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Citing this Article

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Published on 28.10.15 in Vol 3, No 4 (2015): Oct-Dec

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

Works citing "Views of Women and Health Professionals on mHealth Lifestyle Interventions in Pregnancy: A Qualitative Investigation"

Jane C Willcox, Paige van der Pligt, Kylie Ball, Shelley A Wilkinson, Martha Lappas, Elizabeth A McCarthy, Karen J Campbell

JMIR Mhealth Uhealth 2015 (Oct 28); 3(4):e99 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4869):

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

  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
    CrossRef
  2. Halili L, Liu R, Hutchinson KA, Semeniuk K, Redman LM, Adamo KB. 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)
    CrossRef
  3. Nagourney EM, Goodman D, Lam Y, Hurley KM, Henderson J, Surkan PJ. Obese women’s perceptions of weight gain during pregnancy: a theory-based analysis. Public Health Nutrition 2019;22(12):2228
    CrossRef
  4. Taki S, Russell CG, Wen LM, Laws RA, 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
    CrossRef
  5. Biviji R, Vest JR, Dixon BE, Cullen T, Harle CA. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504
    CrossRef
  6. Crossland N, Thomson G, Moran VH. Embedding supportive parenting resources into maternity and early years care pathways: a mixed methods evaluation. BMC Pregnancy and Childbirth 2019;19(1)
    CrossRef
  7. van Dijk MR, Oostingh EC, Koster MPH, Willemsen SP, Laven JSE, Steegers-Theunissen RPM. 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)
    CrossRef
  8. Munro S, Hui A, Salmons V, Solomon C, Gemmell E, Torabi N, Janssen PA. 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
    CrossRef
  9. van Dijk MR, Koster MP, Willemsen SP, Huijgen NA, Laven JS, Steegers-Theunissen RP. Healthy preconception nutrition and lifestyle using personalized mobile health coaching is associated with enhanced pregnancy chance. Reproductive BioMedicine Online 2017;35(4):453
    CrossRef
  10. van den Heuvel JF, Groenhof TK, Veerbeek JH, van Solinge WW, Lely AT, Franx A, Bekker MN. eHealth as the Next-Generation Perinatal Care: An Overview of the Literature. Journal of Medical Internet Research 2018;20(6):e202
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  14. Mertens L, Braeken MA, 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
    CrossRef
  15. Odendaal WA, 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;
    CrossRef
  16. Parsa S, Khajouei R, Baneshi MR, Aali BS. 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
    CrossRef
  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
    CrossRef
  18. Lobo S, Lucas CJ, Herbert JS, Townsend ML, Smith M, Kunkler E, Charlton KE. Nutrition information in pregnancy: Where do women seek advice and has this changed over time?. Nutrition & Dietetics 2020;77(3):382
    CrossRef
  19. Uesugi KH, Dattilo AM, Black MM, Saavedra JM. Design of a Digital-Based, Multicomponent Nutrition Guidance System for Prevention of Early Childhood Obesity. Journal of Obesity 2016;2016:1
    CrossRef
  20. Connor K, Wambach K, Baird MB. 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
    CrossRef
  21. Hughson JP, Daly JO, 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
    CrossRef
  22. Willcox JC, 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
    CrossRef
  23. Willcox JC, Chai D, Beilin LJ, Prescott SL, 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
    CrossRef
  24. . 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
    CrossRef
  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
    CrossRef
  26. Laws RA, Litterbach EV, Denney-Wilson EA, Russell CG, Taki S, Ong K, Elliott RM, Lymer SJ, Campbell KJ. 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
