Perceptions of an AI-Supported Mobile App for Military Health in the Canadian Armed Forces
Abstract
Recent developments in technology have expanded its reach and application, particularly when it comes to supporting mental health and well-being. The emergence and popularity of mental health mobile applications have created opportunities to reach those who face challenges with accessing traditional face-to-face supports such as members of the military community. Despite the increasing availability of technology-based mental health supports, perceptions toward this resource is unknown, particularly when it comes to technology that utilizes artificial intelligence (AI). Therefore, the purpose of this study was to evaluate the perceptions of the use of an AI-supported mental health app by the Canadian military community. This qualitative study used a combination of in-depth, semi-structured individual interviews, focus groups, and survey free-text responses. A total of 44 individuals participated in this study including military family members, veterans, health care providers working with veterans, and staff working with military families. The results have been presented in this paper as potential benefits and potential drawbacks of using an AI-supported mental health application. This information may have an important contribution to our growing understanding of how AI-supported technology is perceived through the unique experiences and lens of the military community. Understanding the various perceptions of technology will help inform the direction of expanding mental health services for a population who may be faced with geographic isolation or stigma that affect accessing mental health services. Further research is required to understand how AI-supported mental health applications can be best used with the military community.
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The lack of evaluation of some apps is partially due to the large creation and turnover of mHealth apps available for download and currently limited regulations guiding their development.
“This is partially a result of the large creation and turnover of mHealth apps available for download as well as the currently limited regulations guiding their development [7,12,30].”
Cites
Three Approaches to Qualitative Content Analysis
Hsieh, H.-F., & Shannon, S. E. (2005) · Qualitative Health Research · doi:10.1177/1049732305276687 · Cited by 44,601 · see citing works
Interviews – Learning the Craft of Qualitative Research Interviewing
Vaivio, J. (2012) · European Accounting Review · doi:10.1080/09638180.2012.675165 · Cited by 4,545 · see citing works
Content validity in psychological assessment: A functional approach to concepts and methods.
Haynes, S. N., Richard, D. C. S., & Kubany, E. S. (1995) · Psychological Assessment · doi:10.1037//1040-3590.7.3.238 · Cited by 2,387 · cited 1× · see citing works
“The use of multiple methods of qualitative data collection can offset potential shortcoming of other methods (Haynes et al., 1995).”
MethodThe SAGE Handbook of Qualitative Methods in Health Research
Bourgeault, I. L., Dingwall, R. W. J., & Vries, R. G. D. (2010) · SAGE Publications Ltd eBooks · doi:10.4135/9781446268247 · Cited by 345 · see citing works
Sareen, J., Cox, B. J., Afifi, T. O., Stein, M. B., Belik, S.-L., Meadows, G., & Asmundson, G. J. G. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.7.843 · Cited by 319 · see citing works
Bush, N. E., Dobscha, S. K., Crumpton, R. M., Denneson, L. M., Hoffman, J. E., Crain, A., Cromer, R. D., & Kinn, J. T. (2014) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12103 · Cited by 108 · see citing works
Tanielian, T., Farris, C. A., Batka, C., Farmer, C. M., Robinson, E., Engel, C. C., Robbins, M. D. H., & Jaycox, L. H. (2014) · RAND Corporation eBooks · doi:10.7249/rr806 · Cited by 105 · see citing works
Erbes, C. R., Stinson, R. D., Kuhn, E. R., Polusny, M. A., Urban, J., Hoffman, J. E., Ruzek, J. I., Stepnowsky, C. J., & Thorp, S. R. (2014) · Military Medicine · doi:10.7205/milmed-d-14-00014 · Cited by 100 · see citing works
Theory Matters in Qualitative Health Research
