Profile of providers in the management of gender-based violence in the provinces of Haut-Katanga and Lualaba in the Democratic Republic of Congo
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction: In the Democratic Republic of Congo, gender-based violence (GBV) is a persistent health emergency. This study aims to analyze the profile of providers involved in the care of survivors in the provinces of Haut-Katanga and Lualaba, highlighting inequalities in access to training, the distribution of skills and the weaknesses of health facilities. Methodology: This is a multicenter descriptive study of 100 providers working in public, private, humanitarian and university facilities. Data were collected using a structured questionnaire. Statistical analysis used frequencies, percentages and Chi-square tests to identify significant associations. Results: Women were in the majority among claimants (53%), particularly in the 25-45 age group. Less than half of respondents have received training in GBV, with a marked deficit in the public sector (26.2% trained). Nurses and doctors are the most represented, while midwives are marginalized. Rural health centers are largely devoid of specialized units (59.1% not equipped). No significant difference was observed between men and women in terms of access to training. Conclusion: The study reveals a fragmented response to GBV, marked by gaps in training, disparities between structures and under-representation of key players. Structural reform is needed to integrate the management of GBV into health systems in a sustainable way, particularly in rural areas and public services.
Authors: Mukendi, Dodo Manda, Mbang, Pierre Mazono, Manyonga, Emmanuel Tshibangu, Kambote, Athy Kalumba, Kanyama, Astrid Lokotshe, Lukamba, Jerome Nyembo, Mwepu, Cynthia Kitwa, Panshi, Odon Panshi Wa, Mbomba, David Elo, Madika, Salvatrice Masonga, Mutombo, Nathalie Mbuyamba, Ebondo, Jirene Ndjibu, Llunga, Eric Kasamba, Anzwal, Philomene Lungu
Language: English
Subfield: Health
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7109198214
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