Foreit James R, Foreit Karen G Fleischman
The Population Council, 4301 Connecticut Avenue NW, Suite 280, Washington, DC 20008, USA.
Health Policy. 2003 Jan;63(1):37-47. doi: 10.1016/s0168-8510(02)00039-8.
This paper examines the reliability, theoretical and predictive validity of willingness to pay (WTP) surveys for setting prices for reproductive health services in developing countries. Four country applications were conducted; the surveys used similar elicitation methods (a series of three closed-ended questions to cover the range of target prices, followed by a single open ended question to elicit maximum WTP) and samples of current or potential users of family planning, gynecology, and prenatal care services. In all four applications, respondents were able to understand WTP questions and responded with high levels of internal consistency. Evidence supporting theoretical validity was also found in all surveys. Higher income and more highly motivated users had higher WTP than lower income and less motivated users. Predictive validity was assessed in one study. Services utilization predicted by a WTP survey was compared with actual post-price increase utilization. Adding WTP to information already possessed by program managers resulted in a threefold increase in ability to predict utilization change as a result of a price increase, and in nearly half of cases predicted percent change in utilization was within 10% of observed change. WTP surveys when used for reproductive services price setting appear reliable and valid, and improve a program manager's ability to predict client responses to price changes.
本文探讨了支付意愿(WTP)调查在为发展中国家生殖健康服务定价方面的可靠性、理论有效性和预测有效性。开展了四个国家的应用研究;这些调查采用了类似的诱导方法(一系列三个封闭式问题以涵盖目标价格范围,随后是一个开放式问题以引出最高支付意愿),并选取了计划生育、妇科和产前护理服务的当前或潜在使用者作为样本。在所有四个应用研究中,受访者都能够理解支付意愿问题,并且回答具有高度的内部一致性。在所有调查中也都发现了支持理论有效性的证据。收入较高且积极性较高的使用者比收入较低且积极性较低的使用者具有更高的支付意愿。在一项研究中评估了预测有效性。将支付意愿调查预测的服务利用率与价格上涨后的实际利用率进行了比较。将支付意愿添加到项目经理已掌握的信息中,使得预测价格上涨导致的利用率变化的能力提高了两倍,并且在近一半的案例中,预测的利用率变化百分比与观察到的变化相差在10%以内。支付意愿调查在用于生殖服务定价时似乎是可靠且有效的,并且提高了项目经理预测客户对价格变化反应的能力。