Giacomini, M. K. (2010) · SAGE Publications Ltd eBooks · doi:10.4135/9781446268247.n8 · Cited by 96 · see citing works
Global Burden of Disease Study trends for Canada from 1990 to 2016
Lang, J. J., Alam, S., Cahill, L. E., Drucker, A. M., Gotay, C. C., Kayibanda, J. F., Kozloff, N., Mate, K., Patten, S. B., & Orpana, H. (2018) · Canadian Medical Association Journal · doi:10.1503/cmaj.180698 · Cited by 78 · see citing works
Babson, K. A., Ramo, D. E., Baldini, L., Vandrey, R. G., & Bonn‐Miller, M. O. (2015) · JMIR Research Protocols · doi:10.2196/resprot.3852 · Cited by 77 · see citing works
The Importance of Military Cultural Competence
Meyer, E. G., Writer, B. W., & Brim, W. L. (2016) · Current Psychiatry Reports · doi:10.1007/s11920-016-0662-9 · Cited by 76 · see citing works
Mobile app self-care versus in-office care for stress reduction: a cost minimization analysis
Luxton, D. D., Hansen, R. N., & Stanfill, K. E. (2014) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x14555616 · Cited by 53 · see citing works
Making military families in Canada a research priority
Cramm, H. A., Norris, D., Tam‐Seto, L., Eichler, M., & Smith‐Evans, K. (2015) · Journal of Military Veteran and Family Health · doi:10.3138/jmvfh.3287 · Cited by 41 · see citing works
Self-citationUtility of the T2 Mood Tracker Mobile Application Among Army Warrior Transition Unit Service Members
Bush, N. E., Ouellette, G., & Kinn, J. (2014) · Military Medicine · doi:10.7205/milmed-d-14-00271 · Cited by 39 · see citing works
Using a Mobile Application in the Treatment of Dysregulated Anger Among Veterans
Mackintosh, M.-A., Niehaus, J., Taft, C. T., Marx, B. P., Grubbs, K., & Morland, L. A. (2017) · Military Medicine · doi:10.7205/milmed-d-17-00063 · Cited by 35 · see citing works
The Impact of Deployment on Children From Canadian Military Families
Skomorovsky, A., & Bullock, A. (2016) · Armed Forces & Society · doi:10.1177/0095327x16670691 · Cited by 33 · see citing works
Tam‐Seto, L., Krupa, T. M., Stuart, H. L., Aiken, A. B., Lingley‐Pottie, P., & Cramm, H. A. (2018) · Journal of Military Veteran and Family Health · doi:10.3138/jmvfh.2017-0030 · Cited by 29 · see citing works
Self-citationProviding Care to Military Personnel and Their Families
Gleeson, T. D., & Hemmer, P. A. (2014) · Academic Medicine · doi:10.1097/acm.0000000000000368 · Cited by 28 · see citing works
Weeks, M., Zamorski, M. A., Rusu, C., & Colman, I. (2017) · Psychiatric Services · doi:10.1176/appi.ps.201600398 · Cited by 27 · see citing works
Butler, L. D., Linn, B. K., Meeker, M. A., McClain-Meeder, K., & Nochajski, T. H. (2015) · Military Behavioral Health · doi:10.1080/21635781.2015.1009209 · Cited by 25 · see citing works
The Importance of Developing Military Cultural Competence
Convoy, S. P., & Westphal, R. J. (2013) · Journal of Emergency Nursing · doi:10.1016/j.jen.2013.08.010 · Cited by 25 · see citing works
Mahar, A. L., Aiken, A. B., Cramm, H. A., Whitehead, M., Groome, P. A., & Kurdyak, P. A. (2017) · The Canadian Journal of Psychiatry · doi:10.1177/0706743717730826 · Cited by 23 · see citing works
A new resource to study the health of military families in Ontario
Mahar, A. L., Aiken, A. B., Cramm, H. A., Groome, P. A., & Kurdyak, P. A. (2015) · Journal of Military Veteran and Family Health · doi:10.3138/jmvfh.1.2.002 · Cited by 13 · see citing works
Use of the Assessment–Diagnosis–Treatment–Outcomes Model to Improve Patient Care
Spratt, K. F. (2013) · Military Medicine · doi:10.7205/milmed-d-13-00257 · Cited by 11 · see citing works
Placement of Combat Stress Teams in Afghanistan: Reducing Barriers to Care
Jones, D. E., Jones, F. R., Suttinger, L., Toler, A., Hammond, P. A., & Medina, S. (2013) · Military Medicine · doi:10.7205/milmed-d-12-00163 · Cited by 10 · see citing works
Caring for Military Children in the Emergency Department: The Essentials
Ling, C. G., & Johnson, H. L. (2013) · Journal of Emergency Nursing · doi:10.1016/j.jen.2013.08.008 · Cited by 9 · see citing works
Developing Military Cultural Competency in Health Care Providers
Meyer, E. (2011) · Academic Medicine · doi:10.1097/acm.0b013e31823a948c · Cited by 6 · see citing works
Working with veterans and military families: An assessment of professional competencies.
