Evaluation of the clinical application of the Postpartum Depression Predictors Inventory-Revised for postpartum women in China

• Published in: Japan journal of nursing science : JJNS p. e12405
• Main Authors: Zhang, Liu, Li, Yu-Hong, Bu, Yang-Gao, Yang, Fang-Fang, Chen, Yue-Hua, Liao, Pei-Pei, Mu, Ting-Yu, Zhang, Cheng-Lu
• Format: Journal Article
• Language: English
• Published: Japan 17.05.2021
• Subjects: prediction; postpartum depression; validity; PDPI-R; reliability
• ISSN: 1742-7924
• DOI: 10.1111/jjns.12405

This study was designed to assess the clinical applicability of the Postpartum Depression Predictors Inventory-Revised (PDPI-R) during the 1st month following delivery among women in China and to survey the prevalence of postpartum depression (PPD)-related risk factors included in the PDPI-R in this population. This was a cross-sectional study which recruited 447 women from the People's Liberation Army Hospital in Hefei of Anhui province. All participants completed the Chinese version of the PDPI-R (PDPI-R-C) and the Chinese version of the Edinburgh Postnatal Depression Scale (C-EPDS) within 1 month of delivery. The predictive ability of the PDPI-R was then evaluated through receiver operating characteristic (ROC) curve analyses. The PDPI-R-C was able to accurately predict 73.2% of PPD cases (area under the ROC curve = 0.732; 95% CI 0.69-0.78) using a cut-off score of 5.5, as defined by a C-EPDS score of ≥10 (sensitivity = 62.8%; specificity = 73.5%; positive predictive value = 74.5%; negative predictive value = 61.5%). All 13 risk factors in the PDPI-R-C other than socioeconomic status and marital status were associated with the risk of PPD. The PDPI-R-C was found to be an effective and easy-to-implement tool that has promise as a means of screening for PPD in Chinese populations.