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Citing this Article

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Published on 26.05.17 in Vol 19, No 5 (2017): May

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

Works citing "More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7463):

(note that this is only a small subset of citations)

  1. So R, Shinohara K, Aoki T, Tsujimoto Y, Suganuma AM, Furukawa TA. Effect of Recruitment Methods on Response Rate in a Web-Based Study for Primary Care Physicians: Factorial Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(2):e28
    CrossRef
  2. Cramer ME, Mollard EK, Ford AL, Kupzyk KA, Wilson FA. The feasibility and promise of mobile technology with community health worker reinforcement to reduce rural preterm birth. Public Health Nursing 2018;35(6):508
    CrossRef
  3. Cao B, Saha PT, Leuba SI, Lu H, Tang W, Wu D, Ong J, Liu C, Fu R, Wei C, Tucker JD. Recalling, Sharing and Participating in a Social Media Intervention Promoting HIV Testing: A Longitudinal Analysis of HIV Testing Among MSM in China. AIDS and Behavior 2019;23(5):1240
    CrossRef
  4. O’Connor D, Brennan L, Caulfield B. The use of neuromuscular electrical stimulation (NMES) for managing the complications of ageing related to reduced exercise participation. Maturitas 2018;113:13
    CrossRef
  5. Rhodes A, Smith AD, Chadwick P, Croker H, Llewellyn CH. Exclusively Digital Health Interventions Targeting Diet, Physical Activity, and Weight Gain in Pregnant Women: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2020;8(7):e18255
    CrossRef
  6. Sanchez Antelo V, Kohler RE, Curotto M, Viswanath K, Paolino M, Arrossi S. Developing SMS Content to Promote Papanicolaou Triage Among Women Who Performed HPV Self-collection Test: Qualitative Study. JMIR Formative Research 2020;4(3):e14652
    CrossRef
  7. Arigo D, Jake-Schoffman DE, Wolin K, Beckjord E, Hekler EB, Pagoto SL. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67
    CrossRef
  8. Gram IT, Larbi D, Wangberg SC. Comparing the Efficacy of an Identical, Tailored Smoking Cessation Intervention Delivered by Mobile Text Messaging Versus Email: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(9):e12137
    CrossRef
  9. Schwartz LA, Daniel LC, Henry‐Moss D, Bonafide CP, Li Y, Psihogios AM, Butler ES, Szalda D, Ver Hoeve ES, Hobbie WL, Dowshen NL, Pierce L, Kersun LS, Barakat LP. Feasibility and acceptability of a pilot tailored text messaging intervention for adolescents and young adults completing cancer treatment. Psycho-Oncology 2020;29(1):164
    CrossRef
  10. Pfammatter AF, Marchese SH, Pellegrini C, Daly E, Davidson M, Spring B. Using the Preparation Phase of the Multiphase Optimization Strategy to Develop a Messaging Component for Weight Loss: Formative and Pilot Research. JMIR Formative Research 2020;4(5):e16297
    CrossRef
  11. Li A, Cunich M, Fuller N, Purcell K, Flynn A, Caterson I. Improving Adherence to Weight‐Loss Medication (Liraglutide 3.0 mg) Using Mobile Phone Text Messaging and Healthcare Professional Support. Obesity 2020;28(10):1889
    CrossRef
  12. Gong E, Gu W, Luo E, Tan L, Donovan J, Sun C, Yang Y, Zang L, Bao P, Yan LL. Development and Local Contextualization of Mobile Health Messages for Enhancing Disease Management Among Community-Dwelling Stroke Patients in Rural China: Multimethod Study. JMIR mHealth and uHealth 2019;7(12):e15758
    CrossRef
  13. Suffoletto B, Muldoon M. Not all texts are created equal: Design considerations for text message interventions to improve antihypertensive medication adherence. The Journal of Clinical Hypertension 2017;19(12):1285
    CrossRef
  14. Baumel A, Faber K. Evaluating Triple P Online: A Digital Parent Training Program for Child Behavior Problems. Cognitive and Behavioral Practice 2018;25(4):538
