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Health preferences and preventive care utilisation: How EQ-5D-5L health preferences may affect uptake

机译:健康偏好和预防性护理利用:EQ-5D-5L健康偏好如何可能影响摄取

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摘要

Despite the economic and health benefits of preventive care being well established, the uptake of many cost-effective preventive services remains lower than desired in many cases, especially among specific sub-populations. The value an individual places on health can influence their uptake of preventive care. One way to capture the value an individual places on health and future health status is to examine their health preferences. This study used a novel use of EQ-5D-5L health preferences to determine if health preferences are associated with the uptake of a range of preventive care services, including a cancer screening, blood pressure check, cholesterol check, blood test and urine test. We collected EQ-5D-5L composite time trade-off data in 2018/2019 on 242 respondents residing in Ireland. We estimated an initial tobit model to predict an individual’s health preference to capture health preferences as a regressor. We then estimated a bivariate probit model to examine the uptake of each preventive service and GP use. Each model controlled for health preferences, education, sex, type of health coverage, self-reported health, employment status, age and marital status. Health preferences are a significant determinant of all five preventive services while controlling for other covariates. The results shows that the higher an individual values good health, the more likely they are to avail of preventive care. Health preferences can be noted as a potential determinant of preventive care use that could guide policy responses seeking to increase demand-side factors for preventive care uptake.
机译:尽管预防性保健经济和健康益处,但许多成本效益的预防服务的吸收仍然低于许多情况下的预防服务,特别是在特定子群体中的许多情况下。卫生上个体的价值可以影响他们对预防性的影响。捕捉价值的一种方法是一个有关健康和未来健康状况的个人场所是检查他们的健康偏好。本研究使用了新颖的使用EQ-5D-5L健康偏好,以确定健康偏好是否与一系列预防性保健服务的摄取有关,包括癌症筛查,血压检查,胆固醇检查,血液测试和尿液试验。我们在2018/2019年收集了EQ-5D-5L综合时间权衡数据,留在爱尔兰的242名受访者。我们估计了初始TOBBIT模型,以预测个人的健康偏好,以捕捉健康偏好作为回归。然后,我们估计了一款双变量概率模型,以检查每个预防性服务和GP使用的摄取。每个模型控制健康偏好,教育,性别,健康覆盖类型,自我报告的健康,就业状况,年龄和婚姻状况。健康偏好是所有五种预防服务的重要决定因素,同时控制其他协变量。结果表明,个体价值越高,健康状况良好,它们越有可能利用预防性护理。可以注意到健康偏好作为预防性护理的潜在决定因素,可以指导寻求增加预防性护理的需求侧因素的政策反应。

著录项

  • 期刊名称 Preventive Medicine Reports
  • 作者单位
  • 年(卷),期 2021(-1),-1
  • 年度 2021
  • 页码 -1
  • 总页数 6
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

    机译:爱尔兰;EQ-5D-5L;健康偏好;与健康相关的行为;健康结果;预防性保健决定因素;

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