A qualitative analysis of psychosocial outcomes among women with sexual violence-related pregnancies in eastern Democratic Republic of Congo
Bibliographic record
Abstract
BACKGROUND: Sexual violence is prevalent in eastern Democratic Republic of Congo (DRC) and has potentially devastating psychosocial consequences. Previous studies have reported on sexual violence and its impact on the mental health of survivors, but there are few studies conducted among women with sexual violence-related pregnancies (SVRPs). Women with SVRPs may be at greater risk of complex psychosocial outcomes, including social stigmatization. This study aimed to describe psychosocial outcomes among this subgroup of sexual violence survivors in order to inform future interventions. METHODS: A mixed methods study was conducted in Bukavu, DRC in 2012 among adult women who self-reported an SVRP and either (1) were currently raising a child from an SVRP (parenting group) or (2) had terminated an SVRP (termination group). This manuscript presents qualitative findings from the mixed methods study. Participants were recruited using respondent-driven sampling and a proportion engaged in semi-structured qualitative interviews conducted by trained female interviewers. Thematic content analysis was conducted and key themes were identified. RESULTS: In total, 55 women were interviewed, of whom 38 were in the parenting group and 17 in the termination group. Women with SVRPs experienced a myriad of emotional responses as they navigated their social environments following the SVRPs. Negative reactions, including social stigmatization and/or social rejection, toward women with SVRPs and toward children born from SVRPs were important influences on psychological well-being. Women expressed both internalized emotionality intertwined with externalized experiences in the social environment. Many women demonstrated resilience, or what could be termed post-traumatic growth, identifying avenues of agency to advance the social conditions for women. CONCLUSIONS: The findings from the qualitative study, and in particular, the respondents' needs and suggested strategies, may be useful to inform future research, programs, and policies for women with SVRPs in eastern DRC. Future research could move beyond cross-sectional assessments to utilize innovative research methodologies to assess processes of psychological adaptation among women with SVRPs. Multi-dimensional psychosocial programs for women with SVRPs should consider basic needs such as shelter, food, and health care within the broader framework of trauma-informed care. Participatory programming, guided by beneficiaries, could provide further avenues for agency to advance social conditions for women with SVRPs in eastern DRC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".