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

User-centred Design Case Studies (599) Diabetes Self-Management (495) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1425) Apps, Mobile, Wearables for Diabetes (306) Behavior Change (721) mHealth for Wellness, Behavior Change and Prevention (2919) Design and Usability of Consumer Health Tech and Home Monitoring Devices (225) Design and Formative Evaluation of Mobile Apps (703) Usability of Apps and User Perceptions of mHealth (991)

Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36987, first published .
Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features

Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features

Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features

Authors of this article:

Mikko Kytö1, 2 Author Orcid Image ;   Saila Koivusalo3, 4, 5, 6 Author Orcid Image ;   Antti Ruonala2 Author Orcid Image ;   Lisbeth Strömberg2 Author Orcid Image ;   Heli Tuomonen2 Author Orcid Image ;   Seppo Heinonen3, 4 Author Orcid Image ;   Giulio Jacucci2 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

Journals

  1. Kytö M, Markussen L, Marttinen P, Jacucci G, Niinistö S, Virtanen S, Korhonen T, Sievänen H, Vähä-Ypyä H, Korhonen I, Heinonen S, Koivusalo S. Comprehensive self-tracking of blood glucose and lifestyle with a mobile application in the management of gestational diabetes: a study protocol for a randomised controlled trial (eMOM GDM study). BMJ Open 2022;12(11):e066292 View
  2. Kytö M, Koivusalo S, Tuomonen H, Strömberg L, Ruonala A, Marttinen P, Heinonen S, Jacucci G. Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors. JMIR Diabetes 2023;8:e43979 View
  3. Xu N, Han X, Chen S, Zhang J, Gu P. Self‐reported barriers in self‐management of women with gestational diabetes: A systematic review of qualitative studies. Nursing Open 2023;10(11):7130 View
  4. Safiee L, Rough D, George P, Mudenha R. Baseline Perceptions of Women With Gestational Diabetes Mellitus and Health Care Professionals About Digital Gestational Diabetes Mellitus Self-Management Health Care Technologies: Interview Study Among Patients and Health Care Professionals. JMIR Human Factors 2023;10:e51691 View
  5. McGovern L, O'Toole L, Houshialsadat Z, O'Reilly S. Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta‐synthesis. Obesity Reviews 2024;25(8) View
  6. Yu J, Kim O, Kang B, Lee S, Lee Y, Hwang H, Lee S, Kim S, Choi Y, Ko H. Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  7. Hotta S, Kytö M, Koivusalo S, Heinonen S, Marttinen P, Nunes E. Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data. PLOS ONE 2024;19(8):e0298506 View
  8. Druye A, Owusu G, Yeboa N, Boso C, Berchie G, Nabe B, Abraham S, Nsatimba F, Agyare D, Agyeiwaa J, Opoku-Danso R, Okantey C, Ofori G, Kagbo J, Obeng P, Amoadu M, Azu T. Self-management interventions for gestational diabetes in Africa: a scoping review. BMC Pregnancy and Childbirth 2024;24(1) View