Savira Feby, Ademi Zanfina, Wang Bing H, Kompa Andrew R, Owen Alice J, Liew Danny, Zomer Ella
School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Biomarker Discovery Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
J Am Soc Nephrol. 2021 Apr;32(4):938-949. doi: 10.1681/ASN.2020081148. Epub 2021 Mar 9.
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.
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.
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.
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.
肾脏疾病与工作效率受损有关。然而,健康经济评估很少考虑旷工天数、工作产出减少和提前退出劳动力市场的综合影响。
为了确定预防肾病发病病例对工作效率的影响,我们使用新的衡量指标“生产力调整生命年”(PALY),构建了一个针对澳大利亚工作年龄人口(15 - 69岁)的动态生命表模型,该模型为期10年(2020 - 2029年),并按肾病状况进行分层。包括生产力估计在内的输入数据均来自文献。我们根据每个等效全职工人的国内生产总值(GDP)为PALY指标赋予了一个财务价值,并评估了总生存年数、总PALY以及更广泛的经济成本(每PALY的GDP)。我们在假设肾病发病率降低的情况下重复了模型模拟;差异反映了预防新肾病病例的效果。结果按每年5%进行贴现。
我们的预测表明,从2020年到2029年,新肾病病例的估计数量将超过16.1万例。在此期间预防10%的新肾病病例将避免超过300例过早死亡,并节省约550个生命年和7600个PALY,相当于节省11亿美元的GDP或每避免一例新病例节省6.7万美元。
在澳大利亚追求一个相对适度的预防肾病目标可能会延长寿命并增加生产性生命年,从而带来巨大的经济效益。我们的研究结果强调了投资于预防措施以减少未来肾病病例的必要性。