Reviewing emergency care systems 2: measuring patient preferences using a discrete choice experiment

紧急护理系统评估2:利用离散选择实验测量患者偏好

阅读:1

Abstract

OBJECTIVE: To investigate patients' strength of preferences for attributes associated with modernising delivery of out of hours emergency care services in Nottingham. METHODS: A discrete choice experiment was applied to quantify preferences for key attributes of out of hours emergency care. The attributes reflected the findings of previous research, current policy initiatives, and discussions with local key stakeholders. A self complete questionnaire was administered to NHS Direct callers and adults attending accident and emergency, GP services and NHS walk-in centre. Regression analysis was used to estimate the relative importance of the different attributes. RESULTS: Response was 74% (n = 457) although 61% (n = 378) were useable. All attributes were statistically significant. Being consulted by a doctor was the most important attribute. This was followed by being consulted by a nurse, being kept informed about waiting time, and quality of the consultation. Respondents were prepared to wait an extra 2 hours 20 minutes to be consulted by a doctor. There were no measurable preference differences between patients surveyed at different NHS entry points. Younger respondents preferred single telephone call access to health care out of hours. Although having services provided close to home and making contact in person were generally preferred, they were less important than others, suggesting that a range of service locations may be acceptable to patients. CONCLUSIONS: This study showed that local solutions for reforming emergency out of hours care should take account of the strength of patient preferences. The method was acceptable and the results have directly informed the development of a local service framework for emergency care.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。