Child protection contact among children of culturally and linguistically diverse backgrounds: A South Australian linked data study.

AIM: To describe the cumulative incidence of child protection (CP) system contact, maltreatment type, source of reports to age 7 years, and socio-demographic characteristics for culturally and linguistically diverse (CALD) Australian children. METHODS: We used CP, education, health, and birth registrations data for children followed from birth up to age 7 from the South Australian Better Evidence, Better Outcomes, Linked Data (SA BEBOLD) platform. PARTICIPANTS: SA born children enrolled in their first year of school from 2009 to 2015 (n = 76 563). CALD defined as non-Aboriginal or Torres Strait Islander, spoken language other than English, Indigenous or Sign, or had at least one parent born in a non-English speaking country. OUTCOMES MEASURES: For CALD and non-CALD children, we estimated the cumulative incidence (risk) of CP contacts up to age 7, relative risk and risk differences for all levels of CP contact from notification to out-of-home care (OOHC), primary maltreatment type, reporter type, and socio-economic characteristics. Sensitivity analyses explored different population selection criteria and CALD definitions. RESULTS: By age 7, 11.2% of CALD children had 'screened-in' notifications compared to 18.8% of non-CALD (risk difference [RD] 7.6 percentage points (95% confidence interval: 6.9-8.3)), and 0.6% of CALD children experienced OOHC compared to 2.2% of non-CALD (RD 1.6 percentage points (95% confidence interval: 1.3-1.8)). Emotional abuse was the most common substantiated maltreatment type for CALD and neglect for non-CALD. Among both groups, the most common reporter sources were police and education sector. Socio-economic characteristics were broadly similar. Sensitivity analyses results were consistent with primary analyses. CONCLUSION: By age 7, CALD children had lower risk of contact with all levels of CP. Estimates based on primary and sensitivity analyses suggested CALD children were 5-9 percentage points less likely to have a report screened-in, and from 1.0 to 1.7 percentage points less likely to have experienced OOHC.

Characteristics of paediatric frequent presenters at emergency departments: A whole-of-population study.

AIM: To quantify the frequency of emergency department (ED) presentations and profile the socio-demographic, health and presentation characteristics of paediatric ED frequent presenters. METHODS: A population-based data linkage study of 55 921 children in the South Australian Early Childhood Data Project aged 0-12 years with 100 976 presentations to public hospital EDs in South Australia. For each child, the total number of recurrent ED presentations during a 364-day period post-index presentation was calculated. Frequent presenters were children who experienced ≥4 recurrent ED presentations. We determined the socio-demographic, health and presentation characteristics by number of recurrent presentations. RESULTS: Children with ≥4 recurrent presentations (4.4%) accounted for 15.4% of all paediatric ED presentations and 22.5% of subsequent admissions to hospital during the 12-month study period. Compared to children with no recurrent ED presentation, frequent presenters had higher proportions of socio-economic and health disadvantage at birth. One in two (49.3%) frequent presenters had at least one injury presentation and one (21.3%) in five had at least one presentation related to a chronic condition. CONCLUSIONS: Children with ≥4 presentations do not represent the majority of ED users. Nevertheless, they represent a disproportionate burden accounting for 15% of all paediatric ED presentations in a 12-month period. Frequent presenters were characterised by early socio-economic and health disadvantage, and childhood injury. Strategies targeting social disadvantage and childhood injury may reduce the burden of ED presentations.

Counting culturally and linguistically diverse (CALD) children in Australian health research: Does it matter how we count?

OBJECTIVE: To describe how culturally and linguistically diverse (CALD) children are identified and enumerated in routine data collections and in child health research in Australia. METHODS: Descriptive analysis, where different definitions of CALD were applied to the 2021 Australian Census to measure the size of the CALD population of Australian children aged 0 to 17 years. Narrative review of the Australian child health literature to examine how CALD children were defined. RESULTS: Applying various definitions to the 2021 Census, the estimated proportion of CALD children aged 0 to 17 ranged from 6.3% to 43%. The most commonly applied CALD indicators were language background other than English and being born overseas. CONCLUSIONS: There is no consensus on how CALD is defined in Australian child health research. Application of different CALD indicators can generate up to seven-fold differences in estimates of who counts as being a CALD child. IMPLICATIONS FOR PUBLIC HEALTH: If we are to advance health and well-being equity for CALD children, we need a more consistent approach to understanding which children are counted as CALD.

