ISPAD Clinical Practice Consensus Guidelines 2022: The delivery of ambulatory diabetes care to children and adolescents with diabetes

Evaluating usability of and satisfaction with mHealth app in rural and remote areas-Germany GIZ collaboration in Bosnia-Herzegovina to optimize type 1 diabetes care

Background

Type 1 diabetes mellitus (T1DM) management in children and adolescents requires intensive supervision and monitoring to prevent acute and late diabetes complications and to improve quality of life. Digital health interventions, in particular diabetes mobile health apps (mHealth apps) can facilitate specialized T1DM care in this population. This study evaluated the initial usability of and satisfaction with the m-Health intervention Diabetes: M app, and the ease of use of various app features in supporting T1DM care in rural and remote areas of Bosnia-Herzegovina with limited access to specialized diabetes care.

Methods

This cross-sectional study, performed in February-March 2023, evaluated T1DM pediatric patients who used the Diabetes: M app in a 3-month mHealth-based T1DM management program, along with their parents and healthcare providers (HCPs). All participants completed self-administered online questionnaires at the end of the 3-month period. Data were analyzed by descriptive statistics.

Results

The study population included 50 T1DM patients (children/parents and adolescents) and nine HCPs. The mean ± SD age of the T1DM patients was 14 ± 4.54 years, with 26 (52%) being female. The mean ± SD age of the HCPs was 43.4 ± 7.76 years; all (100%) were women, with a mean ± SD professional experience of 17.8 ± 8.81 years. The app was reported usable in the domains of ease-of-use and satisfaction by the T1DM children/parents (5.82/7.0), T1DM adolescents/young adults (5.68/7.0), and HCPs (5.22/7.0). Various app features, as well as the overall app experience, were rated positively by the participants.

Conclusion

The results strongly support the usability of mHealth-based interventions in T1DM care, especially in overcoming care shortage and improving diabetes management and communications between HCPs and patients. Further studies are needed to compare the effectiveness of apps used to support T1DM management with routine care.

Children and adolescents with type 1 diabetes in Aotearoa New Zealand: An online survey of workforce and outcomes 2021

AIMS

To survey the national workforce that manages children and adolescents with type 1 diabetes (T1D) in Aotearoa New Zealand and compare with glycaemic outcomes for 2021.

METHODS

A representative from each tertiary and regional diabetes service in Aotearoa New Zealand was asked to participate in an online survey assessing health-care professional (HCP) workforce numbers operating for the 2021 calendar year. Regional full-time-equivalent (FTE), glycaemic outcomes and population demographics were compared to a previously reported workforce surveys (2015 and 2019).

RESULTS

Seventeen sites responded - including all four large tertiary centres - serving >99% of children and adolescents with T1D in Aotearoa New Zealand. HCP resourcing varied across sites, with median (range) HCP/100 patient ratios of: doctors: 0.40 (0.16-1.11), nurses: 1.19 (0.29-5.56), dietitians: 0.25 (0-1.11) and psychologist/social workers: 0 (0-0.26). No site met all of the International Society of Paediatric and Adolescent Diabetes (ISPAD) recommendations of HCP/100 patient ratios. Measures of socio-economic deprivation predicted HbA1c, rather than the diabetes clinic attended. Overall, only 15.1% (240/1585) of patients had an HbA1c less than the recommended 53 mmol/mol.

CONCLUSIONS

The Aotearoa New Zealand workforce for children and adolescents with T1D is under-resourced and no site meets the ISPAD recommendations. There has been no significant increase in HCP/100 patient ratios compared to previous workforce surveys over the last decade. Few children and adolescents with T1D meet the recommended HbA1c. Resourcing according to recommended clinical need is required if equity in outcomes for young people with T1D is to be addressed.

