Publications

Authors:   Polonsky, WH., Fisher, L., Hessler, D., Johnson, N. Abstract Background: Although the widespread prevalence of diabetes-related distress (DD) in adults with type 1 diabetes (T1D) has been well established, there has been little inquiry into the experiences of their spouse/partners. Therefore the goal of this study was to investigate the prevalence and sources of DD in the spouses

Authors: Fisher, L., Hessler, DM., Polonsky, WH., Masharani, U., Peters, AL., Blumer, I., Strycher, LA. Abstract Aims: To determine the prevalence of depression and diabetes distress in adults with Type 1 diabetes and the rate of false-positives when compared with rates of major depressive disorder. Methods: The sample consisted of 368 individuals with Type 1 diabetes, aged > 19 years. Individuals

Authors:  Polonsky, WH., Fisher, L., Hessler, D., Edelman, SV. Abstract Aims: To identify the hypoglycemic concerns of adults with type 2 diabetes (T2D) and examine how these concerns are associated with key patient characteristics. Methods: Qualitative interviews with 16 T2D adults and 11 diabetes care providers were conducted. Survey items were then developed and submitted to exploratory factor analyses (EFAs).

Authors:  Polonsky, WH., Fisher, L., Hessler, D., Edelman, SV. Abstract Background: Although many different types of insulin delivery devices are currently available, there is no well-accepted, validated method to assess patient satisfaction with these devices and their impact on quality of life and other patient-reported outcomes. To address this problem, we developed the Insulin Device Satisfaction Survey (IDSS) and herein

Authors:  Polonsky, WH., Fisher, L., Hessler, D., Edelman, SV. Abstract Background: Many different devices are available to patients to measure glucose levels, but there is no validated method to assess treatment satisfaction with glucose monitoring devices and its impact on quality of life and other patient-reported outcomes. To address this problem, we developed the Glucose Monitoring System Satisfaction Survey (GMSS).

Authors:  Polonsky, WH., Fisher, L. Abstract Providing behavioral, biomarker, or disease risk feedback to patients is a key component of most behavioral interventions in diabetes, but it remains unclear what is necessary for such feedback to be truly engaging and effective. We sought to identify how personalized health-related feedback is most effectively designed and delivered, and how feedback may be

Authors: Fisher, L., Polonsky, WH., Hessler, DM., Masharani, U., Blumer, I., Peters, AL., Strycher, LA., Bowyer, V. Abstract Aims: To identify the unique sources of diabetes distress (DD) for adults with type 1 diabetes (T1D). Methods: Sources of DD were developed from qualitative interviews with 25 T1D adults and 10 diabetes health care providers. Survey items were then developed and

Authors: Hessler, D., Fisher, L., Strycker, LA., Arean, PA., Bowyer, V. Abstract Aims: Diabetes regimen distress (RD) and depression are related constructs, however the nature of their relationship has not been explored over time, leading to difficulties differentiating between RD and depression and for selection of programs of care. We examined longitudinal associations between RD and depression to explicate the

Authors: Fisher, L. Gonzalez, JS. , Polonsky, WH. Abstract Studies have identified significant linkages between depression and diabetes, with depression associated with poor self-management behaviour, poor clinical outcomes and high rates of mortality. However, findings are not consistent across studies, yielding confusing and contradictory results about these relationships. We suggest that there has been a failure to define and measure

Authors:  Polonsky, WH. Fisher, L., Hessler, D., Edelman, SV. Abstract Aims: To identify patient-reported obstacles to self-monitoring of blood glucose among those with Type 2, both insulin users and non-insulin users, and to investigate how obstacles are associated with frequency of self-monitoring and use of self-monitoring data. Methods: Patients with Type 2 diabetes (n = 886, 65% insulin users) who attended