@article{ref1,
title="Elaboration and validation of two predictive models of postpartum traumatic stress disorder risk formed by variables related to the birth process: a retrospective  cohort study",
journal="International journal of environmental research and public health",
year="2021",
author="Hernández-Martínez, Antonio and Martínez-Vazquez, Sergio and Rodríguez-Almagro, Julián and Delgado-Rodríguez, Miguel and Martínez-Galiano, Juan Miguel",
volume="18",
number="1",
pages="e92-e92",
abstract="This study aimed to develop and validate two predictive models of postpartum post-traumatic stress disorder (PTSD) risk using a retrospective cohort study of  women who gave birth between 2018 and 2019 in Spain. The predictive models were  developed using a referral cohort of 1752 women (2/3) and were validated on a cohort  of 875 women (1/3). The predictive factors in model A were delivery type,  skin-to-skin contact, admission of newborn to care unit, presence of a severe tear,  type of infant feeding at discharge, postpartum hospital readmission. The area under  curve (AUC) of the receiver operating characteristic (ROC) in the referral cohort  was 0.70 (95% CI: 0.67-0.74), while in the validation cohort, it was 0.69 (95% CI:  0.63-0.75). The predictive factors in model B were delivery type, admission of  newborn to care unit, type of infant feeding at discharge, postpartum hospital  readmission, partner support, and the perception of adequate respect from health  professionals. The predictive capacity of model B in both the referral cohort and  the validation cohort was superior to model A with an AUC-ROC of 0.82 (95% CI:  0.79-0.85) and 0.83 (95% CI: 0.78-0.87), respectively. A predictive model (model B)  formed by clinical variables and the perception of partner support and appropriate  treatment by health professionals had a good predictive capacity in both the  referral and validation cohorts. This model is preferred over the model (model A)  that was formed exclusively by clinical variables.<p /> <p>Language: en</p>",
language="en",
issn="1661-7827",
doi="10.3390/ijerph18010092",
url="http://dx.doi.org/10.3390/ijerph18010092"
}