Dataset Information

Health care transition in patients with type 1 diabetes: young adult experiences and relationship to glycemic control.

ABSTRACT:

Objective

To examine characteristics of the transition from pediatric to adult care in emerging adults with type 1 diabetes and evaluate associations between transition characteristics and glycemic control.

Research design and methods

We developed and mailed a survey to evaluate the transition process in emerging adults with type 1 diabetes, aged 22 to 30 years, receiving adult diabetes care at a single center. Current A1C data were obtained from the medical record.

Results

The response rate was 53% (258 of 484 eligible). The mean transition age was 19.5 ± 2.9 years, and 34% reported a gap >6 months in establishing adult care. Common reasons for transition included feeling too old (44%), pediatric provider suggestion (41%), and college (33%). Less than half received an adult provider recommendation and <15% reported having a transition preparation visit or receiving written transition materials. The most recent A1C was 8.1 ± 1.3%. Respondents who felt mostly/completely prepared for transition had lower likelihood of a gap >6 months between pediatric and adult care (adjusted odds ratio 0.47 [95% CI 0.25-0.88]). In multivariate analysis, pretransition A1C (? = 0.49, P < 0.0001), current age (? = -0.07, P = 0.03), and education (? = -0.55, P = 0.01) significantly influenced current posttransition A1C. There was no independent association of transition preparation with posttransition A1C (? = -0.17, P = 0.28).

Conclusions

Contemporary transition practices may help prevent gaps between pediatric and adult care but do not appear to promote improvements in A1C. More robust preparation strategies and handoffs between pediatric and adult care should be evaluated.

SUBMITTER: Garvey KC

PROVIDER: S-EPMC3402251 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature

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Publications

Health care transition in patients with type 1 diabetes: young adult experiences and relationship to glycemic control.

Garvey Katharine C KC Wolpert Howard A HA Rhodes Erinn T ET Laffel Lori M LM Kleinman Ken K Beste Margaret G MG Wolfsdorf Joseph I JI Finkelstein Jonathan A JA

Diabetes care 20120614 8

<h4>Objective</h4>To examine characteristics of the transition from pediatric to adult care in emerging adults with type 1 diabetes and evaluate associations between transition characteristics and glycemic control.<h4>Research design and methods</h4>We developed and mailed a survey to evaluate the transition process in emerging adults with type 1 diabetes, aged 22 to 30 years, receiving adult diabetes care at a single center. Current A1C data were obtained from the medical record.<h4>Results</h4 ...[more]

PMID: 22699289

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Project description:Background & aimsAcute hyperglycemia delays gastric emptying in patients with diabetes. However, it is not clear whether improved control of glycemia affects gastric emptying in these patients. We investigated whether overnight and short-term (6 mo) improvements in control of glycemia affect gastric emptying.MethodsWe studied 30 patients with poorly controlled type 2 diabetes (level of glycosylated hemoglobin, >9%). We measured gastric emptying using the [(13)C]-Spirulina platensis breath test on the patients' first visit (visit 1), after overnight administration of insulin or saline, 1 week later (visit 2), and 6 months after intensive therapy for diabetes. We also measured fasting and postprandial plasma levels of C-peptide, glucagon-like peptide 1, and amylin, as well as autonomic functions.ResultsAt visit 1, gastric emptying was normal in 10 patients, delayed in 14, and accelerated in 6; 6 patients had gastrointestinal symptoms; vagal dysfunction was associated with delayed gastric emptying (P < .05). Higher fasting blood levels of glucose were associated with shorter half-times of gastric emptying (thalf) at visits 1 (r = -0.46; P = .01) and 2 (r = -0.43; P = .02). Although blood levels of glucose were lower after administration of insulin (132 ± 7 mg/dL) than saline (211 ± 15 mg/dL; P = .0002), gastric emptying thalf was not lower after administration of insulin, compared with saline. After 6 months of intensive therapy, levels of glycosylated hemoglobin decreased from 10.6% ± 0.3% to 9% ± 0.4% (P = .0003), but gastric emptying thalf did not change (92 ± 8 min before, 92 ± 7 min after). Gastric emptying did not correlate with plasma levels of glucagon-like peptide 1 and amylin.ConclusionsTwo-thirds of patients with poorly controlled type 2 diabetes have mostly asymptomatic yet abnormal gastric emptying. Higher fasting blood levels of glucose are associated with faster gastric emptying. Overnight and sustained (6 mo) improvements in glycemic control do not affect gastric emptying.

Project description:ImportanceYouth-onset type 2 diabetes is associated with poor glycemic control and early onset of complications. Identification of psychosocial factors associated with poor glycemic control is needed to inform efficacious interventions.ObjectiveTo identify psychosocial factors associated with glycated hemoglobin (HbA1c) levels in young adults with youth-onset type 2 diabetes.Design, setting, and participantsFor the iCount cohort study, HbA1c levels were measured twice (at baseline [T1] and at 1 year [T2]) during the last years (2017-2019) of the observational phase of the multicenter Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY2) study. Participants were young adults who had been diagnosed with type 2 diabetes during childhood or adolescence. Data were analyzed from December 2021 to September 2023.Main outcomes and measuresGlycemic control was examined categorically (high [≥8.0%] vs low [<8.0%] HbA1c), continuously (HbA1c level), and over time (change in HbA1c: decreased ≥0.5%, remained stable, or increased ≥0.5%). Psychosocial measures included beliefs about medicines, depression and anxiety symptoms, diabetes distress, diabetes self-efficacy, self-management support, and unmet material needs. Multivariable logistic and linear regression models evaluated the association of each psychosocial factor with the probability of T2 HbA1c of 8.0% or greater, T2 HbA1c level, and change in HbA1c.ResultsOf the 411 TODAY2 participants approached, 381 enrolled in the iCount study, and 348 with T1 and T2 HbA1c data comprised the analysis group. The 348 participants had a mean (SD) age of 26.1 (2.5) years and a mean (SD) HbA1c of 9.4% (2.8%). Most participants (229 [65.8%]) were women. In adjusted multivariable regressions, greater beliefs that diabetes medicines are necessary (odds ratio [OR], 1.19 [95% CI, 1.03-1.37]; P = .02), concerns about medicines (OR, 1.20 [95% CI, 1.00-1.45]; P = .049), diabetes distress (OR, 1.08 [95% CI, 1.02-1.15]; P = .006), and high distress (OR, 2.18 [95% CI, 1.15-4.13]; P = .02) increased the odds of high HbA1c at T2. Greater support (OR, 0.67 [95% CI, 0.46-0.97]; P = .04) and diabetes self-efficacy (OR, 0.91 [95% CI, 0.84-0.99]; P = .02) decreased the odds of high HbA1c at T2. Diabetes distress was associated with higher HbA1c level at T2 (coefficient, 0.08 [95% CI, 0.02-0.13]; P = .01). Beliefs that diabetes medicines are necessary (OR, 1.20 [95% CI, 1.03-1.39]; P = .02) and concerns about medicines (OR, 1.22 [95% CI, 1.00-1.47]; P = .048) increased the odds of an HbA1c decrease of at least 0.5% over 1 year.Conclusions and relevanceIn this cohort study of young adults with youth-onset type 2 diabetes, beliefs about medicines, high diabetes distress, low diabetes self-efficacy, and self-management support were associated with high HbA1c over time. Future research should assess whether interventions that address these factors result in improved glycemic control in this at-risk group.

Dataset Information

Health care transition in patients with type 1 diabetes: young adult experiences and relationship to glycemic control.

Objective

Research design and methods

Results

Conclusions

Publications

Health care transition in patients with type 1 diabetes: young adult experiences and relationship to glycemic control.

Similar Datasets

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