    CrossRef
  27. Zimmermann BM, 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
    CrossRef
  28. Nkyekyer J, Clifford SA, Mensah FK, 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
    CrossRef
  29. Dadich A, Piper A, Coates D. Implementation science in maternity care: a scoping review. Implementation Science 2021;16(1)
    CrossRef
  30. Schoenaker DA, de Jersey S, Willcox J, Francois ME, 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
    CrossRef
  31. . Telematik, Digitalisierung und die Bedeutung für die Hebammenarbeit. Die Hebamme 2021;34(02):22
    CrossRef
  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
    CrossRef
  33. Martin-Key NA, Spadaro B, Schei TS, 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
    CrossRef
  34. Balasoiu AM, Olaru OG, Sima RM, Ples L. How Did Prenatal Education Impact Women’s Perception of Pregnancy and Postnatal Life in a Romanian Population. Medicina 2021;57(6):581
    CrossRef
  35. Wit RF, Lucassen DA, Beulen YH, Faessen JPM, Bos-de Vos M, van Dongen JM, Feskens EJM, Wagemakers A, Brouwer-Brolsma EM. Midwives’ Experiences with and Perspectives on Online (Nutritional) Counselling and mHealth Applications for Pregnant Women; an Explorative Qualitative Study. International Journal of Environmental Research and Public Health 2021;18(13):6733
    CrossRef
  36. Gholami K, Norouzkhani N, Kargar M, Ghasemirad H, Ashtiani AJ, Kiani S, Sajedi Far M, Dianati M, Salimi Y, Khalaji A, Honari S, Deravi N. Impact of Educational Interventions on Knowledge About Hypertensive Disorders of Pregnancy Among Pregnant Women: A Systematic Review. Frontiers in Cardiovascular Medicine 2022;9
    CrossRef
  37. Li J, Silvera-Tawil D, Varnfield M, Hussain MS, Math V. Users’ Perceptions Toward mHealth Technologies for Health and Well-being Monitoring in Pregnancy Care: Qualitative Interview Study. JMIR Formative Research 2021;5(12):e28628
    CrossRef
  38. Rahmawati W, van der Pligt P, Worsley A, Willcox JC. Indonesian antenatal nutrition education: A qualitative study of healthcare professional views. Women's Health 2021;17:174550652110660
    CrossRef
  39. Karimi N, Opie R, Crawford D, O’Connell S, Hamblin PS, Steele C, Ball K. Participants’ and Health Care Providers’ Insights Regarding a Web-Based and Mobile-Delivered Healthy Eating Program for Disadvantaged People With Type 2 Diabetes: Descriptive Qualitative Study. JMIR Formative Research 2023;7:e37429
    CrossRef
  40. Chiarello DI, Pardo F, Moya J, Pino M, Rodríguez A, Araneda ME, Bertini A, Gutiérrez J. An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e44456
    CrossRef
  41. Kusyanti T, Wirakusumah FF, Rinawan FR, Muhith A, Purbasari A, Mawardi F, Puspitasari IW, Faza A, Stellata AG. Technology-Based (Mhealth) and Standard/Traditional Maternal Care for Pregnant Woman: A Systematic Literature Review. Healthcare 2022;10(7):1287
    CrossRef
  42. Hoch M, Meloncelli N, de Jersey S. Examining Enhanced Implementation of Routine Antenatal Care Practices to Support Healthy Pregnancy Weight Gain. Journal of Midwifery & Women's Health 2023;68(4):449
    CrossRef
  43. Wilkinson SA, Fjeldsoe B, Willcox JC. Evaluation of the Pragmatic Implementation of a Digital Health Intervention Promoting Healthy Nutrition, Physical Activity, and Gestational Weight Gain for Women Entering Pregnancy at a High Body Mass Index. Nutrients 2023;15(3):588
    CrossRef
  44. Umaefulam V, Premkumar K, Koole M. Perceptions on mobile health use for health education in an Indigenous population. DIGITAL HEALTH 2022;8:205520762210925
    CrossRef
  45. Oelmeier K, Schmitz R, Möllers M, Braun J, Deharde D, Sourouni M, Köster HA, Apsite G, Eveslage M, Fischhuber K, Storck M, Emming F, Wohlmann J, Juhra C. Satisfaction with and Feasibility of Prenatal Counseling via Telemedicine: A Prospective Cohort Study. Telemedicine and e-Health 2022;28(8):1193
