Evidence map›Paper›PMID 37004182›Full record

ArticleThe Medical journal of Australia2023

The Australian Child Maltreatment Study (ACMS), a national survey of the prevalence of child maltreatment and its correlates: methodology.

Divna M Haslam, David M Lawrence, Ben Mathews, Daryl J Higgins, Anna Hunt, James G Scott, Michael P Dunne, Holly E Erskine, Hannah J Thomas, David Finkelhor and 3 more

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Beyond mental disorders: The role of child maltreatment in childhood suicidal behaviour.The Australian and New Zealand journal of psychiatry · 2026
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  18. A new era in child maltreatment prevention: call to action.The Medical journal of Australia · 2023
    Article
  19. Article
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

13 authors.

Divna M HaslamQueensland University of Technology, Brisbane, QLD.ORCID 0000-0002-5354-8710
David M LawrenceCurtin University, Perth, WA.ORCID 0000-0003-4700-1425
Ben MathewsQueensland University of Technology, Brisbane, QLD.ORCID 0000-0003-0421-0016
Daryl J HigginsInstitute of Child Protection Studies, Australian Catholic University, Melbourne, VIC.ORCID 0000-0003-0268-8243
Anna HuntCurtin University, Perth, WA.
James G ScottChild Health Research Centre, the University of Queensland, Brisbane, QLD.ORCID 0000-0002-0744-0688
Michael P DunneQueensland University of Technology, Brisbane, QLD.
Holly E ErskineThe University of Queensland, Brisbane, QLD.
Hannah J ThomasQIMR Berghofer Medical Research Institute, Brisbane, QLD.ORCID 0000-0001-7897-7821
David FinkelhorCrimes against Children Research Center, University of New Hampshire, Durham, NH, United States of America.
Rosana PacellaInstitute for Lifecourse Development, University of Greenwich, London, United Kingdom.ORCID 0000-0002-9742-1957
Franziska MeinckUniversity of Edinburgh, Edinburgh, United Kingdom.
Eva MalacovaQIMR Berghofer Medical Research Institute, Brisbane, QLD.

Funding

Australian Department of Social ServicesAustralian Department of the Prime Minister and CabinetAustralian Institute of CriminologyEuropean Research CouncilNational Health and Medical Research Council APP1158750Queensland Department of HealthUnited Kingdom Research and InnovationGlobal Challenges Research Fund
6 · The paper itself

Abstract

objectivesTo describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS). DESIGN,

settingCross-sectional, retrospective survey; computer-assisted mobile telephone interviewing using random digit dialling (computer-generated), Australia, 9 April - 11 October 2021.

participantsPeople aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from five further age groups (25-34, 35-44, 45-54, 55-64, 65 years or more).

main outcome measuresPrimary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study). SECONDARY OUTCOMES: selected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use.

resultsThe demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio-economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant.

conclusionsThe ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives.

Indexed as

Child AbuseAustraliaChildCross-Sectional StudiesHumansPrevalenceRetrospective StudiesChild abuseChild welfareEpidemiologyHealthcare disparitiesMental disorders

Identifiers

PMID37004182
PMCPMC10953333

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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.