Literature DB >> 15095798

The early detection of postpartum depression: midwives and nurses trial a checklist.

Barbara Hanna1, Heather Jarman, Sally Savage, Kim Layton.   

Abstract

OBJECTIVE: To evaluate the use of a standard pen-and-paper test versus the use of a checklist for the early identification of women at risk of postpartum depression and to investigate the experiences of nurses in using the checklist.
DESIGN: A prospective cohort design using repeated measures.
SETTING: The booking-in prenatal clinic at a regional hospital in Victoria, Australia, and the community-based postpartum maternal and child health service. PARTICIPANTS: 107 pregnant women over 20 years of age. MAIN MEASURES: Postpartum Depression Prediction Inventory (PDPI), Postpartum Depression Screening Scale (PDSS), Edinburgh Postnatal Depression Scale (EPDS), demographic questionnaire, and data on the outcome from the midwives and nurses.
RESULTS: The PDPI identified 45% of the women at risk of depression during pregnancy and 30% postpartum. The PDSS and EPDS both identified the same 8 women (10%), who scored highly for depression at the 8-week postpartum health visit. Nurses provided 80% of the women with anticipatory guidance on postpartum depression in the prenatal period and 46% of women at the 8-week postpartum health visit. Nurse counseling or anticipatory guidance was provided for 60% of the women in the prenatal period.
CONCLUSION: The PDPI was found to be a valuable checklist by many nurses involved in this research, particularly as a way of initiating open discussion with women about postpartum depression. It correlated strongly with both the PDSS and the EPDS, suggesting that it is useful as an inventory to identify women at risk of postpartum depression.

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Mesh:

Year:  2004        PMID: 15095798     DOI: 10.1177/0884217504262972

Source DB:  PubMed          Journal:  J Obstet Gynecol Neonatal Nurs        ISSN: 0090-0311


  6 in total

1.  Assessing for psychosocial morbidity in pregnant women.

Authors:  Stephen Matthey
Journal:  CMAJ       Date:  2005-08-02       Impact factor: 8.262

2.  Preliminary Psychometric Testing of the Postpartum Depression Predictors Inventory-Revised (PDPI-R) in Portuguese Women.

Authors:  Stephanie Alves; Ana Fonseca; Maria Cristina Canavarro; Marco Pereira
Journal:  Matern Child Health J       Date:  2018-04

3.  Effectiveness of Discharge Education on Postpartum Depression.

Authors:  Deborah McCarter-Spaulding; Stephen Shea
Journal:  MCN Am J Matern Child Nurs       Date:  2016 May-Jun       Impact factor: 1.412

4.  Early detection of mental illness for women suffering high-risk pregnancies: an explorative study on self-perceived burden during pregnancy and early postpartum depressive symptoms among Chinese women hospitalized with threatened preterm labour.

Authors:  Qianqian Ni; Guizhi Cheng; An Chen; Seppo Heinonen
Journal:  BMC Psychiatry       Date:  2020-05-20       Impact factor: 3.630

5.  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

6.  The effect of interpersonal psychotherapy on marriage adaptive and postpartum depression in isfahan.

Authors:  Mahnaz Hajiheidari; Marzieh Sharifi; Fariborz Khorvash
Journal:  Int J Prev Med       Date:  2013-05
  6 in total

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