    CrossRef
  46. Lau PWC, Wang JJ, Ransdell LL, Shi L. The effectiveness of Facebook as a social network intervention to increase physical activity in Chinese young adults. Frontiers in Public Health 2022;10
    CrossRef
  47. Cross A, Galesloot S, Tyminski S, Hoy D, Cahill N. Developing a Prenatal Nutrition Tool: A Process of Evidence, Collaboration, and Consultation. Canadian Journal of Dietetic Practice and Research 2022;83(1):41
    CrossRef
  48. Channon S, Coulman E, Cannings-John R, Henley J, Lau M, Lugg-Widger F, Strange H, Davies F, Sanders J, Scherf C, Couzens Z, Morantz L. Acceptability and feasibility of a planned preconception weight loss intervention in women with long-acting reversible contraception: the Plan-it mixed-methods study. Health Technology Assessment 2023;27(1):1
    CrossRef
  49. Beerli J, Ehlert U, Amiel Castro RT. Internet-based interventions for perinatal depression and anxiety symptoms: an ethnographic qualitative study exploring the views and opinions of midwives in Switzerland. BMC Primary Care 2022;23(1)
    CrossRef
  50. Nabovati E, Farzandipour M, Vahedpoor Z, Akbari H, Anvari S, Sharif R, Fatehi F. Pregnant women’s use and attitude toward Mobile phone features for self-management. BMC Medical Informatics and Decision Making 2023;23(1)
    CrossRef
  51. Mooney J, Dahl AA. Digital Self-Monitoring Tools for the Management of Gestational Weight Gain: Protocol for a Systematic Review. JMIR Research Protocols 2023;12:e50145
    CrossRef
  52. Moulaei K, Moulaei R, Bahaadinbeigy K. Barriers and facilitators of using health information technologies by women: a scoping review. BMC Medical Informatics and Decision Making 2023;23(1)
    CrossRef
  53. Meloncelli N, James S, Riggs K, de Jersey S. “Scaling out” evidence-informed antenatal care to support healthy pregnancy weight gain: a context assessment using the Consolidated Framework for Implementation Research. JBI Evidence Implementation 2023;21(3):259
    CrossRef
  54. Sabetrohani H, Koohpayehzadeh J, Sheikhtaheri A, Goli S, Keramat A, Skouteris H. Perspectives of Mothers and Providers regarding Virtual Care Approaches during Pregnancy in High and Low-Income Countries: A Meta-Synthesis on Qualitative Studies. Health & Social Care in the Community 2023;2023:1
    CrossRef
  55. Dai Y, Min H, Sun L, Wang X, Zhu C, Gu C. Assessing women's and health professionals' views on developing a midwifery‐led mobile health app intervention in pregnancy: A descriptive qualitative study. Journal of Advanced Nursing 2024;
    CrossRef
  56. Singhal M, Oyston C, Albahri AS. Telehealth and Technology for Diabetes in Pregnancy Clinics: Staff Perspectives from South Auckland, New Zealand. International Journal of Telemedicine and Applications 2024;2024:1
    CrossRef
  57. . Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies. Journal of Medical Internet Research 2024;26:e48493
    CrossRef
  58. Karim JL, Wan R, Tabet RS, Chiu DS, Talhouk A. Person-Generated Health Data in Women’s Health: Scoping Review (Preprint). Journal of Medical Internet Research 2023;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4869):

  1. de Moraes Lopes MHB, Ferreira DD, Ferreira ACBH, da Silva GR, Caetano AS, Braz VN. Artificial Intelligence in Precision Health. 2020. :465
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  2. da Costa GR, Stadnik AMW, Berardi RCG, de Souza RGM. XXVI Brazilian Congress on Biomedical Engineering. 2019. Chapter 119:773
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  3. Adusei-Mensah F, Oduro KJ, Ofosu-Budu D. Advancements in Bio-Medical Image Processing and Authentication in Telemedicine. 2023. chapter 15:299
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