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Citing this Article

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Published on 04.10.17 in Vol 2, No 2 (2017): Jul-Dec

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

Works citing "Functionality, Implementation, Impact, and the Role of Health Literacy in Mobile Phone Apps for Gestational Diabetes: Scoping Review"

Qiong Chen, Elena T Carbone

JMIR Diabetes 2017 (Oct 04); 2(2):e25 

According to Crossref, the following articles are citing this article (DOI 10.2196/diabetes.8045):

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

  1. O'Reilly SL, Laws R. Health‐e mums: Evaluating a smartphone app design for diabetes prevention in women with previous gestational diabetes. Nutrition & Dietetics 2019;76(5):507
    CrossRef
  2. Akbar S, Coiera, E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. Journal of the American Medical Informatics Association 2020;27(2):330
    CrossRef
  3. Volanski W, Prado ALD, Al-Lahham Y, Teleginski A, Pereira FS, Alberton D, Rego FGDM, Valdameri G, Picheth G. d-GDM: A mobile diagnostic decision support system for gestational diabetes. Archives of Endocrinology and Metabolism 2019;
    CrossRef
  4. Su J, Dugas M, Guo X, Gao G. Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study. JMIR mHealth and uHealth 2020;8(8):e17709
    CrossRef
  5. Hewage S, Audimulam J, Sullivan E, Chi C, Yew TW, Yoong J. Barriers to Gestational Diabetes Management and Preferred Interventions for Women With Gestational Diabetes in Singapore: Mixed Methods Study. JMIR Formative Research 2020;4(6):e14486
    CrossRef
  6. Jing L, Dan Z, Huiqun W, Yanping L, Yang L, Xuan Y, Mengmou Z, Didong L. Mediating effects of body composition at the first trimester on the occurrence of GDM at the early stage of the third trimester during the advanced maternal age. International Journal of Diabetes in Developing Countries 2021;41(1):121
    CrossRef
  7. Greaves RF, Bernardini S, Ferrari M, Fortina P, Gouget B, Gruson D, Lang T, Loh TP, Morris HA, Park JY, Roessler M, Yin P, Kricka LJ. Key questions about the future of laboratory medicine in the next decade of the 21st century: A report from the IFCC-Emerging Technologies Division. Clinica Chimica Acta 2019;495:570
    CrossRef
  8. . Haben smartphonebasierte Apps einen Nutzen für Schwangere?. Info Diabetologie 2020;14(1):18
    CrossRef
  9. Tumminia A, Vitacolonna E, Sciacca L, Dodesini AR, Festa C, Lencioni C, Marcone T, Pintaudi B, Scavini M, Succurro E, Torlone E, Napoli A. “MySweetGestation”: A novel smartphone application for women with or at risk of diabetes during pregnancy. Diabetes Research and Clinical Practice 2019;158:107896
    CrossRef
  10. 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
  11. Yee LM, Leziak K, Jackson J, Strohbach A, Saber R, Niznik CM, Simon MA. Patient and Provider Perspectives on a Novel Mobile Health Intervention for Low-Income Pregnant Women With Gestational or Type 2 Diabetes Mellitus. Journal of Diabetes Science and Technology 2021;15(5):1121
    CrossRef
  12. Garnweidner-Holme L, Henriksen L, Torheim LE, Lukasse M. Effect of the Pregnant+ Smartphone App on the Dietary Behavior of Women With Gestational Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(11):e18614
    CrossRef
  13. Edwards KJ, Maslin K, Andrade J, Jones RB, Shawe J. mHealth as a primary mode of intervention for women at risk of, or diagnosed with, gestational diabetes: a scoping review protocol. JBI Evidence Synthesis 2021;19(3):660
    CrossRef
  14. Edwards KJ, Bradwell HL, Jones RB, Andrade J, Shawe JA. How do women with a history of gestational diabetes mellitus use mHealth during and after pregnancy? Qualitative exploration of women's views and experiences. Midwifery 2021;98:102995
    CrossRef
  15. Kim J, Chung C. Effects of nursing intervention programs for women with gestational diabetes: a systematic review of randomized controlled trials. Korean Journal of Women Health Nursing 2021;27(1):14
    CrossRef
