(PM-24) TRANSLATION AND CULTURAL ADAPTATION OF THE KAROLINSKA INTERPERSONAL VIOLENCE SCALE INTO BRAZILIAN PORTUGUESE: A METHODOLOGICAL STUDY
Bibliographic record
Abstract
Abstract Introduction Interpersonal violence is a global concern with significant implications for mental health and mortality. The Karolinska Institute in Sweden developed the Karolinska Interpersonal Violence Scale (KIVS), a semi-structured interview assessing interpersonal violence experiences as victims or aggressors across childhood and adulthood. Objective Our aim was to translate and culturally adapt the KIVS for use in the Brazilian population. Methods: The translation process involved ten stages based on The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) guidelines. Back-translation was performed by a clinical psychologist unfamiliar with the original scale. The English versions were cross compared by the original instrument author. The consensus version underwent comprehension evaluation by eight participants, comprising four healthcare professionals and four patients from the AISEP - Excessive Sexual Drive and Prevention of Negative Outcomes Related with Sexual Behavior at Instituto de Psiquiatria of Hospital das Clínicas of São Paulo. A 5-point Likert scale assessed participant comprehension, with 80% agreement indicating successful equivalence. Sentences were revised until this consensus was achieved. The finalized translation, incorporating contextual revisions, underwent syntactic and spelling review. Results After application to eight participants (4 women and 4 men), 7 rated with the highest comprehension score (5.0), and 1 with 4.9. A final report documented the entire KIVS translation and validation process. Conclusion The translation and cultural adaptation of the KIVS into Brazilian Portuguese were successful. Minor adjustments were made to enhance comprehension without compromising meaning. This adaptation provides a valuable tool for assessing interpersonal violence in the Brazilian context, with implications for research and clinical practice. Financing FAPESP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".