Published on in Vol 5, No 10 (2017): October
Journals
- McDonald A, Sasangohar F, Jatav A, Rao A. Continuous monitoring and detection of post-traumatic stress disorder (PTSD) triggers among veterans: A supervised machine learning approach. IISE Transactions on Healthcare Systems Engineering 2019;9(3):201 View
- Goreis A, Felnhofer A, Kafka J, Probst T, Kothgassner O. Efficacy of Self-Management Smartphone-Based Apps for Post-traumatic Stress Disorder Symptoms: A Systematic Review and Meta-Analysis. Frontiers in Neuroscience 2020;14 View
- Reyes A, Bhatta T, Muthukumar V, Gangozo W. Testing the acceptability and initial efficacy of a smartphone-app mindfulness intervention for college student veterans with PTSD. Archives of Psychiatric Nursing 2020;34(2):58 View
- Schellong J, Lorenz P, Weidner K. Proposing a standardized, step-by-step model for creating post-traumatic stress disorder (PTSD) related mobile mental health apps in a framework based on technical and medical norms. European Journal of Psychotraumatology 2019;10(1) View
- Mehrotra S, Tripathi R. Recent developments in the use of smartphone interventions for mental health. Current Opinion in Psychiatry 2018;31(5):379 View
- Sadeghi M, Sasangohar F, McDonald A. Toward a Taxonomy for Analyzing the Heart Rate as a Physiological Indicator of Posttraumatic Stress Disorder: Systematic Review and Development of a Framework. JMIR Mental Health 2020;7(7):e16654 View
- Moon J, Williams J, Sasangohar F, Khanade K, Rodriguez-Paras C. Veteran-centered Design of a Post-Traumatic Stress Disorder (PTSD) Tool: Qualitative Analysis of Interviews with Veterans. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018;62(1):548 View
- Marshall J, Dunstan D, Bartik W. Treating Psychological Trauma in the Midst of COVID-19: The Role of Smartphone Apps. Frontiers in Public Health 2020;8 View
- Sadeghi M, Sasangohar F, McDonald A. Analyzing Heart Rate as a Physiological Indicator of Post-Traumatic Stress Disorder: A Scoping Literature Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019;63(1):1936 View
- Nuamah J, Mehta R, Sasangohar F. Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review. JMIR mHealth and uHealth 2020;8(6):e15752 View
- Deshpande A, Shimunova T. A Comprehensive Evaluation of Tinnitus Apps. American Journal of Audiology 2019;28(3):605 View
- Magee J, Adut S, Brazill K, Warnick S. Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care. Current Treatment Options in Psychiatry 2018;5(3):345 View
- Cheung Y, Hsueh P, Ensari I, Willey J, Diaz K. Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study. Sensors 2018;18(9):3056 View
- van Herpen M, Boeschoten M, te Brake H, van der Aa N, Olff M. Mobile Insight in Risk, Resilience, and Online Referral (MIRROR): Psychometric Evaluation of an Online Self-Help Test. Journal of Medical Internet Research 2020;22(9):e19716 View
- Latour C, O’Byrne L, McCarthy M, Chacko R, Russell E, Price R. Improving mental health in U.S. Veterans using mHealth tools: A pilot study. Health Informatics Journal 2020;26(4):3201 View
- Lo C, Yu J, Görges M, Matava C, Veyckemans F. Anesthesia in the modern world of apps and technology: Implications and impact on wellness. Pediatric Anesthesia 2021;31(1):31 View
- Kulakli A, Shubina I. Scientific Publication Patterns of Mobile Technologies and Apps for Posttraumatic Stress Disorder Treatment: Bibliometric Co-Word Analysis. JMIR mHealth and uHealth 2020;8(11):e19391 View
- Röhr S, Jung F, Pabst A, Grochtdreis T, Dams J, Nagl M, Renner A, Hoffmann R, König H, Kersting A, Riedel-Heller S. A Self-Help App for Syrian Refugees With Posttraumatic Stress (Sanadak): Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(1):e24807 View
