Evidence map›Paper›PMID 38850400›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2024

Development and usability of an EHR-driven hypertension disparities dashboard in primary care: A qualitative study.

Emmanuel Adediran, Robert Owens, Elena Gardner, Alex Lockrey, Emily Carlson, Danielle Forbes, John Stuligross, Dominik Ose

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Emmanuel AdediranDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-4395-2485
Robert OwensDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA.
Elena GardnerDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA.
Alex LockreyDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA.
Emily CarlsonCommunity Physicians Group, University of Utah, Salt Lake City, Utah, USA.
Danielle ForbesUtah Department of Health and Human Services, Salt Lake City, Utah, USA.
John StuligrossIntermountain Healthcare, Salt Lake City, Utah, USA.
Dominik OseDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA.

Funding

Utah Department of Health and Human Services 5NU58DP00609-05-00
6 · The paper itself

Abstract

Hypertension disparities persist and remain high among racial and ethnic minority populations in the United States (US). Data-driven approaches based on electronic health records (EHRs) in primary care are seen as a strong opportunity to address this situation. This qualitative study evaluated the development, sustainability, and usability of an EHR-integrated hypertension disparities dashboard for health care professionals in primary care. Ten semi-structured interviews, exploring the approach and sustainability, as well as eight usability interviews, using the think aloud protocol were conducted with quality improvement managers, data analysts, program managers, evaluators, and primary care providers. For the results, dashboard development steps include having clear goals, defining a target audience, compiling data, and building multidisciplinary teams. For sustainability, the dashboard can enhance understanding of the social determinants of health or to inform QI projects. In terms of dashboard usability, positive aspects consisted of the inclusion of summary pages, patient's detail pages, and hover-over interface. Important design considerations were refining sorting functions, gender inclusivity, and increasing dashboard visibility. In sum, an EHR-driven dashboard can be a novel tool for addressing hypertension disparities in primary care. It offers a platform where clinicians can identify patients for culturally tailored interventions. Factors such as physician time constraints, data definitions, comprehensive patient demographic information, end-users, and future sustenance, should be considered before implementing a dashboard. Additional research is needed to identify practices for integrating a dashboard into clinical workflow for hypertension.

Indexed as

Electronic Health RecordsHypertensionPrimary Health CareQualitative ResearchAdultEthnicityFemaleHealthcare DisparitiesHumansInterviews as TopicMaleMiddle AgedQuality ImprovementRacial GroupsUnited Statesdashboardelectronic health records (EHR)hypertensionprimary careracial and ethnic minorities

Identifiers

PMID38850400
PMCPMC11232442

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.