Excess Hospital Burden Among Young People in Contact With Homelessness Services in South Australia: A Prospective Linked Data Study.

PURPOSE: Youth homelessness remains an ongoing public health issue worldwide. We aimed to describe the burden of emergency department (ED) presentations and hospitalizations among a South Australian population of young people in contact with specialist homelessness services (SHS). METHODS: This whole-of-population study used de-identified, linked administrative data from the Better Evidence Better Outcomes Linked Data (BEBOLD) platform on all individuals born between 1996 and 1998 (N = 57,509). The Homelessness2Home data collection was used to identify 2,269 young people in contact with SHS at ages 16-17 years. We followed these 57,509 individuals to age 18-19 years and compared ED presentations and hospital separations related to mental health, self-harm, drug and alcohol, injury, oral health, respiratory conditions, diabetes, pregnancy, and potentially preventable hospitalizations between those in contact and not in contact with SHS. RESULTS: Four percent of young people had contact with SHS at ages 16-17 years. Young people who had contact with SHS were 2 and 3 times more likely to have presented to an ED and hospital respectively, compared to those who did not contact SHS. This accounted for 13% of all ED presentations and 16% of all hospitalizations in this age group. Excess burden causes included mental health, self-harm, drug and alcohol, diabetes, and pregnancy. On average, young people in contact with SHS experienced an increased length of stay in ED (+0.6 hours) and hospital (+0.7 days) per presentation, and were more likely to not wait for treatment in ED and to self-discharge from hospital. DISCUSSION: The 4% of young people who contacted SHS at ages 16-17 years accounted for 13% and 16% of all ED presentations and hospitalizations respectively at age 18-19 years. Prioritizing access to stable housing and primary health-care services for adolescents in contact with SHS in Australia could improve health outcomes and reduce health-care costs.

Examining the intersection of child protection and public housing: development, health and justice outcomes using linked administrative data.

OBJECTIVE: We described development, health and justice system outcomes for children in contact with child protection and public housing. DESIGN: Descriptive analysis of outcomes for children known to child protection who also had contact with public housing drawn from the South Australian (SA) Better Evidence Better Outcomes Linked Data (BEBOLD) platform. SETTING: The BEBOLD platform holds linked administrative records collected by government agencies for whole-population successive birth cohorts in SA beginning in 1999. PARTICIPANTS: This study included data from birth registrations, perinatal, child protection, public housing, hospital, emergency department, early education and youth justice for all SA children born 1999-2013 and followed until 2016. The base population notified at least once to child protection was n=67 454. PRIMARY OUTCOME MEASURE: Contact with the public housing system. SECONDARY OUTCOME MEASURES: Hospitalisations and emergency department presentations before age 5, and early education at age 5, and youth justice contact before age 17. RESULTS: More than 60% of children with at least one notification to child protection had contact with public housing, and 60.2% of those known to both systems were known to housing first. Children known to both systems experienced more emergency department and hospitalisation contacts, greater developmental vulnerability and were about six times more likely to have youth justice system contact. CONCLUSIONS: There is substantial overlap between involvement with child protection and public housing in SA. Those children are more likely to face a life trajectory characterised by greater contact with the health system, greater early life developmental vulnerability and greater contact with the criminal justice system. Ensuring the highest quality of supportive early life infrastructure for families in public housing may contribute to prevention of contact with child protection and better life trajectories for children.

The Hospital Burden Associated With Intergenerational Contact With the Welfare System in Australia.

