Published on in Vol 15, No 3 (2013): March

Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment

Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment

Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment

Journals

  1. Wickham C, Carbone E. Who’s calling for weight loss? A systematic review of mobile phone weight loss programs for adolescents. Nutrition Reviews 2015;73(6):386 View
  2. Watson T, Simpson S, Hughes C. Text messaging interventions for individuals with mental health disorders including substance use: A systematic review. Psychiatry Research 2016;243:255 View
  3. Braciszewski J, Tzilos Wernette G, Moore R, Tran T, Bock B, Stout R, Chamberlain P, Vose-O’Neal A. Developing a tailored substance use intervention for youth exiting foster care. Child Abuse & Neglect 2018;77:211 View
  4. Segovia-Siapco G, Sabaté J. Using Personal Mobile Phones to Assess Dietary Intake in Free-Living Adolescents: Comparison of Face-to-Face Versus Telephone Training. JMIR mHealth and uHealth 2016;4(3):e91 View
  5. Gaynor M, Schneider D, Seltzer M, Crannage E, Barron M, Waterman J, Oberle A. A user‐centered, learning asthma smartphone application for patients and providers. Learning Health Systems 2020;4(3) View
  6. Mulvaney S, Ho Y, Cala C, Chen Q, Nian H, Patterson B, Johnson K. Assessing Adolescent Asthma Symptoms and Adherence Using Mobile Phones. Journal of Medical Internet Research 2013;15(7):e141 View
  7. Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Promotion of Healthy Nutrition and Physical Activity Lifestyles for Teenagers: A Systematic Literature Review of The Current Methodologies. Journal of Personalized Medicine 2020;10(1):12 View
  8. Partridge S, Raeside R, Singleton A, Hyun K, Redfern J. Effectiveness of Text Message Interventions for Weight Management in Adolescents: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e15849 View
  9. Jennings Mayo-Wilson L, Glass N, Labrique A, Davoust M, Ssewamala F, Linnemayr S, Johnson M. Feasibility of Assessing Economic and Sexual Risk Behaviors Using Text Message Surveys in African-American Young Adults Experiencing Homelessness and Unemployment: Single-Group Study. JMIR Formative Research 2020;4(7):e14833 View
  10. Schnall R. Short Message Service Use in Clinical Care Through a Simulation Activity. Journal of Nursing Education 2015;54(5):290 View
  11. Zang J, Song J, Wang Z, Yao C, Ma J, Huang C, Zhu Z, Smith L, Du S, Hua J, Seto E, Popkin B, Zou S. Acceptability and feasibility of smartphone-assisted 24 h recalls in the Chinese population. Public Health Nutrition 2015;18(18):3272 View
  12. Iribarren S, Brown W, Giguere R, Stone P, Schnall R, Staggers N, Carballo-Diéguez A. Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions. International Journal of Medical Informatics 2017;101:28 View
  13. Garcia C, Hardeman R, Kwon G, Lando-King E, Zhang L, Genis T, Brady S, Kinder E. Teenagers and Texting: Use of a Youth Ecological Momentary Assessment System in Trajectory Health Research With Latina Adolescents. JMIR mhealth and uhealth 2014;2(1):e3 View
  14. Mehta N, Inturrisi C, Horn S, Witkin L. Using Chronic Pain Outcomes Data to Improve Outcomes. Anesthesiology Clinics 2016;34(2):395 View
  15. Brown W, Yen P, Rojas M, Schnall R. Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of Biomedical Informatics 2013;46(6):1080 View
  16. Ng W, Nicholas H. Understanding mobile digital worlds: how do Australian adolescents relate to mobile technology?. Technology, Pedagogy and Education 2018;27(4):513 View
  17. van Velthoven M, Wang W, Wu Q, Li Y, Scherpbier R, Du X, Chen L, Zhang Y, Car J, Rudan I. Comparison of text messaging data collection vs face-to-face interviews for public health surveys: a cluster randomized crossover study of care-seeking for childhood pneumonia and diarrhoea in rural China. Journal of Global Health 2018;8(1) View
  18. Braciszewski J, Tzilos Wernette G, Moore R, Bock B, Stout R, Chamberlain P. A pilot randomized controlled trial of a technology-based substance use intervention for youth exiting foster care. Children and Youth Services Review 2018;94:466 View
