Evidence map›Paper›PMID 38269983›Full record

ReviewStudies in health technology and informatics2024

End Users' Perceived Engagement with Clinical Dashboards: A Rapid Review.

Grace Gao, Christie L Martin, Camille Vaughan, Alayne Markland, Ursula Kelly, Neha Pathak, Joseph Wallace, Zachary Burningham

Abstract readReview
In one paragraph

Review in Studies in health technology and informatics, 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. Designing AI-Enabled Video Monitoring Clinician Dashboard for Neuropsychiatric Symptoms: A Survey of User Needs.The American journal of geriatric psychiatry. Open science, education, and practice · 2026
    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.

Grace GaoVA Quality Scholar Program, Atlanta VA Health Care System, Atlanta, GA, USA.
Christie L MartinUniversity of Minnesota, School of Nursing, Minneapolis, MN, USA.
Camille VaughanBirmingham/Atlanta VA Geriatric Research Education and Clinical Center, Atlanta, GA, USA.
Alayne MarklandBirmingham/Atlanta VA Geriatric Research Education and Clinical Center, Atlanta, GA, USA.
Ursula KellyEmory University, Atlanta, GA, USA.
Neha PathakVA Quality Scholar Program, Atlanta VA Health Care System, Atlanta, GA, USA.
Joseph WallaceVA Quality Scholar Program, Atlanta VA Health Care System, Atlanta, GA, USA.
Zachary BurninghamInformatics, Decision-Enhancement and Analytic Sciences Center of Innovation, Salt Lake City Veterans Affairs Medical Center, Salt Lake City, UT, USA.

Funding

Improving Primary Care Understanding of Resources and Screening for Urinary Incontinence to Enhance Treatment (PURSUIT)U18HS028736 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MARKLAND, ALAYNE DENISE, VAUGHAN, ELIZABETH CAMILLE · 2022 to 2024
$2.6M
Research and Mentoring Program in Improving Access to Incontinence Care for Older AdultsK24AG073586 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Alayne Denise Markland · 2022 to 2026
$619k
AHRQ HHS U18 HS028736NIA NIH HHS K24 AG073586
6 · The paper itself

Abstract

Clinical dashboards are an emerging and fast-evolving technology used to support frontline clinicians' practice. Understanding end users' perceived engagement with clinical dashboards is essential to co-design, implementation, and adoption. There is a lack of literature exploring the integration of dashboards into clinical workflow. This rapid review explores clinical end users' perceived engagement with dashboards that support workflow. We conducted a literature search in PubMed and CINAHL. Four articles met our eligibility criteria. Findings reveal variations in taxonomy and measures used to evaluate clinicians' perceived engagement. There are also a variety of reported barriers and facilitators to adoption. Standardized frameworks and vocabulary are needed to facilitate a common understanding of clinical end users' perceived engagement with dashboards.

Indexed as

Dashboard SystemsEligibility DeterminationPubMedTechnologyWorkflowDashboardsevaluationperceived engagementusabilityworkflow

Identifiers

PMID38269983
PMCPMC12309167

What OpenQuestion holds

Textmetadata
LicenceTDM
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.