- Wickersham A, Carr E, Hunt R, Davis J, Hotopf M, Fear N, Downs J, Leightley D. Changes in Physical Activity among United Kingdom University Students Following the Implementation of Coronavirus Lockdown Measures. International Journal of Environmental Research and Public Health 2021;18(6):2792 View
- Reyes A, Song H, Bhatta T, Kearney C. Exploring the relationships between resilience, mindfulness, and experiential avoidance after the use of a mindfulness‐ and acceptance‐based mobile app for posttraumatic stress disorder. Perspectives in Psychiatric Care 2022;58(2):776 View
- Sadeghi M, Sasangohar F, McDonald A, Hegde S. Understanding Heart Rate Reactions to Post-Traumatic Stress Disorder (PTSD) Among Veterans: A Naturalistic Study. Human Factors: The Journal of the Human Factors and Ergonomics Society 2022;64(1):173 View
- Reyes A. The Process of Learning Mindfulness and Acceptance through the Use of a Mobile App Based on Acceptance and Commitment Therapy: A Grounded Theory Analysis. Issues in Mental Health Nursing 2022;43(1):3 View
- Krauss A, Begovic E, Harper K, Teng E. Advances in Psychotherapy for Posttraumatic Stress Disorder. Advances in Psychiatry and Behavioral Health 2021;1(1):1 View
- Na H, Jo M, Lee C, Kim D. Development and Evaluation: A Behavioral Activation Mobile Application for Self-Management of Stress for College Students. Healthcare 2022;10(10):1880 View
- Balaskas A, Schueller S, Cox A, Doherty G. The Functionality of Mobile Apps for Anxiety: Systematic Search and Analysis of Engagement and Tailoring Features. JMIR mHealth and uHealth 2021;9(10):e26712 View
- SEVEN E, TURGUNER C, AYDIN M. Travma Sonrası Stres Bozukluğunun Derin Öğrenme Yöntemleri ile Tespiti. El-Cezeri Fen ve Mühendislik Dergisi 2022 View
- Pearson R, Carl E, Creech S. Computerized Psychological Interventions in Veterans and Service Members: Systematic Review of Randomized Controlled Trials. Journal of Medical Internet Research 2022;24(6):e30065 View
- Deady M, Collins D, Gayed A, Harvey S, Bryant R. The development of a smartphone app to enhance post-traumatic stress disorder treatment in high-risk workers. DIGITAL HEALTH 2023;9 View
- Sadeghi M, McDonald A, Sasangohar F, Kaiser M. Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data. PLOS ONE 2022;17(5):e0267749 View
- Henry N, Donkin L, Williams M, Pedersen M. mHealth Technologies for Managing Problematic Pornography Use: Content Analysis. JMIR Formative Research 2022;6(10):e39869 View
- Mentis A, Lee D, Roussos P. Applications of artificial intelligence−machine learning for detection of stress: a critical overview. Molecular Psychiatry 2024;29(6):1882 View
- Shubina I. Supporting Youth with PTSD Through Technology Usage as a Tool in Psychological Intervention Considering School Environments: A Bibliometric Analysis. SSRN Electronic Journal 2022 View
- Heydarian S, Shakiba A, Rostam Niakan Kalhori S. The Minimum Feature Set for Designing Mobile Apps to Support Bipolar Disorder-Affected Patients: Proposal of Essential Functions and Requirements. Journal of Healthcare Informatics Research 2023;7(2):254 View
- Danielson C, Moreland A, Hahn A, Banks D, Ruggiero K. Development and Usability Testing of an mHealth Tool for Trauma-Informed Prevention of Substance Use, HIV Acquisition, and Risky Sexual Behaviors Among Adolescents: Mixed Methods Study. JMIR Formative Research 2024;8:e52835 View
- Davis C, Miller M, McLean C. The Impact of User Engagement With Exposure Components on Posttraumatic Stress Symptoms in an mHealth Mobile App: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e49393 View
- Reyes, PhD, MSN, RN A, Fudolig, PhD M, Sharma, MBBS, PhD, MCHES M, S. Evangelista, PhD, RN, FAAN L. Testing the Effectiveness of a Mindfulness- and Acceptance-Based Smartphone App for Nurses Traumatized by the COVID-19 Pandemic: A Pilot Study. Issues in Mental Health Nursing 2024;45(10):1034 View