Individual treatment selection for patients with post-traumatic stress disorder: External validation of a personalised advantage index

被引:3
作者
Tait, James [1 ]
Kellett, Stephen [2 ]
Saxon, David [3 ]
Deisenhofer, Anne-Katharina [4 ]
Lutz, Wolfgang [4 ]
Barkham, Michael [3 ]
Delgadillo, Jaime [3 ]
机构
[1] Univ Sheffield, Sch Psychol, ICOSS Bldg,219 Portobello, Sheffield S1 4DP, England
[2] RDaSH NHS Fdn Trust, Grounded Res, Doncaster, England
[3] Univ Sheffield, Sch Psychol, Clin & Appl Psychol Unit, Sheffield, England
[4] Univ Trier, Dept Psychol, Clin Psychol & Psychotherapy, Trier, Germany
关键词
psychotherapy; posttraumatic stress disorder; mental health services; machine learning; clinical models; external validity; COGNITIVE-BEHAVIORAL THERAPY; PREDICTIVE MODELS; PROPENSITY SCORE; DEPRESSION; SAMPLE; SIZE; ANXIETY; WORK; PTSD; BIAS;
D O I
10.1080/10503307.2024.2360449
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
ObjectiveTo test the predictive accuracy and generalisability of a personalised advantage index (PAI) model designed to support treatment selection for Post-Traumatic Stress Disorder (PTSD).MethodA PAI model developed by Deisenhofer et al. (2018) was used to predict treatment outcomes in a statistically independent dataset including archival records for N = 152 patients with PSTD 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.ResultsThe 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.ConclusionThis PAI model did not generalise to an external validation sample.
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页数:14
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