Literature DB >> 18689530

Women's care-seeking experiences after referral for postpartum depression.

Wendy Sword1, Dianne Busser, Rebecca Ganann, Theresa McMillan, Marilyn Swinton.   

Abstract

This qualitative descriptive study explored women's care-seeking experiences after referral for postpartum depression. Interviews with 18 participants revealed individual-, social network-, and health system-related factors that hindered and facilitated care seeking. Women's normalizing of symptoms, limited understanding of postpartum depression, waiting for symptom improvement, discomfort discussing mental health concerns, and fears deterred care seeking; symptom awareness and not feeling like oneself were facilitating influences. Family and friends sometimes hindered care seeking because they, too, normalized symptoms or had limited understanding of postpartum depression. Care seeking was facilitated when women encouraged a health professional visit or expressed worry and concern. Health system barriers included normalizing of symptoms, offering of unacceptable interventions, and disconnected care pathways. Care seeking was facilitated by having established and supportive relationships, outreach and follow-up, legitimization of postpartum depression, and timeliness of care. These findings can be used to guide clinical practice and service provision.

Entities:  

Mesh:

Year:  2008        PMID: 18689530     DOI: 10.1177/1049732308321736

Source DB:  PubMed          Journal:  Qual Health Res        ISSN: 1049-7323


  29 in total

1.  Patient perspectives on improving the depression referral processes in obstetrics settings: a qualitative study.

Authors:  Heather A Flynn; Erin Henshaw; Heather O'Mahen; Jane Forman
Journal:  Gen Hosp Psychiatry       Date:  2009-08-27       Impact factor: 3.238

2.  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

Review 3.  Diagnosis and management of perinatal depression and anxiety in general practice: a meta-synthesis of qualitative studies.

Authors:  Elizabeth Ford; Suzanne Lee; Judy Shakespeare; Susan Ayers
Journal:  Br J Gen Pract       Date:  2017-07-17       Impact factor: 5.386

4.  Adapting and testing telephone-based depression care management intervention for adolescent mothers.

Authors:  M Cynthia Logsdon; Melissa Pinto Foltz; Bradley Stein; Wayne Usui; Allan Josephson
Journal:  Arch Womens Ment Health       Date:  2009-12-18       Impact factor: 3.633

5.  Implementation of an evidence-based depression treatment into social service settings: the relative importance of acceptability and contextual factors.

Authors:  Lisa S Segre; Jennifer E McCabe; Sara M Stasik; Michael W O'Hara; Stephan Arndt
Journal:  Adm Policy Ment Health       Date:  2012-05

6.  Prevalence and risk factors for postpartum depressive symptoms among women enrolled in WIC.

Authors:  Jennifer Pooler; Deborah F Perry; Reem M Ghandour
Journal:  Matern Child Health J       Date:  2013-12

7.  Online screening and referral for postpartum depression: an exploratory study.

Authors:  Emily Drake; Erica Howard; Emily Kinsey
Journal:  Community Ment Health J       Date:  2013-01-03

8.  Patient's views on depression care in obstetric settings: how do they compare to the views of perinatal health care professionals?

Authors:  Nancy Byatt; Kathleen Biebel; Liz Friedman; Gifty Debordes-Jackson; Douglas Ziedonis; Lori Pbert
Journal:  Gen Hosp Psychiatry       Date:  2013-08-19       Impact factor: 3.238

9.  Social Support, Postpartum Depression, and Professional Assistance: A Survey of Mothers in the Midwestern United States.

Authors:  Catherine P Corrigan; Andrea N Kwasky; Carla J Groh
Journal:  J Perinat Educ       Date:  2015

10.  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

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