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Objective: To estimate difference in population-level glycemic control and the emergence of diabetes complications given a theoretical scenario in which non-White youth and young adults (YYA) with type 1 diabetes (T1D) receive and follow an equivalent distribution of diabetes treatment regimens as non-Hispanic White YYA.Research Design and Methods: Longitudinal data from YYA diagnosed 2002-2005 in the SEARCH for Diabetes in Youth Study were analyzed. Based on self-reported race/ethnicity, YYA were classified as non-White race or Hispanic ethnicity (non-White subgroup) versus non-Hispanic White race (White subgroup). In the White versus non-White subgroups, the propensity score models estimated treatment regimens, including patterns of insulin modality, self-monitored glucose frequency, and continuous glucose monitoring use. An analysis based on policy evaluation techniques in reinforcement learning estimated the effect of each treatment regimen on mean hemoglobin A1c (HbA1c) and the prevalence of diabetes complications for non-White YYA.Results: The study included 978 YYA. The sample was 47.5% female and 77.5% non-Hispanic White, with a mean age of 12.8 ± 2.4 years at diagnosis. The estimated population mean of longitudinal average HbA1c over visits was 9.2% and 8.2% for the non-White and White subgroup, respectively (difference of 0.9%). Within the non-White subgroup, mean HbA1c across visits was estimated to decrease by 0.33% (95% CI -0.45, -0.21) if these YYA received the distribution of diabetes treatment regimens of the White subgroup, explaining ∼35% of the estimated difference between the two subgroups. The non-White subgroup was also estimated to have a lower risk of developing diabetic retinopathy, diabetic kidney disease, and peripheral neuropathy with the White youth treatment regimen distribution (P < 0.05), although the low proportion of YYA who developed complications limited statistical power for risk estimations.Conclusions: Mathematically modeling an equalized distribution of T1D self-management tools and technology accounted for part of but not all disparities in glycemic control between non-White and White YYA, underscoring the complexity of race and ethnicity-based health inequity. [ABSTRACT FROM AUTHOR]

The article focuses on the Nursing Now USA movement, which aimed to highlight the value of nurses in healthcare during and after the COVID-19 pandemic. Topics include nurse-led innovations in telehealth, interprofessional education, and advocacy, emphasizing the need for a diverse and inclusive approach to reshape healthcare systems and improve patient care, as outlined in three commissioned papers.

The article discusses the critical role of nursing in the face of the global COVID-19 pandemic and various social challenges, emphasizing the importance of nursing innovations and solutions. It introduces Nursing Now USA (NNUSA) and presents three commissioned papers focusing on nursing practice, education, and leadership innovations and these papers highlight the impact of nurse-led initiatives and provide valuable insights for the future of nursing research, practice, and scholarship.

An introduction is presented in which author discusses articles on topics including focuses on academic environments that are carefully designed to not allow things to move too quickly, to prevent us from challenging structures that have been in place for decades.

An introduction is presented in which author discusses articles on topics including focuses on language that is rich with words that classify and dichotomize people and their actions and considered social immune system is being dismantled and ignored.

The National Quality Forum uses the term "nurse-sensitive" care to describe health care quality that is influenced by nursing. Identifying this type of care requires useful data and development of measures. Establishing a case for nursing-sensitive performance measurement will facilitate a supportive climate for research and measure development. Interdisciplinary investigations will result in more adequate measures and wider acceptance of the measures in the provider community. This article summarizes existing data sources and recommendations for improving measures, data collection, and research on nurse-sensitive care.