The study aimed to provide scientific evidence to support school actions for the prevention of gender-based violence (GBV), specifically in the Brazilian context. Brazil presents high GBV indexes, ranking fifth in the world in femicide. With regard to violence in school, girls are the main victims of sexual-based violence and GBV. Preventive actions must be taken to avoid such occurrence. Searches conducted in Brazilian scientific databases retrieved no review of research on GBV prevention, so we conducted a thorough review of the topic, encountering a small number of articles in Brazilian databases. National and international scientific productions on the theme were compared to identify if the low production is characteristic only in Brazil or in the international context as well. Searches were conducted in Brazilian and international databases using GBV and school-related descriptors. A national data search retrieved 431 entries, while 222 papers were obtained in the international literature. The inclusion criteria for the analyses was the mention, in the abstract, of any form of action within school addressing GBV prevention. This screening selected 11 studies in the Brazilian databases and 30 articles in the international literature. Transformative or exclusionary elements were identified in the texts, focusing on different school levels and also lawmaking. Because of restrictions imposed by the data set, a descriptive analysis was conducted. In the international literature, it was possible to identify that recent research has been analyzing actions developed in schools aiming for GBV prevention and some of their impacts. Brazilian literature has been focusing primarily on describing actions rather than evaluating their impacts or describing GBV prevalence. The targeted population includes teachers, sports coaches, male and female students of different educational levels, whole school community, family, and surrounding communities. The actions described in the international dataset are most frequently conducted in an extracurricular context and are primarily focusing on raising awareness about GBV and on providing information. The Brazilian studies indicate few actions conducted within the school. The analysis indicated characteristics in school-actions that contribute to preventing and overcoming GBV, such as working with the whole school community, empowering women and strengthening egalitarian masculinities, bystander training, and implementing laws and policies.

In present times, gender-based violence (GBV) is a global scourge. It is highly prevalent in South Africa, where the rates of incidents are exorbitant, particularly those of sexual violence against women. The goal of this paper is to explore the implications of factors such as societal norms affected by the country’s unique historical circumstances that promote rising rates of gender-based violence, significant underreporting of these instances, sexual violence and the consequences for the survivors. The paper uses secondary data to study the intersectionality of gender, population group (race), socio-economic status, and geographical location. We further analyze the sociodemographic of GBV (particularly rape) victims and perpetrators to put the focus on better and more gender-responsive prevention strategies. The paper highlights the importance of paying attention to intimate partner violence (IPV) as this constitutes a highly significant percentage of the total cases of rape and femicide. The study shows that non-white women constitute the most vulnerable group to GBV. We conclude that proper mechanisms must be put in place which require the cooperation of the police, judicial, medical, social and other support services to properly tackle this violence which must account for every population group, especially the historically marginalized ones.Citation: Alvarez Merino, E., & Afa, I. J. (2025). Exploring the Complexities of Gender-Based Violence in South Africa: A Comprehensive Analysis. International Journal of Humanities and Social Science, 15, 26-38. https://doi.org/10.1080/ijhss.v15p3URL: https://ijhssnet.com/journal/index/5011

This dataset contains normalized subject indexing data of K10plus library union catalog. It includes links between bibliographic records in K10plus and concepts (subjects or classes) from controlled vocabularies:

• kxp-subjects_2022-06-30.tsv.gz: TSV format
• kxp-subjects_2022-06-30.nt.gz: RDF format (in form of NTriples)
• vocabularies.json: information about vocabularies

K10plus

K10plus is a union catalog of German libraries, run by library service centers BSZ and VZG since 2019. The catalog contains bibliographic data of the majority of academic libraries in Germany. Bibliographic records in K10plus are uniquely identified by a PPN identifier.

