Published on in Vol 17, No 4 (2015): April

Eliciting and Receiving Online Support: Using Computer-Aided Content Analysis to Examine the Dynamics of Online Social Support

Eliciting and Receiving Online Support: Using Computer-Aided Content Analysis to Examine the Dynamics of Online Social Support

Eliciting and Receiving Online Support: Using Computer-Aided Content Analysis to Examine the Dynamics of Online Social Support

Authors of this article:

Yi-Chia Wang 1 Author Orcid Image ;   Robert E Kraut 2 Author Orcid Image ;   John M Levine 3 Author Orcid Image


  1. Shan W, Wang Y, Luan J, Tang P. The Influence of Physician Information on Patients’ Choice of Physician in mHealth Services Using China’s Chunyu Doctor App: Eye-Tracking and Questionnaire Study. JMIR mHealth and uHealth 2019;7(10):e15544 View
  2. Halili L, Liu R, Hutchinson K, Semeniuk K, Redman L, Adamo K. Development and pilot evaluation of a pregnancy-specific mobile health tool: a qualitative investigation of SmartMoms Canada. BMC Medical Informatics and Decision Making 2018;18(1) View
  3. Nagourney E, Goodman D, Lam Y, Hurley K, Henderson J, Surkan P. Obese women’s perceptions of weight gain during pregnancy: a theory-based analysis. Public Health Nutrition 2019;22(12):2228 View
  4. 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
  5. Biviji R, Vest J, Dixon B, Cullen T, Harle C. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504 View
  6. Crossland N, Thomson G, Moran V. Embedding supportive parenting resources into maternity and early years care pathways: a mixed methods evaluation. BMC Pregnancy and Childbirth 2019;19(1) View
  7. van Dijk M, Oostingh E, Koster M, Willemsen S, Laven J, Steegers-Theunissen R. The use of the mHealth program Smarter Pregnancy in preconception care: rationale, study design and data collection of a randomized controlled trial. BMC Pregnancy and Childbirth 2017;17(1) View
  8. Munro S, Hui A, Salmons V, Solomon C, Gemmell E, Torabi N, Janssen P. SmartMom Text Messaging for Prenatal Education: A Qualitative Focus Group Study to Explore Canadian Women’s Perceptions. JMIR Public Health and Surveillance 2017;3(1):e7 View
  9. van Dijk M, Koster M, Willemsen S, Huijgen N, Laven J, Steegers-Theunissen R. Healthy preconception nutrition and lifestyle using personalized mobile health coaching is associated with enhanced pregnancy chance. Reproductive BioMedicine Online 2017;35(4):453 View
  10. van den Heuvel J, Groenhof T, Veerbeek J, van Solinge W, Lely A, Franx A, Bekker M. eHealth as the Next-Generation Perinatal Care: An Overview of the Literature. Journal of Medical Internet Research 2018;20(6):e202 View
  11. Karampela M, Ouhbi S, Isomursu M. Connected Health User Willingness to Share Personal Health Data: Questionnaire Study. Journal of Medical Internet Research 2019;21(11):e14537 View
  12. Vickery M, van Teijlingen E, Hundley V, Smith G, Way S, Westwood G. Midwives’ views towards women using mHealth and eHealth to self-monitor their pregnancy: A systematic review of the literature. European Journal of Midwifery 2020;4(September):1 View
  13. Leahy-Warren P, Newham J, Alderdice F. Perinatal social support: panacea or a pitfall. Journal of Reproductive and Infant Psychology 2018;36(3):219 View
  14. Mertens L, Braeken M, Bogaerts A. Effect of Lifestyle Coaching Including Telemonitoring and Telecoaching on Gestational Weight Gain and Postnatal Weight Loss: A Systematic Review. Telemedicine and e-Health 2019;25(10):889 View
  15. Odendaal W, Anstey Watkins J, Leon N, Goudge J, Griffiths F, Tomlinson M, Daniels K. Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2020 View
  16. Parsa S, Khajouei R, Baneshi M, Aali B. Improving the knowledge of pregnant women using a pre-eclampsia app: A controlled before and after study. International Journal of Medical Informatics 2019;125:86 View
  17. Willcox J, Wilkinson S, Lappas M, Ball K, Crawford D, McCarthy E, Fjeldsoe B, Whittaker R, Maddison R, Campbell K. A mobile health intervention promoting healthy gestational weight gain for women entering pregnancy at a high body mass index: the txt4two pilot randomised controlled trial. BJOG: An International Journal of Obstetrics & Gynaecology 2017;124(11):1718 View
