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Gill, Geoff, Ismail, A. A., Beeching, Nicholas 
ORCID: https://orcid.org/0000-0002-7019-8791, Macfarlane, S. B. J. and Bellis, M. A.
(2003)
'Hidden diabetes in the UK: use of capture-recapture methods to estimate total prevalence of diabetes mellitus in an urban population'. Journal of the Royal Society of Medicine, Vol 96, Issue 7, pp. 328-332.
Abstract
An early requirement of the UK's Diabetes National Service Framework is enumeration of the total affected population. Existing estimates tend to be based on incomplete lists. In a study conducted over one year in North Liverpool, we compared crude prevalence rates for type 1 and type 2 diabetes with estimates obtained by capture-recapture (CR) analysis of multiple incomplete patient lists, to assess the extent of unascertained but diagnosed cases. Patient databases were constructed from six sources-a hospital diabetes centre; general practitioner registers; hospital admissions with a diagnosis of diabetes; a hospital diabetic retinal clinic; a research list of patients with diabetes admitted with stroke; and a local children's hospital. Log linear modelling was used to estimate missing cases, hence total prevalence. The crude prevalence of diabetes was 1.5% (95% confidence interval [CI] 1.41, 1.52), compared with a CR-adjusted rate of 3.1 % (CI 3.03, 3.19). Age-banded CR-adjusted prevalence was always higher in males than in females and the difference became more pronounced with increasing age. Among males, CR-adjusted prevalence rose from 0.4% at age 10-19 years to 18.3% at 80+ years; in females the corresponding figures were 0.4% and 9.3%. The gap between crude and CR-estimated prevalence points to a rate of hidden diabetes' that has substantial implications for future diabetes care.
| Item Type: | Article |
|---|---|
| Subjects: | WK Endocrine System > WK 810 Diabetes mellitus |
| Faculty: Department: | Groups (2002 - 2012) > Clinical Group |
| Digital Object Identifer (DOI): | https://doi.org/10.1258/jrsm.96.7.328 |
| Depositing User: | Martin Chapman |
| Date Deposited: | 29 Jan 2013 15:03 |
| Last Modified: | 09 Sep 2019 06:26 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/2552 |
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