Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso

Abstract Background Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade-off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is complex though, especially in low-income and low-literacy communities....

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Autores principales: Stefan T. Trautmann, Yilong Xu, Christian König-Kersting, Bryan N. Patenaude, Guy Harling, Ali Sié, Till Bärnighausen
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Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/dda5259e7bee4f28a50edad554062188
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spelling oai:doaj.org-article:dda5259e7bee4f28a50edad5540621882021-11-21T12:05:56ZValue of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso10.1186/s12963-021-00275-y1478-7954https://doaj.org/article/dda5259e7bee4f28a50edad5540621882021-11-01T00:00:00Zhttps://doi.org/10.1186/s12963-021-00275-yhttps://doaj.org/toc/1478-7954Abstract Background Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade-off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is complex though, especially in low-income and low-literacy communities. Methods Using a large randomized experiment (N = 3027), we study methodological aspects of stated-preference elicitation with payment cards (price lists) in an extreme poverty context. In a 2 × 2 design, we systematically vary whether buying or selling prices are measured, crossed with the range of the payment card. Results We find substantial effects of both the pricing method and the list range on elicited VSLY. Estimates of the gross domestic product per capita multiplier for VSLY range from 3.5 to 33.5 depending on the study design. Importantly, all estimates are economically and statistically significantly larger than the current World Health Organization threshold of 3.0 for cost-effectiveness analyses. Conclusions Our results inform design choice in VSLY measurements, and provide insight into the potential variability of these measurements and possibly robustness checks.Stefan T. TrautmannYilong XuChristian König-KerstingBryan N. PatenaudeGuy HarlingAli SiéTill BärnighausenBMCarticleValue of statistical life yearHealth risksCost-effectivenessPayment cardsPrice listsExtreme povertyComputer applications to medicine. Medical informaticsR858-859.7Public aspects of medicineRA1-1270ENPopulation Health Metrics, Vol 19, Iss 1, Pp 1-18 (2021)
institution DOAJ
collection DOAJ
language EN
topic Value of statistical life year
Health risks
Cost-effectiveness
Payment cards
Price lists
Extreme poverty
Computer applications to medicine. Medical informatics
R858-859.7
Public aspects of medicine
RA1-1270
spellingShingle Value of statistical life year
Health risks
Cost-effectiveness
Payment cards
Price lists
Extreme poverty
Computer applications to medicine. Medical informatics
R858-859.7
Public aspects of medicine
RA1-1270
Stefan T. Trautmann
Yilong Xu
Christian König-Kersting
Bryan N. Patenaude
Guy Harling
Ali Sié
Till Bärnighausen
Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso
description Abstract Background Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade-off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is complex though, especially in low-income and low-literacy communities. Methods Using a large randomized experiment (N = 3027), we study methodological aspects of stated-preference elicitation with payment cards (price lists) in an extreme poverty context. In a 2 × 2 design, we systematically vary whether buying or selling prices are measured, crossed with the range of the payment card. Results We find substantial effects of both the pricing method and the list range on elicited VSLY. Estimates of the gross domestic product per capita multiplier for VSLY range from 3.5 to 33.5 depending on the study design. Importantly, all estimates are economically and statistically significantly larger than the current World Health Organization threshold of 3.0 for cost-effectiveness analyses. Conclusions Our results inform design choice in VSLY measurements, and provide insight into the potential variability of these measurements and possibly robustness checks.
format article
author Stefan T. Trautmann
Yilong Xu
Christian König-Kersting
Bryan N. Patenaude
Guy Harling
Ali Sié
Till Bärnighausen
author_facet Stefan T. Trautmann
Yilong Xu
Christian König-Kersting
Bryan N. Patenaude
Guy Harling
Ali Sié
Till Bärnighausen
author_sort Stefan T. Trautmann
title Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso
title_short Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso
title_full Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso
title_fullStr Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso
title_full_unstemmed Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso
title_sort value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural burkina faso
publisher BMC
publishDate 2021
url https://doaj.org/article/dda5259e7bee4f28a50edad554062188
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