Real-Life Achievements of MiniMed 780G Advanced Closed-Loop System in Youth with Type 1 Diabetes: AWeSoMe Study Group Multicenter Prospective Trial

Background: We assessed real-life glycemic outcomes and predictors of composite measures of optimal glycemic control in children and adolescents with type 1 diabetes (T1D) during their initial 12 months of the MiniMed™ 780G use. Methods: This prospective observational multicenter study collected demographic, clinical, and 2-week 780G system data at five time points. Optimal glycemic control was defined as a composite glycemic control (CGC) score requiring the attainment of four recommended continuous glucose monitoring (CGM) targets, as well as the glycemia risk index (GRI) of hypoglycemia and hyperglycemia and composite CGM index (COGI). Outcome measures included longitudinal changes in multiple glycemic parameters and CGC, GRI, and COGI scores, as well as predictors of these optimal measures. Results: The cohort included 93 children, 43% girls, with a median age of 15.1 years (interquartile range [IQR] 12.9,17.0). A longitudinal analysis adjusted for age and socioeconomic index yielded a significant improvement in glycemic control for the entire cohort (ptime < 0.001) after the transition to 780G. The mean hemoglobin A1c (HbA1c) (SE) was 8.65% (0.12) at baseline and dropped by >1% after 1 year to 7.54% (0.14) (ptime < 0.001). Optimal glycemic control measures improved at 12 months post 780G; CGC improved by 5.6-fold (P < 0.001) and was attained by 24% of the participants, the GRI score improved by 10-fold (P = 0.009) and was achieved by 10% of them, and the COGI improved by 7.6-fold (P < 0.001) and was attained by 20% of them. Lower baseline HbA1c levels and increased adherence to Advanced Hybrid Closed-Loop (AHCL) usage were predictors of achieving optimal glycemic control. Conclusions: The AHCL 780G system enhances glycemic control in children and adolescents with T1D, demonstrating improvements in HbA1c and CGM metrics, albeit most participants did not achieve optimal glycemic control. This highlights yet ongoing challenges in diabetes management, emphasizing the need for continued proactive efforts on the part of health care professionals, youth, and caregivers.

Effectiveness of switching from first-generation basal insulin to Glargine 300 U/mL in children and adolescents with type 1 diabetes: results from the ISPED CARD database

AIMS

Glargine 300 U/mL (Gla-300) has been recently approved for use in children and adolescents with type 1 diabetes (T1D). However, real-world effectiveness data are scarce, and aim of this analysis was to assess clinical outcomes in young patients with T1D switching from 1st generation basal insulin (1BI) to Gla-300.

METHODS

ISPED CARD is a retrospective, multicenter study, based on data anonymously extracted from Electronic Medical Records. The study involved a network of 20 pediatric diabetes centers. Data on all patients aged < 18 years with T1D switching from 1BI to Gla-300 were analyzed to assess clinical characteristics at the switch and changes after 6 and 12 months in glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and standardized body mass index (BMI/SDS). Titration of basal and short-acting insulin doses was also evaluated.

RESULTS

Overall, 200 patients were identified. The mean age at the switch to Gla-300 was 13 years, and mean duration of diabetes was 3.9 years. Average HbA1c levels at switch were 8.8%. After 6 months, HbA1c levels decreased by - 0.88% (95% CI - 1.28; - 0.48; p < 0.0001). The benefit was maintained after 12 months from the switch (mean reduction of HbA1c levels - 0.80%, 95% CI - 1.25; - 0.35, p = 0.0006). Trends of reduction in FBG levels were also evidenced both at 6 months and 12 months. No significant changes in short-acting and basal insulin doses were documented.

CONCLUSIONS

The study provides the first real-world evidence of the effectiveness of Gla-300 in children and adolescents with T1D previously treated with 1BI. The benefits in terms of HbA1c levels reduction were substantial, and sustained after 12 months. Additional benefits can be expected by improving the titration of insulin doses.

Does size matter? Hospital volume and resource use in paediatric diabetes care

AIMS

Paediatric diabetes care has become increasingly specialised due to the multidisciplinary approach and technological developments. Guidelines recommend sufficient experience of treatment teams. This study evaluates associations between hospital volume and resource use and hospital expenditure in Dutch children with diabetes.