Several APIs exist to retrieve more data for a record via its PPN, e.g. link into K10plus OPAC:

https://opac.k10plus.de/PPNSET?PPN={PPN}

Retrieve full record in MARC/XML format:

https://unapi.k10plus.de/?format=marcxml&id=opac-de-627:ppn:{PPN}

Get formatted citation for display:

https://ws.gbv.de/suggest/csl2?citationstyle=ieee&language=en&database=opac-de-627&query=pica.ppn=${PPN}

APIs to look up more data from a notation or identifier of a vocabulary can be found in https://bartoc.org/. For instance BK class 58.55 can be retrieved via DANTE API:

https://api.dante.gbv.de/data?uri=http%3A%2F%2Furi.gbv.de%2Fterminology%2Fbk%2F58.55

See vocabularies.json for mapping of vocabulary symbol to BARTOC URI and additional information.

Statistics

The TSV dataset is 24,009,936 records and 82,937,252 links to concepts.

Number of concepts per vocabulary:

asb   5340
stw  104118
nlm  129289
ssd  153242
kab  159543
sfb  432141
sdnb   4593798
lcc  5232208
ddc  9248794
rvk 10172838
bk  13321229
gnd 39384712

Number of RDF Triples: 82,937,252

TSV

The .tsv file contains three tab-separated columns:

1. Bibliographic record identifier (PPN)
2. Vocabulary symbol
3. Notation or identifier in the vocabulary

An example:

0010000011 bk 58.55
0010000011 gnd 4036582-7

Record 0010000011 is indexed with class 58.55 from Basic Classification and with authority record 4036582-7 from Integrated authority file.

RDF

The NTriples file contains the same information as given in TSV file but identifiers are mapped to URIs. An example:

<http://uri.gbv.de/document/opac-de-627:ppn:0010000011> <http://purl.org/dc/terms/subject> <http://d-nb.info/gnd/4036582-7> .
<http://uri.gbv.de/document/opac-de-627:ppn:0010000011> <http://purl.org/dc/terms/subject> <http://uri.gbv.de/terminology/bk/58.55> .

Changelog

• 2022-08-24: Fixed GND URIs, added LCC and KAB (https://doi.org/10.5281/zenodo.7018350)
• 2022-08-24: First version (https://doi.org/10.5281/zenodo.7016626)

License and provenance

All data is public domain but references are welcome. See https://coli-conc.gbv.de/ for related projects and documentation.

The data has been derived from a larger datase of all subject indexing data, published at https://doi.org/10.5281/zenodo.6817455.

This dataset has been created with public scripts from git repository https://github.com/gbv/k10plus-subjects. Comments and feature requests are welcome!

