The value of a statistical life-year in sub-Saharan Africa: evidence from a large population-based survey in Tanzania
Background - The value of a statistical life-year (VSLY) is the central number for the economic allocation of health resources. Nevertheless, empirical data on VSLY are lacking for most low- and middle- income countries. In the absence of empirically established VSLY, researchers typically use an ar...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
5 September 2019
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| In: |
Value in health regional issues
Year: 2019, Volume: 19, Pages: 151-156 |
| ISSN: | 2212-1102 |
| DOI: | 10.1016/j.vhri.2019.07.009 |
| Online Access: | lizenzpflichtig lizenzpflichtig 
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| Author Notes: | Bryan N. Patenaude, Innocent Semali, Japhet Killewo, Till Bärnighausen |
| Summary: | Background - The value of a statistical life-year (VSLY) is the central number for the economic allocation of health resources. Nevertheless, empirical data on VSLY are lacking for most low- and middle- income countries. In the absence of empirically established VSLY, researchers typically use an arbitrary 3-times multiple of per-capita gross domestic product or per-capita income per life-year saved to establish cost-effectiveness. - Objective - In this study, we establish an empirical VSLY for the first time for a community in sub-Saharan Africa. - Methods - To empirically establish VSLY, we randomly selected 4000 individuals in the Ukonga community of Tanzania and employed a contingent valuation survey to measure VSLY. Using the contingent valuation methodology, we elicited willingness to pay for a 2% mortality risk reduction and had individuals convert this into an annualized payment to be paid each year over their expected remaining life. - Results - We compared our elicited value to per-capita income and found that mean VSLY is $9340 (95% CI $6206-$12 373). The mean annual income in our sample was $2069, resulting in a VSLY that is equivalent to 4.5 times per-capita income. - Conclusion - Our results provide empirical evidence to support moving away from using the World Health Organization cost-effectiveness thresholds in practice because they will likely result in inefficient underinvestment in cost-effective interventions, even in relatively poor samples. |
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| Item Description: | Gesehen am 06.04.2020 |
| Physical Description: | Online Resource |
| ISSN: | 2212-1102 |
| DOI: | 10.1016/j.vhri.2019.07.009 |