Bibliographic record
Abstract
CONTEXT: Intimate partner violence is prevalent and is associated with significant impairment, yet it remains unclear which interventions, if any, reduce rates of abuse and reabuse. OBJECTIVE: To systematically review, from the perspective of primary health care, the available evidence on interventions aimed at preventing abuse or reabuse of women. DATA SOURCES: MEDLINE, PsycINFO, CINAHL, HealthStar, and Sociological Abstracts were searched from the database start dates to March 2001 using database-specific key words such as domestic violence, spouse abuse, partner abuse, shelters, and battered women. References of key articles were hand searched. The search was updated in December 2002. STUDY SELECTION: Both authors reviewed all titles and abstracts using established inclusion/exclusion criteria. Twenty-two articles met the inclusion criteria for critical appraisal. DATA EXTRACTION: Following the evidence-based methods of the Canadian Task Force on Preventive Health Care, both authors independently reviewed the 22 included studies using an established hierarchy of study designs and criteria for rating internal validity. Quality ratings of individual studies--good, fair, or poor--were determined based on a set of operational parameters specific to each design category developed with the US Preventive Services Task Force. DATA SYNTHESIS: Screening instruments exist that can identify women who are experiencing intimate partner violence. No study has examined, in a comparative design, the effectiveness of screening when the end point is improved outcomes for women (as opposed to identification of abuse). No high-quality evidence exists to evaluate the effectiveness of shelter stays to reduce violence. Among women who have spent at least 1 night in a shelter, there is fair evidence that those who received a specific program of advocacy and counseling services reported a decreased rate of reabuse and an improved quality of life. The benefits of several other intervention strategies in treating both women and men are unclear, primarily because of a lack of suitably designed research measuring appropriate outcomes. In most cases, the potential harms of interventions are not assessed within the studies reviewed. CONCLUSIONS: Much has been learned in recent years about the epidemiology of violence against women, yet information about evidence-based approaches in the primary care setting for preventing intimate partner violence is seriously lacking. The evaluation of interventions to improve the health and well-being of abused women remains a key research priority.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 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".