title: A comparison of willingness to pay to prevent child maltreatment deaths in Ecuador and the United States.
abstract: Estimating the benefits of preventing child maltreatment (CM) is essential for policy makers to determine whether there are significant returns on investment from interventions to prevent CM. The aim of this study was to estimate the benefits of preventing CM deaths in an Ecuadorian population, and to compare the results to a similar study in a US population. The study used the contingent valuation method to elicit respondents' willingness to pay (WTP) for a 1 in 100,000 reduction in the risk of CM mortality. After adjusting for differences in purchasing power, the WTP to prevent the CM mortality risk reduction in the Ecuador population was $237 and the WTP for the same risk reduction in the US population was $175. In the pooled analysis, WTP for a reduction in CM mortality was significantly impacted by country (p = 0.03), history of CM (p = 0.007), payment mechanism (p < 0.001), confidence in response (p = 0.014), and appropriateness of the payment mechanism (p < 0.001). These findings suggest that estimating benefits from one culture may not be transferable to another, and that low- and middle-income countries, such as Ecuador, may be better served by developing their own benefits estimates for use in future benefit-cost analyses of interventions designed to prevent CM.
authors.affiliation: College of Public Health, University of Georgia, 110 E. Clayton Street, Suite 300, Athens, GA 30602, USA. pcorso@uga.edu
authors.forename: Phaedra S
authors.initials: PS
authors.lastname: Corso
authors.forename: Justin B
authors.initials: JB
authors.lastname: Ingels
authors.forename: M Isabel
authors.initials: MI
authors.lastname: Roldos
mesh_terms: D000328:Adult; D000368:Aged; D002648:Child; D002649:Child Abuse / Q000191:economics* / Q000401:mortality* / Q000517:prevention & control; D003469:Culture; D003625:Data Collection; D004484:Ecuador; D005260:Female; D017048:Health Care Costs; D006801:Humans; D007182:Income; D008297:Male; D008875:Middle Aged; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014481:United States; D055815:Young Adult
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