Published on in Vol 18, No 9 (2016): September

A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

Journals

  1. Russell C, Denney-Wilson E, Laws R, Abbott G, Zheng M, Lymer S, Taki S, Litterbach E, Ong K, Campbell K. Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study. JMIR mHealth and uHealth 2018;6(4):e77 View
  2. Watson N, Mull K, Heffner J, McClure J, Bricker J. Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions. Journal of Medical Internet Research 2018;20(8):e10351 View
  3. Taki S, Russell C, Lymer S, Laws R, Campbell K, Appleton J, Ong K, Denney-Wilson E. A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program. Frontiers in Endocrinology 2019;10 View
  4. Ekambareshwar M, Mihrshahi S, Wen L, Taki S, Bennett G, Baur L, Rissel C. Facilitators and challenges in recruiting pregnant women to an infant obesity prevention programme delivered via telephone calls or text messages. Trials 2018;19(1) View
  5. Litterbach E, Russell C, Taki S, Denney-Wilson E, Campbell K, Laws R. Factors Influencing Engagement and Behavioral Determinants of Infant Feeding in an mHealth Program: Qualitative Evaluation of the Growing Healthy Program. JMIR mHealth and uHealth 2017;5(12):e196 View
  6. Palac H, Alam N, Kaiser S, Ciolino J, Lattie E, Mohr D. A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1). Journal of Medical Internet Research 2018;20(11):e11049 View
  7. Haines J, Douglas S, Mirotta J, O’Kane C, Breau R, Walton K, Krystia O, Chamoun E, Annis A, Darlington G, Buchholz A, Duncan A, Vallis L, Spriet L, Mutch D, Brauer P, Allen-Vercoe E, Taveras E, Ma D. Guelph Family Health Study: pilot study of a home-based obesity prevention intervention. Canadian Journal of Public Health 2018;109(4):549 View
  8. Taki S, Russell C, Wen L, Laws R, Campbell K, Xu H, Denney-Wilson E. Consumer Engagement in Mobile Application (App) Interventions Focused on Supporting Infant Feeding Practices for Early Prevention of Childhood Obesity. Frontiers in Public Health 2019;7 View
  9. Laws R, Denney-Wilson E, Taki S, Russell C, Zheng M, Litterbach E, Ong K, Lymer S, Elliott R, Campbell K. Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study. JMIR mHealth and uHealth 2018;6(4):e78 View
  10. van der Worp H, Loohuis A, Flohil I, Kollen B, Wessels N, Blanker M. Recruitment through media and general practitioners resulted in comparable samples in an RCT on incontinence. Journal of Clinical Epidemiology 2020;119:85 View
  11. Røed M, Hillesund E, Vik F, Van Lippevelde W, Øverby N. The Food4toddlers study - study protocol for a web-based intervention to promote healthy diets for toddlers: a randomized controlled trial. BMC Public Health 2019;19(1) View
  12. Bushar J, Fishman J, Garfinkel D, Pirretti A. Enrolling Underserved Women in mHealth Programs: Results From Text4baby Outreach Campaigns. Health Promotion Practice 2019;20(2):292 View
  13. Dumas A, Lemieux S, Lapointe A, Provencher V, Robitaille J, Desroches S. Recruitment and retention of mothers of preschoolers and school-aged children in a social media-delivered healthy eating intervention: lessons learned from a randomized controlled trial. Trials 2020;21(1) View
  14. Downing K, Campbell K, van der Pligt P, Hesketh K. Facilitator and Participant Use of Facebook in a Community-Based Intervention for Parents: The InFANT Extend Program. Childhood Obesity 2017;13(6):443 View
  15. Shattuck D, Haile L, Simmons R. Lessons From the Dot Contraceptive Efficacy Study: Analysis of the Use of Agile Development to Improve Recruitment and Enrollment for mHealth Research. JMIR mHealth and uHealth 2018;6(4):e99 View
