Tait James, Kellett Stephen, Saxon David, Deisenhofer Anne-Katharina, Lutz Wolfgang, Barkham Michael, Delgadillo Jaime
School of Psychology, University of Sheffield, ICOSS Building, 219 Portobello, Sheffield, S1 4DP, United Kingdom.
Grounded Research, RDaSH NHS Foundation Trust, Doncaster, United Kingdom.
Psychother Res. 2024 Jun 11:1-14. doi: 10.1080/10503307.2024.2360449.
To test the predictive accuracy and generalisability of a personalised advantage index (PAI) model designed to support treatment selection for Post-Traumatic Stress Disorder (PTSD).
A PAI model developed by Deisenhofer et al. (2018) was used to predict treatment outcomes in a statistically independent dataset including archival records for = 152 patients with PTSD who accessed either trauma-focussed cognitive behavioural therapy or eye movement desensitisation and reprocessing in routine care. Outcomes were compared between patients who received their PAI-indicated optimal treatment versus those who received their suboptimal treatment.
The model did not yield treatment specific predictions and patients who had received their PAI-indicated optimal treatment did not have better treatment outcomes in this external validation sample.
This PAI model did not generalise to an external validation sample.
测试一种个性化优势指数（PAI）模型的预测准确性和通用性，该模型旨在为创伤后应激障碍（PTSD）的治疗选择提供支持。
使用Deisenhofer等人（2018年）开发的PAI模型，在一个统计独立的数据集中预测治疗结果，该数据集包括152名PTSD患者的档案记录，这些患者在常规护理中接受了以创伤为重点的认知行为疗法或眼动脱敏再处理疗法。比较接受PAI指示的最佳治疗的患者与接受次优治疗的患者的结果。
该模型没有产生特定于治疗的预测，并且在这个外部验证样本中，接受PAI指示的最佳治疗的患者没有更好的治疗结果。
这个PAI模型不能推广到外部验证样本。
