Voices from low-income and middle-income countries: a systematic review protocol of primary healthcare interventions within public health systems addressing intimate partner violence against women
Bibliographic record
Abstract
INTRODUCTION: Intimate partner violence (IPV) considerably harms the health, safety and well-being of women. In response, public health systems around the globe have been gradually implementing strategies. In particular, low-income and middle-income countries (LMIC) have been developing innovative interventions in primary healthcare (PHC) addressing the problem. This paper describes a protocol for a systematic review of studies addressing the impacts and outcomes of PHC centre interventions addressing IPV against women from LMIC. METHODS AND ANALYSIS: A systematic search for studies will be conducted in African Index Medicus, Africa Portal Digital Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Index Medicus for the Southeast Asia Region, IndMed, Latin American and Caribbean Health Science Literature Database (LILACS), Medecins Sans Frontieres, MEDLINE, Minority Health and Health Equity Archive, ProQuest, PsycINFO, Scientific Electronic Library Online, (SciELO) and Social Policy and Practice. Studies will be in English, Spanish and Portuguese, published between 2007 and 2017, addressing IPV against women from LMIC, whose data quantitatively report on the impacts and outcomes for survivors and/or workers and/or public health systems preintervention and postintervention. Two trilingual reviewers will independently screen for study eligibility and data extraction, and a librarian will cross-check for compliance. Risk of bias and quality assessment of studies will be measured according to: (1) the Cochrane Collaboration's tool for assessing risk of bias for randomised controlled trials and (2) the Methodological Index for Non-Randomised Studies (MINORS). Data will be analysed and summarised using meta-analysis and narrative description of the evidence across studies. This systematic review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols(PRISMA P) guidelines. ETHICS AND DISSEMINATION: This systematic review will be based on published studies, thus not requiring ethical approval. Findings will be presented in conferences and published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42017069261.
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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 | 0.100 | 0.091 |
| Meta-epidemiology (narrow) | 0.007 | 0.008 |
| Meta-epidemiology (broad) | 0.024 | 0.017 |
| Bibliometrics | 0.023 | 0.018 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.054 | 0.009 |
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".