An Economic Evaluation of Australia's Newborn Hearing Screening Program: A Within-Study Cost-Effectiveness Analysis.

OBJECTIVES: Hearing loss is one of the most prevalent congenital disorders among children. Many countries have implemented universal newborn hearing screening (UNHS) for the early diagnosis and treatment of hearing loss. Despite widespread implementation, the value for money of UNHS is unclear due to lack of cost and outcomes data from rigorous study designs. The objective of this research is to conduct a within-study cost-effectiveness analysis of UNHS compared with targeted screening (targeting children with risk factors of hearing loss) from the Australian healthcare system perspective. This evaluation is the first economic evaluation to assess the cost-effectiveness of UNHS compared to targeted screening using real-world data from a natural experiment. DESIGN: The evaluation assumed the Australian healthcare system perspective and considered a time horizon of 5 years. Utilities were estimated using responses to the Health Utilities Index Mark III. Screening costs were estimated based on the Victorian Infant Hearing Screening Program. Ongoing costs were estimated based on administrative data, while external data sources were used to estimate costs related to hearing services. Missing data were handled using the multiple imputation method. Outcome measures included quality-adjusted life years (QALYs) and four language and communication-related outcomes: Peabody Picture Vocabulary Test, Wechsler Nonverbal Scale of Ability, Progressive Achievement Test, and comprehensive, expressive, and total language scores based on the Preschool Language Scale. RESULTS: On average, the UNHS cost an extra Australian dollar (A$)22,000 per diagnosed child and was associated with 0.45 more QALYs per diagnosed child compared with targeted screening to 5 years, resulting in an incremental cost-effectiveness ratio (ICER) of A$48,000 per QALY gained. The ICERs for language outcomes lay between A$3,900 (for expressive language score) and A$83,500 per one-point improvement in language score (for Wechsler Nonverbal Scale of Ability). UNHS had a 69% probability of being more cost-effective compared to targeted screening at a willingness to pay threshold of A$60,000 per QALY gained. ICERs were most sensitive to the screening costs. CONCLUSIONS: The evaluation demonstrated the usefulness of a within-study economic evaluation to understand the value for money of the UNHS program in the Australian context. Findings from this evaluation suggested that screening costs were the key driver of cost-effectiveness results. Most outcomes were not significantly different between UNHS and targeted screening groups. The ICER may be overestimated due to the short follow-up period. Further research is warranted to include long-term resource use and outcome data, late diagnosis, transition and remission between severity levels, and timing of diagnosis and treatment.

Inequality in early childhood chronic health conditions requiring hospitalisation: A data linkage study of health service utilisation and costs.

BACKGROUND: The cost of socioeconomic inequality in health service use among Australian children with chronic health conditions is poorly understood. OBJECTIVES: To quantify the cost of socioeconomic inequality in health service use among Australian children with chronic health conditions. METHODS: Cohort study using a whole-of-population linked administrative data for all births in Queensland, Australia, between July 2015 and July 2018. Socioeconomic status was defined by an areas-based measure, grouping children into quintiles from most disadvantaged (Q1) to least disadvantaged (Q5) based on their postcode at birth. Study outcomes included health service utilisation (inpatient, emergency department, outpatient, general practitioner, specialist, pathology and diagnostic imaging services) and healthcare costs. RESULTS: Of the 238,600 children included in the analysis, 10.4% had at least one chronic health condition. Children with chronic health conditions in Q1 had higher rates of inpatient (6.6, 95% confidence interval [CI] 6.4, 6.7), emergency department (7.2, 95% CI 7.0, 7.5) and outpatient (20.3, 95% CI 19.4, 21.3) service use compared to children with chronic health conditions in Q5. They also had lower rates of general practitioner (37.5, 95% CI 36.7, 38.4), specialist (8.9, 95% CI 8.5, 9.3), pathology (10.7, 95% CI 10.2, 11.3), and diagnostic imaging (4.3, 95% CI 4.2,4.5) service use. Children with any chronic health condition in Q1 incurred lower median out-of-pocket fees than children in Q5 ($0 vs $741, respectively), lower median Medicare funding ($2710, vs $3408, respectively), and higher median public hospital funding ($31, 052 vs $23, 017, respectively). CONCLUSIONS: Children of most disadvantage are more likely to access public hospital provided services, which are accessible free of charge to patients. These children are less likely to access general practitioner, specialist, pathology and diagnostic imaging services; all of which are critical to the ongoing management of chronic health conditions, but often attract an out-of-pocket fee.

