van der Wulp Ineke, van den Hout Wilbert B, de Vries Marieke, Stiggelbout Anne M, van den Akker-van Marle Elske M
Department of Medical Decision Making, University Medical Center Leiden, Leiden, the Netherlands.
BMJ Open. 2012 Apr 5;2(2):e001021. doi: 10.1136/bmjopen-2012-001021. Print 2012.
Cost-effectiveness is an important criterion in the decision to cover interventions in health insurance packages. One of the outcome measures, the quality-adjusted life year, has been criticised on its assumptions and implications concerning life expectancy and quality of life. Several studies have been conducted that measured societal preferences concerning healthcare rationing decisions. These studies mainly focused on one attribute. To adjust quality-adjusted life year maximisation in accordance with societal preferences, the relative importance of attributes should be studied. The present study aims to measure the relative importance of age, gender, socioeconomic status, pre-intervention health state, treatment effect, chance of treatment success and number of people in need of the intervention. A secondary objective is to compare the validity of the willingness to pay method with the validity of a relatively new preference elicitation method, best-worst scaling.
A representative sample of 2000 Dutch citizens, over 18 years of age, are recruited to complete a web-based survey containing treatment scenarios. The scenarios present different levels of attributes. Respondents are asked to select one of the four scenarios that they prefer to be covered by the Dutch standard health insurance package and one that they prefer not to be covered. They are also asked to indicate how much they are willing to pay for each treatment scenario. At the end of the survey, respondents are asked to rate every attribute on a 1-10 scale. Two versions of the questionnaire are developed which differ on the framing, that is, treatments can be added to or removed from the insurance package. The data will be analysed by means of sequential conditional logit analysis (best-worst scaling) and analysis of variance (willingness to pay).
The protocol is reviewed and approved by the medical ethical committee of the University Medical Center Leiden.
成本效益是决定将干预措施纳入健康保险套餐的一项重要标准。其中一项结果指标——质量调整生命年,因其在预期寿命和生活质量方面的假设及影响而受到批评。已经开展了多项研究来衡量社会对医疗资源分配决策的偏好。这些研究主要聚焦于一个属性。为了根据社会偏好调整质量调整生命年最大化,应研究各属性的相对重要性。本研究旨在衡量年龄、性别、社会经济地位、干预前健康状况、治疗效果、治疗成功几率以及需要干预的人数等属性的相对重要性。第二个目标是比较支付意愿法与一种相对较新的偏好 elicitation 方法——最佳 - 最差标度法的有效性。
招募了2000名18岁以上的荷兰公民作为代表性样本,以完成包含治疗场景的网络调查。这些场景呈现了不同水平的属性。要求受访者从四个场景中选择一个他们希望被荷兰标准健康保险套餐覆盖的场景,以及一个他们不希望被覆盖的场景。还要求他们表明愿意为每个治疗场景支付多少钱。在调查结束时,要求受访者对每个属性按1 - 10分进行评分。开发了两个版本的问卷,它们在框架上有所不同,即治疗可以被添加到保险套餐中或从保险套餐中移除。数据将通过顺序条件逻辑分析(最佳 - 最差标度法)和方差分析(支付意愿)进行分析。
该方案已由莱顿大学医学中心的医学伦理委员会审查并批准。