Is the burden of diabetes in Australia underestimated? Comparison of diabetes ascertainment using linked administrative health data and an Australian diabetes registry
Open Access
- 18 March 2025
- journal article
- Published by Elsevier in Diabetes Research and Clinical Practice
- Vol. 222, 112113
Abstract
No abstract availableKeywords
Funding Information
- National Health and Medical Research Council (APP1197940, APP1173784)
- Financial Markets Foundation for Children
- National Heart Foundation of Australia (105609)
- Australian Diabetes Society
- Cancer Council Tasmania
- Diabetes Australia Research Trust
- Centre for Health Record Linkage
- NSW Ministry of Health
- Financial Markets Foundation for Children
- University of Sydney
This publication has 17 references indexed in Scilit:
- The emergence of obesity in type 1 diabetesInternational Journal of Obesity, 2023
- Do patients with prediabetes managed with metformin achieve better glycaemic control? A national study using primary care medical recordsDiabetic Medicine, 2023
- Access to health services among culturally and linguistically diverse populations in the Australian universal health care system: issues and challengesBMC Public Health, 2022
- Trends in the incidence of diagnosed diabetes: a multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settingsThe Lancet Diabetes & Endocrinology, 2021
- Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative dataScientific Reports, 2020
- IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045Diabetes Research and Clinical Practice, 2018
- Effect of change in coding rules on recording diabetes in hospital administrative datasetsInternational Journal of Medical Informatics, 2016
- Validating self-report of diabetes use by participants in the 45 and up study: a record linkage studyBMC Health Services Research, 2013
- Validating ICD coding algorithms for diabetes mellitus from administrative dataDiabetes Research and Clinical Practice, 2010
- Review of the performance of methods to identify diabetes cases among vital statistics, administrative, and survey dataAnnals of Epidemiology, 2004