Leppma, M., Taylor, J. M., Spero, R. A., Leonard, J. M., Foster, M. N., & Daniels, J. A. (2016) · Professional Psychology Research and Practice · doi:10.1037/pro0000059 · Cited by 5 · see citing works
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Cited by
Sorted by citations
Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review
Chew, H. S. J., & Achananuparp, P. (2022) · Journal of Medical Internet Research · doi:10.2196/32939 · Cited by 243 · see citing works
Voth, M., Chisholm, S., Sollid, H., Jones, C., Smith-MacDonald, L., & Brémault-Phillips, S. (2022) · JMIR mHealth and uHealth · doi:10.2196/26453 · Cited by 35 · see citing works
“…with other app evaluation tools, such as the Mobile App Rating Scale, may allow for a more in-depth understanding of mHealth apps; however, for the MMs and PSP populations, the ARIA’s additional security and privacy questions provide a clearer understanding of population-specific concerns [7,44].”
Fazakarley, C.-A., Breen, M. A., Thompson, B. T., Leeson, P., & Williamson, V. (2024) · Digital Health · doi:10.1177/20552076241230075 · Cited by 29 · see citing works
Anugerah, G. B., & Hidayanto, A. N. (2023) · International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA) · doi:10.1109/icicyta60173.2023.10428744 · Cited by 4 · see citing works
Evaluating Canada's Position in AI Adoption for eHealth System
Kimiagari, S. (2025) · International Journal of Knowledge Management · doi:10.4018/ijkm.384590 · Cited by 2 · see citing works
PORTABLE BIOMETRIC MODULE SOFTWARE FOR MILITARY AVIATION SUPPORT SYSTEM
Zieja, M., Kawka, K., Wojtowicz, K., WETOSZKA, A., & Pietrzak, T. (2023) · Aviation and Security Issues · doi:10.55676/asi.v4i2.70 · Cited by 2 · see citing works
Zhao, Q., Wen, S., & Yu, W. (2026) · Australian Journal of Psychology · doi:10.1080/00049530.2026.2710168 · Cited by 1 · see citing works
Menon, V. A. (2025) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-3112-5.ch004 · Cited by 1 · see citing works
Alzahrani, A., Gay, V. C., Alturki, R., & Alanazi, F. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-79086-7_5
Richardson, M., Black, T., de Wit, K., Bain, B., Trolley, E., & Cramm, H. A. (2026) · Journal of Military Veteran and Family Health · doi:10.3138/jmvfh-2025-0080
Impacts of AI systems on occupational health and well-being: a mixed methods systematic review
Teles, J. P., & Monteiro, S. (2026) · Behaviour & Information Technology · doi:10.1080/0144929x.2026.2716291
- Authors
- Tam-Seto, L., Wood, V. M., Linden, B., & Stuart, H.
- Affiliations
- Centre for International and Defence Policy, Queen’s University
- Queen's University (CA)
- Venue
- Military Behavioral Health
- Publisher
- Informa UK Limited
- Published
- 2020-11-13
- Volume
- 9
- Issue
- 3
- Pages
- 247-254
- ISSN
- 2163-5781 (ISSN-L)
- 2163-5803
- OpenAlex
- W3104694101
- Cited by
- 11
- References
- 29
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 1
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Military Behavioral Health (publishedVersion)
- Funders
- IBM Canada
- Canadian Institute for Military and Veteran Health Research
- Mitacs
- Southern Ontario Smart Computing Innovation Platform
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- artificial intelligence, military mental health, Canadian Armed Forces, user perception, veterans, military families, access to mental health care, stigma, geographic isolation, technology acceptance
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