9 research outputs found

    The Impact of Climate Change on People Living with Diabetes: A Scoping Review

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    Objective: There is substantial literature detailing the interaction between climate change and diabetes incidence, prevalence, and development. However, there is limited understanding on the impact of climate change on People Living with Diabetes (PWD). This scoping review describes the impact of climate change on morbidity and mortality for PWD.Materials and methods: The scoping review was conducted between November 2022 and February 2023, using articles published in PubMed Central and Google Scholar databases. Articles published from 1970 to 2022 with the following key terms “diabetes”, “type 1 diabetes”, “type 2 diabetes”, “climate change”, “global warming”, and “natural disaster” were reviewed. Results: A total of 13,838 articles were identified and reviewed. After applying the review criteria, 42 applicable articles were included in the scoping review. PWD are impacted directly by climate change-induced events including extreme temperatures, air pollution, and natural disasters. Difficulty in storing insulin, maintaining special diets, and accessing diabetes supplies are indirect results of the climate crisis on people with diabetes leading to adverse outcomessuch as increased risk of hospitalizations, morbidity, and mortality. Conclusions: Environmental hazards due to climate change increase morbidity and mortality for PWD. Policies that address the interconnection between the two phenomena would improve global diabetes population health. Future research should explore potential solutions to addressing this crisis across multiple populations and settings

    Differences in COVID-19 Outcomes Among Patients With Type 1 Diabetes: First vs Later Surges

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    Background Outcomes of the novel coronavirus SARS-CoV-2 (COVID-19) have improved throughout the pandemic. However, whether outcomes of COVID-19 in the type 1 diabetes (T1D) population improved over time is unknown. Therefore, we aim to investigate differences in COVID-19 outcomes for patients with T1D in the US. Method We analyzed data collected via a registry of patients with T1D and COVID-19 from 56 sites between April 2020 and January 2021. First, we grouped cases into First Surge (04/09/2020 - 07/31/2020, n=188) and Late Surge (08/01/2020 - 01/31/2021, n=410). Then, we compared outcomes between both groups using descriptive statistics and logistic regression models. Results Adverse outcomes were more frequent during the first surge including Diabetic Ketoacidosis (32% versus 15%, p<0.001), severe hypoglycemia (4% versus 1%, p=0.04) and hospitalization (52% versus 22%, p<0.001). The First surge cases were older (28 +/- 18.8 years versus 18.8 +/- 11.1 years, p<0.001), had higher hemoglobin A1c (HbA1c) levels (Median (IQR): 9.3 (4.0) versus 8.4(2.8), <0.001) and use public insurance (n(%): 107 (57) versus 154 (38), p <0.001). There were five times increased odds of hospitalization for adults (OR 5.01 (2.11,12.63) in the first surge compared to the late surge. Conclusion COVID-19 cases among patients with T1D reported during the first surge had a higher proportion of adverse outcomes than those presented in a later surge

    <b>Increasing Continuous Glucose Monitoring Use for Non-Hispanic Black and Hispanic People With Type 1 Diabetes: Results From the T1D Exchange Quality Improvement Collaborative Equity Study</b>

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    Despite the benefits of continuous glucose monitoring (CGM), there is lower use of this technology among Non-Hispanic Black and Hispanic people with type 1 diabetes compared to their non-Hispanic White counterparts. The T1D Exchange Quality Improvement Collaborative recruited five endocrinology centers to pilot an equity-focused quality improvement (QI) study to reduce racial inequities in CGM use. The centers used rapid QI cycles to test and expand interventions such as provider bias training, translation of CGM materials, provision of CGM education in multiple languages, screening for social determinants of health, and shared decision-making. After implementation of these interventions, median CGM use increased by 7% in non-Hispanic White, 12% in non-Hispanic Black, and 15% in Hispanic people with type 1 diabetes. The gap between non-Hispanic White and non-Hispanic Black patients decreased by 5%, and the gap between non-Hispanic White and Hispanic patients decreased by 8%.</p

    Making Diabetes Electronic Medical Record Data Actionable: Promoting Benchmarking and Population Health Improvement Using the T1D Exchange Quality Improvement Portal

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       This article describes how the T1D Exchange Quality Improvement Collaborative leverages an innovative web platform, the QI Portal, to gather and store electronic medical record (EMR) data to promote benchmarking and population health improvement in a type 1 diabetes learning health system. The authors explain the value of the QI Portal, the process for mapping center-level data from EMRs using standardized data specifications, and the QI Portal’s unique features for advancing population health.</p
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