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

Use and User Demographics of mHealth (335) Mobile Health (mhealth) (2939) Demographics of Users, Social & Digital Divide (739)

Published on in Vol 3, No 1 (2015): Jan-Mar

Internet Use and Access Among Pregnant Women via Computer and Mobile Phone: Implications for Delivery of Perinatal Care

Internet Use and Access Among Pregnant Women via Computer and Mobile Phone: Implications for Delivery of Perinatal Care

Internet Use and Access Among Pregnant Women via Computer and Mobile Phone: Implications for Delivery of Perinatal Care

Authors of this article:

Rachel Peragallo Urrutia1 Author Orcid Image ;   Alexander A Berger2 Author Orcid Image ;   Amber A Ivins1 Author Orcid Image ;   Eugene Galileo Urrutia3 Author Orcid Image ;   A Jenna Beckham4 Author Orcid Image ;   John M Thorp Jr4 Author Orcid Image ;   Wanda K Nicholson4, 5 Author Orcid Image
Article Authors Cited by (42) Tweetations (13) Metrics

Journals

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  13. Vignato J, Landau E, Duffecy J, O’Hara M, Segre L. Using mobile health applications for the rapid recruitment of perinatal women. Archives of Women's Mental Health 2019;22(2):305 View
  14. Ginja S, Coad J, Bailey E, Kendall S, Goodenough T, Nightingale S, Smiddy J, Day C, Deave T, Lingam R. Associations between social support, mental wellbeing, self-efficacy and technology use in first-time antenatal women: data from the BaBBLeS cohort study. BMC Pregnancy and Childbirth 2018;18(1) View
  15. Goetz M, Schiele C, Müller M, Matthies L, Deutsch T, Spano C, Graf J, Zipfel S, Bauer A, Brucker S, Wallwiener M, Wallwiener S. Effects of a Brief Electronic Mindfulness-Based Intervention on Relieving Prenatal Depression and Anxiety in Hospitalized High-Risk Pregnant Women: Exploratory Pilot Study. Journal of Medical Internet Research 2020;22(8):e17593 View
  16. Osma J, Barrera A, Ramphos E. Are Pregnant and Postpartum Women Interested in Health-Related Apps? Implications for the Prevention of Perinatal Depression. Cyberpsychology, Behavior, and Social Networking 2016;19(6):412 View
  17. Lewis L, Barnes C, Allan J, Roberts L, Lube D, Hauck Y. Midwives’ perceptions of women’s mobile phone use and impact on care in birth suite. Midwifery 2019;76:142 View
  18. Leonard K, Evans M, Oravecz Z, Smyth J, Symons Downs D. Effect of Technology-Supported Interventions on Prenatal Gestational Weight Gain, Physical Activity, and Healthy Eating Behaviors: a Systematic Review and Meta-analysis. Journal of Technology in Behavioral Science 2021;6(1):25 View
  19. Kennedy R, Mullaney L, Reynolds C, Cawley S, McCartney D, Turner M. Preferences of women for web-based nutritional information in pregnancy. Public Health 2017;143:71 View
  20. Yadav G, Nagarkatti N, Rohondia S, Erfani H, Kilpatrick C, Turrentine M. Academic tweeting in #ObGyn. Where do we stand?. Journal of Perinatal Medicine 2019;47(8):867 View
  21. Hussain T, Smith P, Yee L. Mobile Phone–Based Behavioral Interventions in Pregnancy to Promote Maternal and Fetal Health in High-Income Countries: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e15111 View
  22. Urech C, Scherer S, Emmenegger M, Gaab J, Tschudin S, Hoesli I, Berger T, Alder J. Efficacy of an internet-based cognitive behavioral stress management training in women with idiopathic preterm labor: A randomized controlled intervention study. Journal of Psychosomatic Research 2017;103:140 View
  23. 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
