Cargando…

Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling

OBJECTIVES: To estimate the impact of smoking in the working-age Indonesian population in terms of costs, years of life, quality-adjusted life years (QALYs) and productivity-adjusted life years (PALYs) lost. METHODS: Life table modelling of Indonesian smokers aged 15–54 years, followed up until 55 y...

Descripción completa

Detalles Bibliográficos
Autores principales: Satyana, Regina P U, Uli, Regina E, Magliano, Dianna, Zomer, Ella, Liew, Danny, Ademi, Zanfina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678342/
https://www.ncbi.nlm.nih.gov/pubmed/33444213
http://dx.doi.org/10.1136/bmjopen-2020-041832
_version_ 1783612136135589888
author Satyana, Regina P U
Uli, Regina E
Magliano, Dianna
Zomer, Ella
Liew, Danny
Ademi, Zanfina
author_facet Satyana, Regina P U
Uli, Regina E
Magliano, Dianna
Zomer, Ella
Liew, Danny
Ademi, Zanfina
author_sort Satyana, Regina P U
collection PubMed
description OBJECTIVES: To estimate the impact of smoking in the working-age Indonesian population in terms of costs, years of life, quality-adjusted life years (QALYs) and productivity-adjusted life years (PALYs) lost. METHODS: Life table modelling of Indonesian smokers aged 15–54 years, followed up until 55 years (retirement age). Contemporary data on demographics, all-cause mortality, population attributable fractions and prevalence of smoking were derived from the Institute for Health Metrics and Evaluation. The quality of life and reduction in productivity due to smoking were derived from published sources. The analysis was repeated but with the assumption that the cohorts were non-smokers. The differences in results represented the losses incurred due to smoking. Gross domestic product (GDP) per equivalent full-time worker (US$11 765) was used for estimation of the cost of each PALY, and an annual discount rate of 3.0% was applied to all costs and outcomes. RESULTS: The prevalences of smoking among Indonesian working-age men and women were 67.2% and 2.16%, respectively. This study estimated that smoking caused 846 123 excess deaths, 2.9 million years of life lost (0.40%), 41.6 million QALYs lost (5.9%) and 15.6 million PALYs lost (2.3%). The total cost of productivity loss due to smoking amounted to US$183.7 billion among the working-age population followed up until retirement. Healthcare cost was predicted to be US$1.8 trillion. Over a 1-year time horizon, US$10.2 billion was lost in GDP and 117 billion was lost in healthcare costs. CONCLUSION: Smoking imposes significant health and economic burden in Indonesia. The findings stress the importance of developing effective tobacco control strategies at the macro and micro levels, which would benefit the country both in terms of health and wealth.
format Online
Article
Text
id pubmed-7678342
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-76783422020-11-30 Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling Satyana, Regina P U Uli, Regina E Magliano, Dianna Zomer, Ella Liew, Danny Ademi, Zanfina BMJ Open Health Economics OBJECTIVES: To estimate the impact of smoking in the working-age Indonesian population in terms of costs, years of life, quality-adjusted life years (QALYs) and productivity-adjusted life years (PALYs) lost. METHODS: Life table modelling of Indonesian smokers aged 15–54 years, followed up until 55 years (retirement age). Contemporary data on demographics, all-cause mortality, population attributable fractions and prevalence of smoking were derived from the Institute for Health Metrics and Evaluation. The quality of life and reduction in productivity due to smoking were derived from published sources. The analysis was repeated but with the assumption that the cohorts were non-smokers. The differences in results represented the losses incurred due to smoking. Gross domestic product (GDP) per equivalent full-time worker (US$11 765) was used for estimation of the cost of each PALY, and an annual discount rate of 3.0% was applied to all costs and outcomes. RESULTS: The prevalences of smoking among Indonesian working-age men and women were 67.2% and 2.16%, respectively. This study estimated that smoking caused 846 123 excess deaths, 2.9 million years of life lost (0.40%), 41.6 million QALYs lost (5.9%) and 15.6 million PALYs lost (2.3%). The total cost of productivity loss due to smoking amounted to US$183.7 billion among the working-age population followed up until retirement. Healthcare cost was predicted to be US$1.8 trillion. Over a 1-year time horizon, US$10.2 billion was lost in GDP and 117 billion was lost in healthcare costs. CONCLUSION: Smoking imposes significant health and economic burden in Indonesia. The findings stress the importance of developing effective tobacco control strategies at the macro and micro levels, which would benefit the country both in terms of health and wealth. BMJ Publishing Group 2020-11-19 /pmc/articles/PMC7678342/ /pubmed/33444213 http://dx.doi.org/10.1136/bmjopen-2020-041832 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Economics
Satyana, Regina P U
Uli, Regina E
Magliano, Dianna
Zomer, Ella
Liew, Danny
Ademi, Zanfina
Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling
title Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling
title_full Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling
title_fullStr Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling
title_full_unstemmed Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling
title_short Assessing the impact of smoking on the health and productivity of the working-age Indonesian population using modelling
title_sort assessing the impact of smoking on the health and productivity of the working-age indonesian population using modelling
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678342/
https://www.ncbi.nlm.nih.gov/pubmed/33444213
http://dx.doi.org/10.1136/bmjopen-2020-041832
work_keys_str_mv AT satyanareginapu assessingtheimpactofsmokingonthehealthandproductivityoftheworkingageindonesianpopulationusingmodelling
AT ulireginae assessingtheimpactofsmokingonthehealthandproductivityoftheworkingageindonesianpopulationusingmodelling
AT maglianodianna assessingtheimpactofsmokingonthehealthandproductivityoftheworkingageindonesianpopulationusingmodelling
AT zomerella assessingtheimpactofsmokingonthehealthandproductivityoftheworkingageindonesianpopulationusingmodelling
AT liewdanny assessingtheimpactofsmokingonthehealthandproductivityoftheworkingageindonesianpopulationusingmodelling
AT ademizanfina assessingtheimpactofsmokingonthehealthandproductivityoftheworkingageindonesianpopulationusingmodelling