Evidence map›Paper›PMID 31226965›Full record

ArticleBMC public health2019

The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model.

Deborah Schofield, Michelle Cunich, Rupendra Shrestha, Megan Passey, Lennert Veerman, Robert Tanton, Simon Kelly

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  3. Societal, occupational, and economic considerations for women with (M)INOCA: a narrative review.International journal of occupational medicine and environmental health · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Deborah SchofieldDepartment of Economics, Faculty of Business and Economics, Centre for Economic Impacts of Genomic Medicine (GenIMPACT), Macquarie University, Sydney, NSW, 2109, Australia.
Michelle CunichThe Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Charles Perkins Centre, The University of Sydney, and Sydney Health Economics, Sydney Local Health District, John Hopkins Drive, Camperdown, NSW, 2006, Australia. michelle.cunich@sydney.edu.au.ORCID http://orcid.org/0000-0002-0163-3665
Rupendra ShresthaDepartment of Economics, Faculty of Business and Economics, Centre for Economic Impacts of Genomic Medicine (GenIMPACT), Macquarie University, Sydney, NSW, 2109, Australia.
Megan PasseyUniversity Centre for Rural Health, School of Public Health, The University of Sydney, Lismore, NSW, 2480, Australia.
Lennert VeermanCancer Council NSW, 153 Dowling Street, Woolloomooloo, NSW, 2011, Australia.
Robert TantonNational Centre for Social and Economic Modelling, University of Canberra, Canberra, ACT, Australia.
Simon KellyNational Centre for Social and Economic Modelling, University of Canberra, Canberra, ACT, Australia.

Funding

Australian Research Council LP100100158National Health and Medical Research Council of Australia and the Sydney Medical Foundation NA
6 · The paper itself

Abstract

backgroundMost studies measure the impact of ischemic heart disease (IHD) on individuals using quality of life metrics such as disability-adjusted life-years (DALYs); however, IHD also has an enormous impact on productive life years (PLYs). The objective of this study was to project the indirect costs of IHD resulting from lost PLYs to older Australian workers (45-64 years), government, and society 2015-2030.

methodsNationally representative data from the Surveys of Disability, Ageing and Carers (2003, 2009) were used to develop the base population in the microsimulation model (Health&WealthMOD2030), which integrated data from established microsimulation models (STINMOD, APPSIM), Treasury's population and workforce projections, and chronic conditions trends.

resultsWe projected that 6700 people aged 45-64 were out of the labour force due to IHD in 2015, increasing to 8100 in 2030 (21 increase). National costs consisted of a loss of AU$273 (US$263) million in income for people with IHD in 2015, increasing to AU$443 ($US426) million (62% increase). For the government, extra welfare payments increased from AU$106 (US$102) million in 2015 to AU$143 (US$138) million in 2030 (35% increase); and lost income tax revenue increased from AU$74 (US$71) million in 2015 to AU$117 (US$113) million in 2030 (58% increase). A loss of AU$785 (US$755) million in GDP was projected for 2015, increasing to AU$1125 (US$1082) million in 2030.

conclusionsSignificant costs of IHD through lost productivity are incurred by individuals, the government, and society. The benefits of IHD interventions include not only improved health but also potentially economic benefits as workforce capacity.

Indexed as

Cost of IllnessAustraliaComputer SimulationEfficiencyEmploymentFemaleHumansMaleMiddle AgedMyocardial IschemiaCardiovascular diseaseIncomeIndirect costsIschemic heart diseaseMicrosimulationProductivity

Identifiers

PMID31226965
PMCPMC6588908

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Registered trials

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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.