This dataset contains a an extract of K10plus library union catalog with its subject indexing data: kxp-subjects-sample_2022-06-30.dat : a random sample fo 10.000 records kxp-subjects_2022-06-30_??of10.dat : the full data (47.686.063 records) split in files of up to 5.000.000 records each K10plus is a union catalog of German libraries, run by library service centers BSZ and VZG since 2019. The catalog contains bibliographic data of the majority of academic libraries in Germany. The core data of K10plus is made available as OpenData via APIs and in form of database dumps. More information can be found here: K10plus homepage (in German) K10plus Open Data page (in German) Traditional search interface (OPAC) Data format The data is provided in its raw internal format called PICA+ to not loose information during conversion. In particular the data is given in PICA Normalized Format with one record per line. Each record consists of a list of fields and each field consists of a list of subfields. The data can best be processed with command line tools pica-rs or picadata. A detailled description of PICA format and its processing is given in the German textbook Einführung in die Verarbeitung von PICA-Daten. For visual inspection PICA Normalized Format is best converted into PICA Plain Format (pica-rs command pica print). The following example record contains seven fields: 003@ $0010003231 013D $9104450460$VTsvz$3209786884$7gnd/4151278-9$aEinführung 044K $9106080474$VTsv1$7gnd/4077343-7$3209204761$aSekte 044N $aReligionsgemeinschaft 045E $a12 045F $a291 045Q/01 $9181570408$VTkv$a11.97$jNeue religiöse Bewegungen$jSekten 045R $91270641751$VTkv$7rvk/11410:$3200641751$aBG 9600$jAllgemeines$NB$JTheologie und Religionswissenschaften$NBG$JFundamentaltheologie$NBG 9020-BG 9790$JKirche und Kirchen$NBG 9600-BG 9720$JFreikirchen und Sekten 045V $a1 Each K10plus record is uniquely identified by its record identifier PPN, given in field 003@ subfield $0. The PPN can be used: to link into K10plus catalog, e.g. https://opac.k10plus.de/DB=2.299/PPNSET?PPN=010003231 to retrieve the record in other formats via API, e.g. https://unapi.k10plus.de/?id=opac-de-627:ppn:010003231&format=marcxml (MARC/XML format) and https://ws.gbv.de/suggest/csl/?query=pica.ppn=010003231&citationstyle=ieee&language=de (Citation Format) Scope of the data The data is limited to records having a least one holding by a library participating in K10plus. Records are provided with “offline expansion” (some subfield have been added automatically to facilitate re-use of the data) and limited to the following fields: 003@ with internal record identifier “PPN” in subfield $0 013D type of content 013F target audience 041A keywords 044. all subject indexing fields starting with 044 045. all subject indexing fields starting with 045 144Z local library keywords 145S local library classification 145Z local library classification Documentation of the fields can be found at https://format.k10plus.de/k10plushelp.pl?cmd=pplist&katalog=Standard#titel The current dump contains 47.686.063 records with subject indexing out of 74.127.563 K10plus records in total. For reference, the dump has been created and split from a full dump of K10plus with script extract.sh. Processing examples Extract CSV file of PPN and RVK-Notation: pica filter '045R?' kxp-subjects_2022-06-30.dat | pica select '003@$0,045Ra' Get a list of PPN of records having RVK but not BK: pica filter '045R? & !045Q/01' kxp-subjects_2022-06-30.dat | pica select '003@$0' See https://github.com/gbv/k10plus-subjects#readme for additional examples of data analysis. Automatic download Given the Zenodo Record ID (e.g. 6810556), a list of all files can be generated with curl and jq: curl -sL https://zenodo.org/api/records/$ID | jq -r '.files|map([.key,.links.self]|@tsv)[]' Changes 2022-06-30: update with additional fields 013D and 013F (47.686.064 records) 2021-06-30: first published dump (41.786.820 records) License https://creativecommons.org/publicdomain/zero/1.0/

In 2023, almost one out of three ever-partnered Turkish women had experienced domestic violence. In comparison, only 12 percent of women living in Switzerland had experienced domestic violence in their lifetime.

Abstract

Uganda is home to over 1.5 million refugees, mostly from South Sudan, the Democratic Republic of the Congo and Burundi. With over 4,000 GBV incidents in the first 10 months of 2021, prevention and response activities remain a priority for the operation. Over 1,500 survivors of gender-based violence (GBV) received cash assistance from UNHCR, to help the recovery from traumatic experiences and cover the basic needs of her family. This intervention is part of a broader programme financed by the Central Emergency Response Fund (CERF) in 2021 to strengthen GVB prevention and response in five refugee settlements in Uganda, namely Rhino Camp, Bidibidi, Adjumani, Palorinya and Kyangwali. Following an in-depth needs assessment, UNHCR provided the cash assistance via mobile money to over 1,500 women at risk and GBV survivors. Each woman received approximately US $46 a month for eight months, in addition to a cellular phone and financial literacy training.

This data is the result of a household survey used to measure the results of the programme. Data was collected via telephone interviews using a structured individual-level questionnaire.

