Evidence map›Paper›PMID 36223868›Full record

ArticleApplied clinical informatics2022

Developing the VA Geriatric Scholars Programs' Clinical Dashboards Using the PDSA Framework for Quality Improvement.

Zachary Burningham, Regina Richter Lagha, Brittany Duford-Hutchinson, Carol Callaway-Lane, Brian C Sauer, Ahmad S Halwani, Jamie Bell, Tina Huynh, Joseph R Douglas, B Josea Kramer

Open access · hybridAbstract read
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Advancing Newborn Screening Long-Term Follow-Up: Integration ofInternational journal of neonatal screening · 2024
    Article
  5. 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

10 authors at 3 institutions in 1 country.

Zachary BurninghamDivision of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States.
Regina Richter LaghaGeriatric Research Education and Clinical Center (GRECC), Veterans Affairs Greater Los Angeles Medical Center, Los Angeles, California, United States.
Brittany Duford-HutchinsonInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Centers of Innovation (COIN), Salt Lake City Veterans Affairs Medical Center, Salt Lake City, Utah, United States.
Carol Callaway-LaneGeriatric Research Education and Clinical Center (GRECC), Veterans Affairs Tennessee Valley Health Care System, Murfreesboro, Tennessee, United States.
Brian C SauerDivision of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States.
Ahmad S HalwaniInformatics, Decision-Enhancement and Analytic Sciences (IDEAS) Centers of Innovation (COIN), Salt Lake City Veterans Affairs Medical Center, Salt Lake City, Utah, United States.
Jamie BellDivision of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States.
Tina HuynhDivision of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States.
Joseph R DouglasGeriatric Research Education and Clinical Center (GRECC), Veterans Affairs Greater Los Angeles Medical Center, Los Angeles, California, United States.
B Josea KramerGeriatric Research Education and Clinical Center (GRECC), Veterans Affairs Greater Los Angeles Medical Center, Los Angeles, California, United States.
University of Utah · USGeriatric Research Education and Clinical Center · USLos Angeles Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvolving clinician end users in the development process of clinical dashboards is important to ensure that user needs are adequately met prior to releasing the dashboard for use. The challenge with following this approach is that clinician end users can undergo periodic turnover, meaning, the clinicians that played a role in the initial development process may not be the same individuals that use the dashboard in future.

objectivesHere, we summarize our Plan, Do, Study, Act (PDSA)-guided clinical dashboard development process for the VA Geriatric Scholars Program (GSP) and the value of continuous, iterative development. We summarize dashboard adaptations that resulted from two PDSA cycles of improvement for the potentially inappropriate medication dashboard (PIMD), one of many Geriatric Scholars clinical dashboards. We also present the evaluative performance of the PIMD.

methodsEvaluation of the PIMD was performed using the system usability scale (SUS) and through review of user interaction logs. Routine end users that were Geriatric Scholars and had evidence of 5 or more dashboard views were invited to complete an electronic form that contained the 10-item SUS.

resultsThe proportion of Geriatric Scholars that utilized the PIMD increased for each iterative dashboard version that was produced as a byproduct from feedback (31.0% in 2017 to 60.2% in 2019). The overall usability of the PIMD among routine users was found to be above average (SUS score: 75.2 [95% CI 70.5-79.8]) in comparison to the recommended standard of acceptability (SUS score: 68)

conclusionThe solicitation of feedback during dashboard orientations led to iterative adaptations of the PIMD that broadened its intended use. The presented PDSA-guided process to clinical dashboard development for the VA GSP can serve as a valuable framework for development teams seeking to produce well-adopted and usable health information technology (IT) innovations.

Indexed as

Quality ImprovementResearch ReportAgedFeedbackHumans

Identifiers

PMID36223868
PMCPMC9556171
OpenAlexW4306167886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.