Literature DB >> 12752167

A simplified predictive index for the detection of women at risk for postnatal depression.

Joan Webster1, Margo A Pritchard, Debra Creedy, Chris East.   

Abstract

BACKGROUND: Many women who suffer from postnatal depression are never diagnosed or treated. The objective of this study was to develop an index for use in maternity settings that identifies women who may be at risk for postnatal depression.
METHODS: Women (n = 1762) attending the "booking-in" clinic were screened for antenatal risk factors for postnatal depression. On the third postnatal day eligible women were screened for postnatal risk factors. The Edinburgh Postnatal Depression Scale was mailed to participants 16 weeks after the birth. A predictive index was developed, based on the mean Edinburgh Postnatal Depression Scale scores for each risk factor. The sensitivity, specificity, positive predictive value, and negative predictive value were used to assess the diagnostic value of the index.
RESULTS: Seven hundred and twenty-three (50.1%) of the eligible women completed all phases of the study. Of this group, 93 (12.2%) women scored higher than 12 on the Edinburgh Postnatal Depression Scale. At a cutoff of 6, the index had positive predictive value of 39.8 percent for postnatal depression, a threefold improvement over the base rate.
CONCLUSION: The Brisbane Postnatal Depression Index provides a clinically useful method for identifying women at risk for developing postnatal depression. It has applications for early intervention or to identify high-risk groups for research purposes.

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Year:  2003        PMID: 12752167     DOI: 10.1046/j.1523-536x.2003.00228.x

Source DB:  PubMed          Journal:  Birth        ISSN: 0730-7659            Impact factor:   3.689


  8 in total

1.  Mania and depression in the perinatal period among women with a history of major depressive disorders.

Authors:  Angela J Inglis; Catriona L Hippman; Prescilla B Carrion; William G Honer; Jehannine C Austin
Journal:  Arch Womens Ment Health       Date:  2014-01-09       Impact factor: 3.633

2.  Development of multivariable models to predict perinatal depression before and after delivery using patient reported survey responses at weeks 4-10 of pregnancy.

Authors:  Jenna M Reps; Marsha Wilcox; Beth Ann McGee; Marie Leonte; Lauren LaCross; Kevin Wildenhaus
Journal:  BMC Pregnancy Childbirth       Date:  2022-05-26       Impact factor: 3.105

3.  The contribution of Australian residential early parenting centres to comprehensive mental health care for mothers of infants: evidence from a prospective study.

Authors:  Heather J Rowe; Jane Rw Fisher
Journal:  Int J Ment Health Syst       Date:  2010-04-11

Review 4.  Antenatal psychosocial assessment for reducing perinatal mental health morbidity.

Authors:  Marie-Paule Austin; Susan R Priest; Elizabeth A Sullivan
Journal:  Cochrane Database Syst Rev       Date:  2008-10-08

5.  DSM-V: modifying the postpartum-onset specifier to include hypomania.

Authors:  Verinder Sharma; Vivien K Burt
Journal:  Arch Womens Ment Health       Date:  2010-09-25       Impact factor: 3.633

6.  Preventing postnatal depression: a causal mediation analysis of a 20-year preconception cohort.

Authors:  Elizabeth A Spry; Margarita Moreno-Betancur; Melissa Middleton; Louise M Howard; Stephanie J Brown; Emma Molyneaux; Christopher J Greenwood; Primrose Letcher; Jacqui A Macdonald; Kimberly C Thomson; Ebony J Biden; Craig A Olsson; George C Patton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-05-03       Impact factor: 6.671

7.  Validation and Factor Analysis of the Japanese Version of the Highs Scale in Perinatal Women.

Authors:  Aya Yamauchi; Takashi Okada; Masahiko Ando; Mako Morikawa; Yukako Nakamura; Chika Kubota; Masako Ohara; Satomi Murase; Setsuko Goto; Atsuko Kanai; Norio Ozaki
Journal:  Front Psychiatry       Date:  2018-06-28       Impact factor: 4.157

8.  Measuring the risk factors for postpartum depression: development of the Japanese version of the Postpartum Depression Predictors Inventory-Revised (PDPI-R-J).

Authors:  Mari Ikeda; Kiyoko Kamibeppu
Journal:  BMC Pregnancy Childbirth       Date:  2013-05-14       Impact factor: 3.007

  8 in total

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