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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
来源:
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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