across sites, six narrowed and four widened the Black-White BP control gap. Site-level sensitivity analysis showed no significant change in the gap. Qualitative data highlighted the importance of near real-time feedback and flexible coaching; staffing turnover constrained progress in several under-resourced clinics.

conclusionImplementing a hub-and-spoke LHS model within a large academic health system was feasible and associated with sustained gains in hypertension control over 18 months. Centralized analytics, adaptive QI support, and statewide peer learning were key enablers, whereas workforce instability remained a barrier. Early results support the model's potential to build LHS capacity in primary care, with ongoing work needed to strengthen uniform impact and long-term sustainability.

Indexed as

blood pressure controlhealthcare infrastructurehub-and-spoke modelhypertensionimplementation sciencelearning health systempopulation health managementprimary carequality improvement

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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 Socratic graph.