Importance: Intergenerational welfare contact is a policy issue because of the personal and social costs of entrenched disadvantage; yet, few studies have quantified the burden associated with intergenerational welfare contact for health. Objective: To examine the proportion of individuals who experienced intergenerational welfare contact and other welfare contact types and to estimate their cause-specific hospital burden. Design, Setting, and Participants: This cohort study used a whole-of-population linked administrative dataset of individuals followed from birth to age 20 years using deidentified data from the Better Evidence Better Outcomes Linked Data platform (Australian Government Centrelink [welfare payments], birth registration, perinatal birth records, and inpatient hospitalizations). Participants included individuals born in South Australia from 1991 to 1995 and their parents. Analysis was undertaken from January 2020 to June 2022. Exposures: Using Australian Government Centrelink data, welfare contact was defined as 1 or more parents receiving a means-tested welfare payment (low-income, unemployment, disability, or caring) when children were aged 11 to 15 years, or youth receiving payment at ages 16 to 20 years. Intergenerational welfare contact was defined as welfare contact occurring in both parent and offspring generations. Offspring were classified as: no welfare contact, parent-only welfare contact, offspring-only welfare contact, or intergenerational welfare contact. Main Outcomes and Measures: Hospitalization rates and cumulative incidence were estimated by age, hospitalization cause, and welfare contact group. Results: A total of 94 358 offspring (48 589 [51.5%] male) and 143 814 parents were included in analyses. The study population included 32 969 offspring (34.9%) who experienced intergenerational welfare contact. These individuals were more socioeconomically disadvantaged at birth and had the highest hospitalization rate (133.5 hospitalizations per 1000 person-years) compared with individuals with no welfare contact (46.1 hospitalizations per 1000 person-years), individuals with parent-only welfare contact (75.0 hospitalizations per 1000 person-years), and individuals with offspring-only welfare contact (87.6 hospitalizations per 1000 person-years). Hospitalizations were frequently related to injury, mental health, and pregnancy. For example, the proportion of individuals with intergenerational welfare contact who had experienced at least 1 hospitalization at ages 16 to 20 years was highest for injury (9.0% [95% CI, 8.7%-9.3%]). Conclusions and Relevance: In this population-based cohort study, individuals who experienced intergenerational welfare contact represented one-third of the population aged 11 to 20 years. Compared with individuals with parent-only welfare contact, individuals with intergenerational welfare contact were more disadvantaged at birth and had 78% higher hospitalization rates from age 11 to 20 years, accounting for more than half of all hospitalizations. Frequent hospitalization causes were injuries, mental health, and pregnancy. This study provides the policy-relevant estimate for what it could mean to break cycles of disadvantage for reducing hospital burden.

A public health approach to preventing child maltreatment: An intelligent information infrastructure to help us know what works.

Researchers and policymakers have called for a shift from incident-driven statutory child protection responses to greater investment in coordinated system-wide child and family focused approaches to preventing child maltreatment. However, system-wide capacity to prevent maltreatment is limited without an intelligent information infrastructure that is able to routinely examine child and family focused outcomes, and overall system performance to increase our understanding of what works. The purpose of this article is to investigate the current state of indicators for child protection, health, development and wellbeing, and to propose indicator domains that are needed for an intelligent information infrastructure in a prevention-focused child protection system. A non-systematic narrative review was undertaken to explore commonly used indicators. Examples are drawn from high-income countries with well-developed child protection agencies. Our analysis shows that process indicators that measure within-agency activities are most commonly used. Indicators that measure outcomes in children are less common, and even less common are indicators linking system processes to child and family outcomes. Capacity to understand the success of system-wide prevention of child maltreatment is limited by siloed data collection and information systems. Three information indicator domains need to be routinely collected and linked. First, within-agency processes (what activities occurred); second, warm handover (referrals between agencies) and therapeutic dose of interventions; and third, child and family wellbeing outcomes. An intelligent information infrastructure spanning these domains would increase capacity to understand whole-of-system efforts to prevent child maltreatment.

The use of a chronic disease and risk factor surveillance system to determine the age, period and cohort effects on the prevalence of obesity and diabetes in South Australian adults--2003-2013.

