1. Developing and testing child abuse measures for a global context – work under construction
Franziska Meinck

2. Background
Approximately 1 billion children victims of violence each year (Hillis et al 2016)
Child abuse associated with immediate and long-term consequences
Risk of intergenerational continuity
Vast economic burden (Fang et al 2011)
Little robust evidence for what works to prevent violence against children (Mikton et al 2009)

3. Some background work
Rapid review of child abuse measures for WHO European Office
Work on the Sinovuyo Teen Child Abuse Prevention Trial
Working on a WHO handbook on how to set up child abuse surveillance systems
Networking and listening to the “experts”

4. Two major gaps in methodology impede development of evidence-base
Lack of adequate and comparable international survey data
Lengthy questionnaires
Expensive to conduct
No short questionnaire available
2) Lack of child abuse measure for interventions
Sensitivity to change in severity and frequency
Studies use proxies or agency data

5. Developing the evidence base
Child abuse Measures for Evaluation and Observation: CAMEO – collaboration across multiple sectors
Systematic review of child abuse measures
Development of ICAST-TRIAL
Use of ICAST-TRIAL in six intervention studies
Pooling of data and psychometric testing
Development of ICAST-SF

6. Systematic review
Extending rapid review done for WHO into systematic review
Use of Consensus-based Standards for selection of health status Measurement Instruments Checklist (COSMIN)
Registration on ProSPective Register of Systematic Reviews (PROSPERO)

7. ICAST-TRIAL Data pooling (SA, DRC, Philippines, Tanzania – 6 studies)
Scoring of ICAST-Trial
Psychometric testing – EFA/CFA, measurement invariance across multiple cultural contexts
Multi-Trait Multi Method analysis for parent-child report/ parent-child report concordance
Construct validity

8. ICAST-SF
BECAN Study 2010 (N=42,000 parent/child dyads in 9 Balkan countries)
Focus groups with stakeholders at international child abuse conferences
Psychometric testing to reduce item count to 5-7
Prototype inclusion in survey for validation testing

9. Beware of the network effect!
WHO SCMQ – cognitive interviewing
Brief Child Abuse Potential Inventory in German sample – validation and gender differences
Adverse Childhood Experiences – psychometric testing and validation