This report summarizes findings from a gender-based violence (GBV) service gap analysis undertaken in four counties of Kenya (Bomet, Kisumu, Kitui, and Kwale) in October and November 2018. The research was conducted to assess current gaps in services and provide concrete operational recommendations to strengthen awareness, access, and quality of GBV prevention and response services that can inform key sectors that are looking to integrate GBV prevention and response services. Recommendations for the future work relate to three main areas of work: (1) addressing socio-cultural and socioeconomic barriers to help-seeking; (2) addressing institutional barriers to help-seeking; and (3) supporting GBV prevention efforts at the community level. This report summarizes the main findings of research centered around the: availability and quality of GBV prevention and response services, community perceptions and attitudes towards GBV that influence service-seeking behavior, and operational recommendations to strengthen awareness, access, and quality of GBV prevention and response services in Kenya. Section one introduction briefly describes the main findings of the literature review with regards to types and prevalence of GBV, community perceptions and attitudes influencing service seeking behavior, and GBV service provision in Kenya. Section two lays out the methodology of the study, and section three presents and discusses the findings, on which the recommendations in section four are based.
Detalhes
-
Autor
Fernandes,Patricia Maria, Phipps-Ebeler,Verena, Schmidt,Anna Lisa
-
Data do documento
2020/01/01
-
TIpo de documento
Report
-
No. do relatório
148138
-
Nº do volume
1
-
Total Volume(s)
1
-
País
-
Região
-
Data de divulgação
2020/04/30
-
Disclosure Status
Disclosed
-
Nome do documento
Kenya Gender-Based Violence Service Gap Analysis at the County Level
- Exibir mais
Downloads
COMPLETAR RELATÓRIO
Versão oficial do documento (pode conter assinaturas, etc.)
- PDF oficial
- TXT*
- Total Downloads** :
- Download Stats
-
*A versão do texto é um OCR incorreto e está incluído unicamente em benefício de usuários com conectividade lenta.