METHODS

Retrospective cohort study using hospital claims data of 5082 children treated across 44 Dutch hospitals (2019-2020). Hospitals were categorised into three categories; small (≥20-100 patients), medium (≥100-200 patients) and large (≥200 patients). All-cause hospitalisations, consultations, technology and hospital expenditure were analysed and adjusted for age, sex, socio-economic status (SES) and hospital of treatment.

RESULTS

Fewer hospitalisations were observed in large hospitals compared to small hospitals (OR 0.48; [95% CI 0.32-0.72]; p < 0.001). Median number of yearly paediatrician visits was 7 in large and 6 in small hospitals, the significance of which was attenuated in multilevel analysis (OR ≥7 consultations: 1.89; [95%CI 0.74-4.83]; p = 0.18). Technology use varies between individual hospitals, whereas pump usage and real-time continuous glucose monitoring showed no significant differences between hospital volumes. Mean overall expenditure was highest in medium-sized centres with €6434 per patient (IQR €2555-7955); the difference in diabetes care costs was not significant between hospital patient volumes.

CONCLUSIONS

Care provision patterns vary by hospital patient volume. Large hospitals had the lowest hospitalisation rates. The use of diabetes technology was not different between hospital patient volumes. Medium-sized hospitals showed the highest overall expenditure, but diabetes care costs were similar across hospital volumes.

Continuous improvement of quality of care in pediatric diabetes: the ISPED CARD clinical registry

AIM

In Italy, the ISPED CARD initiative was launched to measure and improve quality of care in children and adolescents with type 1 diabetes.

METHODS

Process and outcome indicators and the related information derived from electronic medical records were identified. A network of pediatric diabetes centers was created on a voluntary basis.

RESULTS

Overall, 20 centers provided data on 3284 patients aged <  = 18 years. HbA1c was monitored ≥ 2/year in 81.2% of the cases. BMI was monitored ≥ 1/year in 99.0%, lipid profile in 45.3%, and blood pressure in 91.7%. Pubertal status, albuminuria, eye examination, and screening of celiac disease and thyroiditis were underreported. From 2017 to 2021, average HbA1c levels decreased from 7.8 ± 1.2 to 7.6 ± 1.3%, while patients with LDL cholesterol > 100 mg/dl increased from 18.9 to 36.7%. Prevalence of patients with elevated blood pressure and BMI/SDS values also increased. In 2021, 44.7% of patients were treated with the newest basal insulins, while use of regular human insulin had dropped to 7.7%. Use of insulin pump remained stable (37.9%).

CONCLUSIONS

This report documents the feasibility of the ISPED CARD initiative and shows lights and shadows in the care provided. Improving care, increasing number of centers, and ameliorating data recording represent future challenges.

Defining a Childhood Type 1 Diabetes Cohort, Clinical Practice Measures, and Outcomes Within Administrative Data in British Columbia

OBJECTIVE

We used administrative data to 1) establish a cohort of individuals with childhood-onset type 1 diabetes (T1D) in British Columbia (BC), and 2) define T1D-related clinical practice measures.

METHODS

We applied a validated diabetes case-finding definition and differentiating algorithm to linked administrative data (1992-1993 to 2019-2020). Cases were removed when they did not meet inclusion criteria for childhood-onset T1D. Clinical practice measures were defined based on clinical practice guidelines.

RESULTS

We developed an administrative cohort that included 5,901 individuals with childhood-diagnosed T1D between April 1, 1996, and March 31, 2020. The mean age was 22.31 (standard deviation 8.21) years. Clinical practice measures derived included diabetes outpatient visits (N=4,935) and glycated hemoglobin tests (N=4,935), and screening for thyroid function (N=4,457), retinopathy (N=1,602), and nephropathy (N=2,369).

CONCLUSIONS

We established an administrative cohort of ∼6,000 individuals with childhood-onset T1D with 20+ years of follow-up data that can be used to describe the association between clinical practice measures and clinical outcomes.