Utility of the T2 Mood Tracker Mobile Application Among Army Warrior Transition Unit Service Members
Abstract
Many military personnel returning from deployment experience increases in psychological symptoms, including post-traumatic stress disorder (PTSD), depression, and mood changes. Patient health diaries are commonly used for self-reporting over time away from the clinic. "T2 Mood Tracker" is an application ("app") for smartphones and other mobile devices that enables users to rate their moods, to self-monitor across time, and to report their emotional experiences to health providers. We designed T2 Mood Tracker to track symptoms associated with deployment-related behavioral health issues, including PTSD, Head Injury, Stress, Depression, Anxiety, and General Well-Being. We field-tested T2 Mood Tracker with a small sample of redeployed soldiers under treatment for behavioral health issues at a Warrior Transition Unit. Participants used the app an average of 10 different days over the 2- to 3-week test period. Consensus was that T2 Mood Tracker was easy to use, useful and beneficial. The majority said they would use the app in the future, would recommend it to other service members, and would use the app to share their mood information with a provider. Warrior Transition Unit providers were enthusiastic about the potential of T2 Mood Tracker as a tool for use with their patients.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
Diagnostic and Statistical Manual of Mental Disorders.
Widiger, T. A. (2000) · Oxford University Press eBooks · doi:10.1037/10518-009 · Cited by 19,767 · see citing works
Thomas, J. L., Wilk, J. E., Riviere, L. A., McGurk, D., Castro, C. A., & Hoge, C. W. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.54 · Cited by 935 · see citing works
Journal of Psychopathology and Behavioral Assessment
(2013) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/10862.1573-3505 · Cited by 376 · see citing works
Feldman, S. I., Downey, G., & Schaffer-Neitz, R. (1999) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.67.5.776 · Cited by 224 · see citing works
Reliability and validity of a daily diary for premenstrual syndrome
Freeman, E. W., DeRubeis, R. J., & Rickels, K. (1996) · Psychiatry Research · doi:10.1016/s0165-1781(96)02929-0 · Cited by 177 · see citing works
Feldman, S. I., Downey, G., & Schaffer-Neitz, R. (1999) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.67.5.776 · Cited by 165 · see citing works
Adverse health consequences of the Iraq War
Levy, B. S., & Sidel, V. W. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60254-8 · Cited by 93 · see citing works
Creamer, M. C., Wade, D., Fletcher, S. L., & Forbes, D. (2011) · International Review of Psychiatry · doi:10.3109/09540261.2011.559456 · Cited by 76 · see citing works
Self-monitoring of mood versus activity by depressed clients.
Harmon, T. M., Nelson, R. O., & Hayes, S. C. (1980) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.48.1.30 · Cited by 75 · see citing works
Self-monitoring of mood versus activity by depressed clients.
Harmon, T. M., Nelson, R. O., & Hayes, S. C. (1980) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.48.1.30 · Cited by 53 · see citing works
Self-monitoring of behaviour as a risk reduction strategy for persons living with HIV
Lightfoot, M. A., Rotheram–Borus, M. J., Comulada, S., Gundersen, G., & Reddy, V. (2007) · AIDS Care · doi:10.1080/09540120600971117 · Cited by 29 · see citing works
Assessment of Panic Frequency: Reliability and Validity of a Time-Line Follow-Back Method
Nelson, W. A., & Clum, G. A. (2002) · Journal of Psychopathology and Behavioral Assessment · doi:10.1023/a:1014053224844 · Cited by 26 · see citing works
Problem drinkers in acute care settings: validation of an assessment instrument
Watson, H. E. (1999) · International Journal of Nursing Studies · doi:10.1016/s0020-7489(99)00029-2 · Cited by 25 · see citing works
Fluoxetine treatment in patients with recurrent brief depression
Stamenkovic, M., Blasbichler, T., Riederer, F., Pezawas, L., tter, N. B., Aschauer, H. N., & Kasper, S. F. (2001) · International Clinical Psychopharmacology · doi:10.1097/00004850-200107000-00006 · Cited by 22 · see citing works
Using Mobile Health Technology to Enhance Patient-Centered Care
Barton, A. J. (2010) · Clinical Nurse Specialist · doi:10.1097/nur.0b013e3181ecda6a · Cited by 11 · see citing works
The role of occupational therapy in warrior Transition Units.
Erickson, M. W. (2010) · PubMed · Cited by 3 · see citing works
Ensuring excellence: the Warrior Transition Unit staff training program.