BACKGROUND: Age, period and cohort (APC) analyses, using representative, population-based descriptive data, provide additional understanding behind increased prevalence rates. METHODS: Data on obesity and diabetes from the South Australian (SA) monthly chronic disease and risk factor surveillance system from July 2002 to December 2013 (n = 59,025) were used. Age was the self-reported age of the respondent at the time of the interview. Period was the year of the interview and cohort was age subtracted from the survey year. Cohort years were 1905 to 1995. All variables were treated as continuous. The age-sex standardised prevalence for obesity and diabetes was calculated using the Australia 2011 census. The APC models were constructed with ''apcfit'' in Stata. RESULTS: The age-sex standardised prevalence of obesity and diabetes increased in 2002-2013 from 18.6% to 24.1% and from 6.2% to 7.9%. The peak age for obesity was approximately 70 years with a steady increasing rate from 20 to 70 years of age. The peak age for diabetes was approximately 80 years. There were strong cohort effects and no period effects for both obesity and diabetes. The magnitude of the cohort effect is much more pronounced for obesity than for diabetes. CONCLUSION: The APC analyses showed a higher than expected peak age for both obesity and diabetes, strong cohort effects with an acceleration of risk after 1960s for obesity and after 1940s for diabetes, and no period effects. By simultaneously considering the effects of age, period and cohort we have provided additional evidence for effective public health interventions.

Physical inactivity and incidence of obesity among South Australian adults.

The aim of this paper is to examine the association of physical inactivity with incidence of obesity in the South Australian adult population. Two representative data sources were used - the South Australian Monitoring and Surveillance System (SAMSS), a monthly surveillance system, and the North West Adelaide Health Study (NWAHS), a biomedical cohort study. There were 75.3% (n = 12873) SAMSS participants and 72.8% (n = 1521) of NWAHS participants that were not obese at baseline. The cumulative incidence of obesity for SAMSS participants from the previous year to the current year was 2.7%. The cumulative incidence of obesity for NWAHS participants between baseline and stage 3 was 14.4%. Physical inactivity was associated with incident obesity (RR 1.48, 95% CI 1.14-1.90 [SAMSS] and RR 1.41, 95% CI 1.03-1.93 [NWAHS]). This association remained, but was attenuated after adjustment for chronic conditions, risk factors and socio-demographic factors. However, physical activity should be continued to be encouraged in the population for its known additional health benefits.

A comparison of Australian rural and metropolitan cardiovascular risk and mortality: the Greater Green Triangle and North West Adelaide population surveys.

OBJECTIVES: Cardiovascular (CVD) mortality disparities between rural/regional and urban-dwelling residents of Australia are persistent. Unavailability of biomedical CVD risk factor data has, until now, limited efforts to understand the causes of the disparity. This study aimed to further investigate such disparities. DESIGN: Comparison of (1) CVD risk measures between a regional (Greater Green Triangle Risk Factor Study (GGT RFS, cross-sectional study, 2004-2006) and an urban population (North West Adelaide Health Study (NWAHS, longitudinal cohort study, 2004-2006); (2) Australian Bureau of Statistics (ABS) CVD mortality rates between these and other Australian regions; and (3) ABS CVD mortality rates by an area-level indicator of socioeconomic status, the Index of Relative Socioeconomic Disadvantage (IRSD). SETTING: Greater Green Triangle (GGT, Limestone Coast, Wimmera and Corangamite Shires) of South-Western Victoria and North-West Adelaide (NWA). PARTICIPANTS: 1563 GGT RFS and 3036 NWAHS stage 2 participants (aged 25-74) provided some information (self-administered questionnaire +/- anthropometric and biomedical measurements). PRIMARY AND SECONDARY OUTCOME MEASURES: Age-group specific measures of absolute CVD risk, ABS CVD mortality rates by study group and Australian Standard Geographical Classification (ASGC) region. RESULTS: Few significant differences in CVD risk between the study regions, with mean absolute CVD risk ranging from approximately 1% in the age group 35-39 years to 14% in the age group 70-74 years. [corrected]. Similar mean 2003-2007 (crude) mortality rates in GGT (98, 95% CI 87 to 111), NWA (103, 95% CI 96 to 110) and regional Australia (92, 95% CI 91 to 94). NWA mortality rates exceeded that of other city areas (70, 95% CI 69 to 71). Lower measures of socioeconomic status were associated with worse CVD outcomes regardless of geographic location. CONCLUSIONS: Metropolitan areas do not always have better CVD risk factor profiles and outcomes than rural/regional areas. Needs assessments are required for different settings to elucidate relative contributions of the multiple determinants of risk and appropriate cardiac healthcare strategies to improve outcomes.