Suchergebnisse

AbstractChildren with disabilities are known to have high rates of contact with child protection services. However, little is known about child protection contacts for a broader group of children with special healthcare needs (SHCN; i.e., special needs or other impairments of concern that affect learning). This study examined the characteristics of contact with child protection services (prior to the age of 6 years) for children with SHCN identified at school entry using the 2009 Australian Early Development Census, using administrative data from more than 65,000 children in the New South Wales Child Development Study. Child protection contacts prior to age 6 years were more prevalent among children with SHCN compared with those without; in particular, children with SHCN had higher odds of a history of exposure to neglect and physical abuse, and higher odds of being placed in out‐of‐home care, compared with their typically developing peers. Understanding the characteristics of child protection contacts among children with SHCN, with consideration of factors that may influence their patterns of contact with these and other human services agencies, will inform the development of appropriate social policy initiatives to fulfil Australia's obligations under the United Nations Convention on the Rights of the Child.

Parental history of offending and/or mental illness are risk factors for child maltreatment. However, limited research has directly contrasted the role of maternal versus paternal criminal offending or mental health problems in contributing to earlier contact with the child protection system. In this study we examined the relative contributions of these risk factors in relation to the time to the offspring's first report to child protection services, or first placement in out of home care (OOHC), using administrative records for a population sample of 71,661 children. Prior paternal offending had a greater independent effect on time to the offspring's first contact with child protection services (HR = 2.27 [95% CI = 2.14-2.40]) than maternal offending (HR = 1.75 [95% CI = 1.63 -1.87]) or maternal mental disorder diagnosis (HR = 1.66 [95% CI = 1.57 -1.77]). By contrast, prior maternal offending (HR = 2.58 [95% CI = 2.26-2.95]) and mental disorder diagnosis (HR = 2.33 [95% CI = 2.05-2.63]) had a greater effect on earlier placement in OOHC, relative to prior paternal offending (HR = 1.59 [95% CI = 1.35 -1.88]) and mental disorder diagnosis (HR = 1.06 [95% CI = 0.94 -1.19]). These findings demonstrate the potential benefits of coordinated government responses across multiple agencies to identify vulnerable children and families who might benefit from early interventions or support services.

Purpose: The initial aim of this multiagency, multigenerational record linkage study is to identify childhood profiles of developmental vulnerability and resilience, and to identify the determinants of these profiles. The eventual aim is to identify risk and protective factors for later childhood-onset and adolescent-onset mental health problems, and other adverse social outcomes, using subsequent waves of record linkage. The research will assist in informing the development of public policy and intervention guidelines to help prevent or mitigate adverse longterm health and social outcomes. Participants: The study comprises a population cohort of 87 026 children in the Australian State of New South Wales (NSW). The cohort was defined by entry into the first year of full-time schooling in NSW in 2009, at which time class teachers completed the Australian Early Development Census (AEDC) on each child (with 99.7% coverage in NSW). The AEDC data have been linked to the children's birth, health, school and child protection records for the period from birth to school entry, and to the health and criminal records of their parents, as well as mortality databases. Findings to date: Descriptive data summarising sex, geographic and socioeconomic distributions, and linkage rates for the various administrative databases are presented. Child data are summarised, and the mental health and criminal records data of the children's parents are provided. Future plans: In 2015, at age 11 years, a self-report mental health survey was administered to the cohort in collaboration with government, independent and Catholic primary school sectors. A second record linkage, spanning birth to age 11 years, will be undertaken to link this survey data with the aforementioned administrative databases. This will enable a further identification of putative risk and protective factors for adverse mental health and other outcomes in adolescence, which can then be tested in subsequent record linkages.

