Evidence map›Paper›PMID 30012640›Full record

ArticleTobacco control2019

Productivity burden of smoking in Australia: a life table modelling study.

Alice J Owen, Salsabil B Maulida, Ella Zomer, Danny Liew

Abstract read
In one paragraph

Article in Tobacco control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Health and Productivity Burden of Depression in South Korea.Applied health economics and health policy · 2021
    Article
  10. Productivity burden of hypertension in Japan.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
    Article
  11. Article
  12. Adjusted productivity costs of stroke by human capital and friction cost methods: a Northern Finland Birth Cohort 1966 study.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Article
  13. The Preventable Productivity Burden of Kidney Disease in Australia.Journal of the American Society of Nephrology : JASN · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Productivity Burden of Occupational Noise-Induced Hearing Loss in Australia: A Life Table Modelling Study.International journal of environmental research and public health · 2020
    Article
  19. Article
  20. Gender Differences in Labour Losses Associated with Smoking-Related Mortality.International journal of environmental research and public health · 2019
    Article
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

4 authors.

Alice J OwenCentre for Cardiovascular Research and Education in Therapeutics, School of Public Health and Preventive Medicine, Monash Univeristy, Melbourne, Victoria, Australia.ORCID 0000-0002-4807-6069
Salsabil B MaulidaCentre for Cardiovascular Research and Education in Therapeutics, School of Public Health and Preventive Medicine, Monash Univeristy, Melbourne, Victoria, Australia.
Ella ZomerCentre for Cardiovascular Research and Education in Therapeutics, School of Public Health and Preventive Medicine, Monash Univeristy, Melbourne, Victoria, Australia.
Danny LiewCentre for Cardiovascular Research and Education in Therapeutics, School of Public Health and Preventive Medicine, Monash Univeristy, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine the impact of smoking on productivity in Australia, in terms of years of life lost, quality-adjusted life years (QALYs) lost and the novel measure of productivity-adjusted life years (PALYs) lost.

methodsLife table modelling using contemporary Australian data simulated follow-up of current smokers aged 20-69 years until age 70 years. Excess mortality, health-related quality of life decrements and relative reduction in productivity attributable to smoking were sourced from published data. The gross domestic product (GDP) per equivalent full-time (EFT) worker in Australia in 2016 was used to estimate the cost of productivity loss attributable to smoking at a population level.

resultsAt present, approximately 2.5 million Australians (17.4%) aged between 20 and 69 years are smokers. Assuming follow-up of this population until the age of 70 years, more than 3.1 million years of life would be lost to smoking, as well as 6.0 million QALYs and 2.5 million PALYs. This equates to 4.2% of years of life, 9.4% QALYs and 6.0% PALYs lost among Australian working-age smokers. At an individual level, this is equivalent to 1.2 years of life, 2.4 QALYs and 1.0 PALY lost per smoker. Assuming (conservatively) that each PALY in Australia is equivalent to $A157 000 (GDP per EFT worker in 2016), the economic impact of lost productivity would amount to $A388 billion.

conclusionsThis study highlights the potential health and productivity gains that may be achieved from further tobacco control measures in Australia via application of PALYs, which are a novel, and readily estimable, measure of the impact of health and health risk factors on work productivity.

Indexed as

Cost of IllnessEfficiencyQuality-Adjusted Life YearsAdultAgedAustraliaFemaleHumansLife TablesMaleMiddle AgedQuality of LifeRisk FactorsSmokingWorkYoung Adulteconomicspreventionpublic policy

Identifiers

PMID30012640
PMCPMC6580760

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.