Understanding How Solidarity Groups-A Community-Based Economic and Psychosocial Support Intervention-Can Affect Mental Health for Survivors of Conflict-Related Sexual Violence in Democratic Republic of the Congo.


Journal

Violence against women
ISSN: 1552-8448
Titre abrégé: Violence Against Women
Pays: United States
ID NLM: 9506308

Informations de publication

Date de publication:
03 2019
Historique:
pubmed: 19 6 2018
medline: 14 4 2020
entrez: 19 6 2018
Statut: ppublish

Résumé

Solidarity groups were established in eastern Democratic Republic of Congo to provide female survivors of conflict-related sexual violence an opportunity to generate income, establish networks of support, and cope with atrocities. Qualitative data were collected from 12 members of solidarity groups to explore factors that contributed to members' mental health. All women identified some improvement (physiological, psychological, economic, or social) since joining the solidarity group, but none of the women were free from ailments. Our findings suggest that a multifaceted intervention in women's own communities has the potential to improve multiple aspects of women's lives, including mental health.

Identifiants

pubmed: 29911487
doi: 10.1177/1077801218778378
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

359-374

Auteurs

Erica Koegler (E)

1 Johns Hopkins University, Baltimore, MD, USA.
2 University of Missouri, Columbia, USA.

Caitlin Kennedy (C)

1 Johns Hopkins University, Baltimore, MD, USA.

Janvier Mrindi (J)

3 Foundation RamaLevina, Bukavu, Democratic Republic of the Congo.

Richard Bachunguye (R)

3 Foundation RamaLevina, Bukavu, Democratic Republic of the Congo.

Peter Winch (P)

1 Johns Hopkins University, Baltimore, MD, USA.

Paul Ramazani (P)

3 Foundation RamaLevina, Bukavu, Democratic Republic of the Congo.

Maphie Tosha Makambo (MT)

3 Foundation RamaLevina, Bukavu, Democratic Republic of the Congo.

Nancy Glass (N)

1 Johns Hopkins University, Baltimore, MD, USA.

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Classifications MeSH