Geographic coverage

Adjumani, Bidibidi, Kyangwali, Palorinya and Rhino Camps

Analysis unit

Households

Universe

All recipients of cash assistance

Kind of data

Sample survey data [ssd]

Sampling procedure

Simple random sampling of 1676 beneficiaries

Mode of data collection

Computer Assisted Telephone Interview [cati]

Objective: The study aimed to explore and understand the perception and perceived effectiveness of measures implemented to address Violence Against Women (VAW) in the Women's Emergency Centers (CEM in Spanish) in Northern Peru. Methodology: A multimethodological approach was adopted, using a descriptive correlational design. 48 CEM workers were included, representing various roles and genders. Data collection was carried out through an online structured questionnaire, validated by experts with a Cronbach's alpha coefficient of 0.7. Analyses encompassed descriptive tests, Spearman correlations, chi², and multiple regressions, using SPSS and Jamovi statistical software. Results: It was identified that physical violence was statistically higher than psychological violence, and the latter was higher than sexual violence. Additionally, a significant relationship was evidenced between the perception of violence and the perceived effectiveness of the measures implemented in the CEM. Conclusion: The perception of VAW in the CEM of Northern Peru is multifaceted, with physical violence being the most prevalent. Although there is a perceived moderate effectiveness of existing measures, it is essential to consider contextual and cultural factors in future interventions and studies. Recommendations include strengthening prevention and care strategies, as well as promoting greater community awareness of the various forms of VAW.

Biological Magnetic Resonance Bank Entry 5980: Structure Function Analysis of the Stemp Loop IIIc of HCV and GBV-B IRES

Abstract

Background

Even prior to the adoption of the Millennium Development Goals (MDGs), the Government of Uganda (GoU) had devoted considerable attention to the issues of gender inequality. Indeed, affirmative action programs, such as those focusing on female education, have been in existence since the early 1990s. Specifically, in 1991, female students were provided with additional points to help them qualify for tertiary education. Other examples in the education sector have included the Universal Primary Education (UPE) program initiated in the mid 1990s. There is evidence to show that as a result of this particular program, the gender gap in enrolment was eliminated (Deininger, 2003). Despite success in reducing gender disparities in education, inequalities remain in most other socio-economic relations. A recent World Bank report concluded that without addressing gender inequalities in the control of resources, Uganda's economic growth would remain subdued (Amanda, et al. 2006).
Despite efforts to improve wellbeing within the household and to directly empower women in Uganda, the control of productive resources, such as access to credit and the ownership of land, is still biased against women. For example, the results from the 2005/2006 national household survey revealed that female household heads owned only 14 percent of land in Uganda. Furthermore, the incidence of receiving credit for women is only 9.3 percent as compared to 18.2 percent for men. Such unequal distribution of resources not only perpetuates the status quo but also negatively impacts on overall national production. There is global evidence indicating that increasing women's access to productive resources can trigger national productivity growth by as much as 20 percent (World Bank, 2001). Within sub-Saharan Africa, there is evidence to show that gender inequalities with regard to productive assets, has far reaching implications beyond the household level. According to Ellis (2006), there is cross country evidence showing that gender inequalities in sub-Sahara Africa (SSA) negatively affects the rate of GDP growth.
The Uganda Bureau of Statistics (UBoS) has, since 1992 conducted nationally representative surveys at household level. The analysis based on these surveys has provided empirical evidence in informing and influencing socio-economic policy in Uganda. However, due to the high costs of survey data collection and a diverse range of national data priorities, there has been a limited focus on gender issues within the household surveys. In the past, some aspects of intra-household resource allocation have been inferred based on the gender of the household head. In its regular surveys, UBoS does collect individual information on education and health. However, information on household assets is gathered at household level. Ideally, such information should be collected at the individual level in order to understand how gender dynamics influence intra-household resource allocation, and in turn, impact on productivity. However, as highlighted in the international literature on asset ownership (e.g. Doss, 2006; Deere and Doss, 2006), most assets are held by individuals and not by the household as a whole. Consequently, it is important to understand how differences in women's and men's ownership and control of assets impacts on overall welfare outcomes. This is one of the reasons why a survey on gender and productivity was undertaken. While there have been attempts by individual researchers to collect information on intra-household issues, relating to gender in particular, most of these investigations were based on small samples. Findings based on such limited samples limit the usefulness of using the findings in informing policy at national level. Most importantly, small samples are inadequate for monitoring national programs such as the targets set by the Poverty Eradication Action Plan (PEAP) and the proposed National Development Plan (NDP). In order to fill this void, Office of Prime Minster (OPM); the agency responsible for coordinating the monitoring the social outcomes, in Uganda in collaboration with the International Centre on Research on Women (ICRW), commissioned a comprehensive survey on gender and productivity in Uganda. Furthermore, this unique survey was intended to contribute to the knowledge base of the National Integrated Monitoring and Evaluation Strategy (NIMES) monitoring process. Therefore, this survey provides the data necessary to engender development indicators as defined in the PEAP and NDP results and policy matrix. The survey Objectives The objective of the survey was to provide data and information for the PEAP implementation review with a focus on the various aspects of gender as outlined in the PEAP. The survey also provides data at the individual level which can enable policy makers to understand how gender dynamics influence intra-household resource allocation and in turn impact on productivity at household level. The specific objectives of the survey were to:
· Obtain nationally representative information on gender and productivity in Uganda; · Provide nationally representative data necessary to engender indicators in Uganda's national plan; and · Monitor and understand progress towards achieving the PEAP and the MDGs. Scope and coverage Three modules were covered in this survey, namely: the household module; a module for eligible women and men; and the service provider's module. The household module was administered to collect information on household characteristics as well as employment status. The service provider module contained the following questionnaires: the police questionnaire; the health facility questionnaire; the questionnaire for the probation officer; and finally, the questionnaire for LC1/community leaders who handle women's issues. In addition, a woman and man's questionnaire were administered to eligible persons in the household. In the survey, an eligible person was defined as a woman or man, aged 15 years and above, who was currently married or had been in a marital union in the past 12 months prior to the survey. In cases where a number of women in the same household were eligible for interview, only one was randomly selected using the KISH grid. The household modules covered the following areas: · individual characteristics of household members including marital status; · education- schooling status of household members and expenditures on schooling; · general health covering: disease incidence, access to facilities, and types of illnesses; · housing and household conditions; · labour force participation including usual activity status, time use and wages/earnings; and · household and enterprise assets. The individual woman's and man's questionnaires collected the following information: · women's child birth history; · reproductive health; · background of current partner; · child birth history; · household and enterprise assets; · time use for household chores and responsibilities; · attitudes towards gender roles; · roles in decision making; and · history of marital violence.

