Liyanage Thilini, Mitchell Geoffrey, Senior Hugh
School of Medicine, The University of Queensland, 288 Herston Road, Herston, Brisbane, Qld 4006, Australia.
Aust J Prim Health. 2018 Jan;24(6):524-529. doi: 10.1071/PY17168.
The aim of this study is to determine the accuracy, feasibility and acceptability of the surprise question (SQ) in combination with a clinical prediction tool (Supportive and Palliative Care Indicator Tool (SPICT)) in identifying residents who have palliative care needs in residential aged care facilities (RACFs) in Australia. A prospective cohort study in two RACFs containing both high-level care (including dementia) and low-level care beds. Directors of Nursing screened 187 residents at risk of dying by 12 months using first the SQ, and if positive, then the SPICT. At 12-months follow-up, deaths, hospitalisations, use of palliative care services, end-of-life care and clinical indicators were recorded. The SQ had a sensitivity of 70%, a specificity of 69.6%, a positive predictive value of 40.6% and a negative predictive value of 88.7% for death. All residents identified by the SQ had at least two general indicators of deterioration, while 98.8% had at least one disease-specific indicator on the SPICT. The SPICT marginally increased the ability to identify residents in need of proactive end-of-life planning. A combination of the SQ and the SPICT is effective in predicting palliative care needs in residents of aged care facilities, and may trigger timely care planning.
本研究旨在确定“意外问题”(SQ)与临床预测工具(支持性和姑息性护理指标工具(SPICT))相结合,在识别澳大利亚老年护理机构(RACFs)中有姑息治疗需求的居民方面的准确性、可行性和可接受性。在两个同时设有高级护理(包括痴呆症护理)和低级护理床位的老年护理机构中进行了一项前瞻性队列研究。护理主任首先使用SQ对187名预计12个月内有死亡风险的居民进行筛查,若结果为阳性,则使用SPICT进行筛查。在12个月的随访中,记录死亡、住院、姑息治疗服务使用情况、临终护理和临床指标。SQ对死亡的敏感性为70%,特异性为69.6%,阳性预测值为40.6%,阴性预测值为88.7%。所有经SQ识别出的居民至少有两项病情恶化的一般指标,而98.8%的居民在SPICT上至少有一项疾病特异性指标。SPICT在一定程度上提高了识别需要积极进行临终规划居民的能力。SQ和SPICT相结合能有效预测老年护理机构居民的姑息治疗需求,并可能促使及时进行护理规划。