谷歌浏览器插件
订阅小程序
在清言上使用

Changes in Opinions on Palliative Sedation of Palliative Care Specialists over 16 Years and Their Effects on Clinical Practice

Supportive care in cancer(2018)

引用 9|浏览20
暂无评分
摘要
PurposesDespite extensive debate on palliative sedation over the last few decades, no studies have explored longitudinal changes in physicians' opinion. Moreover, little is known about how physicians' opinions affect their practice. This study aimed to clarify (1) changes in palliative care specialists' opinions on palliative sedation and (2) the effects of these opinions on clinical practice.MethodsIn 2000 and 2016, nationwide questionnaire surveys involving Japanese palliative care specialists were performed: measurement was based on agreement with opinions on palliative sedation. In 2016, the physicians reported their practice of continuous deep sedation (CDS) and answered their thoughts on what factors lead to a good death as factors potentially affecting their practice.ResultsOf the 695 physicians enrolled in the 2016 survey, 469 responded (67%) and 417 were analyzed (60%). Compared with 54 physicians in 2000, the present respondents were more likely to consider palliative sedation is difficult to perform based on appropriate indications (ES=0.84, P<0.001), is unnecessary if conventional palliative care is performed sufficiently (ES=0.30, P=0.013), and may result in legal action (ES=0.35, P=0.003). The physicians' opinions more strongly affected their practice than their characteristics or thoughts on good death components.ConclusionsRecently, palliative care specialists in Japan tend to encounter more difficulties determining what conventional palliative care is and what palliative sedation is. They also fear legal ramifications. It is necessary to standardize methods of alleviating patients' suffering, to make CDS criteria clearer, and to create a legal basis that respects patients' rights at their end of life.
更多
查看译文
关键词
Palliative sedation,Continuous deep sedation,Legal framework,Patients’ rights,Good death,End of life
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要