Given that the survey had a special interest in gender violence, that is, its manifestations and the institutions that deal with gender violence, related modules were included in the survey. Specifically, these extra modules collected information on: health facilities, the law enforcement agencies (police), district probation office and LC1 officials responsible for gender. These particular modules were administered at the respective facilities in order to capture their contribution to the gender concerns within their areas of jurisdiction. In addition, special consideration was undertaken to understand the cost implications of assisting/pursuing a reported case of domestic violence. Cost information was collected at the community (LC1), the probation office, the police station, and the health facilities (in cases where injuries had to be treated). The following information was collected relating to gender violence: · community characteristics like availability and accessibility to social services (schools, health units, etc); · cases of domestic violence that had been treated; · complaints received (police, LC1, Probation office); · duration to receive hearing; · average time taken to analyse a complaint; · average number of complaints; · cost of providing a service; · skills required to handle such cases of domestic violence; and · infrastructure to handle cases of domestic violence.

Despite the comprehensive nature of the GPS survey, it nevertheless does not capture some issues-especially those that can not be quantitative measured. For example, although the survey captures individuals that are unpaid family workers, it does not explicitly identify who among unpaid family workers are housewives. Other issues such as the career promotion of women in formal employment are not captured. Also, issues relating to the nature of household production are also not covered by the survey. Finally, this report attempts to provide the “state of the art” of gender inequities in Uganda; an in-depth analysis of the causes of gender disparities will be provided in a forthcoming study by the EPRC.

Pre- testing for the National Situational Analysis on Gender Based Violence (GBV) in Uganda was successfully completed on 22/02/09. The main field work was scheduled to commence in March, 2009. There was a delay in submission of funds from the Miinistry which made the delay for beginning data collection. The data collection started in July, 2009.

The Uganda Bureau of Statistics (UBoS) has, since 1992 conducted nationally representative surveys at household level. The analysis based on these surveys has provided empirical evidence in informing and influencing socio-economic policy in Uganda. However, due to the high costs of survey data

Prevalence of Traumatic Events (TEs), index trauma (index trauma); and lifetime Post-Traumatic Stress Disorder (PTSD) for men and women (weighted data).

This study scrutinized a comprehensive examination of the Pickup Artist (PUA) culture and its spatiotemporal developmental trends. Since the 1970s, PUA culture has undergone significant evolution, increasingly associating with extremist ideologies and normalized violence, thereby undermining contemporary gender equality and societal harmony. Addressing the current academic gap due to the absence of official, standardized large-scale data, this study delineated the unclear global prevalence and spatiotemporal distribution trends of the PUA phenomenon, impeding the formulation of region-specific countermeasures. Drew on a dataset of 33 million entries from the world's largest PUA forum (https://www.pick-up-artist-forum.com/), this research employed open-source natural language processing tools such as Gensim and Perspective, alongside manual review methods, for systematic error correction and categorization of PUA data. Building on this, the study utilized multidimensional mathematical convex hull methods for extrapolating the effectiveness and representativeness of geospatial data points related to PUA activities, offering an in-depth analysis of the global spatiotemporal distribution characteristics, regional heterogeneity, and potential societal risks of PUA culture. To mitigate uncertainties inherent in methodologies, data, and mathematical assumptions, this study integrated multiple machine learning models (Xgboost, Adaboost, etc.) with game-theory-based Shap for attribution analysis and contribution parsing of PUA indices and types across different countries and regions, revealing the impact of income levels, education, religious control, and political trust on PUA culture. Integrating theoretical frameworks from psychology, sociology, and emergency management, this research illuminated the evolutionary trends of different types of PUAs over the past decades. Moreover, using methods like Moran I, this study examined the spatial correlation between PUA indices and violent crime incidents. Furthermore, under the premised of continuity, smoothness, and serial dependence required by spatial breakpoint regression, this study employed quasi-experimental spatial breakpoint regression and controlled variable methods based on experimentation for causal inference analysis between PUA indices and violent crime incidents. The empirical findings of this study provide a theoretical and empirical foundation for managers and readers to collaboratively develop effective intervention strategies and social policies, advocating the necessity of educational, legal, and societal interventions to mitigate the risks of regional heterogeneity in gender discrimination and protect potential victims from manipulation and exploitation.

In a survey conducted in Italy in 2021, female respondents took more precautions than males in order to avoid or face situations in which they felt unsafe. About 65 percent of female and 53 percent of male interviewees declared to adopt certain measures in situations they would not dare to encounter.

Gender-based violence among female entertainment workers.

In 2019, the number of stalking cases reported to the police amounted to 15 thousand. The majority of perpetrators were male and aged 18 years and older. However, also very young people were reported for stalking. Specifically, they added up to 27 females and 202 males.

Abstract

Community-Based Protection Monitoring (CBPM) is one of UNHCR’s key tools to identify and monitor key protection issues including violations of rights, displacement, needs of vulnerable populations, access to rights and services, safety, freedom of movement, and occurrences of issues involving Gender Based Violence (GBV), Child Protection (CP), explosive hazards and Housing Land and Property (HLP), in order to identify persons in need of assistance, inform the humanitarian response and advocate for the protection of civilians. CBPM also serves as an evidence-base for design and implementation of protection programs. The methodology used has been jointly developed with the Afghanistan Protection Cluster (APC) and includes standardized data collection tools (HH, KII and FGDs). To monitor and compare the protection environment of girls, boys, men, and women, the data is disaggregated by age and gender that identifies adolescents, youth, and elderly, as well as population groups (i.e., refugees, refugee returnees, undocumented returnees, IDPs, IDP returnees, host communities).

