Article type: Original Research
3 November 2014
Volume 40 Issue 1
Article type: Original Research
3 November 2014
Volume 40 Issue 1
A Public Health Approach to Child Protection: Why Data Matter
Karen Broadley1 *
Chris Goddard1
Affiliations
1 Child Abuse Prevention Research Australia, Clayton, Victoria, Monash Injury Research Institute, Monash University, Australia
Correspondence
* Karen Broadley
Contributions
Karen Broadley -
Chris Goddard -
Karen Broadley1 *
Chris Goddard1
Affiliations
1 Child Abuse Prevention Research Australia, Clayton, Victoria, Monash Injury Research Institute, Monash University, Australia
Correspondence
* Karen Broadley
CITATION: Broadley K., & Goddard C. (2014). A Public Health Approach to Child Protection: Why Data Matter. Children Australia, 40(1), 1945. doi.org/10.1017/cha.2014.37
Abstract
In Australia, many researchers and policy makers believe that statutory child protection systems are overburdened and ineffective. The way forward, they suggest, is a public health model of child protection. A public health approach comprises four steps: (1) collecting surveillance data; (2) establishing causes and correlations; (3) developing and evaluating interventions; and (4) disseminating information about the effectiveness of intervention activities to the public health community. However, in Australia there are no reliable surveillance data. There is no information about ‘person’. Information is not collected about the characteristics of children (e.g., ethnicity) and parents (e.g., mental illness) reported to child protection services. Data are not comparable across place. This is because the states and territories have their own child protection legislation, definitions and data recording methods. Data are not comparable over time. This is because many jurisdictions have introduced new data recording systems over recent years. This paper concludes that it is essential to develop an effective child protection surveillance data system. This will ensure that services are located in areas and targeted towards populations in greatest need. It will enable large-scale evaluation of the effectiveness of prevention and intervention activities.