Evidence map›Paper›PMID 39056425›Full record

ArticleHealth services research2025

National rollout of a medication safety dashboard to improve testing for latent infections among biologic and targeted synthetic disease-modifying agent users within the Veterans Health Administration.

Gabriela Schmajuk, Anna Ware, Jing Li, Gary Tarasovsky, Stephen Shiboski, Jennifer L Barton, Karla L Miller, Holly A Mitchell, Jo Dana, Kimberly Reiter and 4 more

Abstract read
In one paragraph

Article in Health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

14 authors.

Gabriela SchmajukDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-2687-5043
Anna WareDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-3333-7833
Jing LiDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-3298-2112
Gary TarasovskyDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0009-0000-9093-6299
Stephen ShiboskiDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-9257-2609
Jennifer L BartonDepartment of Medicine, VA Portland Health Care System, Portland, Oregon, USA.ORCID 0000-0002-6771-3465
Karla L MillerPrimary Care Service, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.ORCID 0000-0001-9247-8957
Holly A MitchellDepartment of Medicine, Ralph H Johnson VA Medical Center, Charleston, South Carolina, USA.ORCID 0009-0007-7549-7700
Jo DanaDepartment of Medicine, San Francisco VA Medical Center, San Francisco, California, USA.ORCID 0009-0008-1181-3978
Kimberly ReiterMedical Service, Raymond G. Murphy VA Medical Center, Albuquerque, New Mexico, USA.ORCID 0000-0001-8807-4095
Elizabeth WahlDepartment of Medicine, VA Puget Sound Healthcare System, Seattle, WA, USA.ORCID 0009-0004-4249-9492
Karine Rozenberg-Ben-DrorDepartment of Medicine, Great Lakes Region VA Health Care System, VISN 12 PBM, Chicago, Illinois, USA.ORCID 0000-0002-4056-0737
Ronald G HauserClinical Chemistry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.ORCID 0000-0002-7361-7162
Mary A WhooleyDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-5943-0078

Funding

Measurement Science QUERII50HX003266 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI COHEN, BETH, KALTENBACH, TONYA R · 2021 to 2021
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HSRD VA I50 HX003266
6 · The paper itself

Abstract

objectiveTo develop, deploy, and evaluate a national, electronic health record (EHR)-based dashboard to support safe prescribing of biologic and targeted synthetic disease-modifying agents (b/tsDMARDs) in the United States Veterans Affairs Healthcare System (VA). DATA SOURCES AND STUDY

settingWe extracted and displayed hepatitis B (HBV), hepatitis C (HCV), and tuberculosis (TB) screening data from the EHR for users of b/tsDMARDs using PowerBI (Microsoft) and deployed the dashboard to VA facilities across the United States in 2022; we observed facilities for 44 weeks post-deployment. STUDY

designWe examined the association between dashboard engagement by healthcare personnel and the percentage of patients with all screenings complete (HBV, HCV, and TB) at the facility level using an interrupted time series. Based on frequency of sessions, facilities were grouped into high- and low/none-engagement categories. We modeled changes in complete screening pre- and post-deployment of the dashboard. DATA COLLECTION

methodsAll VA facilities were eligible for inclusion; excluded facilities participated in design of the dashboard or had <20 patients receiving b/tsDMARDs. Session counts from facility personnel were captured using PowerBI audit log data. Outcomes were assessed weekly based on EHR data extracted via the dashboard itself. PRINCIPAL

findingsTotally 117 facilities (serving a total of 41,224 Veterans prescribed b/tsDMARDs) were included. Before dashboard deployment, across all facilities, 61.5% of patients had all screenings complete, which improved to 66.3% over the course of the study period. The largest improvement (15 percentage points, 60.3%-75.3%) occurred among facilities with high engagement (post-intervention difference in outcome between high and low/none-engagement groups was 0.17 percentage points (pp) per week, 95% confidence interval (0.04 pp, 0.30 pp); p = 0.01).

conclusionsWe observed significant improvements in screening for latent infections among facilities with high engagement with the dashboard, compared with those with fewer sessions.

Indexed as

Electronic Health RecordsLatent TuberculosisMass ScreeningFemaleHepatitis BHepatitis CHumansMaleUnited StatesUnited States Department of Veterans Affairsaudit and feedbackclinical informaticshealth information technologylatent infectionsmedication safety

Identifiers

PMID39056425
PMCPMC11782092

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.