Evidence map›Paper›PMID 41973878›Full record

ArticleJournal of medical Internet research2026

Embracing Co-Design and Interprofessional Teamwork to Build an Innovative Dashboard for a National Social Needs Screening and Referral Clinical Intervention in the Veterans Health Administration: Design and Development Study.

Lauren E Russell, Sarah M Leder, Jaime Boris, Alicia J Cohen, Christopher W Halladay, Kathleen M Mitchell, Sydney C Ruggles, Andrea Berkheimer, Chava Sonnier, Michelle C Wilcox and 2 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Lauren E Russell *Office of Health Equity, Veterans Health Administration, United States Department of Veterans Affairs, 810 Vermont Ave NW, Washington, DC, 20420, United States, 1 2028094182.ORCID http://orcid.org/0000-0001-8703-9271
Sarah M Leder *Office of Health Equity, Veterans Health Administration, United States Department of Veterans Affairs, 810 Vermont Ave NW, Washington, DC, 20420, United States, 1 2028094182.ORCID http://orcid.org/0000-0003-4256-3963
Jaime BorisOffice of Health Equity, Veterans Health Administration, United States Department of Veterans Affairs, 810 Vermont Ave NW, Washington, DC, 20420, United States, 1 2028094182.ORCID http://orcid.org/0009-0001-9757-3125
Alicia J CohenCenter of Innovation in Transformative Health Systems Research to Improve Veteran Equity and Independence, Veterans Health Administration, United States Department of Veterans Affairs, Providence, RI, United States.ORCID http://orcid.org/0000-0003-3859-6164
Christopher W HalladayCenter of Innovation in Transformative Health Systems Research to Improve Veteran Equity and Independence, Veterans Health Administration, United States Department of Veterans Affairs, Providence, RI, United States.ORCID http://orcid.org/0000-0002-2890-9107
Kathleen M MitchellNew England Geriatric Research, Education, and Clinical Center, VA Bedford Healthcare System, United States Department of Veterans Affairs, Bedford, MA, United States.ORCID http://orcid.org/0009-0008-2271-2849
Sydney C RugglesNew England Geriatric Research, Education, and Clinical Center, VA Bedford Healthcare System, United States Department of Veterans Affairs, Bedford, MA, United States.ORCID http://orcid.org/0000-0002-8276-5079
Andrea BerkheimerSocial Work Services, James E. Van Zandt Veterans Affairs Medical Center, United States Department of Veterans Affairs, Altoona, PA, United States.ORCID http://orcid.org/0009-0003-3824-0819
Chava SonnierOffice of Health Equity, Veterans Health Administration, United States Department of Veterans Affairs, 810 Vermont Ave NW, Washington, DC, 20420, United States, 1 2028094182.ORCID http://orcid.org/0009-0008-3922-3590
Michelle C WilcoxMental Health Services, George E. Wahlen Veterans Affairs Medical Center, United States Department of Veterans Affairs, Salt Lake City, UT, United States.ORCID http://orcid.org/0000-0001-5827-4627
Ernest MoyOffice of Health Equity, Veterans Health Administration, United States Department of Veterans Affairs, 810 Vermont Ave NW, Washington, DC, 20420, United States, 1 2028094182.ORCID http://orcid.org/0000-0002-0681-6866
Meaghan A KennedyNew England Geriatric Research, Education, and Clinical Center, VA Bedford Healthcare System, United States Department of Veterans Affairs, Bedford, MA, United States.ORCID http://orcid.org/0000-0001-5390-4888

Funding

HSRD VA IK2 HX003013
6 · The paper itself

Abstract

Background: Assessing Circumstances and Offering Resources for Needs (ACORN) is a US Department of Veterans Affairs (VA) clinical intervention designed to identify and address social needs to improve health and well-being among all veterans. We co-designed the ACORN Dashboard to facilitate access to real-time social needs and intervention data for VA clinical care teams and leadership. Objective: This study aimed to (1) describe the iterative development of the ACORN Dashboard, (2) assess end user feedback and Dashboard usage, and (3) discuss the role of social needs dashboards in facilitating continuous quality improvement in health care settings. Methods: An interprofessional team of subject-matter experts and end user feedback contributed to the design. Phase 1 included more than 7 months of weekly working meetings. We initially constructed a wireframe in Microsoft PowerPoint, then translated it into a prototype in Power BI, a data visualization software. Using Microsoft Power BI, we built data visualizations to communicate population-level sociodemographic and ACORN screening data. Through feedback sessions, staff from 8 VA medical centers (VAMCs) reviewed the prototype and recommended improvements regarding the Dashboard's purpose, content, and usability. Phase 2 involved 6 weeks of weekly working meetings, where we developed and iteratively refined 5 written drafts of clinically relevant variables for potential inclusion in the Patient-Level Data Page. This list informed a Power BI prototype. We also developed the ACORN Implementation Map page in Power BI to display implementation locations and settings. We again used feedback sessions with 8 VAMCs to review and refine the newly added pages and discuss improvements. To assess usage, we obtained metadata from a VA-specific Power BI report and user experience data from an ACORN VAMC survey. Results: The ACORN Dashboard displays national data that are updated daily, reflecting 83,546 screens administered across 82 VAMCs facilities between July 1, 2021, and April 30, 2025. The Dashboard was viewed 18,192 times by 2251 unique users, and, on average, 263 (SD 91.2) unique users viewed the Dashboard every month between October 1, 2023, and April 30, 2025. Dashboard variables include the number of screens completed, sociodemographic characteristics of veterans screened, prevalence of social needs, and interventions provided to address needs. Phase 1 semistructured feedback sessions included recommendations for a page with patient-level data to supplement the population-level pages, incorporation of additional filters to select specific data, and development of a user guide. In phase 2, key insights included enhancement of end users' ability to search by veteran or staff name, guidance about screening frequency, changing the display order of variables, and the inclusion of variable definitions. Conclusions: Using co-design to develop, maintain, and continually refine data dashboards enhances implementation of social screening and interventions in health care settings. In addition to supporting individual-level patient care, population-level dashboard data inform continuous quality improvement, promote health equity, and identify gaps in services to address identified needs.

Indexed as

Interprofessional RelationsPatient Care TeamReferral and ConsultationUnited States Department of Veterans AffairsDashboard SystemsHumansUnited Statesdata dashboardsocial determinantssocial determinants of healthsocial needsveterans

Identifiers

PMID41973878
PMCPMC13075635

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.