Dinneen, Sean F

Abstract Aim This study aims to assess the treatment burden and health‐related quality of life (HRQoL) in young adults with type 1 diabetes (T1D). Methods Online survey on experienced treatment burden (Treatment Burden Questionnaire, TBQ, 0–150, higher scores indicate higher burden) and HRQoL (Type 1 Diabetes and Life questionnaire for ages 18–25 and 26–45, T1DAL, 0–100, higher scores indicate better HRQoL) among Dutch young adults with T1D (aged 18–30). Results In total, 294 young adults with T1D completed the survey. Mean TBQ score was 59.5 (SD = 24.9). Regular medical care reminding participants of their health problems scored highest. Mean T1DAL scores were 55.9 (SD = 12.9) for ages 18–25, and 62.1 (SD = 13.2) for ages 26–30. Lowest scores were in the subcategory ‘Emotional experiences and daily activities’ (18–25: median = 41.7, IQR = 24.9; 26–30: median = 47.8, IQR = 22.5). TBQ was strongly negatively correlated with T1DAL ( r = −0.69, 95% CI [−0.74, −0.62], p < 0.001). Characteristics associated with higher treatment burden and lower HRQoL included female gender, lower time in range and dissatisfaction with diabetes management approach. Conclusion Young adults with T1D report considerable treatment burden and moderate HRQoL, suggesting a high impact of diabetes care on their lives. Treatment burden is particularly affected by regular medical care activities, whereas diabetes affects the daily functioning and emotional experiences domains of HRQoL. Further research is needed to understand how young adults make care fit and to improve care for these patients, resulting in minimally disruptive care plans. While cautiously interpreted, this may be especially relevant for women and those with adverse clinical outcomes.

Abstract Aim This study aimed to identify what young adults with type 1 diabetes (T1D) do to make diabetes care fit in their lives and the impact of diabetes and diabetes care on living. Methods Dutch young adults with T1D (18–30 years old) submitted photographed real‐life situations of efforts to make care fit and of the impact of care on their lives. Participants organised their photos in themes, which guided the focus group discussions. We added a reflective questionnaire, semi‐structured interview and iterative validation to identify participant‐defined themes and summarise the data. Results Participants ( N = 18) submitted 240 photographs in total, showing a broad range of situations and emotions. Participants identified 16 themes, grouped into four overarching categories describing their experiences with diabetes: (1) My diabetes: glucose levels, workload, 24/7 present; (2) My life: flow of (daily) life, special and irregular circumstances, life changes, body and health; (3) Support: devices and technology, social network, clinical (diabetes) care; (4) Mental aspects: emotional processes, perspective, being a patient. In the overlap of My diabetes and My life, they identified eating and counting carbohydrates, activity and exercise, recreational substances. Conclusion Young adults with T1D face the complex challenge of fitting their care into their ever‐changing lives. While support systems, such as devices, healthcare professionals and social networks can help, they can also create burdens. Participants emphasised the importance of mental health in their lives with T1D. This study highlights the need for diabetes care that acknowledges the emotional, social and practical realities of young adults' lives.

AbstractYoung adults living with type 1 diabetes often struggle to achieve what clinicians consider to be optimal levels of metabolic control. Despite the impact that this can have on a young person's future risk of complications, there are relatively few studies reporting new ways of organizing or delivering care to this cohort. In this article, we explore some of the reasons why young adult diabetes care is challenging, and describe approaches to “re‐imagining” how care might be improved. The work is informed by the ‘Making Care Fit’ collaborative and by a program of research, entitled D1 Now, involving co‐design of a complex person‐centered intervention with young adults.

OBJECTIVE—The Mayo Health System Diabetes Translation Project sought to assess models of community-based diabetes care and use of a diabetes electronic management system (DEMS). Planned care is a redesigned model of chronic disease care that involves guideline implementation, support of self-management, and use of clinical information systems. RESEARCH DESIGN AND METHODS—We studied adult diabetic patients attending three primary care practice sites in Wisconsin and Minnesota. We implemented planned care at all sites and DEMS in the practice of 16 primary care providers. We assessed quality of diabetes care using standard indicators for 200 patients randomly selected from each site at baseline and at 24 months of implementation. We used multivariable analyses to estimate the association between planned care and DEMS and each quality indicator. RESULTS—Planned care was associated with improvements in measurement of HbA1c (odds ratio 7.0 [95% CI 4.2–11.6]), HDL cholesterol (5.6 [4.1–7.5]), and microalbuminuria (5.3 [3.5–8.0]), as well as the provision of tobacco advice (6.9 [4.7–10.1]), among other performance measures. DEMS use was associated with improvements in all indicators, including microalbuminuria (3.2 [1.9–5.2]), retinal examination (2.4 [1.5–3.9]), foot examinations (2.3 [1.2–4.4]), and self-management support (2.6 [1.7–3.8]). Although planned care was associated with improvements in metabolic control, we observed no additional metabolic benefit when providers used DEMS. CONCLUSIONS—Planned care was associated with improved performance and metabolic outcomes in primary care. DEMS use augmented the impact of planned care on performance outcomes but not on metabolic outcomes. Optimal identification of the best translation of evidence to diabetes practice will require longer follow-up or new care-delivery models.

OBJECTIVE To compare the compliance with diabetes care performance indicators by diabetes specialists using a diabetes electronic management system (DEMS) and by those using the traditional paper medical record. RESEARCH DESIGN AND METHODS A DEMS has been gradually introduced into our subspecialty practice for diabetes care. To assess the value of this DEMS as a disease management tool, we completed a retrospective review of the medical records of 82 randomly selected patients attending a subspecialty diabetes clinic (DC) during the first quarter of 1996. Eligible patients were defined by the suggested criteria from the American Diabetes Association Provider Recognition Program. During the first quarter of 1996, ∼ one half of the providers began using the DEMS for some but not all of their patient encounters. Neither abstractors nor providers were aware of the intent to examine performance in relationship to use of the DEMS. RESULTS Several measures were positively influenced when providers used the DEMS. The number of foot examinations, the number of blood pressure readings, and a weighted criterion score were greater (P &lt; 0.01) for providers using the DEMS. There was evidence, although not statistically significant, for lower mean diastolic blood pressures (P = 0.043) in patients and for number of glycated hemoglobins documented (P = 0.018) by users of the DEMS. CONCLUSIONS Performance and documentation of the process of care for patients with diabetes in a subspecialty clinic are greater with the use of a DEMS than with the traditional paper record.