Literature DB >> 14641394

Early detection and treatment of postnatal depression in primary care.

Bronwen R Davies1, Sarah Howells, Meryl Jenkins.   

Abstract

BACKGROUND: Postnatal depression has a relatively high incidence and gives rise to considerable morbidity. There is sound evidence supporting the use of the Edinburgh Postnatal Depression Scale as a screening tool for possible postnatal depression. AIM: This paper reports on a project developed by two health visitors and a community mental health nurse working in the United Kingdom. The aim of the project was to improve the early detection and treatment of postnatal depression in the population of the general practice to which they were attached.
METHOD: The health visitors screened for postnatal depression in the course of routine visits on four occasions during the first postpartum year. Women identified as likely to be suffering from postnatal depression were offered 'listening visits' as a first-line intervention, with referral on to the general practitioner and/or community mental health nurse if indicated.
FINDINGS: Data collected over 3 years showed that the project succeeded in its aim of enhancing early detection and treatment of postnatal depression. These findings replicate those of other studies. The data also showed that a substantial number of women were identified for the first time as likely to be suffering from postnatal depression at 12 months postpartum. Women screened for the first time at 12 months were at greater risk than those who had been screened earlier than this.
CONCLUSIONS: Health visitors should screen for postnatal depression throughout the period of their contact with mothers, not solely in the immediate postnatal period. It is particularly important to screen women who, for whatever reason, were not screened when their child was younger. The knowledge and skills needed to use the Edinburgh Postnatal Depression Scale and provide first-line intervention and onward referral can be developed at practitioner level through close collaborative working.

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Year:  2003        PMID: 14641394     DOI: 10.1046/j.1365-2648.2003.02799.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  8 in total

1.  Technology-assisted nursing for postpartum support: A randomized controlled trial.

Authors:  Deborah E McCarter; Eugene Demidenko; Tauna S Sisco; Mark T Hegel
Journal:  J Adv Nurs       Date:  2019-07-21       Impact factor: 3.187

2.  Nursing care for postpartum depression, part 1: do nurses think they should offer both screening and counseling?

Authors:  Lisa S Segre; Michael W O'Hara; Stephan Arndt; Cheryl Tatano Beck
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3.  Persistence of Maternal Depressive Symptoms throughout the Early Years of Childhood.

Authors:  Sarah McCue Horwitz; Margaret J Briggs-Gowan; Amy Storfer-Isser; Alice S Carter
Journal:  J Womens Health (Larchmt)       Date:  2009-05       Impact factor: 2.681

4.  Measuring outcomes of digital technology-assisted nursing postpartum: A randomized controlled trial.

Authors:  Deborah E McCarter; Eugene Demidenko; Mark T Hegel
Journal:  J Adv Nurs       Date:  2018-05-17       Impact factor: 3.187

5.  GPs' and health visitors' views on the diagnosis and management of postnatal depression: a qualitative study.

Authors:  Carolyn Chew-Graham; Elizabeth Chamberlain; Katrina Turner; Liz Folkes; Layne Caulfield; Deborah Sharp
Journal:  Br J Gen Pract       Date:  2008-03       Impact factor: 5.386

Review 6.  Postpartum depression on the neonatal intensive care unit: current perspectives.

Authors:  Noor N Tahirkheli; Amanda S Cherry; Alayna P Tackett; Mary Anne McCaffree; Stephen R Gillaspy
Journal:  Int J Womens Health       Date:  2014-11-24

Review 7.  A systematic review of screening for perinatal depression and anxiety in community-based settings.

Authors:  Amritha Bhat; Arjun Nanda; Lauren Murphy; Andrea L Ball; John Fortney; Jodie Katon
Journal:  Arch Womens Ment Health       Date:  2021-07-11       Impact factor: 3.633

8.  Risk factors associated with postpartum depression in the Saudi population.

Authors:  Abeer A Alharbi; Hamza Mohammad Abdulghani
Journal:  Neuropsychiatr Dis Treat       Date:  2014-02-17       Impact factor: 2.570

  8 in total

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