Defining a screening tool for post-traumatic stress disorder in East Africa: a penalized regression approach.
Front Public Health
; 12: 1383171, 2024.
Article
em En
| MEDLINE
| ID: mdl-38947359
ABSTRACT
Background:
Scalable PTSD screening strategies must be brief, accurate and capable of administration by a non-specialized workforce.Methods:
We used PTSD as determined by the structured clinical interview as our gold standard and considered predictors sets of (a) Posttraumatic Stress Checklist-5 (PCL-5), (b) Primary Care PTSD Screen for the DSM-5 (PC-PTSD) and, (c) PCL-5 and PC-PTSD questions to identify the optimal items for PTSD screening for public sector settings in Kenya. A logistic regression model using LASSO was fit by minimizing the average squared error in the validation data. Area under the receiver operating characteristic curve (AUROC) measured discrimination performance.Results:
Penalized regression analysis suggested a screening tool that sums the Likert scale values of two PCL-5 questions-intrusive thoughts of the stressful experience (#1) and insomnia (#21). This had an AUROC of 0.85 (using hold-out test data) for predicting PTSD as evaluated by the MINI, which outperformed the PC-PTSD. The AUROC was similar in subgroups defined by age, sex, and number of categories of trauma experienced (all AUROCs>0.83) except those with no trauma history- AUROC was 0.78.Conclusion:
In some East African settings, a 2-item PTSD screening tool may outperform longer screeners and is easily scaled by a non-specialist workforce.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Transtornos de Estresse Pós-Traumáticos
/
Programas de Rastreamento
Limite:
Adolescent
/
Adult
/
Female
/
Humans
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Male
/
Middle aged
País/Região como assunto:
Africa
Idioma:
En
Revista:
Front Public Health
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos