Validity of the posttraumatic stress disorders (PTSD) checklist in pregnant women

2.50
Hdl Handle:
http://hdl.handle.net/10757/622252
Title:
Validity of the posttraumatic stress disorders (PTSD) checklist in pregnant women
Authors:
Gelaye, Bizu ( 0000-0001-7934-548X ) ; Zheng, Yinnan; Medina-Mora, Maria Elena; Rondon, Marta B.; Sánchez, Sixto E.; Williams, Michelle A.
Citation:
Validity of the posttraumatic stress disorders (PTSD) checklist in pregnant women 2017, 17 (1) BMC Psychiatry
Publisher:
Biomed Central Ltd
Journal:
BMC Psychiatry
Issue Date:
12-May-2017
URI:
http://hdl.handle.net/10757/622252
DOI:
10.1186/s12888-017-1304-4
Additional Links:
http://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-017-1304-4
Abstract:
Abstract BACKGROUND: The PTSD Checklist-civilian (PCL-C) is one of the most commonly used self-report measures of PTSD symptoms, however, little is known about its validity when used in pregnancy. This study aims to evaluate the reliability and validity of the PCL-C as a screen for detecting PTSD symptoms among pregnant women. METHODS: A total of 3372 pregnant women who attended their first prenatal care visit in Lima, Peru participated in the study. We assessed the reliability of the PCL-C items using Cronbach's alpha. Criterion validity and performance characteristics of PCL-C were assessed against an independent, blinded Clinician-Administered PTSD Scale (CAPS) interview using measures of sensitivity, specificity and receiver operating characteristics (ROC) curves. We tested construct validity using exploratory and confirmatory factor analytic approaches. RESULTS: The reliability of the PCL-C was excellent (Cronbach's alpha =0.90). ROC analysis showed that a cut-off score of 26 offered optimal discriminatory power, with a sensitivity of 0.86 (95% CI: 0.78-0.92) and a specificity of 0.63 (95% CI: 0.62-0.65). The area under the ROC curve was 0.75 (95% CI: 0.71-0.78). A three-factor solution was extracted using exploratory factor analysis and was further complemented with three other models using confirmatory factor analysis (CFA). In a CFA, a three-factor model based on DSM-IV symptom structure had reasonable fit statistics with comparative fit index of 0.86 and root mean square error of approximation of 0.09. CONCLUSION: The Spanish-language version of the PCL-C may be used as a screening tool for pregnant women. The PCL-C has good reliability, criterion validity and factorial validity. The optimal cut-off score obtained by maximizing the sensitivity and specificity should be considered cautiously; women who screened positive may require further investigation to confirm PTSD diagnosis.
Type:
info:eu-repo/semantics/article
Rights:
info:eu-repo/semantics/openAccess
Language:
eng
Keywords:
Post-traumatic stress disorder PTSD Pregnancy; PCL-C; Pregnancy; Psychometrics
ISSN:
1471-244X
Email:
bgelaye@hsph.harvard.edu

Full metadata record

DC FieldValue Language
dc.contributor.authorGelaye, Bizues
dc.contributor.authorZheng, Yinnanes
dc.contributor.authorMedina-Mora, Maria Elenaes
dc.contributor.authorRondon, Marta B.es
dc.contributor.authorSánchez, Sixto E.es
dc.contributor.authorWilliams, Michelle A.es
dc.date.accessioned2017-10-18T14:04:08Z-
dc.date.available2017-10-18T14:04:08Z-
dc.date.issued2017-05-12-
dc.identifier.citationValidity of the posttraumatic stress disorders (PTSD) checklist in pregnant women 2017, 17 (1) BMC Psychiatryes
dc.identifier.issn1471-244X-
dc.identifier.doi10.1186/s12888-017-1304-4-
dc.identifier.urihttp://hdl.handle.net/10757/622252-
dc.description.abstractAbstract BACKGROUND: The PTSD Checklist-civilian (PCL-C) is one of the most commonly used self-report measures of PTSD symptoms, however, little is known about its validity when used in pregnancy. This study aims to evaluate the reliability and validity of the PCL-C as a screen for detecting PTSD symptoms among pregnant women. METHODS: A total of 3372 pregnant women who attended their first prenatal care visit in Lima, Peru participated in the study. We assessed the reliability of the PCL-C items using Cronbach's alpha. Criterion validity and performance characteristics of PCL-C were assessed against an independent, blinded Clinician-Administered PTSD Scale (CAPS) interview using measures of sensitivity, specificity and receiver operating characteristics (ROC) curves. We tested construct validity using exploratory and confirmatory factor analytic approaches. RESULTS: The reliability of the PCL-C was excellent (Cronbach's alpha =0.90). ROC analysis showed that a cut-off score of 26 offered optimal discriminatory power, with a sensitivity of 0.86 (95% CI: 0.78-0.92) and a specificity of 0.63 (95% CI: 0.62-0.65). The area under the ROC curve was 0.75 (95% CI: 0.71-0.78). A three-factor solution was extracted using exploratory factor analysis and was further complemented with three other models using confirmatory factor analysis (CFA). In a CFA, a three-factor model based on DSM-IV symptom structure had reasonable fit statistics with comparative fit index of 0.86 and root mean square error of approximation of 0.09. CONCLUSION: The Spanish-language version of the PCL-C may be used as a screening tool for pregnant women. The PCL-C has good reliability, criterion validity and factorial validity. The optimal cut-off score obtained by maximizing the sensitivity and specificity should be considered cautiously; women who screened positive may require further investigation to confirm PTSD diagnosis.es
dc.formatapplication/pdfes
dc.formatapplication/htmles
dc.language.isoenges
dc.publisherBiomed Central Ltdes
dc.relation.urlhttp://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-017-1304-4es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectPost-traumatic stress disorder PTSD Pregnancyes
dc.subjectPCL-Ces
dc.subjectPregnancyes
dc.subjectPsychometricses
dc.titleValidity of the posttraumatic stress disorders (PTSD) checklist in pregnant womenes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.journalBMC Psychiatryes
dc.description.peerreviewRevisión por pareses_PE
dc.contributor.emailbgelaye@hsph.harvard.edues_PE
This item is licensed under a Creative Commons License
Creative Commons
All Items in UPC are protected by copyright, with all rights reserved, unless otherwise indicated.