Utilization of a multi-sectoral approach in strengthening cross-sectoral referrals of survivors of sexual violence from the health sector in Kenya
type: CreativeWork
description: Background: Sexual violence policy frameworks and service delivery models are well defined in Kenya. However, little is known about the extent to which different sectors effectively work together to ensure survivors receive comprehensive care. The need for a multi-sectoral response framework has been cited in the literature. Nonetheless, it is not clearly defined what this entails in the Kenyan context. Aim: This thesis aimed at reviewing and documenting the processes involved in the delivery of services by the different sectors with a focus on patient flow, data systems, community perceptions and referral mechanisms The study also aimed to develop an in-depth understanding of the factors that influence reporting of cases of sexual violence, provision of services and uptake of available services. Also explored were the requisites for a coordinated and multi-sectoral approach to sexual violence. Methods: This is a cross-sectional study that applied a mixed-methods approach. Qualitative interviews were conducted with 23 service providers, survivors and caregivers. The quantitative component entailed abstraction of service statistics from records maintained for survivors. A total of 1259 records were obtained from two hospitals, two police stations and two courts in two counties in Kenya. Key informant guides were used for the qualitative interviews, while an Excel data abstraction tool was implemented to capture data obtained from service statistics. Thematic analysis of qualitative data was undertaken using NVivo 12. The records were analysed using SPSS Version 20.0 The Anderson model (1973) informed the interpretation of the qualitative data. Data were triangulated during the analysis across the interviews and service records. Findings: Defilement constitute the largest proportion of cases of sexual violence reported across different sectors. Poor quality of sexual violence data maintained for survivors across different service delivery points presents a difficulty …
abstract: Background: Sexual violence policy frameworks and service delivery models are well defined in Kenya. However, little is known about the extent to which different sectors effectively work together to ensure survivors receive comprehensive care. The need for a multi-sectoral response framework has been cited in the literature. Nonetheless, it is not clearly defined what this entails in the Kenyan context. Aim: This thesis aimed at reviewing and documenting the processes involved in the delivery of services by the different sectors with a focus on patient flow, data systems, community perceptions and referral mechanisms The study also aimed to develop an in-depth understanding of the factors that influence reporting of cases of sexual violence, provision of services and uptake of available services. Also explored were the requisites for a coordinated and multi-sectoral approach to sexual violence. Methods: This is a cross-sectional study that applied a mixed-methods approach. Qualitative interviews were conducted with 23 service providers, survivors and caregivers. The quantitative component entailed abstraction of service statistics from records maintained for survivors. A total of 1259 records were obtained from two hospitals, two police stations and two courts in two counties in Kenya. Key informant guides were used for the qualitative interviews, while an Excel data abstraction tool was implemented to capture data obtained from service statistics. Thematic analysis of qualitative data was undertaken using NVivo 12. The records were analysed using SPSS Version 20.0 The Anderson model (1973) informed the interpretation of the qualitative data. Data were triangulated during the analysis across the interviews and service records. Findings: Defilement constitute the largest proportion of cases of sexual violence reported across different sectors. Poor quality of sexual violence data maintained for survivors across different service delivery points presents a difficulty …
author: Agesa, Carolyne Ajema
keywords: Public Health
date published: 2020
date modified: 2026-07-22T22:22:46Z
provider: University of Cape Town
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Department of Public Health and Family Medicine

PropertyValue
property ID: Handle
value: http://hdl.handle.net/11427/32434