Show simple item record

dc.contributor.authorHogan, Timothy P
dc.contributor.authorEtingen, Bella
dc.contributor.authorLipschitz, Jessica M
dc.contributor.authorShimada, Stephanie L
dc.contributor.authorMcMahon, Nicholas
dc.contributor.authorBolivar, Derek
dc.contributor.authorBixler, Felicia R
dc.contributor.authorIrvin, Dawn
dc.contributor.authorWacks, Rachel
dc.contributor.authorCutrona, Sarah L
dc.contributor.authorFrisbee, Kathleen L
dc.contributor.authorSmith, Bridget M
dc.date.accessioned2024-04-26T19:52:51Z
dc.date.available2024-04-26T19:52:51Z
dc.date.issued2022-12-30
dc.identifier.citationHogan TP, Etingen B, Lipschitz JM, Shimada SL, McMahon N, Bolivar D, Bixler FR, Irvin D, Wacks R, Cutrona S, Frisbee KL, Smith BM. Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey. JMIR Mhealth Uhealth. 2022 Dec 30;10(12):e41767. doi: 10.2196/41767. PMID: 36583935; PMCID: PMC9840102.en_US
dc.identifier.eissn2291-5222
dc.identifier.doi10.2196/41767en_US
dc.identifier.pmid36583935
dc.identifier.urihttp://hdl.handle.net/20.500.14038/53307
dc.description.abstractBackground: Despite 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. Objective: We 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. Methods: As 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. Results: We 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). Conclusions: We 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.en_US
dc.language.isoenen_US
dc.relation.ispartofJMIR mHealth and uHealthen_US
dc.relation.urlhttps://doi.org/10.2196/41767en_US
dc.rights©Timothy P Hogan, Bella Etingen, Jessica M Lipschitz, Stephanie L Shimada, Nicholas McMahon, Derek Bolivar, Felicia R Bixler, Dawn Irvin, Rachel Wacks, Sarah Cutrona, Kathleen L Frisbee, Bridget M Smith. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 30.12.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectconsumer health informaticsen_US
dc.subjectmobile health appsen_US
dc.subjectpatient engagementen_US
dc.subjectprovider encouragementen_US
dc.subjectveteransen_US
dc.titleFactors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Surveyen_US
dc.typeJournal Articleen_US
dc.source.journaltitleJMIR mHealth and uHealth
dc.source.volume10
dc.source.issue12
dc.source.beginpagee41767
dc.source.endpage
dc.source.countryUnited States
dc.source.countryCanada
dc.identifier.journalJMIR mHealth and uHealth
refterms.dateFOA2024-04-26T19:52:53Z
dc.contributor.departmentPopulation and Quantitative Health Sciencesen_US


Files in this item

Thumbnail
Name:
document.pdf
Size:
144.3Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

©Timothy P Hogan, Bella Etingen, Jessica M Lipschitz, Stephanie L Shimada, Nicholas McMahon, Derek Bolivar, Felicia R
Bixler, Dawn Irvin, Rachel Wacks, Sarah Cutrona, Kathleen L Frisbee, Bridget M Smith. Originally published in JMIR mHealth
and uHealth (https://mhealth.jmir.org), 30.12.2022. This is an open-access article distributed under the terms of the Creative
Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The
complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and
license information must be included.
Except where otherwise noted, this item's license is described as ©Timothy P Hogan, Bella Etingen, Jessica M Lipschitz, Stephanie L Shimada, Nicholas McMahon, Derek Bolivar, Felicia R Bixler, Dawn Irvin, Rachel Wacks, Sarah Cutrona, Kathleen L Frisbee, Bridget M Smith. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 30.12.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.