Published on 08.11.16 in Vol 18, No 11 (2016): November
Works citing "Preconception Care Education for Women With Diabetes: A Systematic Review of Conventional and Digital Health Interventions"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5615):
(note that this is only a small subset of citations)
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van Dijk MR, Koster MPH, Oostingh EC, Willemsen SP, Steegers EAP, Steegers-Theunissen RPM. 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
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McCarthy EA, 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
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Van Dijk MR, Koster MP, Rosman AN, Steegers-Theunissen RP. 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
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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
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Tarasoff LA, Lunsky Y, Chen S, Guttmann A, Havercamp SM, Parish SL, Vigod SN, Carty A, Brown HK. Preconception Health Characteristics of Women with Disabilities in Ontario: A Population-Based, Cross-Sectional Study. Journal of Women's Health 2020;29(12):1564
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Mellon M, Schiller A, Nelson AL, Stohl HE. 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
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Marshall C, Britton L. Delivering family planning and preconception care to women with diabetes: Implementation challenges and promising strategies. Healthcare 2020;8(1):100386
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Nwolise CH, 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
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Nwolise CH, 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
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. What Is Digital Health and What Do I Need to Know About It?. Obstetrics and Gynecology Clinics of North America 2020;47(2):215
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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
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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
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Figueroa CA, Luo T, Aguilera A, Lyles CR. The need for feminist intersectionality in digital health. The Lancet Digital Health 2021;3(8):e526
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Withanage NN, Botfield JR, Srinivasan S, Black KI, Mazza D. Effectiveness of preconception interventions in primary care: a systematic review. British Journal of General Practice 2022;72(725):e865
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Nwolise CH, 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
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Withanage NN, Botfield JR, Srinivasan S, Black KI, Mazza D. Effectiveness of preconception care interventions in primary care: a systematic review protocol. BJGP Open 2022;6(2):BJGPO.2021.0191
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Blewitt C, Savaglio M, Madden SK, 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
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Ibrahim MS, Mohamed Yusoff H, Abu Bakar YI, Thwe Aung MM, Abas MI, Ramli RA. Digital health for quality healthcare: A systematic mapping of review studies. DIGITAL HEALTH 2022;8:205520762210858
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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
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Britton LE, Arcia A, Kaur G, Sontan O, Marshall CJ, 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
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McDowell JR, Mehar S, Chandok RS, Watson WA. Digital enabled learning for people with diabetes post COVID‐19 pandemic. Practical Diabetes 2023;40(5):29
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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)
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Brammall BR, Garad RM, Teede HJ, Harrison CL. 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
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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
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Brammall BR, Garad RM, Teede HJ, Baker SE, Harrison CL. 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
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5615):