  16. van Gelder M, van de Belt T, Engelen L, Hooijer R, Bredie S, Roeleveld N. Google AdWords and Facebook Ads for Recruitment of Pregnant Women into a Prospective Cohort Study With Long-Term Follow-Up. Maternal and Child Health Journal 2019;23(10):1285 View
  17. Shieh C, Khan I, Umoren R. Engagement design in studies on pregnancy and infant health using social media: Systematic review. Preventive Medicine Reports 2020;19:101113 View
  18. Di Battista E, Bracken R, Stephens J, Rice S, Thomas M, Williams S, Mellalieu S. Workplace delivery of a dietitian‐led cardiovascular disease and type 2 diabetes prevention programme: A qualitative study of participants’ experiences in the context of Basic Needs Theory. Nutrition Bulletin 2017;42(4):309 View
  19. Griauzde D, Kieffer E, Domoff S, Hess K, Feinstein S, Frank A, Pike D, Pesch M. The influence of social media on child feeding practices and beliefs among Hispanic mothers: A mixed methods study. Eating Behaviors 2020;36:101361 View
  20. Downing K, Salmon J, Hinkley T, Hnatiuk J, Hesketh K. Feasibility and Efficacy of a Parent-Focused, Text Message–Delivered Intervention to Reduce Sedentary Behavior in 2- to 4-Year-Old Children (Mini Movers): Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(2):e39 View
  21. Sapp J, Vogel R, Telfair J, Reagan J. Evaluating Web-Based Platforms and Traditional Methods for Recruiting Tattoo Artists: Descriptive Survey Research Study. JMIR Dermatology 2019;2(1):e14151 View
  22. Karlsen M, Lichtenstein A, Economos C, Folta S, Rogers G, Jacques P, Livingston K, Rancaño K, McKeown N. Web-Based Recruitment and Survey Methodology to Maximize Response Rates from Followers of Popular Diets: the Adhering to Dietary Approaches for Personal Taste (ADAPT) Feasibility Survey. Current Developments in Nutrition 2018;2(5):nzy012 View
  23. Vogel M, Combs S, Kessel K. mHealth and Application Technology Supporting Clinical Trials: Today’s Limitations and Future Perspective of smartRCTs. Frontiers in Oncology 2017;7 View
  24. Taki S, Lymer S, Russell C, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89 View
  25. Zarnowiecki D, Mauch C, Middleton G, Matwiejczyk L, Watson W, Dibbs J, Dessaix A, Golley R. A systematic evaluation of digital nutrition promotion websites and apps for supporting parents to influence children’s nutrition. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  26. Chesnut R, Czymoniewicz-Klippel M, DiNallo J, Perkins D. Grow Online: feasibility and proof of concept study. Journal of Children's Services 2019;15(1):25 View
  27. Røed M, Vik F, Hillesund E, Lippevelde W, Øverby N. Associations between parental food choice motives, health-promoting feeding practices, and infants’ fruit and vegetable intakes: the Food4toddlers study. Food & Nutrition Research 2020;64(0) View
  28. Baggett K, Davis B, Sheeber L, Ammerman R, Mosley E, Miller K, Feil E. Minding the Gatekeepers: Referral and Recruitment of Postpartum Mothers with Depression into a Randomized Controlled Trial of a Mobile Internet Parenting Intervention to Improve Mood and Optimize Infant Social Communication Outcomes. International Journal of Environmental Research and Public Health 2020;17(23):8978 View
  29. Rose J, Lynn K, Akister J, Maxton F, Redsell S. Community midwives’ and health visitors’ experiences of research recruitment: a qualitative exploration using the Theoretical Domains Framework. Primary Health Care Research & Development 2021;22 View
