Evidence map›Paper›PMID 42421788›Full record

ArticleJAMIA open2026

User-centered design of a patient-generated health data mobile application for primary care visits for older adults with chronic pain.

Bryan Gibson, L Weaver, Usman Sattar, Alan Taylor Kelley, Joshua Judd, Sara J Knight, Adam J Gordon, Randall Rupper, Jorie M Butler

Abstract read
In one paragraph

Article in JAMIA open, 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

9 authors.

Bryan GibsonDepartment of Biomedical Informatics, University of Utah, 421 wakara way, Salt Lake City, UT, 84108, United States.
L WeaverDepartment of Biomedical Informatics, University of Utah, 421 wakara way, Salt Lake City, UT, 84108, United States.
Usman SattarDepartment of Biomedical Informatics, University of Utah, 421 wakara way, Salt Lake City, UT, 84108, United States.
Alan Taylor KelleyInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, 84132, United States.
Joshua JuddInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, 84132, United States.
Sara J KnightInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, 84132, United States.
Adam J GordonInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, 84132, United States.
Randall RupperGeriatric Research and Clinical Center, VA Salt Lake City Health Care System, 500 Foothill Dr., Salt Lake City, UT, 84148, United States.
Jorie M ButlerDepartment of Biomedical Informatics, University of Utah, 421 wakara way, Salt Lake City, UT, 84108, United States.ORCID https://orcid.org/0000-0003-4519-7997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To design the provider-facing side of an application that collects and displays contextual patient-generated health data (PGHD) as a means of facilitating patient-centered care for older adults with chronic pain in the Veterans Health Administration (VHA). Materials and Methods: We conducted one-on-one user-centered design (UCD) sessions with VHA clinicians who care for veterans age 65 years and older with chronic pain. We elicited information about clinical practices, barriers and facilitators to working with patients with chronic pain, and types of patient information that could provide utility in the delivery of care. We displayed a wireframe prototype of the PGHD application to elicit feedback and preferences about information to collect, desired functionality, visual design, and possible workflows. Results: From 21 UCD sessions with clinicians, we identified 3 overarching themes: (1) specific contextual information could facilitate patient-centered care for older adults with chronic pain (information needs); (2) clinicians have specific desired uses for PGHD (functional requirements); and (3) clinicians have specific beliefs about how PGHD can and should be integrated into clinical practice (implementation strategies). Discussion: PGHD integration in clinical care for older adults with chronic pain was perceived favorably among VHA clinicians, with specific utility for this technology anticipated. The ways in which PGHD is accessed, integrated, and shared were perceived as critically important to its future implementation and potential for improving patient-centered care. Conclusion: Display of contextual PGHD from older adults with chronic pain is promising to VHA clinicians, but barriers to implementation in clinical practice need to be addressed.

Indexed as

chronic painpatient engagementpatient-generated health data

Identifiers

PMID42421788
PMCPMC13342708

What Socratic 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 Socratic graph.