    CrossRef
  15. Lessans S, Vega X, Foley B, Bossan A, Baker A, McElroy M, Crouse E, Pasarica M. A patient-centredness improvement study for efficacy of behaviour change for healthy lifestyle and weight loss in a student-run free clinic. Family Practice 2020;
    CrossRef
  16. Carrillo-Larco RM, Jiwani SS, Diez-Canseco F, Kanter R, Beratarrechea A, Irazola V, Ramirez-Zea M, Rubinstein A, Martinez H, Miranda JJ. Implementation Tells Us More Beyond Pooled Estimates: Secondary Analysis of a Multicountry mHealth Trial to Reduce Blood Pressure. JMIR mHealth and uHealth 2018;6(11):e10226
    CrossRef
  17. MacPherson MM, Merry KJ, Locke SR, Jung ME. Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(9):e12956
    CrossRef
  18. Kompf J. The Use of Text Messages for Exercise Behavior Change Techniques. Strength and Conditioning Journal 2019;41(6):87
    CrossRef
  19. Park LG, Ng F, K Shim J, Elnaggar A, Villero O. Perceptions and experiences of using mobile technology for medication adherence among older adults with coronary heart disease: A qualitative study. DIGITAL HEALTH 2020;6:205520762092684
    CrossRef
  20. Gustafson A, Jilcott Pitts S, McQuerry K, Babtunde O, Mullins J. A Mentor-Led Text-Messaging Intervention Increases Intake of Fruits and Vegetables and Goal Setting for Healthier Dietary Consumption among Rural Adolescents in Kentucky and North Carolina, 2017. Nutrients 2019;11(3):593
    CrossRef
  21. Nelson LA, Spieker A, Greevy R, LeStourgeon LM, Wallston KA, Mayberry LS. User Engagement Among Diverse Adults in a 12-Month Text Message–Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e17534
    CrossRef
  22. Sahin C, Courtney KL, 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
    CrossRef
  23. Baumel A, Kane JM. Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset. Journal of Medical Internet Research 2018;20(12):e11491
    CrossRef
  24. Haque MS, Kangas M, Jämsä T. Feasibility of a Persuasive mHealth Behavioural Change Intervention in Promoting Physical Activity in the Workplace (Preprint). JMIR Formative Research 2019;
    CrossRef
  25. Bidargaddi N, Pituch T, Maaieh H, Short C, Strecher V. Predicting which type of push notification content motivates users to engage in a self-monitoring app. Preventive Medicine Reports 2018;11:267
    CrossRef
  26. Baumel A, Birnbaum ML, Sucala M. A Systematic Review and Taxonomy of Published Quality Criteria Related to the Evaluation of User-Facing eHealth Programs. Journal of Medical Systems 2017;41(8)
    CrossRef
  27. Psihogios AM, Li Y, Butler E, Hamilton J, Daniel LC, Barakat LP, Bonafide CP, Schwartz LA. Text Message Responsivity in a 2-Way Short Message Service Pilot Intervention With Adolescent and Young Adult Survivors of Cancer. JMIR mHealth and uHealth 2019;7(4):e12547
    CrossRef
  28. Gomis-Pastor M, Roig E, Mirabet S, T De Pourcq J, Conejo I, Feliu A, Brossa V, Lopez L, Ferrero-Gregori A, Barata A, Mangues MA. A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study. JMIR mHealth and uHealth 2020;8(2):e15957
    CrossRef
  29. Stenlund T, Nyberg A, Lundell S, Wadell K. Web-based support for self-management strategies versus usual care for people with COPD in primary healthcare: a protocol for a randomised, 12-month, parallel-group pragmatic trial. BMJ Open 2019;9(10):e030788
    CrossRef
  30. Jibb LA, Stevens BJ, Nathan PC, Seto E, Cafazzo JA, Johnston DL, Hum V, Stinson JN. Perceptions of Adolescents With Cancer Related to a Pain Management App and Its Evaluation: Qualitative Study Nested Within a Multicenter Pilot Feasibility Study. JMIR mHealth and uHealth 2018;6(4):e80
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.7463):

  1. Baumeister H, Kraft R, Baumel A, Pryss R, Messner E. Digital Phenotyping and Mobile Sensing. 2019. Chapter 17:261
    CrossRef