The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model.
The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model.
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DOI：
10.1371/journal.pone.0167521
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Shrestha R
中科院分区：
文献类型：
--
作者：
Carter HE;Schofield DJ;Shrestha R
估计澳大利亚癌症过早死亡的生产率成本，总体上和26个最常见的癌症地点。2003年，采用了人力资本方法来评估澳大利亚癌症死亡的长期影响。利用人口死亡率数据，根据死亡时的个人特征，包括年龄、性别和社会经济地位，估计了因过早死亡而丧失的劳动力参与率和终生收入现值。使用来自国家微观模拟模型的经济数据模拟了到2030年的结果。采用了3%的贴现率，费用以2016澳元报告。2003年因癌症过早死亡导致88000个工作年限的损失和42亿美元的PVLI费用损失。由于男性过早死亡的人数较多，加上劳动力参与率和收入水平较高，男性的成本几乎是女性的三倍。肺癌、结直肠癌和脑癌在成本中所占比例最高，而睾丸癌是人均死亡成本最高的癌症部位。癌症导致的过早死亡的生产力成本是巨大的。这些结果提供了一种癌症负担的经济衡量标准，可能有助于决策者在相互竞争的优先事项之间分配稀缺资源。
To estimate the productivity costs of premature mortality due to cancer in Australia, in aggregate and for the 26 most prevalent cancer sites. A human capital approach was adopted to estimate the long term impacts of Australian cancer deaths in 2003. Using population mortality data, the labour force participation and the present value of lifetime income (PVLI) forgone due to premature mortality was estimated based on individual characteristics at the time of death including age, sex and socioeconomic status. Outcomes were modelled to the year 2030 using economic data from a national microsimulation model. A discount rate of 3% was applied and costs were reported in 2016 Australian dollars. Premature deaths from cancer in 2003 resulted in 88,000 working years lost and a cost of $4.2 billion in the PVLI forgone. Costs were close to three times higher in males than females due to the higher number of premature deaths in men, combined with higher levels of workforce participation and income. Lung, colorectal and brain cancers accounted for the highest proportion of costs, while testicular cancer was the most costly cancer site per death. The productivity costs of premature mortality due to cancer are significant. These results provide an economic measure of the cancer burden which may assist decision makers in allocating scare resources amongst competing priorities.
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影响因子：
4.5
作者：
Carter, Ashley J. R.;Nguyen, Cecine N.
通讯作者：
Nguyen, Cecine N.
从癌症中丧生（YLL）是人口负担的重要衡量标准，在分配研究基金时应考虑。
影响因子：
8.8
作者：
Burnet, NG;Jefferies, SJ;Benson, RJ;Hunt, DP;Treasure, FP
通讯作者：
Treasure, FP
影响因子：
11.4
作者：
Dear, Rachel F.;Barratt, Alexandra L.;Tattersall, Martin H. N.
通讯作者：
Tattersall, Martin H. N.
影响因子：
10.3
作者：
Bradley, Cathy J.;Yabroff, K. Robin;Brown, Martin L.
通讯作者：
Brown, Martin L.
影响因子：
28.4
作者：
Global Burden of Disease Cancer Collaboration;Fitzmaurice C;Dicker D;Pain A;Hamavid H;Moradi-Lakeh M;MacIntyre MF;Allen C;Hansen G;Woodbrook R;Wolfe C;Hamadeh RR;Moore A;Werdecker A;Gessner BD;Te Ao B;McMahon B;Karimkhani C;Yu C;Cooke GS;Schwebel DC;Carpenter DO;Pereira DM;Nash D;Kazi DS;De Leo D;Plass D;Ukwaja KN;Thurston GD;Yun Jin K;Simard EP;Mills E;Park EK;Catalá-López F;deVeber G;Gotay C;Khan G;Hosgood HD 3rd;Santos IS;Leasher JL;Singh J;Leigh J;Jonas JB;Sanabria J;Beardsley J;Jacobsen KH;Takahashi K;Franklin RC;Ronfani L;Montico M;Naldi L;Tonelli M;Geleijnse J;Petzold M;Shrime MG;Younis M;Yonemoto N;Breitborde N;Yip P;Pourmalek F;Lotufo PA;Esteghamati A;Hankey GJ;Ali R;Lunevicius R;Malekzadeh R;Dellavalle R;Weintraub R;Lucas R;Hay R;Rojas-Rueda D;Westerman R;Sepanlou SG;Nolte S;Patten S;Weichenthal S;Abera SF;Fereshtehnejad SM;Shiue I;Driscoll T;Vasankari T;Alsharif U;Rahimi-Movaghar V;Vlassov VV;Marcenes WS;Mekonnen W;Melaku YA;Yano Y;Artaman A;Campos I;MacLachlan J;Mueller U;Kim D;Trillini M;Eshrati B;Williams HC;Shibuya K;Dandona R;Murthy K;Cowie B;Amare AT;Antonio CA;Castañeda-Orjuela C;van Gool CH;Violante F;Oh IH;Deribe K;Soreide K;Knibbs L;Kereselidze M;Green M;Cardenas R;Roy N;Tillmann T;Li Y;Krueger H;Monasta L;Dey S;Sheikhbahaei S;Hafezi-Nejad N;Kumar GA;Sreeramareddy CT;Dandona L;Wang H;Vollset SE;Mokdad A;Salomon JA;Lozano R;Vos T;Forouzanfar M;Lopez A;Murray C;Naghavi M
通讯作者：
Naghavi M