Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Unit 1414, 11515 Holcombe Boulevard, Houston, TX, 77030, USA.
Department of General Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Support Care Cancer. 2024 Oct 8;32(11):714. doi: 10.1007/s00520-024-08911-7.
Clinicians are often uncertain about their prognostic estimates, which may impede prognostic communication and clinical decision-making. We assessed the impact of a web-based prognostic calculator on physicians' prognostic confidence.
In this prospective study, palliative care physicians estimated the prognosis of patients with advanced cancer in an outpatient clinic using the temporal, surprise, and probabilistic approaches for 6 m, 3 m, 2 m, 1 m, 2 w, 1 w, and 3 d. They then reviewed information from www.predictsurvival.com , which calculated survival estimates from seven validated prognostic scores, including the Palliative Prognostic Score, Palliative Prognostic Index, and Palliative Performance Status, and again provided their prognostic estimates after calculator use. The primary outcome was prognostic confidence in temporal CPS (0-10 numeric rating scale, 0 = not confident, 10 = most confident).
Twenty palliative care physicians estimated prognoses for 217 patients. The mean (standard deviation) prognostic confidence significantly increased from 5.59 (1.68) before to 6.94 (1.39) after calculator use (p < 0.001). A significantly greater proportion of physicians reported feeling confident enough in their prognosis to share it with patients (44% vs. 74%, p < 0.001) and formulate care recommendations (80% vs. 94%, p < 0.001) after calculator use. Prognostic accuracy did not differ significantly before or after calculator use, ranging from 55-100%, 29-98%, and 48-100% for the temporal, surprise, and probabilistic approaches, respectively.
This web-based prognostic calculator was associated with increased prognostic confidence and willingness to discuss prognosis. Further research is needed to examine how prognostic tools may augment prognostic discussions and clinical decision-making.
临床医生对其预后估计往往不确定,这可能会阻碍预后沟通和临床决策。我们评估了基于网络的预后计算器对医生预后信心的影响。
在这项前瞻性研究中,姑息治疗医生使用时间、惊喜和概率方法,分别对门诊晚期癌症患者的 6 个月、3 个月、2 个月、1 个月、2 周、1 周和 3 天的预后进行了估计。然后,他们查看了来自 www.predictsurvival.com 的信息,该网站使用 7 种经过验证的预后评分计算了生存估计,包括姑息预后评分、姑息预后指数和姑息功能状态,然后在使用计算器后再次提供了他们的预后估计。主要结局是时间 CPS(0-10 数字评分量表,0=无信心,10=最有信心)的预后信心。
20 名姑息治疗医生对 217 名患者进行了预后估计。使用计算器后,医生的预后信心评分(0-10 数字评分量表,0=无信心,10=最有信心)从 5.59(1.68)显著增加到 6.94(1.39)(p<0.001)。使用计算器后,更多的医生报告说对自己的预后有足够的信心与患者分享(44%对 74%,p<0.001)并制定护理建议(80%对 94%,p<0.001)。在使用计算器前后,预后准确性没有显著差异,时间、惊喜和概率方法的范围分别为 55-100%、29-98%和 48-100%。
这种基于网络的预后计算器与增加的预后信心和讨论预后的意愿有关。需要进一步研究来检查预后工具如何增强预后讨论和临床决策。