Published on in Vol 18, No 11 (2016): November

Preconception Care Education for Women With Diabetes: A Systematic Review of Conventional and Digital Health Interventions

Preconception Care Education for Women With Diabetes: A Systematic Review of Conventional and Digital Health Interventions

Preconception Care Education for Women With Diabetes: A Systematic Review of Conventional and Digital Health Interventions

Journals

  1. van Dijk M, Koster M, Oostingh E, Willemsen S, Steegers E, Steegers-Theunissen R. A Mobile App Lifestyle Intervention to Improve Healthy Nutrition in Women Before and During Early Pregnancy: Single-Center Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(5):e15773 View
  2. McCarthy E, Williamson R, Shub A. Pregnancy outcomes for women with pre‐pregnancy diabetes mellitus in Australian populations, rural and metropolitan: A review. Australian and New Zealand Journal of Obstetrics and Gynaecology 2019;59(2):183 View
  3. Van Dijk M, Koster M, Rosman A, Steegers-Theunissen R. Opportunities of mHealth in Preconception Care: Preferences and Experiences of Patients and Health Care Providers and Other Involved Professionals. JMIR mHealth and uHealth 2017;5(8):e123 View
  4. Kuwabara A, Su S, Krauss J. Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine. American Journal of Lifestyle Medicine 2020;14(2):137 View
  5. Tarasoff L, Lunsky Y, Chen S, Guttmann A, Havercamp S, Parish S, Vigod S, Carty A, Brown H. Preconception Health Characteristics of Women with Disabilities in Ontario: A Population-Based, Cross-Sectional Study. Journal of Women's Health 2020;29(12):1564 View
  6. Mellon M, Schiller A, Nelson A, Stohl H. Awareness of Pregnancy-Associated Health Risks Among Pregnant Women and Male Partners Surveyed in a Prenatal Clinic. Journal of Women's Health 2020;29(3):376 View
  7. Marshall C, Britton L. Delivering family planning and preconception care to women with diabetes: Implementation challenges and promising strategies. Healthcare 2020;8(1):100386 View
  8. Nwolise C, Carey N, Shawe J. Exploratory study of clinician and patient views regarding the use of a preconception care app for women with diabetes. Health Informatics Journal 2020;26(4):2673 View
  9. Nwolise C, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3:205520761772641 View
  10. Lowery C. What Is Digital Health and What Do I Need to Know About It?. Obstetrics and Gynecology Clinics of North America 2020;47(2):215 View
  11. Z. I. I, C. J. N, P. Y. L, N. H, Kiguli J. Factors influencing pregnancy planning of multi-ethnic Asian women with diabetes: A qualitative study. PLOS ONE 2020;15(12):e0242690 View
  12. 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
  13. Figueroa C, Luo T, Aguilera A, Lyles C. The need for feminist intersectionality in digital health. The Lancet Digital Health 2021;3(8):e526 View
  14. Withanage N, Botfield J, Srinivasan S, Black K, Mazza D. Effectiveness of preconception interventions in primary care: a systematic review. British Journal of General Practice 2022;72(725):e865 View
  15. Nwolise C, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446 View
  16. Withanage N, Botfield J, Srinivasan S, Black K, Mazza D. Effectiveness of preconception care interventions in primary care: a systematic review protocol. BJGP Open 2022;6(2):BJGPO.2021.0191 View
  17. Blewitt C, Savaglio M, Madden S, Meechan D, O’Connor A, Skouteris H, Hill B. Using Intervention Mapping to Develop a Workplace Digital Health Intervention for Preconception, Pregnant, and Postpartum Women: The Health in Planning, Pregnancy and Postpartum (HiPPP) Portal. International Journal of Environmental Research and Public Health 2022;19(22):15078 View
  18. Ibrahim M, Mohamed Yusoff H, Abu Bakar Y, Thwe Aung M, Abas M, Ramli R. Digital health for quality healthcare: A systematic mapping of review studies. DIGITAL HEALTH 2022;8:205520762210858 View
  19. Nisa H, Barsbay F. Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review. Nurse Media Journal of Nursing 2022;12(1):133 View
  20. Britton L, Arcia A, Kaur G, Sontan O, Marshall C, George M. “A patient should not have to ask”: Women’s experiences of patient education about preconception care for type 2 diabetes. Patient Education and Counseling 2023;112:107739 View
  21. McDowell J, Mehar S, Chandok R, Watson W. Digital enabled learning for people with diabetes post COVID‐19 pandemic. Practical Diabetes 2023;40(5):29 View
  22. Katada C, Ohashi K, Okada K, Sawai H. Preconception education program for non-invasive prenatal testing focused on interest in genetics among female university students in Japan: a quasi-experimental study comparing pre-intervention, post-intervention, and three-month follow-up results. Archives of Public Health 2023;81(1) View
  23. Brammall B, Garad R, Teede H, Harrison C. Evaluating Preconception Health and Behaviour Change in Australian Women Planning a Pregnancy: The OptimalMe Program, a Digital Healthy Lifestyle Intervention with Remotely Delivered Coaching. Nutrients 2024;16(1):155 View
  24. Yerkenova S, Lokshin V, Saduakassova S, Zhabchenko I, Damulina D, BayanImasheva B. Preconception care to improve pregnancy outcomes in COVID-19 survival Women: A systematic review. Research Journal of Pharmacy and Technology 2023:5485 View
  25. Brammall B, Garad R, Teede H, Baker S, Harrison C. OptimalMe Program: A Mixed Method Investigation into the Engagement and Acceptability of a Preconception Digital Health Lifestyle Intervention with Individual Coaching for Women’s Health and Behaviour Change. Nutrients 2024;16(5):572 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. Nigdelis M, Goulis D. Comprehensive Clinical Approach to Diabetes During Pregnancy. View