  30. Mariscal-Arcas M, Jimenez-Casquet M, Saenz de Buruaga B, Delgado-Mingorance S, Blas-Diaz A, Cantero L, Padial M, Matas M, Martinez N, Salas P, Reboredo A, Lopez-Moro A, Corbalan M, Latorre J, Martinez-Bebia M, Gimenez-Blasi N, Garcia-Sola J, Sanchez-Moreno G. Use of Social Media, Network Avenues, Blog and Scientific Information Systems Through the Website Promoting the Mediterranean Diet as a Method of a Health Safeguarding. Frontiers in Communication 2021;6 View
  31. Baggett K, Davis B, Mosley E, Miller K, Leve C, Feil E. Depressed and Socioeconomically Disadvantaged Mothers’ Progression Into a Randomized Controlled Mobile Mental Health and Parenting Intervention: A Descriptive Examination Prior to and During COVID-19. Frontiers in Psychology 2021;12 View
  32. Dol J, Murphy G, McMillan D, Aston M, Campbell-Yeo M. The experience of remote recruitment for Essential Coaching for Every Mother during the coronavirus disease 2019 pandemic. JBI Evidence Implementation 2022;20(3):218 View
  33. Dauber S, Beacham A, West A, Devkota J, Barrie K, Thrul J. Ecological momentary assessment of heavy episodic drinking in the early postpartum period: A feasibility study. Drug and Alcohol Dependence Reports 2023;7:100146 View
  34. Dauber S, Beacham A, Hammond C, West A, Thrul J. Adaptive Text Messaging for Postpartum Risky Drinking: Conceptual Model and Protocol for an Ecological Momentary Assessment Study. JMIR Research Protocols 2022;11(4):e36849 View
  35. Ellington M, Connelly J, Clayton P, Lorenzo C, Collazo-Velazquez C, Trak-Fellermeier M, Palacios C. Use of Facebook, Instagram, and Twitter for recruiting healthy participants in nutrition-, physical activity–, or obesity-related studies: a systematic review. The American Journal of Clinical Nutrition 2022;115(2):514 View
  36. Hesketh K, Downing K, Galland B, Nicholson J, Taylor R, Orellana L, Abdelrazek M, Koorts H, Brown V, Haines J, Campbell K, Barnett L, Löf M, Moodie M, Carson V, Salmon J. Protocol for the Let’s Grow randomised controlled trial: examining efficacy, cost-effectiveness and scalability of a m-Health intervention for movement behaviours in toddlers. BMJ Open 2022;12(3):e057521 View
  37. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  38. Duffecy J, Grekin R, Long J, Mills J, O'Hara M. Randomized controlled trial of Sunnyside: Individual versus group-based online interventions to prevent postpartum depression. Journal of Affective Disorders 2022;311:538 View
  39. Blakeslee S, Vieler K, Horak I, Stritter W, Seifert G. Planting Seeds for the Future: Scoping Review of Child Health Promotion Apps for Parents. JMIR mHealth and uHealth 2023;11:e39929 View
  40. Dimidi E, McArthur A, White R, Whelan K, Lomer M. Optimizing educational methods for the low FODMAP diet in disorders of gut–brain interaction: A feasibility randomized controlled trial. Neurogastroenterology & Motility 2023;35(10) View
  41. Jawad D, Taki S, Baur L, Rissel C, Mihrshahi S, Ming Wen L. Resources used and trusted regarding child health information by culturally and linguistically diverse communities in Australia: An online cross-sectional survey. International Journal of Medical Informatics 2023;177:105165 View
  42. Laws R, Zheng M, Brown V, Lymer S, Campbell K, Russell C, Taki S, Litterbach E, Ong K, Denney‐Wilson E. The impacts of an mHealth intervention targeting parents on health service usage and out‐of‐pocket costs in the first 9 months of life: The Growing healthy app. Maternal & Child Nutrition 2024 View
  43. Pare S, Gunn E, Morrison K, Miller A, Duncan A, Buchholz A, Ma D, Tremblay P, Vallis L, Mercer N, Haines J. Testing a Biobehavioral Model of Chronic Stress and Weight Gain in Young Children (Family Stress Study): Protocol and Baseline Demographics for a Prospective Observational Study. JMIR Research Protocols 2024;13:e48549 View