Recording patient preferences for end-of-life care as an incentivized quality indicator: what do general practice staff think?

PALLIATIVE MEDICINE(2012)

引用 8|浏览1
暂无评分
摘要
Introduction: Since April 2009, indicators for the UK Quality and Outcomes Framework pilot have been developed and piloted across a nationally representative sample of practices. In October 2009 a single palliative care indicator was piloted for 6 months that looked at, 'the percentage of patients on the palliative care register who have a preferred place to receive end-of-life care documented in the records'. Aim: The aim of this study was to gain the views and experiences of general practice staff on whether the inclusion of a single incentivized indicator to record the preferred place to receive end-of-life care would improve the quality of palliative care. Any issues arising from its implementation in a pay-for-performance scheme were also explored. Methods: Interviews took place with 57 members of staff in 24 practices: 21 GPs, 16 practice managers, 12 nurses and eight others (mostly information technology experts). Results: The indicator was not deemed appropriate for incentivization due to concerns about incentivizing an isolated, single issue within a multi-faceted, multi-disciplinary and complex topic. Palliative care was seen to be too sensitive and patient specific to be amenable to population-level quality measurement. In implementation, the indicator would pose potential harm to patients who may be asked about their end-of-life care at an inappropriate time and by a member of staff who may not be best placed to address this sensitive topic. Conclusions: The most appropriate time to ask a patient about end-of-life care is subjective and patient specific and therefore does not lend itself to an inflexible single indicator. Focusing on one isolated question simplifies and distracts from a multi-faceted and complex issue and may lead to patient harm.
更多
查看译文
关键词
incentive,palliative care,primary health care,qualitative research
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