Predictors in Infancy for Language and Academic Outcomes at 11 Years.

OBJECTIVES: To examine the contribution of early life factors and preschool- and school-aged language abilities to children's 11-year language and academic outcomes. METHODS: Participants (N = 839) were from a prospective community cohort study of 1910 infants recruited at 8 to 10 months of age. Early life factors included a combination of child (prematurity, birth weight), family (socioeconomic disadvantage, family history of language difficulties), and maternal factors (education, vocabulary, and age). Language (standardized assessment of receptive and expressive skills) and academic (national assessment) outcomes at 11 years were predicted by using a series of multivariable regression models. RESULTS: Early life factors explained 11% to 12% of variance in language scores at 11 years. The variance explained increased to 47% to 64% when language scores from 2 to 7 years were included. The largest increase in variance explained was with 4-year language scores. The same early life factors explained 13% to 14% of academic scores at 11 years, with increases to 43% to 54% when language scores from 2 to 11 years were included. Early life factors adequately discriminated between children with typical and low language scores but were much better discriminators of children with typical and low academic scores. When earlier language scores were added to models then the area under the curve increased to 0.9 and above. CONCLUSIONS: Children's language outcomes at 11 years are accurately predicted by their 4-year language ability and their academic outcomes at 11 years are predicted by early family and home environment factors. Children with low language abilities at 11 years consistently performed more poorly on national assessments of literacy and numeracy.

Health-Related Quality of Life in Children With Low Language or Congenital Hearing Loss, as Measured by the PedsQL and Health Utility Index Mark 3.

OBJECTIVES: To examine health-related quality of life (HRQoL) in young children with low language or congenital hearing loss and to explore the value of assessing HRQoL by concurrently administering 2 HRQoL instruments in populations of children. METHODS: Data were from 2 Australian community-based studies: Language for Learning (children with typical and low language at age 4 years, n = 1012) and the Statewide Comparison of Outcomes study (children with hearing loss, n = 108). HRQoL was measured using the parent-reported Health Utilities Index Mark 3 (HUI3) and the Pediatrics Quality of Life Inventory 4.0 (PedsQL) generic core scale. Agreement between the HRQoL instruments was assessed using intraclass correlation and Bland-Altman plots. RESULTS: Children with low language and with hearing loss had lower HRQoL than children with normal language; the worst HRQoL was experienced by children with both. The lower HRQoL was mainly due to impaired school functioning (PedsQL) and speech and cognition (HUI3). Children with hearing loss also had impaired physical and social functioning (PedsQL), vision, hearing, dexterity, and ambulation (HUI3). Correlations between instruments were poor to moderate, with low agreement. CONCLUSIONS: Children with low language and congenital hearing loss might benefit from interventions targeting overall health and well-being, not just their impairments. The HUI3 and PedsQL each seemed to provide unique information and thus may supplement each other in assessing HRQoL of young children, including those with low language or congenital hearing loss.

Direct assessment of mental health and metabolic syndrome amongst Indonesian adolescents: a study design for a mixed-methods study sampled from school and community settings.

