Evidence map›Paper›PMID 34373291›Full record

ArticleBMJ open2021

Prevalence of child maltreatment in India and its association with gender, urbanisation and policy: a rapid review and meta-analysis protocol.

Gwen Fernandes, Megan Fernandes, Nilakshi Vaidya, Philip De Souza, Evgeniya Plotnikova, Rosemary Geddes, Bharath Holla, Eesha Sharma, Vivek Benegal, Vikas Choudhry

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Gwen FernandesPopulation Health Sciences, University of Bristol, Bristol, UK gwen.fernandes@bristol.ac.uk.ORCID 0000-0003-0203-7053
Megan FernandesDepartment of Surgery, Norfolk and Norwich University Hospital NHS Trust, Norwich, UK.
Nilakshi VaidyaDepartment of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Philip De SouzaDepartment of Medicine, Norfolk and Norwich University Hospital NHS Trust, Norwich, UK.
Evgeniya PlotnikovaCollege of Medicine and Veterinary Medicine, The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
Rosemary GeddesCollege of Medicine and Veterinary Medicine, The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
Bharath HollaDepartment of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Eesha SharmaChild and Adolescent Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Vivek BenegalDepartment of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Vikas ChoudhryPublic Health, Sambodhi Research and Communications Pvt Ltd, Noida, Uttar Pradesh, India.
National Institute of Mental Health and Neurosciences · INNorfolk and Norwich University Hospital · GBUniversity of Edinburgh · GBSambodhi Research and Communications · INUniversity of Bristol · GB

Funding

Medical Research Council MR/L022206/1
6 · The paper itself

Abstract

introductionIndia is home to 20% of the world's children and yet, little is known on the magnitude and trends of child maltreatment nationwide. The aims of this review are to provide a prevalence of child maltreatment in India with considerations for any effects of gender; urbanisation (eg, urban vs rural) and legislation (Protection of Children from Sexual Offences (POCSO) Act 2012). METHODS AND ANALYSIS: A rapid review will be undertaken of all quantitative peer-reviewed studies on child maltreatment in India between 2005 and 2020. Four electronic databases will be systematically searched: PubMed, EMBASE, Cochrane and PsychInfo. The primary outcomes will include all aspects of child maltreatment: physical abuse, sexual abuse, emotional abuse, emotional neglect and physical neglect. Study participants will be between 0 and 18 years and will have reported maltreatment experiences using validated, reliable tools such as the Adverse Childhood Experiences Questionnaire as well as child self-reports and clinician reports. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, and the methodological appraisal of the studies will be assessed by the Newcastle-Ottawa Quality assessment scale. A narrative synthesis will be conducted for all included studies. Also, if sufficient data are available, a meta-analysis will be conducted. Effect sizes will be determined from random-effects models stratified by gender, urbanisation and the pre-2012 and post-2012 POCSO Act cut-off. I ETHICS AND DISSEMINATION: As this is a rapid review, minimal ethical risks are expected. The protocol and level 1 self-audit checklist were submitted and approved by the Usher Research Ethics Group panel in the Usher Institute (School of Medicine and Veterinary Sciences) at the University of Edinburgh (Reference B126255). Findings from this review will be disseminated widely through peer-reviewed publications and in various media, for example, conferences, congresses or symposia. PROSPERO REGISTRATION NUMBER: CRD42019150403.

Indexed as

Child AbuseUrbanizationChildHumansIndiaMeta-Analysis as TopicPolicyPrevalenceReview Literature as Topicchild protectionepidemiologymental healthprotocols & guidelinespublic health

Identifiers

PMID34373291
PMCPMC8354262
OpenAlexW3091397486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.