  18. Lobo S, Lucas C, Herbert J, Townsend M, Smith M, Kunkler E, Charlton K. Nutrition information in pregnancy: Where do women seek advice and has this changed over time?. Nutrition & Dietetics 2020;77(3):382 View
  19. Uesugi K, Dattilo A, Black M, Saavedra J. Design of a Digital-Based, Multicomponent Nutrition Guidance System for Prevention of Early Childhood Obesity. Journal of Obesity 2016;2016:1 View
  20. Connor K, Wambach K, Baird M. Descriptive, Qualitative Study of Women Who Use Mobile Health Applications to Obtain Perinatal Health Information. Journal of Obstetric, Gynecologic & Neonatal Nursing 2018;47(6):728 View
  21. Hughson J, Daly J, Woodward-Kron R, Hajek J, Story D. The Rise of Pregnancy Apps and the Implications for Culturally and Linguistically Diverse Women: Narrative Review. JMIR mHealth and uHealth 2018;6(11):e189 View
  22. Willcox J, Dobson R, Whittaker R. Old-Fashioned Technology in the Era of “Bling”: Is There a Future for Text Messaging in Health Care?. Journal of Medical Internet Research 2019;21(12):e16630 View
  23. Willcox J, Chai D, Beilin L, Prescott S, Silva D, Neppe C, Huang R. Evaluating Engagement in a Digital and Dietetic Intervention Promoting Healthy Weight Gain in Pregnancy: Mixed Methods Study. Journal of Medical Internet Research 2020;22(6):e17845 View
  24. AlJaberi H. Social Interaction Needs and Entertainment Approaches to Pregnancy Well-Being in mHealth Technology Design for Low-Income Transmigrant Women: Qualitative Codesign Study. JMIR mHealth and uHealth 2018;6(4):e61 View
  25. Lim S, Tan A, Madden S, Hill B. Health Professionals' and Postpartum Women's Perspectives on Digital Health Interventions for Lifestyle Management in the Postpartum Period: A Systematic Review of Qualitative Studies. Frontiers in Endocrinology 2019;10 View
  26. Laws R, Litterbach E, Denney-Wilson E, Russell C, Taki S, Ong K, Elliott R, Lymer S, Campbell K. A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program. Journal of Medical Internet Research 2016;18(9):e248 View
  27. Zimmermann B, Fiske A, Prainsack B, Hangel N, McLennan S, Buyx A. Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study. Journal of Medical Internet Research 2021;23(2):e25525 View
  28. Nkyekyer J, Clifford S, Mensah F, Wang Y, Chiu L, Wake M. Maximizing Participant Engagement, Participation, and Retention in Cohort Studies Using Digital Methods: Rapid Review to Inform the Next Generation of Very Large Birth Cohorts. Journal of Medical Internet Research 2021;23(5):e23499 View
  29. Dadich A, Piper A, Coates D. Implementation science in maternity care: a scoping review. Implementation Science 2021;16(1) View
  30. Schoenaker D, de Jersey S, Willcox J, Francois M, Wilkinson S. Prevention of Gestational Diabetes: The Role of Dietary Intake, Physical Activity, and Weight before, during, and between Pregnancies. Seminars in Reproductive Medicine 2020;38(06):352 View
  31. Erdmann D. Telematik, Digitalisierung und die Bedeutung für die Hebammenarbeit. Die Hebamme 2021;34(02):22 View
  32. Oelmeier K, Schmitz R, Braun J, Möllers M, Klockenbusch W, Juhra C. Telemedizin in der Pränataldiagnostik in Zeiten der COVID-19-Pandemie: erste Erkenntnisse aus dem oVID-Projekt. Geburtshilfe und Frauenheilkunde 2021;81(05):522 View
  33. Martin-Key N, Spadaro B, Schei T, Bahn S. Proof-of-Concept Support for the Development and Implementation of a Digital Assessment for Perinatal Mental Health: Mixed Methods Study. Journal of Medical Internet Research 2021;23(6):e27132 View
  34. Balasoiu A, Olaru O, Sima R, Ples L. How Did Prenatal Education Impact Women’s Perception of Pregnancy and Postnatal Life in a Romanian Population. Medicina 2021;57(6):581 View

Books/Policy Documents

  1. de Moraes Lopes M, Ferreira D, Ferreira A, da Silva G, Caetano A, Braz V. Artificial Intelligence in Precision Health. View
  2. da Costa G, Stadnik A, Berardi R, de Souza R. XXVI Brazilian Congress on Biomedical Engineering. View