  16. Karim JL, Talhouk A. Person-Generated Health Data in Women’s Health: Protocol for a Scoping Review. JMIR Research Protocols 2021;10(5):e26110
    CrossRef
  17. Eberle C, Loehnert M, Stichling S. Clinical Effectiveness of Different Technologies for Diabetes in Pregnancy: Systematic Literature Review. Journal of Medical Internet Research 2021;23(4):e24982
    CrossRef
  18. Brunelli L, De Vita C, Cenedese F, Cinello M, Paris M, Samogizio F, Starec A, Bava M, Dal Cin M, Zanchiello S, Stampalija T. Gaps and Future Challenges of Italian Apps for Pregnancy and Postnatal Care: Systematic Search on App Stores. Journal of Medical Internet Research 2021;23(8):e29151
    CrossRef
  19. Ekezie W, Dallosso H, Saravanan P, Khunti K, Hadjiconstantinou M. Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes. BMC Health Services Research 2021;21(1)
    CrossRef
  20. Eberle C, Loehnert M, Stichling S. Effectivness of specific mobile health applications (mHealth-apps) in gestational diabtetes mellitus: a systematic review. BMC Pregnancy and Childbirth 2021;21(1)
    CrossRef
  21. Edwards KJ, Maslin K, Andrade J, Jones RB, Shawe J. Mobile health as a primary mode of intervention for women at risk of or diagnosed with gestational diabetes mellitus: a scoping review. JBI Evidence Synthesis 2022;20(9):2195
    CrossRef
  22. Blair RA, Horn CE, Dias JM, McDonnell ME, Seely EW. Development and Usability of a Text Messaging Program for Women With Gestational Diabetes: Mixed Methods Study. JMIR Human Factors 2022;9(1):e32815
    CrossRef
  23. Wang H, Jiang Y, Wiley J, Ge L. Effectiveness of Smartphone-Based Lifestyle Interventions on Women with Gestational Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Psychology Research and Behavior Management 2022;Volume 15:3541
    CrossRef
  24. Kytö M, Koivusalo S, Ruonala A, Strömberg L, Tuomonen H, Heinonen S, Jacucci G. Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features. JMIR Human Factors 2022;9(4):e36987
    CrossRef
  25. Yu H, He J, Wang X, Yang W, Sun B, Szumilewicz A. A Comparison of Functional Features of Chinese and US Mobile Apps for Pregnancy and Postnatal Care: A Systematic App Store Search and Content Analysis. Frontiers in Public Health 2022;10
    CrossRef
  26. Kalhori SRN, Hemmat M, Noori T, Heydarian S, Katigari MR. Quality Evaluation of English Mobile Applications for Gestational Diabetes: App Review using Mobile Application Rating Scale (MARS). Current Diabetes Reviews 2021;17(2):161
    CrossRef
  27. Sobri NHM, Ismail IZ, Hassan F, Papachristou Nadal I, Forbes A, Ching SM, Ali H, Goldsmith K, Murphy H, Guess N, Mohd Yusof BN, Basri NI, Salim MS, Azmiyaty C, Mohd Sa'id II, Chew BH, Ismail K. Protocol for a qualitative study exploring the perception of need, importance and acceptability of a digital diabetes prevention intervention for women with gestational diabetes mellitus during and after pregnancy in Malaysia (Explore-MYGODDESS). BMJ Open 2021;11(8):e044878
    CrossRef
  28. Birati Y, Yefet E, Perlitz Y, Shehadeh N, Spitzer S. Cultural and Digital Health Literacy Appropriateness of App- and Web-Based Systems Designed for Pregnant Women With Gestational Diabetes Mellitus: Scoping Review. Journal of Medical Internet Research 2022;24(10):e37844
    CrossRef
  29. YILDIZ G, DAŞIKAN Z. GEBELİKTE KİLO YÖNETİMİ İÇİN AKILLI TELEFON KISA MESAJ GİRİŞİMLERİNİN KULLANIMI: DERLEME. Sağlık Bilimleri Dergisi 2023;32(3):418
    CrossRef
  30. Shanmugavel A, Shakya PR, Shrestha A, Nepal J, Shrestha A, Daneault J, Rawal S. Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study. JMIR Formative Research 2024;8:e50823
    CrossRef
  31. ERDEM D, YARDIMCI F, YILMAZ HB, BUHUR A. The relationship between the preferences of the oral glucose screening test and the levels of health literacy and perinatal anxiety of pregnancy. Journal of Medicine and Palliative Care 2023;4(1):51
    CrossRef
  32. Lu HY, Ding X, Hirst JE, Yang Y, Yang J, Mackillop L, Clifton DA. Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes. IEEE Reviews in Biomedical Engineering 2024;17:98
    CrossRef