Emerich, S. A. (2010) · PubMed · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression
Huguet, A., Rao, S., McGrath, P. J., Wozney, L., Wheaton, M., Conrod, J., & Rozario, S. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154248 · Cited by 328 · see citing works
Wang, K., Varma, D. S., & Prosperi, M. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.10.006 · Cited by 308 · see citing works
Lau, N., O'Daffer, A., Colt, S., Yi-Frazier, J. P., Palermo, T. M., McCauley, E., & Rosenberg, A. R. (2020) · JMIR mhealth and uhealth · doi:10.2196/17798 · Cited by 174 · see citing works
Baumel, A., Edan, S., & Kane, J. M. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz147 · Cited by 143 · see citing works
Dao, K. P., Cocker, K. A. D., Tong, H. L., Kocaballi, A. B., Chow, C. K., & Laranjo, L. (2021) · JMIR mhealth and uhealth · doi:10.2196/22890 · Cited by 133 · see citing works
Effect of Person-specific Biometrics in Improving Generic Stress Predictive Models
Nkurikiyeyezu, K. N., Yokokubo, A., & Lopez, G. F. (2020) · Sensors and Materials · doi:10.18494/sam.2020.2650 · Cited by 62 · see citing works
Teepe, G. W., Fonseca, A. D., Kleim, B., Jacobson, N. C., Salamanca-Sanabria, A., Car, L. T., Fleisch, E., & Kowatsch, T. (2021) · Journal of Medical Internet Research · doi:10.2196/29412 · Cited by 60 · see citing works
Roy, M. J., Costanzo, M. E., Highland, K. B., Olsen, C., Clayborne, D., & Law, W. (2017) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0221 · Cited by 43 · see citing works
Gromatsky, M. A., Sullivan, S. R., Spears, A. P., Mitchell, E. L., Walsh, S., Kimbrel, N. A., & Goodman, M. S. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113359 · Cited by 37 · see citing works
Betthauser, L. M., Stearns‐Yoder, K. A., McGarity, S., Smith, V., Place, S. S., & Brenner, L. A. (2020) · Journal of Medical Internet Research · doi:10.2196/15506 · Cited by 34 · see citing works
Acceptability of Web-Based Mental Health Interventions in the Workplace: Systematic Review
Scheutzow, J., Attoe, C., & Harwood, J. (2022) · JMIR Mental Health · doi:10.2196/34655 · Cited by 30 · see citing works
“Mean 42.5 (SD 12) 30Pilot study; recruited mental health care professionals from a health care system Resilience mobile app to decrease burnout (assessment tools); 4 weeks; assess usability, acceptability, and effectiveness Wood et al [41], United States + +2 participants did not want to download the app (privacy conc…”
BackgroundMethodInfluentialPlant Robot for At-Home Behavioral Activation Therapy Reminders to Young Adults with Depression
Bhat, A. S., Boersma, C., Meijer, M. J., Dokter, M., Bohlmeijer, E. T., & Li, J. J. (2021) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3442680 · Cited by 24 · see citing works
Keen, S. M., & Roberts, N. (2016) · Health Systems · doi:10.1057/hs.2016.2 · Cited by 24 · see citing works
Armstrong, C. M., Ciulla, R., Edwards‐Stewart, A., Hoyt, T., & Bush, N. E. (2018) · Professional Psychology Research and Practice · doi:10.1037/pro0000194 · Cited by 24 · see citing works
Self-citationYom‐Tov, E., Lekkas, D., Heinz, M. V., Nguyen, T., Barr, P. J., & Jacobson, N. C. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.11.024 · Cited by 18 · see citing works
Gama, B., & Laher, S. (2023) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-023-00360-z · Cited by 18 · see citing works
Armstrong, C. M., Hoyt, T., Kinn, J. T., Ciulla, R., & Bush, N. E. (2017) · Best practices in mental health · doi:10.70256/314845ciwvqz · Cited by 16 · see citing works
Self-citationThe Digital Revolution in Medicine: Applications in Cardio-Oncology
Echefu, G. C., Baťalík, L., Lukan, A. O., Shah, R., Nain, P., Guha, A., & Brown, S.-A. N. (2024) · Current Treatment Options in Cardiovascular Medicine · doi:10.1007/s11936-024-01059-x · Cited by 15 · see citing works
Kulakli, A., & Shubina, I. (2020) · JMIR mhealth and uhealth · doi:10.2196/19391 · Cited by 15 · see citing works
A Bibliometric Study on Mobile Applications for PTSD Treatment : The Period of 2010-2019
Kulakli, A., & Shubina, I. (2020) · International Conference on Information Management · doi:10.1109/icim49319.2020.244717 · Cited by 13 · see citing works
A scoping review of mental health mobile apps for use by the military community
Tam-Seto, L., Wood, V. M., Linden, B., & Stuart, H. (2018) · mHealth · doi:10.21037/mhealth.2018.12.01 · Cited by 11 · see citing works
