Lost productivity due to head and neck cancer mortality in Hungary, Poland, and Romania

Benčina, Goran; Chami, Nour; Hughes, Robert; Weston, Georgie; Golusiński, Pawel Jerzy

doi:10.1016/j.jcpo.2022.100366

Cited by 10 publications

(2 citation statements)

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“…Based on our results, the differences in productivity between males and females are only those introduced by cancer mortality and marginally by workforce participation rates. This is in contrast to the data published in the literature probably due to the assumptions considered in their methodology 13,21,22 . With all these factors culminating together, India would have significantly higher losses related to oral cancer than other countries.…”

Section: Discussioncontrasting

confidence: 62%

“…This is in contrast to the data published in the literature probably due to the assumptions considered in their methodology. 13,21,22 With all these factors culminating together, India would have significantly higher losses related to oral cancer than other countries. A recent study documenting the productivity losses due to premature mortality from cancer in Brazil, Russia, India, China, and South Africa (BRICS) countries found similar results with lip and oral cavity cancers resulting in the highest losses in India at USD 0.74 billion.…”

Section: Discussionmentioning

confidence: 99%

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A prospective health economic evaluation to determine the productivity loss due to premature mortality from oral cancer in India

Singh,

Sullivan,

Bavaskar

et al. 2024

Head & Neck

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IntroductionIndia contributes two‐thirds of the global mortality due to oral cancer and has a younger population at risk. The societal costs of this premature mortality are barely discussed.MethodsUsing the human capital approach, we aimed to estimate the productivity lost due to premature mortality, valued using individual socioeconomic data, related to oral cancer in India. A bottom‐up approach was used to prospectively collect data of 100 consecutive patients with oral cancer treated between 2019 and 2020, with a follow‐up of 36 months.ResultsThe disease‐specific survival for early and advanced stage was 85% and 70%, with a median age of 47 years. With 671 years lost prematurely, the loss of productivity was $41 900/early and $96 044/advanced stage. Based on population level rates, the total cost of premature mortality was $5.6 billion, representing 0.18% of GDP.ConclusionIndia needs to implement tailored strategies to reduce the economic burden from premature mortality.

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Section: Discussioncontrasting

confidence: 62%

Section: Discussionmentioning

confidence: 99%