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Record W2790543767 · doi:10.1136/bmjopen-2017-019266

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

2018· review· en· W2790543767 on OpenAlexaff
Marcos Claúdio Signorelli, Stav Hillel, Daniel Canavese de Oliveira, Beatriz Paulina Ayala Quintanilla, Kelsey Hegarty, Angela Taft

Bibliographic record

VenueBMJ Open · 2018
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsRoyal Ottawa Mental Health Centre
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsMedicinePsychological interventionCINAHLGrey literaturePsycINFOPublic healthHealth careDomestic violenceNursingMEDLINESystematic reviewCochrane LibraryFamily medicinePoison controlEnvironmental healthSuicide preventionMeta-analysisEconomic growth

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.264
GPT teacher head0.502
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations26
Published2018
Admission routes1
Has abstractyes

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