  24. Lara-Cinisomo S, Ramirez Olarte A, Rosales M, Barrera A. A Systematic Review of Technology-Based Prevention and Treatment Interventions for Perinatal Depression and Anxiety in Latina and African American Women. Maternal and Child Health Journal 2021;25(2):268 View
  25. Makowsky M, Jones C, Davachi S. Prevalence and Predictors of Health-Related Internet and Digital Device Use in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Results From a 2014 Community-Based Survey. JMIR Public Health and Surveillance 2021;7(1):e20671 View
  26. Leziak K, Birch E, Jackson J, Strohbach A, Niznik C, Yee L. Identifying Mobile Health Technology Experiences and Preferences of Low-Income Pregnant Women with Diabetes. Journal of Diabetes Science and Technology 2021;15(5):1018 View
  27. Downs D, Savage J, Rivera D, Pauley A, Leonard K, Hohman E, Guo P, McNitt K, Stetter C, Kunselman A. Adaptive, behavioral intervention impact on weight gain, physical activity, energy intake, and motivational determinants: results of a feasibility trial in pregnant women with overweight/obesity. Journal of Behavioral Medicine 2021;44(5):605 View
  28. MALLI P, BERKİTEN ERGİN A. The Effect of Mobile Application Support for Postpartum Women on Postpartum Quality of Life. Clinical and Experimental Health Sciences 2021;11(2):242 View
  29. Maheshwari D, Kunycky C, Jia X, Tangada A, Leung K, Solomon E. Patient-Focused Websites Related to Postpartum Pelvic Floor Health: A DISCERN Quality Analysis. Female Pelvic Medicine & Reconstructive Surgery 2022;28(4):240 View
  30. Barrera A, Hamil J, Tandon D. Integrating SMS Text Messages Into a Preventive Intervention for Postpartum Depression Delivered via In-Home Visitation Programs: Feasibility and Acceptability Study. JMIR Formative Research 2021;5(11):e30995 View
  31. SEVEN B, UZUNLAR Ö, GÜVEN H, BİLGE E, KOKANALI M, MORALOĞLU TEKİN Ö. Covid 19 Pandemisi Sürecinde Online Gebe Bilgilendirme Eğitimi Etkinliğinin Değerlendirilmesi. Jinekoloji-Obstetrik ve Neonatoloji Tıp Dergisi 2022;19(2):1228 View
  32. Birch E, Leziak K, Jackson J, Dahl E, Niznik C, Yee L. Content Quality of YouTube Videos About Gestational Diabetes: Systematic Evaluation. JMIR Diabetes 2022;7(2):e30156 View
  33. DEMİRAĞ H, HİNTİSTAN S, DİNÇ M, FİDAN UÇAN M. Diyabetli Gebelerin İnternet Kullanımları ve İnternet Yoluyla Karar Alma Durumlarının İncelenmesi. Ege Üniversitesi Hemşirelik Fakültesi Dergisi 2023;39(3):333 View
  34. Mooney J, Dahl A. Digital Self-Monitoring Tools for the Management of Gestational Weight Gain: Protocol for a Systematic Review. JMIR Research Protocols 2023;12:e50145 View
  35. Rodriguez-Muñoz M, Kovacheva K, García-López H, Le H, Ruiz N, Olivares M, Izquierdo Mendez N, Coronado P. The healthy moms and babies app to prevent postpartum depression: analysis of user-profiles and dropout cases. Frontiers in Public Health 2023;11 View
  36. AMANAK K, ÜNAY V. Üçüncü trimester gebelerin doğuma yönelik endişeleri: Nitel bir çalışma. Mersin Üniversitesi Sağlık Bilimleri Dergisi 2020;13(3):348 View
  37. YILDIZ G, DAŞIKAN Z. GEBELİKTE KİLO YÖNETİMİ İÇİN AKILLI TELEFON KISA MESAJ GİRİŞİMLERİNİN KULLANIMI: DERLEME. Sağlık Bilimleri Dergisi 2023;32(3):418 View
  38. Wakelin K, McAra-Couper J, Fleming T. It’s About Getting the Balance Right: Midwives’ Experiences With Using Communication Technology With Pregnant Women/People. International Journal of Childbirth 2024;14(2):61 View
  39. Val A, Míguez M. Prenatal Telepsychological Intervention for Preventing Anxiety: A Study Protocol. Journal of Clinical Medicine 2024;13(19):5877 View
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Books/Policy Documents

  1. Franco P, Olhaberry M, Muzard A, Lara M, Cuijpers P. Prevention and Early Treatment of Depression Through the Life Course. View