  19. Spook J, Paulussen T, Kok G, Van Empelen P. Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool. Journal of Medical Internet Research 2013;15(9):e214 View
  20. Schnall R, John R, Carballo-Dieguez A. Do High-Risk Young Adults Use the HIV Self-Test Appropriately? Observations from a Think-Aloud Study. AIDS and Behavior 2016;20(4):939 View
  21. Stonbraker S, Porras T, Schnall R. Patient preferences for visualization of longitudinal patient-reported outcomes data. Journal of the American Medical Informatics Association 2020;27(2):212 View
  22. Hannan J, Brooten D, Page T, Galindo A, Torres M. Low-Income First-Time Mothers. Global Pediatric Health 2016;3 View
  23. Dockray S, O'Neill S, Jump O. Measuring the Psychobiological Correlates of Daily Experience in Adolescents. Journal of Research on Adolescence 2019;29(3):595 View
  24. Hossein Rashidi B, Malek Afzali H, Haghollahi F, Ardalan G, Motlagh M, Kazemi Jaliseh H. Evaluation of some diet habit and physical activity in adolescents in Tehran (2011). The Journal of Qazvin University of Medical Sciences 2018;22(1):23 View
  25. Burton C. The Health Needs of Young Women. Advances in Nursing Science 2016;39(2):108 View
  26. Lim M, Wright C, Hellard M. The Medium and the Message: Fitting Sound Health Promotion Methodology Into 160 Characters. JMIR mHealth and uHealth 2014;2(4):e40 View
  27. Pike J, Xie B, Tan N, Sabado-Liwag M, Orne A, Toilolo T, Cen S, May V, Lee C, Pang V, Rainer M, Vaivao D, Lepule J, Tanjasiri S, Palmer P. Developing an Internet- and Mobile-Based System to Measure Cigarette Use Among Pacific Islanders: An Ecological Momentary Assessment Study. JMIR mHealth and uHealth 2016;4(1):e2 View
  28. Harbaugh C, Vu J, DeJonckheere M, Kim N, Nichols L, Chang T. Youth Perspectives of Prescription Pain Medication in the Opioid Crisis. The Journal of Pediatrics 2020;221:159 View
  29. Yoo W, Kim S, Hong Y, Chih M, Shah D, Gustafson D. Patient–Clinician Mobile Communication: Analyzing Text Messaging Between Adolescents with Asthma and Nurse Case Managers. Telemedicine and e-Health 2015;21(1):62 View
  30. Engel S, Crosby R, Thomas G, Bond D, Lavender J, Mason T, Steffen K, Green D, Wonderlich S. Ecological Momentary Assessment in Eating Disorder and Obesity Research: a Review of the Recent Literature. Current Psychiatry Reports 2016;18(4) View
  31. Magallón-Neri E, Kirchner T, Forns M, Calderón C, Planellas I. Ecological momentary assessment of contextual variables, satisfaction, and emotional and behavioral states of adolescents by level of victimization. Child Abuse & Neglect 2018;80:268 View
  32. Barr C, Marois M, Sim I, Schmid C, Wilsey B, Ward D, Duan N, Hays R, Selsky J, Servadio J, Schwartz M, Dsouza C, Dhammi N, Holt Z, Baquero V, MacDonald S, Jerant A, Sprinkle R, Kravitz R. The PREEMPT study - evaluating smartphone-assisted n-of-1 trials in patients with chronic pain: study protocol for a randomized controlled trial. Trials 2015;16(1) View
  33. Schnall R, Mosley J, Iribarren S, Bakken S, Carballo-Diéguez A, Brown III W. Comparison of a User-Centered Design, Self-Management App to Existing mHealth Apps for Persons Living With HIV. JMIR mHealth and uHealth 2015;3(3):e91 View
  34. Windham M, Hastings E, Anding R, Hergenroeder A, Escobar-Chaves S, Wiemann C. “Teens Talk Healthy Weight”: The Impact of a Motivational Digital Video Disc on Parental Knowledge of Obesity-Related Diseases in an Adolescent Clinic. Journal of the Academy of Nutrition and Dietetics 2014;114(10):1611 View
  35. Magallón-Neri E, Kirchner-Nebot T, Forns-Santacana M, Calderón C, Planellas I. Ecological Momentary Assessment with smartphones for measuring mental health problems in adolescents. World Journal of Psychiatry 2016;6(3):303 View
  36. De Cock N, Vangeel J, Lachat C, Beullens K, Vervoort L, Goossens L, Maes L, Deforche B, De Henauw S, Braet C, Eggermont S, Kolsteren P, Van Camp J, Van Lippevelde W. Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents. JMIR mHealth and uHealth 2017;5(4):e58 View
