Publications

Authors: Sofia Sterner Isaksson, Henrik Imberg, Irl B Hirsch, Erik Schwarcz, Jarl Hellman, Magnus Wijkman, Jan Bolinder, Thomas Nyström, Helene Holmer, Sara Hallström, Arndís F Ólafsdóttir, Sofia Pekkari, William Polonsky, Marcus Lind ABSTRACT AIMS/HYPOTHESIS:  Previous studies have shown that individuals with similar mean glucose levels (MG) or percentage of time in range (TIR) may have different HbA1c values. The aim

Authors: Rachel S Newson, Erik Spaepen, Birong Liao, Julie Bower, Indranil Bhattacharya, Esther Artime, William Polonsky Abstract Background: The purpose of this study was to understand the healthcare provider (HCP) perspective on the extent of suboptimal insulin dosing in people with diabetes (PwD), as well as specific challenges and solutions to insulin management. Methods: An online survey of general practitioners

Authors: Frank J Snoek, Maria Teresa Anarte-Ortiz, Therese Anderbro, Katarzyna Cyranka, Christel Hendrieckx , Norbert Hermanns, Liliana Indelicato , Brian E McGuire, Andreia Mocan, Giesje Nefs, William H Polonsky, Rose Stewart , Michael Vallis Abstract Aims: Psychological care is recognised as an integral part of quality diabetes care. We set out to describe the roles and competencies of the clinical

Authors: Jane K Dickinson, Susan J Guzman, Jennalee S Wooldridge Abstract Purpose: Explore the emotional experience of people with diabetes as they encounter words and phrases that have been previously identified as problematic and evaluate potential differences in their emotional impact based on type of diabetes and demographic characteristics. Methods: A cross-sectional descriptive study employing an online survey of 107

Authors: Michael Vallis, Hana Ryan, Lori Berard, Emmanuel Cosson, Finn Boerlum Kristensen, Fleur Levrat-Guillen, Nicolas Naiditch, Remi Rabasa-Lhoret, William Polonsky Abstract Objectives: Motivation to adhere to clinical recommendations requires engagement, and the urgency to act is one of many factors that contribute to achieving glycemic benefits in people with type 2 diabetes (PwT2D). Continuous glucose monitoring (CGM) devices are associated

Authors: William H Polonsky, Addie L Fortmann, Emily C Soriano, Susan J Guzman, Martha M Funnell Abstract Background: The majority of individuals referred to diabetes self-management education and support (DSMES) programs do not access this resource. Of those who do, attrition is high, with anecdotal reports pointing to the didactic and impersonal nature of these programs contributing to low utilization

Authors: William H Polonsky, Korey K Hood, Carol J Levy, Sarah A MacLeish, Irl B Hirsch, Sue A Brown, Bruce W Bode, Anders L Carlson, Viral N Shah, Ruth S Weinstock, Anuj Bhargava, Thomas C Jones, Grazia Aleppo, Sanjeev N Mehta, Lori M Laffel, Gregory P Forlenza, Jennifer L Sherr, Lauren M Huyett, Todd E Vienneau, Trang T Ly, Omnipod

Authors: L Fisher, W H Polonsky, M Perez-Nieves, U Desai, L Strycker, D Hessler Abstract Aims: To establish cut-points and thresholds for elevated diabetes distress; document change over time; and define minimal clinically important differences (MCID) using the new Type 2 Diabetes Distress Assessment System (T2-DDAS). Methods: A national sample of adults with type 2 diabetes completed the T2-DDAS CORE

Authors: Emily C Soriano, William H Polonsky Abstract Background: To examine the impact of real-time continuous glucose monitoring (rtCGM) on psychosocial outcomes in adults with insulin-using type 2 diabetes (T2D). Methods: A total of 174 insulin-using adults with T2D completed questionnaires assessing diabetes distress, hypoglycemic confidence, hypoglycemic fear, device-related emotional burden, and device-related trust before and after a six-month trial

Authors: William H Polonsky, Emily C Soriano, Addie L Fortmann Abstract Background: To explore whether regularly reviewing one’s own retrospective continuous glucose monitoring (CGM) data might be linked with perceived quality of life (QoL) and glycemic benefits. Methods: Adults with type 1 diabetes (N = 300) or insulin-using type 2 diabetes (N = 198) using the Dexcom G5 Mobile or