Perceptions of an AI-Supported Mobile App for Military Health in the Canadian Armed Forces
Tam-Seto, L., Wood, V. M., Linden, B., & Stuart, H. (2021) · Military Behavioral Health · doi:10.1080/21635781.2020.1838364 · Cited by 11 · see citing works
Integration of mCare and T2 Mood Tracker: Illustrating mHealth Usability Testing
McCreight, S. J., Brinton, C. T., Kinn, J. T., Bush, N. E., & Hoyt, T. (2019) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-019-00087-w · Cited by 7 · see citing works
Self-citationStrauss, J., Zhang, J., Jarrett, M. L., Patterson, B. A., & Ameringen, M. V. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822201-0.00006-x · Cited by 8 · see citing works
Online tools for individuals with depression and neurologic conditions
Lukmanji, S., Pham, T., Blaikie, L., Clark, C., Jetté, N., Wiebe, S., Bulloch, A. G. M., Holroyd-Leduc, J. M., Macrodimitris, S. D., Mackie, A., et al. (2017) · Neurology Clinical Practice · doi:10.1212/cpj.0000000000000365 · Cited by 5 · see citing works
An Interaction Design Analysis of Mood Trackers
Branco, R. M., Neves, M., Noriega, P., & Casais, M. (2020) · Springer series in design and innovation · doi:10.1007/978-3-030-61671-7_3 · Cited by 5 · see citing works
Mental health mobile app use to manage psychological difficulties: an umbrella review
Badesha, K., Wilde, S., & Dawson, D. L. (2022) · Mental Health Review Journal · doi:10.1108/mhrj-02-2021-0014 · Cited by 6 · see citing works
Approaches and Strategies in Applied Behavior Analysis for Children with Autism Spectrum Disorder
Tuna, A. (2024) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.1315911 · Cited by 4 · see citing works
Areán, P. A., & Allred, R. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90045-4.00011-3 · Cited by 3 · see citing works
MTWIN: A mental health monitoring framework toward a Digital Twin
Yücel, K., Özcanhan, M. H., & Unluturk, M. S. (2026) · Smart Health · doi:10.1016/j.smhl.2026.100646 · Cited by 2 · see citing works
Corthésy-Blondin, L., Lemyre, A., Poitras, M., & Guay, S. (2023) · Technology Mind and Behavior · doi:10.1037/tmb0000121 · Cited by 2 · see citing works
Allen, R. R., Malik, M. A., Aquin, C., Herceg, L., Brémault‐Phillips, S., & Sevigny, P. R. (2025) · JMIR mhealth and uhealth · doi:10.2196/65149 · Cited by 3 · see citing works
A Support System for Habitual Journaling
Shiraishi, C., & Fujimoto, T. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-65796-3_23 · Cited by 1 · see citing works
Internet-Based/Technology-Based Interventions in Major Depressive Disorder
Rajagopalan, A., & Ho, R. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-58131-8.00011-2 · Cited by 1 · see citing works
Castelnuovo, G., & Manzoni, G. M. (2021) · Comprehensive Clinical Psychology · doi:10.1016/b978-0-12-818697-8.00004-2
Shubina, I. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4184290
Corthésy-Blondin, L., Lemyre, A., Poitras, M., & Guay, S. (2023) · Technology Mind and Behavior · doi:10.1037/tmb0000121.supp
Foley, G., Cassiano, M. S., & Ricciardelli, R. (2025) · Digital Health · doi:10.1177/20552076251384142
Gual-Montolio, P., Suso‐Ribera, C., Díaz-Sanahuja, L., García‐Palacios, A., Bretón-López, J. M., & Alonso-Olea, I. (2026) · Behavioral Sciences · doi:10.3390/bs16091546
- Authors
- Bush, N. E., Ouellette, G., & Kinn, J.
- ORCID
- Bush, Nigel E.
- Venue
- Military Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-12
- Volume
- 179
- Issue
- 12
- Pages
- 1453-1457
- ISSN
- 0026-4075 (ISSN-L)
- 1930-613X
- OpenAlex
- W2330003367
- Cited by
- 39
- References
- 16
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 6 · 2020: 8 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 2
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Military Medicine (publishedVersion)
- PubMed (publishedVersion)
- 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 › Clinical Psychology › Posttraumatic Stress Disorder Research
- Keywords
- mobile health apps, mood tracking, self-monitoring, post-traumatic stress disorder, depression, anxiety, traumatic brain injury, stress, well-being, patient-reported outcomes, user acceptance
- MeSH terms
- Affect, Anxiety, Attitude of Health Personnel, Consumer Behavior, Depression, Humans, Military Personnel, United States, Patient Satisfaction, Cell Phone, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
