ArticleJournal of diabetes and its complications
Adapting and validating diabetes simulation models across settings: accounting for mortality differences using administrative data.
Article in Journal of diabetes and its complications. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia.Frontiers in public health · 2022Pooled it
- Cost-effectiveness analysis of Dexcom ONE+ real-time continuous glucose monitoring versus self-monitoring of blood glucose in people with type 2 diabetes in Aotearoa New Zealand.Diabetes, obesity & metabolism · 2026Article
- Evaluating the Cost-Effectiveness of Real-Time Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in the Treatment of Patients with Insulin-Treated Type 2 Diabetes in Australia.Advances in therapy · 2026Article
- The impact of diabetes on the labour force participation, savings and retirement income of workers aged 45-64 years in Australia.PloS one · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
aimsTo develop age and sex-specific risk equations for predicting mortality following major complications of diabetes, using a large linked administrative dataset from Western Australia (WA) and to incorporate these into an existing diabetes simulation model.
methodsThe study uses linked hospital and mortality records on 13,884 patients following a major diabetes-related complication with a mean (SD) duration of 2.62 (2.25) years. Risk equations for predicting mortality were derived and integrated into the UKPDS Outcomes Model. Estimates of life expectancy and incremental QALYs gained as a result of two theoretical therapies (a reduction of HbA1c of 1%, and reduction of systolic blood pressure of 10 mmHg) were determined using the original and adapted models.
resultsThe two versions of the model generated differences in life expectancy following specific events; however there was little impact of using alternative mortality equations on incremental QALYs gained as a result of reducing HbA(1c) or systolic blood pressure, or on outcomes of life expectancy for a cohort initially free of complications.
conclusionsMortality following complications varies across diabetic populations and can impact on estimates of life expectancy, but appears to have less impact on incremental benefits of interventions that are commonly used in pharmoeconomic analyses.
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