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ ; Purpose The initial aim of this multiagency, multigenerational record linkage study is to identify childhood profiles of developmental vulnerability and resilience, and to identify the determinants of these profiles. The eventual aim is to identify risk and protective factors for later childhood-onset and adolescent-onset mental health problems, and other adverse social outcomes, using subsequent waves of record linkage. The research will assist in informing the development of public policy and intervention guidelines to help prevent or mitigate adverse long-term health and social outcomes. Participants The study comprises a population cohort of 87 026 children in the Australian State of New South Wales (NSW). The cohort was defined by entry into the first year of full-time schooling in NSW in 2009, at which time class teachers completed the Australian Early Development Census (AEDC) on each child (with 99.7% coverage in NSW). The AEDC data have been linked to the children's birth, health, school and child protection records for the period from birth to school entry, and to the health and criminal records of their parents, as well as mortality databases. Findings to date Descriptive data summarising sex, geographic and socioeconomic distributions, and linkage rates for the various administrative databases are presented. Child data are summarised, and the mental health and criminal records data of the children's parents are provided. Future plans In 2015, at age 11 years, a self-report mental health survey was administered to the cohort in collaboration with government, independent and Catholic primary school sectors. A second record linkage, spanning birth to age 11 years, will be undertaken to link this survey data with the aforementioned administrative databases. This will enable a further identification of putative risk and protective factors for adverse mental health and other outcomes in adolescence, which can then be tested in subsequent record linkages.

Purpose: The initial aim of this multiagency, multigenerational record linkage study is to identify childhood profiles of developmental vulnerability and resilience, and to identify the determinants of these profiles. The eventual aim is to identify risk and protective factors for later childhood-onset and adolescent-onset mental health problems, and other adverse social outcomes, using subsequent waves of record linkage. The research will assist in informing the development of public policy and intervention guidelines to help prevent or mitigate adverse longterm health and social outcomes. Participants: The study comprises a population cohort of 87 026 children in the Australian State of New South Wales (NSW). The cohort was defined by entry into the first year of full-time schooling in NSW in 2009, at which time class teachers completed the Australian Early Development Census (AEDC) on each child (with 99.7% coverage in NSW). The AEDC data have been linked to the children's birth, health, school and child protection records for the period from birth to school entry, and to the health and criminal records of their parents, as well as mortality databases. Findings to date: Descriptive data summarising sex, geographic and socioeconomic distributions, and linkage rates for the various administrative databases are presented. Child data are summarised, and the mental health and criminal records data of the children's parents are provided. Future plans: In 2015, at age 11 years, a self-report mental health survey was administered to the cohort in collaboration with government, independent and Catholic primary school sectors. A second record linkage, spanning birth to age 11 years, will be undertaken to link this survey data with the aforementioned administrative databases. This will enable a further identification of putative risk and protective factors for adverse mental health and other outcomes in adolescence, which can then be tested in subsequent record linkages.

Findings from longitudinal research, globally, repeatedly emphasise the importance of taking an early life course approach to mental health promotion; one that invests in the formative years of development, from early childhood to young adulthood, just prior to the transition to parenthood for most. While population monitoring systems have been developed for this period, they are typically designed for use within discrete stages (i.e., childhood or adolescent or young adulthood). No system has yet captured development across all ages and stages (i.e., from infancy through to young adulthood). Here we describe the development, and pilot implementation, of a new Australian Comprehensive Monitoring System (CMS) designed to address this gap by measuring social and emotional development (strengths and difficulties) across eight census surveys, separated by three yearly intervals (infancy, 3-, 6-, 9- 12-, 15-, 18 and 21 years). The system also measures the family, school, peer, digital and community social climates in which children and young people live and grow. Data collection is community-led and built into existing, government funded, universal services (Maternal Child Health, Schools and Local Learning and Employment Networks) to maximise response rates and ensure sustainability. The first system test will be completed and evaluated in rural Victoria, Australia, in 2022. CMS will then be adapted for larger, more socio-economically diverse regional and metropolitan communities, including Australian First Nations communities. The aim of CMS is to guide community-led investments in mental health promotion from early childhood to young adulthood, setting secure foundations for the next generation.