TY - JOUR
T1 - Contingent Valuation
T2 - A Pilot Study for Eliciting Willingness to Pay for a Reduction in Mortality From Vaccine-Preventable Illnesses for Children and Adults in Bangladesh
AU - Odihi, Deborah
AU - De Broucker, Gatien
AU - Hasan, Zahid
AU - Ahmed, Sayem
AU - Constenla, Dagna
AU - Uddin, Jasim
AU - Patenaude, Bryan
N1 - Funding Information:
Funding/Support: This research was funded by the Bill & Melinda Gates foundation, United States of America (Grant No. OPP1128124 ).
Funding Information:
Author Contributions: Concept and design: Odihi, de Broucker, Hasan, Ahmed, Constenla, Uddin, Patenaude, Acquisition of data: Odihi, de Broucker, Hasan, Ahmed, Constenla, Uddin, Patenaude, Analysis and interpretation of data: Odihi, Uddin, Patenaude, Drafting of the manuscript: Odihi, Uddin, Patenaude, Critical revision of the paper for important intellectual content: Odihi, de Broucker, Hasan, Ahmed, Constenla, Uddin, Patenaude, Statistical analysis: Odihi, Uddin, Patenaude, Provision of study materials or patients: Odihi, Hasan, Obtaining funding: Constenla, Patenaude, Administrative, technical, or logistic support: Odihi, de Broucker, Hasan, Ahmed, Constenla, Supervision: Odihi, Ahmed, Patenaude, Conflict of Interest Disclosures: Drs Odihi, de Broucker, Constenla, and Patenaude reported receiving grants from the Bill & Melinda Gates Foundation during the conduct of the study. Drs Hasan, Ahmed, and Uddin reported receiving grants from Johns Hopkins Bloomberg School of Public Health (subcontract from the Bill & Melinda Gates Foundation) during the conduct of the study. Dr Constenla is employed by GlaxoSmithKline and is a stockholder in the company. Funding/Support: This research was funded by the Bill & Melinda Gates foundation, United States of America (Grant No. OPP1128124). Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Acknowledgment: The authors would like to thank Lisa Robinson (Harvard TH Chan School of Public Health) for her guidance and input as our core advisory expert throughout all the phases of the study implementation and manuscript writing. We are grateful to Logan Brenzel (Bill and Melinda Gates Foundation) for all her insight and input into the study. We would also like to thank members of the International Centre for Diarrheal Disease Research, Bangladesh team, who were very instrumental in the planning phase of the study: Nuruzzaman and Gazi Golam Mehdi, as well as all of the data collectors, Fatema Tuz Zohora Jewena, Liza Akter, Kashfia Hasan, and Mehjabin Alam Hridiembers, for their work and input into the study. We are grateful for the contributions and insight to the study from the DOVE Steering Committee: Lesong Conteh (London School of Economics), Ulla Griffiths (UNICEF), and Solomon Memirie (Addis Ababa University).
Publisher Copyright:
© 2020
PY - 2021/5
Y1 - 2021/5
N2 - Objectives: The contingent valuation (CV) method elicits WTP for calculating the value of statistical life (VSL). CV approaches for assessing VSL are uncommon in many low and middle-income countries (LMICs). Between 2008 and 2018 only 44 articles utilized WTP in a health-related field and of these only 5 (11%) utilized CV to assess the WTP for a mortality risk reduction. We elicit WTP estimates and compute VSL using the CV method in Bangladesh. Methods: The pilot study was primarily aimed at developing best practice guidelines for CV studies in LMICs to get more robust WTP estimates. To this end, we explored three methodological a) Varying the name of the intervention, keeping all other characteristics constant; b) varying the effectiveness of the health intervention and c) offering an overnight period to think about the WTP scenario. The survey was administered 413 randomly selected participants. VSL was for a 1/3000 mortality risk reduction. Results: We had more males (54%) than females (46%) and the mean annual self-reported income was $5,683.36. Mean VSL is $11,339.70 with a median of $10,413. The ratio of child: adult WTP is approximately 1 by both gender and age category. The vaccine intervention had the largest amount of $0 WTP and protest responses (52% and 58% respectively). 93% of the participants were able to describe (teach-back) the vaccine effectiveness using their own family as an example. Conclusion: Our study provides empirical evidence on how to better generate CV surveys to produce more robust WTP estimates.
AB - Objectives: The contingent valuation (CV) method elicits WTP for calculating the value of statistical life (VSL). CV approaches for assessing VSL are uncommon in many low and middle-income countries (LMICs). Between 2008 and 2018 only 44 articles utilized WTP in a health-related field and of these only 5 (11%) utilized CV to assess the WTP for a mortality risk reduction. We elicit WTP estimates and compute VSL using the CV method in Bangladesh. Methods: The pilot study was primarily aimed at developing best practice guidelines for CV studies in LMICs to get more robust WTP estimates. To this end, we explored three methodological a) Varying the name of the intervention, keeping all other characteristics constant; b) varying the effectiveness of the health intervention and c) offering an overnight period to think about the WTP scenario. The survey was administered 413 randomly selected participants. VSL was for a 1/3000 mortality risk reduction. Results: We had more males (54%) than females (46%) and the mean annual self-reported income was $5,683.36. Mean VSL is $11,339.70 with a median of $10,413. The ratio of child: adult WTP is approximately 1 by both gender and age category. The vaccine intervention had the largest amount of $0 WTP and protest responses (52% and 58% respectively). 93% of the participants were able to describe (teach-back) the vaccine effectiveness using their own family as an example. Conclusion: Our study provides empirical evidence on how to better generate CV surveys to produce more robust WTP estimates.
KW - Bangladesh
KW - contingent valuation
KW - dengue
KW - economic burden
KW - stated preference methods
KW - vaccine-preventable diseases
KW - value of statistical life (VSL)
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U2 - 10.1016/j.vhri.2020.10.004
DO - 10.1016/j.vhri.2020.10.004
M3 - Article
C2 - 33508753
AN - SCOPUS:85099992965
SN - 2212-1099
VL - 24
SP - 67
EP - 76
JO - Value in Health Regional Issues
JF - Value in Health Regional Issues
ER -