Unpacking Northern Ontario’s sexual assault evidence kits: a mixed methods approach to understanding the barriers preventing comprehensive care for survivors
Bibliographic record
Abstract
Background: Sexual assault evidence kits (SAEKs) are used to gather forensic evidence from survivors following sexual assault. Forensic evidence collection also coincides with comprehensive post-assault care and referrals to follow-up services. One third of Canadian women have experienced sexual assault, however many hospitals lack staff trained in SAEKs and sexual assault care. Most of these deficits fall in rural areas, forcing survivors to travel long distances to receive care; Northern communities are known to especially lack access to comprehensive sexual assault care and SAEKs. This lack of resources has implications for both rural and urban Northern communities, and can also result in re-traumatization and poor survivor mental health.Objectives: This study aimed to gain insight into the current state of post-sexual assault care in Northwestern Ontario from the perspective of healthcare providers, and to assess challenges to SAEK access in the North, with the ultimate aim of informing better access to care.Methods: We employed a sequential explanatory mixed methods design. An online survey of healthcare providers working in 11 communities based in Northwestern Ontario was completed. The questionnaire was used to gain an overall picture of Northern healthcare providers’ access to SAEKs in their communities. The survey was followed by nine in-depth semi-structured interviews with healthcare providers from Northwestern Ontario. The interviews covered content about barriers and recommendations to providing sexual assault care, as well as psychosocial supports available to practitioners and the training they have received. Interview transcripts were analyzed using an inductive thematic analysis approach.Findings: The findings of this study include four overarching barriers and one provider recommendations theme. These barriers and recommendations were found in both the survey and interview phases of the study. Barriers to care provision included poor training and fear of legal implications, lack of supports, resource constraints, and socio-cultural barriers related to the credibility and believability of survivors. Difficulties for care arose related to rurality, the ‘triage, treat, transfer’ nature of Emergency Departments, limited psycho-social supports for providers, and the lack of specialized sexual assault nurse examiners. Additionally, rape myths and stereotypes were noted as barriers to equitable care. Conclusion: Sexual assault trauma hinders many survivors from seeking care, especially when care has been inadequate in the past. It is essential that few barriers deter post-assault care, and that the care received is comprehensive and trauma-informed. This research will provide further insight into the rural health challenges of Northern Canada, as well as the difficulties faced in the provision of sexual assault care
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".