ArticleBMJ open2017
The costs of diabetes among Australians aged 45-64 years from 2015 to 2030: projections of lost productive life years (PLYs), lost personal income, lost taxation revenue, extra welfare payments and lost gross domestic product from Health&WealthMOD2030.
Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of exercise in treating patients with venous leg ulcers: A systematic review and meta-analysis.International wound journal · 2023Pooled it
- Closing the rural diabetes research gap: a case for coordinated international collaboration.Global health action · 2026Article
- Review
- Appropriate Intervention Diets to Manage Type 2 Diabetes Mellitus Among Adults in Australia: A Systematic Review.Cureus · 2025Review
- Cost-effectiveness of fenofibrate for preventing diabetic complications in Australia.Cost effectiveness and resource allocation : C/E · 2024Article
- Stakeholder Perspectives on the Acceptability, Design, and Integration of Produce Prescriptions for People with Type 2 Diabetes in Australia: A Formative Study.International journal of environmental research and public health · 2024Article
- Midlife cardiovascular health factors as predictors of retirement age, work-loss years, and years spent in retirement among older businessmen.Scientific reports · 2023Article
- Capsaicin and Zinc Signalling Pathways as Promising Targets for Managing Insulin Resistance and Type 2 Diabetes.Molecules (Basel, Switzerland) · 2023Review
- A spatially explicit analysis of chronic diseases in small areas: a case study of diabetes in Santiago, Chile.International journal of health geographics · 2020Article
- Understanding factors influencing venous leg ulcer guideline implementation in Australian primary care.International wound journal · 2020Article
- Health Care Financing Systems and Their Effectiveness: An Empirical Study of OECD Countries.International journal of environmental research and public health · 2019Article
- Social economic costs of COPD in Extremadura (Spain): an observational study.International journal of chronic obstructive pulmonary disease · 2018Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo project the number of people aged 45-64 years with lost productive life years (PLYs) due to diabetes and related costs (lost income, extra welfare payments, lost taxation revenue); and lost gross domestic product (GDP) attributable to diabetes in Australia from 2015 to 2030.
designA simulation study of how the number of people aged 45-64 years with diabetes increases over time (based on population growth and disease trend data) and the economic losses incurred by individuals and the government. Cross-sectional outputs of a microsimulation model (Health&WealthMOD2030) which used the Australian Bureau of Statistics' Survey of Disability, Ageing and Carers 2003 and 2009 as a base population and integrated outputs from two microsimulation models (Static Incomes Model and Australian Population and Policy Simulation Model), Treasury's population and labour force projections, and chronic disease trends data.
settingAustralian population aged 45-64 years in 2015, 2020, 2025 and 2030. OUTCOME MEASURES: Lost PLYs, lost income, extra welfare payments, lost taxation revenue, lost GDP.
results18 100 people are out of the labour force due to diabetes in 2015, increasing to 21 400 in 2030 (18% increase). National costs consisted of a loss of $A467 million in annual income in 2015, increasing to $A807 million in 2030 (73% increase). For the government, extra annual welfare payments increased from $A311 million in 2015 to $A350 million in 2030 (13% increase); and lost annual taxation revenue increased from $A102 million in 2015 to $A166 million in 2030 (63% increase). A loss of $A2.1 billion in GDP was projected for 2015, increasing to $A2.9 billion in 2030 attributable to diabetes through its impact on PLYs.
conclusionsIndividuals incur significant costs of diabetes through lost PLYs and lost income in addition to disease burden through human suffering and healthcare costs. The government incurs extra welfare payments, lost taxation revenue and lost GDP, along with direct healthcare costs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.