  37. DeJonckheere M, Nichols L, Moniz M, Sonneville K, Vydiswaran V, Zhao X, Guetterman T, Chang T. MyVoice National Text Message Survey of Youth Aged 14 to 24 Years: Study Protocol. JMIR Research Protocols 2017;6(12):e247 View
  38. Schneider T, Panzera A, Martinasek M, McDermott R, Couluris M, Lindenberger J, Bryant C. Physicians’ perceptions of mobile technology for enhancing asthma care for youth. Journal of Child Health Care 2016;20(2):153 View
  39. Garbers S, Hunersen K, Nechitilo M, Fisch M, Bell D, Byrne M, Gold M. Healthy Weight and Cardiovascular Health Promotion Interventions for Adolescent and Young Adult Males of Color: A Systematic Review. American Journal of Men's Health 2018;12(5):1328 View
  40. Seidman L, Temme C, Zeltzer L, Rapkin A, Naliboff B, Payne L. Ecological Momentary Assessment of Non-Menstrual Pelvic Pain: Potential Pathways of Central Sensitization in Adolescents and Young Adults with and without Primary Dysmenorrhea. Journal of Pain Research 2020;Volume 13:3447 View
  41. Stonbraker S, Haight E, Lopez A, Guijosa L, Davison E, Bushley D, Aquino Peguero K, Araujo V, Messina L, Halpern M. Digital Educational Support Groups Administered through WhatsApp Messenger Improve Health-Related Knowledge and Health Behaviors of New Adolescent Mothers in the Dominican Republic: A Multi-Method Study. Informatics 2020;7(4):51 View
  42. Stonbraker S, Haight E, Soriano L, Guijosa L, Davison E, Bushley D, Messina L, Halpern M. Establishing content for a digital educational support group for new adolescent mothers in the Dominican Republic: a user-centered design approach. International Journal of Adolescent Medicine and Health 2022;34(4):219 View
  43. Indira I, Vijayamurthy V, Puspawati M, Wiraguna A. Lipschutz Ulcer in A Virgin Woman: A Case Report. Berkala Ilmu Kesehatan Kulit dan Kelamin 2020;32(3):244 View
  44. Frank-Miller E, Fox-Dichter S, Gerke D, Slovacek S, Glotfelty J, Gilbert K, Plax K. Case Managers, HIV-Positive Youth, and a Text Messaging Intervention: “That care just didn’t happen before.”. Journal of the Society for Social Work and Research 2022;13(3):557 View
  45. Smaldone A, Stockwell M, Osborne J, Cortes Y, Bekele E, Green N. Adolescent and Parent Use of New Technologies for Health Communication: A Study in An Urban Latino Community. Journal of Public Health Research 2015;4(1) View
  46. Gerke D, Glotfelty J, Slovacek S, Freshman M, Schlueter J, Plax K. More than just Reminders: Using text Messaging to Improve HIV care Outcomes Among Youth and Young Adults Living with HIV. AIDS and Behavior 2023;27(9):2988 View
  47. Yang J, Casey A, Cale L. The Influence of Healthy Lifestyle Technologies on Young People’s Physical Activity Participation and Health Learning: A Systematic Review. Quest 2023:1 View
  48. Akama E, Beres L, Kulzer J, Ontuga G, Adhiambo H, Bushuru S, Nyagesoa E, Osoro J, Opondo I, Sang N, Oketch B, Nyanga J, Osongo C, Nyandieka E, Ododa E, Omondi E, Ochieng F, Owino C, Odeny T, Kwena Z, Eshun-Wilson I, Petersen M, Bukusi E, Geng E, Abuogi L. A youth-centred approach to improving engagement in HIV services: human-centred design methods and outcomes in a research trial in Kisumu County, Kenya. BMJ Global Health 2023;8(11):e012606 View
  49. Gerke D, Glotfelty J, Schlueter J, Freshman M, Plax K. E-VOLUTION: A Text Messaging–Powered Intervention—Connection, Support, and HIV Eradication. Health Promotion Practice 2020;21(5):716 View
  50. Anne-Laure H, Maxime M, Denise B, Nathalie B, Cindy S. Determining adolescent health information needs: A survey in Geneva, 2022. Preventive Medicine Reports 2024;41:102682 View
  51. Simpson E, Garbett A, Comber R, Balaam M. Factors important for women who breastfeed in public: a content analysis of review data from FeedFinder. BMJ Open 2016;6(10):e011762 View
  52. Wang Y, Ran L, Jiao W, Xia Y, Lan Y. The predation relationship between online medical search and online medical consultation—empirical research based on Baidu platform data. Frontiers in Public Health 2024;12 View