Evidence map›Paper›PMID 39762680›Full record

ArticleJournal of general internal medicine2025

Organizational Determinants to Hypertension Management: Adapting a Health Equity Framework to Examine Processes at Two Academic Health Systems.

Justin Kramer, Aditi Gupta, Shellie Ellis, Jessica Reed, Yashashwi Pokharel, Andrew McWilliams, Yhenneko J Taylor

Abstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 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. Trial
  2. Trial
  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

7 authors.

Justin KramerDepartment of Family and Community Medicine, Wake Forest University School of Medicine, 1920 W 1st St, 6th Floor, Winston-Salem, NC, 27104, USA. jwkramer@wakehealth.edu.ORCID 0000-0003-3791-1548
Aditi GuptaDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Shellie EllisDepartment of Population Health, University of Kansas Medical Center, Kansas City, KS, USA.
Jessica ReedDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Yashashwi PokharelCenter for Health System Sciences, Atrium Health, Charlotte, NC, USA.
Andrew McWilliamsDivision of Hospital Medicine, Department of Internal Medicine, Atrium Health, Charlotte, NC, USA.
Yhenneko J TaylorCenter for Health System Sciences, Atrium Health, Charlotte, NC, USA.

Funding

Remote Monitoring and Virtual Collaborative Care for Hypertension Control to Prevent Cognitive DeclineR33AG068483 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BURNS, JEFFREY MURRAY, GUPTA, ADITI · 2021 to 2024
$11.4M
Cognitive Impairment in End Stage Renal DiseaseK23AG055666 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GUPTA, ADITI · 2017 to 2022
$1.2M
NIA NIH HHS K23 AG055666NIA NIH HHS R33 AG068483
6 · The paper itself

Abstract

backgroundHypertension management is a national priority. However, hypertension control rates are suboptimal and vary across clinics, even among those in the same health system and geographic region.

objectiveTo identify organizational barriers and facilitators that impact hypertension management at the provider, clinic, and health system level.

designSemi-structured interviews were conducted to assess patient and provider experiences with hypertension care.

participantsTwenty-five providers and 22 patients with uncontrolled hypertension were recruited from thirteen high- and low-performing primary care clinics across two health systems in North Carolina and Kansas. APPROACH: Interviews were analyzed using both inductive and deductive coding methodologies. A health equity framework scaffolded interview guide design and codebook development, with thematic analysis employed to categorize emergent themes. KEY

resultsParticipants discussed organizational and clinic-level barriers and facilitators that impact hypertension management, with health systems' resource centralization being frequently mentioned. Some participants lauded centralized interventions for improving patient access and increasing touchpoints, while others lamented reductions in clinic staffing to accommodate centralized workflows. Insufficient in-clinic staffing and blood pressure (BP) measurement equipment, limited exam rooms, short appointment duration, and hurried clinic environments were all mentioned as challenges to hypertension management, particularly as they hindered adherence to BP recheck policies. Appointment availability was mentioned as a barrier; however, some providers referenced clinics' use of virtual and/or nurse-specific visits as a mechanism to increase patient access. Multiple providers noted that tasks central to hypertension management, like BP telemonitoring and MyChart correspondence, go unaccounted for on their schedules and can lead to unpaid work, which they linked with increased stress and burnout.

conclusionsPrimary care clinics experience multiple interrelated organizational barriers to effective hypertension management. Future studies should examine the impact of different clinic staffing models, including multidisciplinary care teams, telemedicine, and remote BP monitoring, on BP outcomes in diverse primary care settings.

Indexed as

Academic Medical CentersDisease ManagementHealth EquityHypertensionPrimary Health CareAdultFemaleHumansKansasMaleMiddle AgedNorth Carolinablood pressure controlhealth equityhypertension managementorganizational barriersprimary care

Identifiers

PMID39762680
PMCPMC12045853

What OpenQuestion holds

Textmetadata
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.