Correlation between centre size, metabolic variation and mean HbA1c in major paediatric diabetes centres

J Paediatr Child Health. 2024 Apr-May;60(4-5):94-99. doi: 10.1111/jpc.16531. Epub 2024 Apr 11.

Abstract

Aim: To exploit a relatively homogeneous national health care context and a national diabetes database to address the questions: Is there an optimal clinic/centre size in determining outcomes?; and Can improvement in median centre outcomes be driven by reducing variability in outcome?

Methods: Using the Australasian Diabetes Database Network, data from seven tertiary hospital paediatric diabetes clinics for patients with type one diabetes from Australia were recorded from 6-month uploads: September 2017, March 2018, September 2018 and March 2019. Data from 25 244 patient visits included demographic variables, HbA1C, number of patient visits and insulin regimens.

Results: There was no association between centre size and median HbA1C. On the other hand, there was a significant association between or median absolute deviation of HbA1C outcomes and the median HbA1C result between centres. On average every two thirds of a median absolute deviation increase in clinic HbA1C was associated with a 1.0% (10.9 mmol/mol) increase in median clinic HbA1C.

Conclusions: Our data have shown that it is likely difficult for centres to have a low median HbA1C if there is high variance of HbA1C's within centres or within centre treatment groups. This appears to be true regardless of centre size. These findings need to be carefully considered by teams who wish to lower their clinic median HbA1C.

Keywords: blood glucose self‐monitoring; child health; diabetes mellitus type 1; juvenile onset diabetes.

Publication types

  • Multicenter Study

MeSH terms

  • Adolescent
  • Australia
  • Child
  • Child, Preschool
  • Diabetes Mellitus, Type 1* / blood
  • Diabetes Mellitus, Type 1* / drug therapy
  • Female
  • Glycated Hemoglobin* / analysis
  • Humans
  • Male
  • Tertiary Care Centers

Substances

  • hemoglobin A1c protein, human