Literature DB >> 24746223

The cost of premature cancer-related mortality: a review and assessment of the evidence.

Paul Hanly1, Alison Pearce, Linda Sharp.   

Abstract

Worldwide, 8.2 million people die of cancer annually. Cancer has a significant societal impact, impinging on countries' economic health. We reviewed methodological aspects, and the main cost results, of studies calculating premature mortality losses from cancer published 2000-2013 and identified gaps in the evidence-base. Thirty-one studies were identified (Europe, 17; USA, 11; Korea, 2; Puerto Rico, (1). The human capital approach dominated (30 studies); studies differed in how they implemented the methodological approach. Aspects of methodology were poorly reported. Premature cancer-related mortality costs are substantial and appear to be rising. The evidence-base has gaps in relation to cancer sites studied and less developed and emerging economies. Comprehensive, standardised, estimates of premature mortality losses are needed if these measures are to be useful in assessing the societal cancer burden.

Entities:  

Keywords:  cancer; economic burden; premature mortality; productivity costs; societal

Mesh:

Year:  2014        PMID: 24746223     DOI: 10.1586/14737167.2014.909287

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  13 in total

1.  Valuing productivity costs in a changing macroeconomic environment: the estimation of colorectal cancer productivity costs using the friction cost approach.

Authors:  Paul Hanly; Marc Koopmanschap; Linda Sharp
Journal:  Eur J Health Econ       Date:  2015-05-29

2.  Cancer Premature Mortality Costs in Europe in 2020: A Comparison of the Human Capital Approach and the Friction Cost Approach.

Authors:  Paul Hanly; Marta Ortega-Ortega; Isabelle Soerjomataram
Journal:  Curr Oncol       Date:  2022-05-13       Impact factor: 3.109

3.  Racial/Ethnic Disparities in Lost Earnings From Cancer Deaths in the United States.

Authors:  Jingxuan Zhao; Kimberly D Miller; Farhad Islami; Zhiyuan Zheng; Xuesong Han; Jiemin Ma; Ahmedin Jemal; K Robin Yabroff
Journal:  JNCI Cancer Spectr       Date:  2020-06-03

4.  Differences in predictions of ODE models of tumor growth: a cautionary example.

Authors:  Hope Murphy; Hana Jaafari; Hana M Dobrovolny
Journal:  BMC Cancer       Date:  2016-02-26       Impact factor: 4.430

5.  The cost of lost productivity due to premature lung cancer-related mortality: results from Spain over a 10-year period.

Authors:  Josep Darbà; Alicia Marsà
Journal:  BMC Cancer       Date:  2019-10-23       Impact factor: 4.430

6.  Economic burden of lung cancer in Turkey: a cost of illness study from payer perspective.

Authors:  Irfan Cicin; Ergun Oksuz; Nuri Karadurmus; Simten Malhan; Mahmut Gumus; Ulku Yilmaz; Levent Cansever; Halit Cinarka; Erdogan Cetinkaya; Murat Kiyik; Ahmet Ozet
Journal:  Health Econ Rev       Date:  2021-06-26

7.  The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model.

Authors:  Hannah E Carter; Deborah J Schofield; Rupendra Shrestha
Journal:  PLoS One       Date:  2016-12-12       Impact factor: 3.240

8.  Projecting productivity losses for cancer-related mortality 2011 - 2030.

Authors:  Alison Pearce; Cathy Bradley; Paul Hanly; Ciaran O'Neill; Audrey Alforque Thomas; Michal Molcho; Linda Sharp
Journal:  BMC Cancer       Date:  2016-10-18       Impact factor: 4.430

9.  Production losses associated with premature mortality in 28 European Union countries.

Authors:  Błażej Łyszczarz
Journal:  J Glob Health       Date:  2019-12       Impact factor: 4.413

10.  Production Losses Associated with Alcohol-Attributable Mortality in the European Union.

Authors:  Błażej Łyszczarz
Journal:  Int J Environ Res Public Health       Date:  2019-09-21       Impact factor: 3.390

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