Evidence map›Paper›PMID 39414734›Full record

ArticleJournal of general internal medicine2025

Veteran Preferences and Willingness to Share Patient-Generated Health Data.

Timothy P Hogan, Bella Etingen, Mark S Zocchi, Felicia R Bixler, Nicholas McMahon, Jamie Patrianakos, Stephanie A Robinson, Terry Newton, Nilesh Shah, Kathleen L Frisbee and 3 more

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2025. 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

13 authors.

Timothy P HoganeHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA. Timothy.Hogan@va.gov.ORCID 0000-0002-6888-0927
Bella EtingeneHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Mark S ZocchieHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Felicia R BixlereHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Nicholas McMahoneHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Jamie PatrianakoseHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Stephanie A RobinsoneHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Terry NewtonOffice of Connected Care, Veterans Health Administration, Washington, DC, USA.
Nilesh ShahOffice of Connected Care, Veterans Health Administration, Washington, DC, USA.
Kathleen L FrisbeeOffice of Connected Care, Veterans Health Administration, Washington, DC, USA.
Stephanie L ShimadaeHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Jessica M LipschitzeHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.
Bridget M SmitheHealth Partnered Evaluation Initiative, VA Bedford Healthcare System, Bedford, MA, USA.

Funding

US Department of Veterans Affairs, Office of Connected Care, and Office of Research and Development, Health Services Research and Development Service, Quality Enhancement Research Initiative Program PEC 15-470
6 · The paper itself

Abstract

backgroundTechnologies, including mobile health applications (apps) and wearables, offer new potential for gathering patient-generated health data (PGHD) from patients; however, little is known about patient preferences for and willingness to collect and share PGHD with their providers and healthcare systems.

objectiveDescribe how patients use their PGHD and factors important to patients when deciding whether to share PGHD with a healthcare system.

designCross-sectional mailed longitudinal survey supplemented with administrative data within the Veterans Health Administration (VHA). SUBJECTS: National sample of Veterans who use VHA healthcare. MAIN MEASURES: Survey questions asked about demographics, willingness to use different devices to collect and share PGHD, what Veterans do with their PGHD, and factors important to Veterans when deciding whether to share PGHD with VHA. Administrative data provided information on Veteran health conditions. Multiple logistic regression models assessed factors associated with sharing PGHD with VHA. KEY

resultsOverall, 47% of our analytic cohort (n = 383/807) indicated that they share PGHD collected through apps or digital health devices with VHA. In adjusted logistic regression models, Veterans who believed the following factors were Very Important (versus Somewhat/Not At All Important) had higher odds of sharing PGHD with VHA: if their doctor (OR = 1.4; 95%CI, 1.0-2.0) or other healthcare team members (OR = 1.4; 95%CI, 1.0-1.9) recommended they do so; and knowing that their healthcare team would look at the data (OR = 1.4; 95%CI, 1.0-2.0) or use the information to inform their healthcare (OR = 1.5; 95%CI, 1.1-2.1).

conclusionsOur data suggest that healthcare team members can influence patient sharing of PGHD, as can a patient's knowledge that PGHD will be used in clinical practice. Efforts to increase the number of patients who share PGHD with a healthcare system may benefit from buy-in among healthcare team members, who appear to play an influential role in patient decisions to share data.

Indexed as

Information DisseminationPatient Generated Health DataPatient PreferenceVeteransAdultAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedSurveys and QuestionnairesUnited StatesUnited States Department of Veterans Affairsmobile appspatient-generated health dataVeterans, Veterans Health Administrationvirtual carewearables

Identifiers

PMID39414734
PMCPMC11968606

What Socratic holds

Textmetadata
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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 Socratic graph.