Background Pediatric diabetes clinics around the world rapidly adapted care in response to COVID‐19. We explored provider perceptions of care delivery adaptations and challenges for providers and patients across nine international pediatric diabetes clinics. Methods Providers in a quality improvement collaborative completed a questionnaire about clinic adaptations, including roles, care delivery methods, and provider and patient concerns and challenges. We employed a rapid analysis to identify main themes. Results Providers described adaptations within multiple domains of care delivery, including provider roles and workload, clinical encounter and team meeting format, care delivery platforms, self‐management technology education, and patient‐provider data sharing. Providers reported concerns about potential negative impacts on patients from COVID‐19 and the clinical adaptations it required, including fears related to telemedicine efficacy, blood glucose and insulin pump/pen data sharing, and delayed care‐seeking. Particular concern was expressed about already vulnerable patients. Simultaneously, providers reported 'silver linings' of adaptations that they perceived as having potential to inform care and self‐management recommendations going forward, including time‐saving clinic processes, telemedicine, lifestyle changes compelled by COVID‐19, and improvements to family and clinic staff literacy around data sharing. Conclusions Providers across diverse clinical settings reported care delivery adaptations in response to COVID‐19—particularly telemedicine processes—created challenges and opportunities to improve care quality and patient health. To develop quality care during COVID‐19, providers emphasized the importance of generating evidence about which in‐person or telemedicine processes were most beneficial for specific care scenarios, and incorporating the unique care needs of the most vulnerable patients.
Introduction: Youth with type 1 diabetes (T1D) commonly do not meet HbA1c targets. Youth-directed goal setting as a strategy to improve HbA1c has not been well characterized and associations between specific goal focus areas and glycemic control remain unexplored. Objective: To inform future trials, this analysis characterized intended focus areas of youth self-directed goals and examined associations with change in HbA1c over a 18 months. Methods: We inductively coded counseling session data from youth in the Flexible Lifestyle Empowering Change Intervention (n = 122, 13-16 years, T1D duration >1 year, HbA1c 8-13%) to categorize intended goal focus areas and examine associations between frequency of goal focus areas selected by youth and change in HbA1c between first and last study visit. Results: We identified 13 focus areas that categorized youth goal intentions. Each session where youth goal setting concurrently incorporated blood glucose monitoring (BGM), continuous glucose monitoring (CGM), and insulin dosing was associated with a 0.4% (95% CI: −0.77, −0.01; P = .03) lower HbA1c at the end of intervention participation. No association was observed between HbA1c and frequency of sessions where goal intentions focused on BG only (without addressing insulin or CGM) (β:
Objective: To address a common perception that hypoglycemia is associated with increased dietary intake, we examined calorie and carbohydrate consumption on days with and without hypoglycemia among adolescents with type 1 diabetes (T1D). Methods: Days (N = 274) with 24-hour dietary recalls and continuous glucose monitoring were available for 122 adolescents with T1D in the Flexible Lifestyle Empowering Change trial (age 13-16 years, diabetes duration >1 year, hemoglobin A1c 8%-13%). Days with no hypoglycemia, clinical hypoglycemia (54-69 mg/dL) or clinically serious hypoglycemia (<54 mg/dL) were further split into night (12-5:59 AM) and day (6 AM-11:59 PM). Mixed models tested whether intake of calories or carbohydrates was greater on days with than without hypoglycemia. Results: Fifty-nine percent, 23% and 18% of days had no hypoglycemia, clinical hypoglycemia and clinically serious hypoglycemia, respectively. Intake of calories and carbohydrates was not statistically significantly different on days with clinical hypoglycemia (57.2 kcal [95% CI-126.7, 241.5]; 12.6 g carbohydrate [95% CI-12.7, 38.0]) or clinically serious hypoglycemia (−74.0 kcal [95% CI-285.9, 137.9]; (−7.8 g carbohydrate [95% CI-36.8, 21.1]), compared to days without hypoglycemia. Differences by day and night were not statistically significant. Conclusions: Among adolescents with T1D, daily intake of calories and carbohydrates did not differ on days with and without hypoglycemia. It is possible that hypoglycemic episodes caused by undereating relative to insulin dosing, followed by overeating, leading to a net neutral difference. Given the post-hoc nature of these analyses, larger studies should be designed to prospectively test the hypoglycemiadiet relationship.
Aims. To explore how changes in insulin regimen are associated with estimated adiposity over time among youths and young adults with type 1 diabetes and whether any associations differ according to sex. Materials and Methods. Longitudinal data were analyzed from youths and young adults with type 1 diabetes in the SEARCH for Diabetes in Youth study. Participants were classified according to insulin regimen categorized as exclusive pump (“pump only”), exclusive injections (“injections only”), injection-pump transition (“injections-pump”), or pump-injection transition (“pump-injections”) for each follow-up visit completed. Estimated body fat percentage (eBFP) was calculated using validated equations. Sex-specific, linear mixed effects models examined the relationship between the insulin regimen group and change in eBFP during follow-up, adjusted for baseline eBFP, baseline insulin regimen, time-varying insulin dose, sociodemographic factors, and baseline HbA1c (≥9.0% vs. <9.0%). Results. The final sample included 284 females and 304 males, of whom 80% were non-Hispanic white with mean diagnosis age of 12.7 ± 2.4 years. In fully adjusted models for females, exclusive pump use over the study duration was associated with significantly greater increases in eBFP compared to exclusive use of injections ( difference in rate of change = 0.023 % increase per month, 95 % CI = 0.01 , 0.04). Injection-to-pump transitions and pump-to-injection transitions were also associated with greater increases in eBFP compared to exclusive use of injections ( difference in rate of change = 0.02 % , 95 % CI = 0.004 , 0.03, and 0.02%; 95 % CI = 0.0001 , 0.04, respectively). There was no relationship between the insulin regimen and eBFP among males. Conclusions. Among females with type 1 diabetes, exclusive and partial pump use may have the unintended consequence of increasing adiposity over time compared to exclusive use of injections, independent of insulin dose.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.