Published on in Vol 16, No 2 (2014): February

Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions

Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions

Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions

Journals

  1. Kristan J, Suffoletto B. Using online crowdsourcing to understand young adult attitudes toward expert-authored messages aimed at reducing hazardous alcohol consumption and to collect peer-authored messages. Translational Behavioral Medicine 2015;5(1):45 View
  2. Boels A, Rutten G, Zuithoff N, de Wit A, Vos R. Effectiveness of diabetes self-management education via a smartphone application in insulin treated type 2 diabetes patients – design of a randomised controlled trial (‘TRIGGER study’). BMC Endocrine Disorders 2018;18(1) View
  3. Willcox J, Campbell K, McCarthy E, Wilkinson S, Lappas M, Ball K, Fjeldsoe B, Griffiths A, Whittaker R, Maddison R, Shub A, Pidd D, Fraser E, Moshonas N, Crawford D. Testing the feasibility of a mobile technology intervention promoting healthy gestational weight gain in pregnant women (txt4two) - study protocol for a randomised controlled trial. Trials 2015;16(1) View
  4. Muench F, Baumel A. More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions. Journal of Medical Internet Research 2017;19(5):e147 View
  5. Sahin C, Courtney K, Naylor P, E Rhodes R. Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis. DIGITAL HEALTH 2019;5:205520761984527 View
  6. Reese J, Joseph R, Cherrington A, Allison J, Kim Y, Spear B, Childs G, Simpson T, Durant N. Development of Participant-Informed Text Messages to Promote Physical Activity Among African American Women Attending College: A Qualitative Mixed-Methods Inquiry. Journal of Transcultural Nursing 2017;28(3):236 View
  7. Gilliam M, Chor J, Hill B. Digital media and sexually transmitted infections. Current Opinion in Obstetrics & Gynecology 2014;26(5):381 View
  8. Carpenter K, Foote J, Hedrick T, Collins K, Clarkin S. Building on shared experiences: The evaluation of a phone-based parent-to-parent support program for helping parents with their child's substance misuse. Addictive Behaviors 2020;100:106103 View
  9. Shaer O, Nov O, Okerlund J, Balestra M, Stowell E, Ascher L, Bi J, Schlenker C, Ball M. Informing the Design of Direct-to-Consumer Interactive Personal Genomics Reports. Journal of Medical Internet Research 2015;17(6):e146 View
  10. Patten C, Bronars C, Vickers Douglas K, Ussher M, Levine J, Tye S, Hughes C, Brockman T, Decker P, DeJesus R, Williams M, Olson T, Clark M, Dieterich A. Supervised, Vigorous Intensity Exercise Intervention for Depressed Female Smokers: A Pilot Study. Nicotine & Tobacco Research 2017;19(1):77 View
  11. Furber G, Jones G, Healey D, Bidargaddi N. A Comparison Between Phone-Based Psychotherapy With and Without Text Messaging Support In Between Sessions for Crisis Patients. Journal of Medical Internet Research 2014;16(10):e219 View
  12. Thomas K, Linderoth C, Bendtsen M, Bendtsen P, Müssener U. Text Message-Based Intervention Targeting Alcohol Consumption Among University Students: Findings From a Formative Development Study. JMIR mHealth and uHealth 2016;4(4):e119 View
  13. Westendorf L, Shaer O, Pollalis C, Verish C, Nov O, Ball M. Exploring Genetic Data Across Individuals: Design and Evaluation of a Novel Comparative Report Tool. Journal of Medical Internet Research 2018;20(9):e10297 View
  14. Ek A, Alexandrou C, Delisle Nyström C, Direito A, Eriksson U, Hammar U, Henriksson P, Maddison R, Trolle Lagerros Y, Löf M. The Smart City Active Mobile Phone Intervention (SCAMPI) study to promote physical activity through active transportation in healthy adults: a study protocol for a randomised controlled trial. BMC Public Health 2018;18(1) View
  15. Kuerbis A, van Stolk-Cooke K, Muench F. An exploratory study of mobile messaging preferences by age: Middle-aged and older adults compared to younger adults. Journal of Rehabilitation and Assistive Technologies Engineering 2017;4:205566831773325 View
  16. Ranney M, Patena J, Dunsiger S, Spirito A, Cunningham R, Boyer E, Nugent N. A technology-augmented intervention to prevent peer violence and depressive symptoms among at-risk emergency department adolescents: Protocol for a randomized control trial. Contemporary Clinical Trials 2019;82:106 View
  17. McPherson K, Bronars C, Patten C, Decker P, Hughes C, Levine J, Vickers-Douglas K, Williams M, Ussher M. Understanding word preference for description of exercise interventions as a means for enhancing recruitment and acceptability of exercise treatment among adults treated for depression. Mental Health and Physical Activity 2014;7(2):73 View
