This paper is in the following e-collection/theme issue:

Connected Health Symposium 2016 (1) Mobile Health (mhealth) (2939) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Design and Formative Evaluation of Mobile Apps (694)

Published on in Vol 5, No 4 (2017): Oct-Dec

Pain Self-Management for Veterans: Development and Pilot Test of a Stage-Based Mobile-Optimized Intervention

Pain Self-Management for Veterans: Development and Pilot Test of a Stage-Based Mobile-Optimized Intervention

Pain Self-Management for Veterans: Development and Pilot Test of a Stage-Based Mobile-Optimized Intervention

Authors of this article:

Sara S Johnson1 Author Orcid Image ;   Deborah A Levesque1 Author Orcid Image ;   Lynne E Broderick1 Author Orcid Image ;   Dustin G Bailey1 Author Orcid Image ;   Robert D Kerns2 Author Orcid Image
Article Authors Cited by (13) Tweetations (1) Metrics

Journals

  1. Higgins D, Buta E, Williams D, Halat A, Bair M, Heapy A, Krein S, Rajeevan H, Rosen M, Kerns R. Internet‐Based Pain Self‐Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program. Pain Practice 2020;20(4):357 View
  2. Wickersham A, Petrides P, Williamson V, Leightley D. Efficacy of mobile application interventions for the treatment of post-traumatic stress disorder: A systematic review. DIGITAL HEALTH 2019;5 View
  3. Cavanagh R, Bhargava A, Gleason A, Micheel L, Ciulla R, Hoyt T. Use of Health Technologies for Low Back Pain in the Military Health System. Journal of Technology in Behavioral Science 2019;4(4):360 View
  4. Solar C, Halat A, MacLean R, Rajeevan H, Williams D, Krein S, Heapy A, Bair M, Kerns R, Higgins D. Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain. Translational Behavioral Medicine 2021;11(6):1274 View
  5. 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
  6. He X, Zhang R, Alpert J, Zhou S, Adam T, Raisa A, Peng Y, Zhang H, Guo Y, Bian J. When text simplification is not enough: could a graph-based visualization facilitate consumers’ comprehension of dietary supplement information?. JAMIA Open 2021;4(1) View
  7. Hogan T, Etingen B, McMahon N, Bixler F, Am L, Wacks R, Shimada S, Reilly E, Frisbee K, Smith B. Understanding Adoption and Preliminary Effectiveness of a Mobile App for Chronic Pain Management Among US Military Veterans: Pre-Post Mixed Methods Evaluation. JMIR Formative Research 2022;6(1):e33716 View
  8. Kelly M, Fullen B, Martin D, McMahon S, McVeigh J. eHealth Interventions to Support Self-Management in People With Musculoskeletal Disorders, “eHealth: It’s TIME”—A Scoping Review. Physical Therapy 2022;102(4) View
  9. 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
  10. Evenepoel M, Van Dijck S, Meeus M, Dams L, Haenen V, Devoogdt N, Roussel N, De Groef A. Comparison of the effectiveness of eHealth self-management interventions for pain between oncological and musculoskeletal populations: a systematic review with narrative synthesis. Scandinavian Journal of Pain 2023;23(3):433 View
  11. Hunter R, Beattie M, O'Malley C, Gorely T. Mobile apps to self-manage chronic low back pain: A realist synthesis exploring what works, for whom and in what circumstances. PEC Innovation 2023;3:100175 View
  12. Armfield N, Elphinston R, Liimatainen J, Scotti Requena S, Eather C, Edirippulige S, Ritchie C, Robins S, Sterling M. Development and Use of Mobile Messaging for Individuals With Musculoskeletal Pain Conditions: Scoping Review. JMIR mHealth and uHealth 2024;12:e55625 View