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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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) |
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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 |
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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 |
work_keys_str_mv |
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