Geographic coverage

National

Analysis unit

Households

Universe

IDPs, IDP Returnees, Host Comunities in Afghanistan 2024

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Abstract

Community-Based Protection Monitoring (CBPM) is one of UNHCR’s key tools to identify and monitor key protection issues including violations of rights, displacement, needs of vulnerable populations, access to rights and services, safety, freedom of movement, and occurrences of issues involving Gender Based Violence (GBV), Child Protection (CP), explosive hazards and Housing Land and Property (HLP), in order to identify persons in need of assistance, inform the humanitarian response and advocate for the protection of civilians. CBPM also serves as an evidence-base for design and implementation of protection programs. The methodology used has been jointly developed with the Afghanistan Protection Cluster (APC) and includes standardized data collection tools (HH, KII and FGDs). To monitor and compare the protection environment of girls, boys, men, and women, the data is disaggregated by age and gender that identifies adolescents, youth, and elderly, as well as population groups (i.e., refugees, refugee returnees, undocumented returnees, IDPs, IDP returnees, host communities).

Geographic coverage

National

Analysis unit

Households

Universe

IDPs, IDP Returnees, Host Comunities in Afghanistan 2024

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

In 2023, the number of cases of violence against women and children reported in the Philippines reached about *****, indicating a decrease from the previous year. These incidents were reported in connection to the Anti-violence Against Women and Their Children Act of 2004 which seeks to address the prevalence of violence against women and children by their intimate partners.

Demographics of study population.

IPVAW reports filed according to source.

Abstract

This study assesses the impact of a mental health intervention, Narrative Exposure Therapy (NET), provided to female Sexual and Gender Based Violence (SGBV) survivors in Eastern Democratic Republic of the Congo (DRC). This impact evaluation is one of three assessing the effectiveness of specific interventions to address SGBV in Rwanda, Burundi, and the DRC under the broader Great Lakes Emergency Sexual and Gender Based Violence and Women’s Health Project. It tests the impact of NET treatment on survivors’ mental health, psychosocial well-being, and economic empowerment.

Geographic coverage

The survey is conducted on a sample of 1053 respondents identified among eligible survivors in participating hospitals, health centers, and Community Based Organizations (CBOs) across the provinces of North Kivu and South Kivu. 89 participants were identified at the Heal Africa Center of Excellence, 534 participants in CBOs and health institutions (health centers and hospitals) in two health zones (Rutshuru and Kirotshe) in North Kivu and 430 participants in CBOs and health structures in two health zones in South Kivu (Kaniola and Minova). Nearly 76% of the respondents in the sample were identified by the CBOs of the two provinces.

Analysis unit

Individual

Sampling procedure

Individuals within each health center or CBO are randomly selected into treatment groups over several cohorts. Throughout the program, survivors were screened by nurses and psychosocial assistants and allocated to three categories: eligible for the program but in urgent need of treatment (these individuals received immediate support); other individuals eligible for the program; and non-eligible individuals. Eligibility criteria included being a woman aged 18 or above, screened by a professional, and diagnosed with PTSD disorder. Although being a survivor of conflict-related violence was not an eligibility condition, the intervention was designed to address the mental health needs of women survivors of sexual violence.

In every cohort, the eligible individuals for the program were assigned to three groups: (i) treatment group that contains six individuals who receives NET, (ii) control group that contains six individuals who had received non-NET psychosocial support in the interim and would receive NET at least 15 months later (after endline data collection), and (iii) waiting list that contains eligible individuals who were not part of the baseline survey at this stage, but three months later, for the next cohort, were entered again into the pool of eligible individuals to be randomized.

The stratification variables used in the randomization are respondent’s treatment cohort and counselor’s id who delivered the treatment to the respondent.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Questionnaires in French were used to collect the data.