Literature DB >> 29356074

Diabetes technology: improving care, improving patient-reported outcomes and preventing complications in young people with Type 1 diabetes.

P Prahalad1, M Tanenbaum1, K Hood1, D M Maahs1.   

Abstract

With the evolution of diabetes technology, those living with Type 1 diabetes are given a wider arsenal of tools with which to achieve glycaemic control and improve patient-reported outcomes. Furthermore, the use of these technologies may help reduce the risk of acute complications, such as severe hypoglycaemia and diabetic ketoacidosis, as well as long-term macro- and microvascular complications. In addition, diabetes technology can have a beneficial impact on psychosocial health by reducing the burden of diabetes. Unfortunately, diabetes goals are often unmet and people with Type 1 diabetes too frequently experience acute and long-term complications of this condition, in addition to often having less than ideal psychosocial outcomes. Increasing realization of the importance of patient-reported outcomes is leading to diabetes care delivery becoming more patient-centred. Diabetes technology in the form of medical devices, digital health and big data analytics have the potential to improve clinical care and psychosocial support, resulting in lower rates of acute and chronic complications, decreased burden of diabetes care, and improved quality of life.
© 2018 Diabetes UK.

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Year:  2018        PMID: 29356074     DOI: 10.1111/dme.13588

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  28 in total

1.  Advances in Care for Insulin-Requiring Patients Without Closed Loop.

Authors:  Rayhan A Lal; Bruce Buckingham; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2018-06       Impact factor: 6.118

2.  Hemoglobin A1c Trajectory in Pediatric Patients with Newly Diagnosed Type 1 Diabetes.

Authors:  Priya Prahalad; Jaden Yang; David Scheinker; Manisha Desai; Korey Hood; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2019-06-10       Impact factor: 6.118

3.  COVID-19 and Diabetes: Could Diabetes Technology Research Help Pave the Way for Remote Healthcare?

Authors:  Julia Fuchs; Roman Hovorka
Journal:  J Diabetes Sci Technol       Date:  2020-05-30

4.  Suicide and Self-inflicted Injury in Diabetes: A Balancing Act.

Authors:  Katharine D Barnard-Kelly; Diana Naranjo; Shideh Majidi; Halis K Akturk; Marc Breton; Philippe Courtet; Emilie Olié; Rayhan A Lal; Nicole Johnson; Eric Renard
Journal:  J Diabetes Sci Technol       Date:  2019-12-04

Review 5.  Advancements and future directions in the teamwork, targets, technology, and tight control-the 4T study: improving clinical outcomes in newly diagnosed pediatric type 1 diabetes.

Authors:  Dessi P Zaharieva; Franziska K Bishop; David M Maahs
Journal:  Curr Opin Pediatr       Date:  2022-08-01       Impact factor: 2.893

Review 6.  Diabetes technologies - what the general physician needs to know.

Authors:  Adrian Li; Sufyan Hussain
Journal:  Clin Med (Lond)       Date:  2020-09       Impact factor: 2.659

7.  The 'flash' adhesive study: a randomized crossover trial using an additional adhesive patch to prolong freestyle libre sensor life among youth with type 1 diabetes mellitus.

Authors:  Brooke L Marsters; Sara E Boucher; Barbara C Galland; Michel de Lange; Esko J Wiltshire; Martin I de Bock; Mona M Elbalshy; Paul A Tomlinson; Jenny Rayns; Karen E MacKenzie; Huan Chan; Benjamin J Wheeler
Journal:  Acta Diabetol       Date:  2020-06-09       Impact factor: 4.280

8.  Adjustment of Insulin Pump Settings in Type 1 Diabetes Management: Advisor Pro Device Compared to Physicians' Recommendations.

Authors:  Revital Nimri; Tal Oron; Ido Muller; Ivana Kraljevic; Montserrat Martín Alonso; Paivi Keskinen; Tanja Milicic; Asaf Oren; Athanasios Christoforidis; Marieke den Brinker; Lutgarda Bozzetto; Andrea Mario Bolla; Michal Krcma; Rosa Anna Rabini; Shadi Tabba; Lizl Smith; Andriani Vazeou; Giulio Maltoni; Elisa Giani; Eran Atlas; Moshe Phillip
Journal:  J Diabetes Sci Technol       Date:  2020-10-26

9.  Frequency of Diabetic Ketoacidosis in Patients with Type 1 Diabetes Using FreeStyle Libre: A Retrospective Chart Review.

Authors:  Ayman A Al Hayek; Mohamed A Al Dawish
Journal:  Adv Ther       Date:  2021-05-19       Impact factor: 3.845

10.  Development and Validation of a Simple and Sensitive LC-MS/MS Method for Quantification of Metformin in Dried Blood Spot Its Application as an Indicator for Medication Adherence.

Authors:  Bushra T ALquadeib; Nouf M Aloudah; Alanood S Almurshedi; Iman M ALfagih; Basmah N ALdosari; Adim S ALmeleky; Nour M Almubyedh
Journal:  Int J Gen Med       Date:  2021-07-08
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