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

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

Background: 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.

Source

Hogan 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.

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10.2196/41767
PubMed ID
36583935
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©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.Attribution 4.0 International