Data-Driven Personalized Feedback to Patients with Type 1 Diabetes: A Randomized Trial
暂无分享,去创建一个
Eirik Årsand | Stein Olav Skrøvseth | Fred Godtliebsen | Ragnar M. Joakimsen | F. Godtliebsen | E. Årsand | R. Joakimsen | S. Skrøvseth
[1] M. Porta,et al. Quality of Life, Coping Ability, and Metabolic Control in Patients With Type 1 Diabetes Managed By Group Care and a Carbohydrate Counting Program , 2009, Diabetes Care.
[2] F. Godtliebsen,et al. Model-driven diabetes care: study protocol for a randomized controlled trial , 2013, Trials.
[3] Theodore Speroff,et al. Diabetes patient education: a meta-analysis and meta-regression. , 2004, Patient education and counseling.
[4] Giacomo Vespasiani,et al. Impact of the "Diabetes Interactive Diary" telemedicine system on metabolic control, risk of hypoglycemia, and quality of life: a randomized clinical trial in type 1 diabetes. , 2013, Diabetes technology & therapeutics.
[5] Alex J Sutton,et al. Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data , 2011, BMJ : British Medical Journal.
[6] Roshan Hewapathirana,et al. A review of telemedicine interventions in diabetes care , 2012, Journal of telemedicine and telecare.
[7] M. Ihnat,et al. ‘Glycaemic variability’: a new therapeutic challenge in diabetes and the critical care setting , 2010, Diabetic medicine : a journal of the British Diabetic Association.
[8] Xueli Yang,et al. Effect of mobile phone intervention for diabetes on glycaemic control: a meta‐analysis , 2011, Diabetic medicine : a journal of the British Diabetic Association.
[9] Frits Holleman,et al. Glucose variability; does it matter? , 2010, Endocrine reviews.
[10] W. Nilsen,et al. Health behavior models in the age of mobile interventions: are our theories up to the task? , 2011, Translational behavioral medicine.
[11] G. Hartvigsen,et al. Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines , 2011, Journal of medical Internet research.
[12] Matthew P. Wand,et al. Kernel Smoothing , 1995 .
[13] Gunnar Hartvigsen,et al. Mobile Health Applications to Assist Patients with Diabetes: Lessons Learned and Design Implications , 2012, Journal of diabetes science and technology.
[14] Johan Gustav Bellika,et al. Causality in Scale Space as an Approach to Change Detection , 2012, PloS one.
[15] A. Vambergue,et al. Telemedicine and type 1 diabetes: is technology per se sufficient to improve glycaemic control? , 2014, Diabetes & metabolism.
[16] Gunnar Hartvigsen,et al. Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetes. , 2012, Diabetes technology & therapeutics.
[17] S. Goyal,et al. Mobile phone health apps for diabetes management: Current evidence and future developments , 2013, QJM : monthly journal of the Association of Physicians.
[18] G. Charpentier,et al. The Diabeo Software Enabling Individualized Insulin Dose Adjustments CombinedWith Telemedicine Support Improves HbA 1 c in Poorly Controlled Type 1 Diabetic Patients A 6-month , randomized , open-label , parallel-group , multicenter trial ( TeleDiab 1 Study ) , 2011 .
[19] Kurt Hornik,et al. Exact Distributions for Rank and Permutation Tests , 2015 .
[20] Gunnar Hartvigsen,et al. Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes , 2013, JMIR mHealth and uHealth.
[21] A. Ribeiro,et al. Telemedicine Application in the Care of Diabetes Patients: Systematic Review and Meta-Analysis , 2013, PloS one.