Evidence map›Paper›PMID 36583935›Full record

ArticleJMIR mHealth and uHealth2022

Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey.

Timothy P Hogan, Bella Etingen, Jessica M Lipschitz, Stephanie L Shimada, Nicholas McMahon, Derek Bolivar, Felicia R Bixler, Dawn Irvin, Rachel Wacks, Sarah Cutrona and 2 more

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Implementation of Direct-to-Patient Mobile Teledermatology in VA.Journal of general internal medicine · 2024
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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

12 authors at 7 institutions in 1 country.

Timothy P HoganeHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0002-6888-0927
Bella EtingeneHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0003-1325-9073
Jessica M LipschitzDepartment of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-4085-0507
Stephanie L ShimadaeHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0002-6517-5122
Nicholas McMahoneHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0002-9322-0883
Derek BolivareHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0002-2947-0204
Felicia R BixlereHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0001-9304-4085
Dawn IrvineHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0001-8578-4868
Rachel WackseHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0003-0577-7663
Sarah CutronaeHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0002-4795-8377
Kathleen L FrisbeeeHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0002-0194-4009
Bridget M SmitheHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.ORCID 0000-0002-3301-8843
VA New England Healthcare System · USEdward Hines, Jr. VA Hospital · USBoston University · USBrigham and Women's Hospital · USNorthwestern University · USUnited States Department of Veterans Affairs · USUniversity of Massachusetts Chan Medical School · US

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

backgroundDespite their prevalence and reported patient interest in their use, uptake of health-related apps is limited. The Veterans Health Administration (VHA) has developed a variety of apps to support veterans; however, uptake remains low nationally.

objectiveWe examined the prevalence of VHA health-related app use and how veterans learned about these apps in order to identify factors associated with their use.

methodsAs part of a VHA quality improvement initiative, we recruited a national cohort of veterans to obtain feedback on their use of technology for health and collected data from them via a cross-sectional survey. The survey data were supplemented with VHA administrative data. We used descriptive statistics to examine demographic and health characteristics, health-related technology use, and how veterans learned about apps. We assessed factors associated with app use using bivariate analyses and multiple logistic regression models.

resultsWe had complete data on 1259 veterans. A majority of the sample was male (1069/1259, 84.9%), aged older than 65 years (740/1259, 58.8%), White (1086/1259, 86.3%), and non-Hispanic (1218/1259, 96.7%). Most respondents (1125/1259, 89.4%) reported being very comfortable and confident using computers, over half (675/1259, 53.6%) reported being an early adopter of technology, and almost half (595/1259, 47.3%) reported having used a VHA health-related app. Just over one-third (435/1259, 34.6%) reported that their VHA care team members encouraged them to use health-related apps. Respondents reported learning about available VHA health-related apps by reading about them on the VHA's patient portal (468/1259, 37.2%), being told about them by their VHA health care team (316/1259, 25.1%), and reading about them on the VHA's website (139/1259, 11%). Veterans who self-reported having used VHA health-related apps were more likely to receive care at the VHA (OR [odds ratio] 1.3, 95% CI 1.0-1.7), be in worse health (as assessed by Hierarchical Condition Community score; OR 1.1, 95% CI 1.0-1.2), report owning a desktop or laptop computer (OR 1.8, 95% CI 1.1-3.1), have posttraumatic stress disorder (OR 1.4, 95% CI 1.1-1.9), and report having VHA health care team members encourage them to use the apps (OR 2.7, 95% CI 2.1-3.4).

conclusionsWe found strong associations between self-reported use by veterans of VHA health-related apps and multiple variables in our survey. The strongest association was observed between a veteran self-reporting app use and having received encouragement from their VHA health care team to use the apps. Veterans who reported receiving encouragement from their VHA care team members had nearly 3 times higher odds of using VHA apps than veterans who did not report receiving such encouragement. Our results add to growing evidence suggesting that endorsement of apps by a health care system or health care team can positively impact patient uptake and use.

Indexed as

Mobile ApplicationsTelemedicineVeteransAgedCross-Sectional StudiesHumansMaleSelf Reportconsumer health informaticsmobile health appspatient engagementprovider encouragementveterans

Identifiers

PMID36583935
PMCPMC9840102
OpenAlexW4313377898

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.