Evidence map›Paper›PMID 40479588›Full record

ArticleJournal of medical Internet research2025

Developing Infrastructure to Realize the Value of Patient-Generated Health Data in a Large Integrated Health Care System: The Veterans Health Administration Experience.

Terry J Newton, Nilesh Shah, Katherine Lewis, Mark S Zocchi, Felicia R Bixler, Bella Etingen, Jessica M Lipschitz, Stephanie A Robinson, Timothy P Hogan, Stephanie L Shimada

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Terry J NewtonOffice of Connected Care, Veterans Health Administration, Washington, DC, United States.ORCID http://orcid.org/0009-0009-2859-8124
Nilesh ShahOffice of Connected Care, Veterans Health Administration, Washington, DC, United States.ORCID http://orcid.org/0009-0004-7921-3793
Katherine LewisOffice of Connected Care, Veterans Health Administration, Washington, DC, United States.ORCID http://orcid.org/0009-0007-7152-3473
Mark S ZocchieHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID http://orcid.org/0000-0001-9464-9561
Felicia R BixlereHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID http://orcid.org/0000-0001-9304-4085
Bella EtingeneHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID http://orcid.org/0000-0003-1325-9073
Jessica M LipschitzeHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID http://orcid.org/0000-0002-4085-0507
Stephanie A RobinsoneHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID http://orcid.org/0000-0002-1352-217X
Timothy P HoganeHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID http://orcid.org/0000-0002-6888-0927
Stephanie L ShimadaeHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID http://orcid.org/0000-0002-6517-5122

Funding

Toward optimizing digital mental health interventions: A clinical trial aimed at understanding what drives patient engagement.K23MH120324 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI LIPSCHITZ, JESSICA MORROW · 2020 to 2024
$960k
NIMH NIH HHS K23 MH120324
6 · The paper itself

Abstract

Unlabelled: Patient-generated health data (PGHD) encompass health-related information created, recorded, and gathered by patients in their daily lives, and are distinct from data collected in clinical settings. PGHD can offer insight into patients' everyday health behaviors and conditions, supporting health management and clinical decision-making. The Veterans Health Administration (VHA) has developed a robust infrastructure to collect PGHD, including automatically collected data from digital sensors and patient-entered data. This effort is guided by comprehensive policy and strategy documents to ensure the secure storage and effective use of PGHD. This paper describes the development and implementation of an infrastructure to support PGHD within the VHA and highlights envisioned clinical and research uses of PGHD to advance health care for US veterans. The PGHD database was built to Fast Healthcare Interoperability Resources standards, facilitating secure data storage and exchange of PGHD. Clinical tools, such as the provider-facing dashboards, make PGHD accessible from the electronic health records. Research and evaluation efforts focus on evaluating PGHD's impact on patient engagement, clinical outcomes, and health care equity. The VHA's comprehensive PGHD infrastructure represents a significant advancement in personalized health care and patient engagement. The integration of PGHD into clinical practice can enhance shared decision-making and self-management, while research and evaluation efforts can address how to maximize the benefits of PGHD for veterans. The VHA's approach sets a benchmark for other US health care systems in leveraging PGHD to achieve the broad aims of enhancing stakeholder health care experiences, improving population health and health equity, and reducing costs.

Indexed as

Delivery of Health Care, IntegratedPatient Generated Health DataUnited States Department of Veterans AffairsElectronic Health RecordsHumansUnited Statesclinical decision-makinghealth data interoperabilitymobile health appspatient-generated health dataVeterans Health Administration

Identifiers

PMID40479588
PMCPMC12165444

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.