Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 24.04.18 in Vol 6, No 4 (2018): April

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

Works citing "The Usability and Effectiveness of Mobile Health Technology–Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.8834):

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

  1. Griauzde DH, Kieffer EC, Domoff SE, Hess K, Feinstein S, Frank A, Pike D, Pesch MH. The influence of social media on child feeding practices and beliefs among Hispanic mothers: A mixed methods study. Eating Behaviors 2020;36:101361
    CrossRef
  2. Bland C, Dalrymple KV, White SL, Moore A, Poston L, Flynn AC. Smartphone applications available to pregnant women in the United Kingdom: An assessment of nutritional information. Maternal & Child Nutrition 2020;16(2)
    CrossRef
  3. van den Heuvel JFM, Teunis CJ, Franx A, Crombag NMTH, Bekker MN. Home-based telemonitoring versus hospital admission in high risk pregnancies: a qualitative study on women’s experiences. BMC Pregnancy and Childbirth 2020;20(1)
    CrossRef
  4. Shrestha R, Lim SH, Altice FL, Copenhaver M, Wickersham JA, Saifi R, Ab Halim MA, Naning H, Kamarulzaman A. Use of Smartphone to Seek Sexual Health Information Online Among Malaysian Men Who Have Sex with Men (MSM): Implications for mHealth Intervention to Increase HIV Testing and Reduce HIV Risks. Journal of Community Health 2020;45(1):10
    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. Cawley C, Buckenmeyer H, Jellison T, Rinaldi JB, Vartanian KB. Effect of a Health System–Sponsored Mobile App on Perinatal Health Behaviors: Retrospective Cohort Study. JMIR mHealth and uHealth 2020;8(7):e17183
    CrossRef
  7. Laureij LT, Breunis LJ, Steegers-Theunissen RPM, Rosman AN. Identifying the Needs for a Web-Based Postpartum Platform Among Parents of Newborns and Health Care Professionals: Qualitative Focus Group Study. JMIR Formative Research 2020;4(5):e16202
    CrossRef
  8. Oostingh EC, Koster MP, van Dijk MR, Willemsen SP, Broekmans FJ, Hoek A, Goddijn M, Klijn NF, van Santbrink EJ, Steegers EA, Laven JS, Steegers-Theunissen RP. First effective mHealth nutrition and lifestyle coaching program for subfertile couples undergoing in vitro fertilization treatment: a single-blinded multicenter randomized controlled trial. Fertility and Sterility 2020;
    CrossRef
  9. Rau NM, Hasan K, Ahamed SI, Asan O, Flynn KE, Basir MA. Designing a tablet-based prematurity education app for parents hospitalized for preterm birth. International Journal of Medical Informatics 2020;141:104200
    CrossRef
  10. Vander Wyst KB, Buman MP, Shaibi GQ, Petrov ME, Reifsnider E, Whisner CM. Resting Energy Expenditure Relationship with Macronutrients and Gestational Weight Gain: A Pilot Study. Nutrients 2020;12(2):450
    CrossRef
  11. Bernard S, Boucher S, McLean L, Moffet H. Mobile technologies for the conservative self-management of urinary incontinence: a systematic scoping review. International Urogynecology Journal 2020;31(6):1163
    CrossRef
  12. Lucas R, Zhang Y, Walsh SJ, Evans H, Young E, Starkweather A. Efficacy of a Breastfeeding Pain Self-Management Intervention. Nursing Research 2019;68(2):E1
    CrossRef
  13. Shcherbina A, Hershman SG, Lazzeroni L, King AC, O'Sullivan JW, Hekler E, Moayedi Y, Pavlovic A, Waggott D, Sharma A, Yeung A, Christle JW, Wheeler MT, McConnell MV, Harrington RA, Ashley EA. The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study. The Lancet Digital Health 2019;1(7):e344
    CrossRef
  14. Wang Y, Li M, Zhao X, Pan X, Lu M, Lu J, Hu Y. Effects of continuous care for patients with type 2 diabetes using mobile health application: A randomised controlled trial. The International Journal of Health Planning and Management 2019;34(3):1025
    CrossRef
  15. Gootjes DV, van Dijk MR, Koster MP, Willemsen SP, Steegers EA, Steegers-Theunissen RP. Neighborhood Deprivation and the Effectiveness of Mobile Health Coaching to Improve Periconceptional Nutrition and Lifestyle in Women: Survey in a Large Urban Municipality in the Netherlands. JMIR mHealth and uHealth 2019;7(4):e11664
    CrossRef
  16. Chan KL, Chen M. Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis. JMIR mHealth and uHealth 2019;7(1):e11836
    CrossRef
  17. Brown HM, Bucher T, Collins CE, Rollo ME. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information . Maternal & Child Nutrition 2019;15(3)
    CrossRef
  18. Hussain T, Smith P, Yee L. Smartphone-based Behavioral Interventions in Pregnancy to Promote Maternal and Fetal Health in Developed Countries: A Systematic Review (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  19. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2019;:101301
    CrossRef
  20. Reijnders IF, Mulders AGMGJ, van der Windt M, Steegers EAP, Steegers-Theunissen RPM. The impact of periconceptional maternal lifestyle on clinical features and biomarkers of placental development and function: a systematic review. Human Reproduction Update 2019;25(1):72
    CrossRef
  21. Soh JY, Lee SU, Lee I, Yoon KS, Song C, Kim NH, Sohn TS, Bae JM, Chang DK, Cha WC. A Mobile Phone–Based Self-Monitoring Tool for Perioperative Gastric Cancer Patients With Incentive Spirometer: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e12204
    CrossRef
  22. Morales J, Inupakutika D, Kaghyan S, Akopian D, Yin Z, Evans M, Parra-Medina D. Technology-based health promotion: Current state and perspectives in emerging gig economy. Biocybernetics and Biomedical Engineering 2019;39(3):825
    CrossRef
  23. van Beukering M, Velu A, van den Berg L, Kok M, Mol BW, Frings-Dresen M, de Leeuw R, van der Post J, Peute L. Usability and Usefulness of a Mobile Health App for Pregnancy-Related Work Advice: Mixed-Methods Approach. JMIR mHealth and uHealth 2019;7(5):e11442
    CrossRef
  24. Wang N, Deng Z, Wen LM, Ding Y, He G. Understanding the Use of Smartphone Apps for Health Information Among Pregnant Chinese Women: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(6):e12631
    CrossRef
  25. Arkwright BT, Leslie M, Light M. Telehealth Finance Variables and Successful Business Models. Telehealth and Medicine Today 2019;3
    CrossRef
  26. Tiffany B, Blasi P, Catz SL, McClure JB. Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis. JMIR mHealth and uHealth 2018;6(9):e11432
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.8834)

:
  1. Isabell K, Sandra D. Technology and Health. 2020. :179
    CrossRef