Published on in Vol 5, No 1 (2018): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9049, first published .
Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review

Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review

Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review

Journals

  1. Wu X, Guo X, Zhang Z. The Efficacy of Mobile Phone Apps for Lifestyle Modification in Diabetes: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2019;7(1):e12297 View
  2. Rodrigues A, Melo A, Domingueti C. Association between reduced serum levels of magnesium and the presence of poor glycemic control and complications in type 1 diabetes mellitus: A systematic review and meta-analysis. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2020;14(2):127 View
  3. Lal R, Ekhlaspour L, Hood K, Buckingham B. Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes. Endocrine Reviews 2019;40(6):1521 View
  4. Kubiak T, Priesterroth L, Barnard‐Kelly K. Psychosocial aspects of diabetes technology. Diabetic Medicine 2020;37(3):448 View
  5. Benioudakis E. Perceptions in Type 1 Diabetes Mellitus with or Without the Use of Insulin Pump: An Online Study. Current Diabetes Reviews 2020;16(8):874 View
  6. Kamusheva M, Tachkov K, Dimitrova M, Mitkova Z, García-Sáez G, Hernando M, Goettsch W, Petrova G. A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care. Frontiers in Endocrinology 2021;12 View
  7. Surendran S, Lim C, Koh G, Yew T, Tai E, Foong P. Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study. International Journal of Environmental Research and Public Health 2021;18(12):6670 View
  8. Persson M, Leksell J, Ernersson Å, Rosenqvist U, Hörnsten Å. ‘Striving for freedom or remaining with what is well-known’: a focus-group study of self-management among people with type 1 diabetes who have suboptimal glycaemic control despite continuous subcutaneous insulin infusion. BMJ Open 2022;12(4):e057836 View
  9. Amiel S, Potts L, Goldsmith K, Jacob P, Smith E, Gonder-Frederick L, Heller S, Toschi E, Brooks A, Kariyawasam D, Choudhary P, Stadler M, Rogers H, Kendall M, Sevdalis N, Bakolis I, de Zoysa N. A parallel randomised controlled trial of the Hypoglycaemia Awareness Restoration Programme for adults with type 1 diabetes and problematic hypoglycaemia despite optimised self-care (HARPdoc). Nature Communications 2022;13(1) View
  10. Moody L, Wood E, Needham A, Booth A, Jimenez-Aranda A, Tindale W. Identifying individual enablers and barriers to the use of digital technology for the self-management of long-term conditions by older adults. Journal of Medical Engineering & Technology 2022;46(6):448 View
  11. Huhn F, Lange K, Jördening M, Ernst G. Real-World Use of Continuous Glucose Monitoring Systems Among Adolescents and Young Adults With Type 1 Diabetes: Reduced Burden, but Little Interest in Data Analysis. Journal of Diabetes Science and Technology 2023;17(4):943 View
  12. Chrysi M, Michopoulos I, Dimitriadis G, Peppa M. A modern web-based health promotion program for patients in Greece with diabetes 2 and obesity: an interventional study. BMC Public Health 2023;23(1) View
  13. O'Connor S, Cave L, Philips N. Informing nursing policy: An exploration of digital health research by nurses in England. International Journal of Medical Informatics 2024;185:105381 View