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Clinical Epidemiology
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The Preventable Productivity Burden of Kidney Disease in Australia

Feby Savira, Zanfina Ademi, Bing H. Wang, Andrew R. Kompa, Alice J. Owen, Danny Liew and Ella Zomer
JASN April 2021, 32 (4) 938-949; DOI: https://doi.org/10.1681/ASN.2020081148
Feby Savira
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
2Biomarker Discovery Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
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Zanfina Ademi
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Bing H. Wang
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
2Biomarker Discovery Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
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Andrew R. Kompa
3Department of Medicine, University of Melbourne, St Vincent’s Hospital, Fitzroy, Australia
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Alice J. Owen
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Danny Liew
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Ella Zomer
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Significance Statement

Kidney disease is associated with reduced work productivity. The authors describe the preventable productivity burden of kidney disease in Australia over 10 years (2020–2029), using the novel metric “productivity-adjusted life year” (PALY). The PALY resembles the quality-adjusted life year, but it adjusts years of life lived for productivity loss resulting from ill health instead of quality-of-life impairment. They demonstrate that, if 10% of future cases of kidney disease can be prevented over this period, >7500 PALYs could be saved, equivalent to a gain of US$1.1 billion in gross domestic product. These results have potential to inform policy makers regarding the need and the substantial financial incentive for the prevention of kidney disease.

Abstract

Background Kidney disease is associated with impaired work productivity. However, the collective effect of missed work days, reduced output at work, and early withdrawal from the workforce is rarely considered in health-economic evaluations.

Methods To determine the effect on work productivity of preventing incident cases of kidney disease, using the novel measure “productivity-adjusted life year” (PALY), we constructed a dynamic life table model for the Australian working-age population (aged 15–69 years) over 10 years (2020–2029), stratified by kidney-disease status. Input data, including productivity estimates, were sourced from the literature. We ascribed a financial value to the PALY metric in terms of gross domestic product (GDP) per equivalent full-time worker and assessed the total number of years lived, total PALYs, and broader economic costs (GDP per PALY). We repeated the model simulation, assuming a reduced kidney-disease incidence; the differences reflected the effects of preventing new kidney-disease cases. Outcomes were discounted by 5% annually.

Results Our projections indicate that, from 2020 to 2029, the estimated number of new kidney-disease cases will exceed 161,000. Preventing 10% of new cases of kidney disease during this period would result in >300 premature deaths averted and approximately 550 years of life and 7600 PALYs saved—equivalent to a savings of US$1.1 billion in GDP or US$67,000 per new case avoided.

Conclusions Pursuing a relatively modest target for preventing kidney disease in Australia may prolong years of life lived and increase productive life years, resulting in substantial economic benefit. Our findings highlight the need for investment in preventive measures to reduce future cases of kidney disease.

  • chronic kidney disease
  • end stage kidney disease
  • productivity
  • incidence
  • dynamic life table model
  • burden
  • Copyright © 2021 by the American Society of Nephrology
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Journal of the American Society of Nephrology: 32 (4)
Journal of the American Society of Nephrology
Vol. 32, Issue 4
April 2021
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The Preventable Productivity Burden of Kidney Disease in Australia
Feby Savira, Zanfina Ademi, Bing H. Wang, Andrew R. Kompa, Alice J. Owen, Danny Liew, Ella Zomer
JASN Apr 2021, 32 (4) 938-949; DOI: 10.1681/ASN.2020081148

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The Preventable Productivity Burden of Kidney Disease in Australia
Feby Savira, Zanfina Ademi, Bing H. Wang, Andrew R. Kompa, Alice J. Owen, Danny Liew, Ella Zomer
JASN Apr 2021, 32 (4) 938-949; DOI: 10.1681/ASN.2020081148
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Keywords

  • chronic kidney disease
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  • productivity
  • incidence
  • dynamic life table model
  • burden

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