  18. Suffoletto B, Kristan J, Person Mecca L, Chung T, Clark D. Optimizing a Text Message Intervention to Reduce Heavy Drinking in Young Adults: Focus Group Findings. JMIR mHealth and uHealth 2016;4(2):e73 View
  19. Nitzburg G, Farber B. Patterns of utilization and a case illustration of an interactive text‐based psychotherapy delivery system. Journal of Clinical Psychology 2019;75(2):247 View
  20. Ranney M, Freeman J, Connell G, Spirito A, Boyer E, Walton M, Guthrie K, Cunningham R. A Depression Prevention Intervention for Adolescents in the Emergency Department. Journal of Adolescent Health 2016;59(4):401 View
  21. Moore D, Poquette A, Casaletto K, Gouaux B, Montoya J, Posada C, Rooney A, Badiee J, Deutsch R, Letendre S, Depp C, Grant I, Atkinson J. Individualized Texting for Adherence Building (iTAB): Improving Antiretroviral Dose Timing Among HIV-Infected Persons with Co-occurring Bipolar Disorder. AIDS and Behavior 2015;19(3):459 View
  22. Chandra P, Sowmya H, Mehrotra S, Duggal M. ‘SMS’ for mental health – Feasibility and acceptability of using text messages for mental health promotion among young women from urban low income settings in India. Asian Journal of Psychiatry 2014;11:59 View
  23. Blitchtein-Winicki D, Zevallos K, Samolski M, Requena D, Velarde C, Briceño P, Piazza M, Ybarra M. Feasibility and Acceptability of a Text Message-Based Smoking Cessation Program for Young Adults in Lima, Peru: Pilot Study. JMIR mHealth and uHealth 2017;5(8):e116 View
  24. Rosa C, Campbell A, Miele G, Brunner M, Winstanley E. Using e-technologies in clinical trials. Contemporary Clinical Trials 2015;45:41 View
  25. van Stolk-Cooke K, Hayes M, Baumel A, Muench F. Understanding text-based persuasion and support tactics of concerned significant others. PeerJ 2015;3:e1151 View
  26. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6 View
  27. Kuerbis A, Muench F, Lee R, Pena J, Hail L. An exploratory pilot study of mechanisms of action within normative feedback for adult drinkers. PeerJ 2016;4:e2114 View
  28. Doi S, Isumi A, Fujiwara T. The Association between Parental Involvement Behavior and Self-Esteem among Adolescents Living in Poverty: Results from the K-CHILD Study. International Journal of Environmental Research and Public Health 2020;17(17):6277 View
  29. Shrier L, Spalding A. “Just Take a Moment and Breathe and Think”: Young Women with Depression Talk about the Development of an Ecological Momentary Intervention to Reduce Their Sexual Risk. Journal of Pediatric and Adolescent Gynecology 2017;30(1):116 View
  30. Ojo A, Guntuku S, Zheng M, Beidas R, Ranney M. How Health Care Workers Wield Influence Through Twitter Hashtags: Retrospective Cross-sectional Study of the Gun Violence and COVID-19 Public Health Crises. JMIR Public Health and Surveillance 2021;7(1):e24562 View
  31. Andrade A, LeBlanc V, Kalisch-Ellett L, Pratt N, Moffat A, Blacker N, Westaway K, Barratt J, Roughead E. Determinants of usefulness in professional behaviour change interventions: observational study of a 15-year national program. BMJ Open 2020;10(10):e038016 View
  32. Müssener U. Digital encounters: Human interactions in mHealth behavior change interventions. DIGITAL HEALTH 2021;7:205520762110297 View
  33. Sahin C, Courtney K, Naylor P, Rhodes R. Mobile Text Message Design and Delivery Preferences of Patients with Type 2 Diabetes: A Social Marketing Approach. Journal of Technology in Behavioral Science 2022;7(4):415 View
  34. Kornfield R, Mohr D, Ranney R, Lattie E, Meyerhoff J, Williams J, Reddy M. Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  35. Ondersma S, Todd L, Jablonski S, Ahuja C, Gilstad-Hayden K, Goyert G, Loree A, Heffner J, Yonkers K. Online randomised factorial trial of electronic Screening and Brief Intervention for alcohol use in pregnancy: a study protocol. BMJ Open 2022;12(8):e062735 View
  36. Fisher M, Etter K, Murray A, Ghiasi N, LaCross K, Ramsay I, Currie A, Fitzpatrick K, Biagianti B, Schlosser D, Loewy R, Vinogradov S. The Effects of Remote Cognitive Training Combined With a Mobile App Intervention on Psychosis: Double-Blind Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e48634 View
  37. Zhang S, Dieciuc M, Dilanchian A, Lustria M, Carr D, Charness N, He Z, Boot W. Adherence Promotion With Tailored Motivational Messages: Proof of Concept and Message Preferences in Older Adults. Gerontology and Geriatric Medicine 2024;10 View

Books/Policy Documents

  1. Ranney M, Pisani A, Chernick L. Technology and Adolescent Mental Health. View
  2. Mentor D. Encyclopedia of Mobile Phone Behavior. View