Non-communicable diseases (NCDs) are the leading cause of morbidity and mortality globally, with the burden largely borne by people living in low- and middle-income countries. Adolescents are central to NCD control through the potential to modify risks and alter the trajectory of these diseases across the life-course. However, an absence of epidemiological data has contributed to the relative exclusion of adolescents from policies and responses. This paper documents the design of a study to measure the burden of metabolic syndrome (a key risk for NCDs) and poor mental health (a key outcome) amongst Indonesian adolescents. Using a mixed-method design, we sampled 16-18-year-old adolescents from schools and community-based settings across Jakarta and South Sulawesi. Initial formative qualitative enquiry used focus group discussions to understand how young people conceptualise mental health and body weight (separately); what they perceive as determinants of these NCDs; and what responses to these NCDs should involve. These findings informed the design of a quantitative survey that adolescents self-completed electronically. Mental health was measured using the Centre for Epidemiologic Studies Depression Scale-Revised (CESD-R) and Kessler-10 (both validated against formal psychiatric interview in a subsample), with the metabolic syndrome measured using biomarkers and anthropometry. The survey also included scales relating to victimisation, connectedness, self-efficacy, body image and quality of life. Adolescents were sampled from schools using a multistage cluster design, and from the community using respondent-driven sampling (RDS). This study will substantially advance the field of NCD measurement amongst adolescents, especially in settings like Indonesia. It demonstrates that high quality, objective measurement is acceptable and feasible, including the collection of biomarkers in a school-based setting. It demonstrates how comparable data can be collected across both in-school and out of school adolescents, allowing a more comprehensive measure of NCD burden, risk and correlates.

Cost-effectiveness of preventing child internalising problems: Results from the translational trial of Cool Little Kids at school entry.

OBJECTIVE: A translational trial evaluated the effectiveness of screening for inhibited childhood temperament, followed by a preventive parenting program -Cool Little Kids. This study determined the cost-effectiveness from societal and health sector perspectives using trial data. METHOD: Resources to deliver the screening and parenting sessions were determined from study records. Parents completed a questionnaire reporting resources used at one-year follow-up. Standard Australian unit costs were applied. Clinical outcomes for children and parental quality adjusted life-years (QALYs) were used to calculate incremental cost-effectiveness ratios (ICERs). RESULTS: Total societal costs were lower, but non-significant for the intervention compared to the control group (mean difference -$500 p = 0.937). Total health sector costs were significantly greater (mean difference $1,956; p = 0.015). The intervention led to significantly fewer internalising symptoms (Strengths and Difficulties Questionnaire (SDQ)-emotional difficulties adjusted mean difference -0.5; p = 0.006), fewer children with SDQ-emotional symptoms in the abnormal range (24.2 % vs. 33.0 % p = .014) and fewer with diagnosed anxiety (44.2 % vs. 50.2 % p = 0.427). From the societal perspective, the intervention would likely be cost-effective. Health sector ICERs were $1,171/SDQ-emotional symptom decrease, $51/abnormal SDQ avoided and $77/anxiety case avoided. CONCLUSIONS: This economic analysis alongside an implementation study provides an early indication that Cool Little Kids may be cost-effective.

Mapping PedsQLTM scores onto CHU9D utility scores: estimation, validation and a comparison of alternative instrument versions.

BACKGROUND: The Paediatric Quality of Life InventoryTM 4.0 Generic Core Scales (PedsQL) is a non-preference based instrument for assessing health related quality of life (HRQoL) in children. Recent papers presented algorithms of parental proxy and short-form versions of the PedsQL onto the validated preference-based Child Health Utility 9D (CHU9D) instrument, to enable conversion of PedsQL scores to quality adjusted life years for use in economic evaluation. However, further research was needed to both validate these algorithms, and assess if use of the full 23-item PedsQL self-report instrument is preferable to other PedsQL versions for mapping onto child self-report CHU9D utilities. OBJECTIVE: To develop a mapping algorithm for converting the 23-item PedsQL instrument onto the CHU9D instrument and provide an external validation of two recently published algorithms that might be considered alternatives. METHODS: Data from children in the Longitudinal Study of Australian Children (LSAC) were used (N = 1801). Six econometric methods were compared to identify the best algorithms, assessed against a series of goodness-of-fit criteria. The same data and goodness-of-fit criteria were used in the external validation exercise for previously published mapping algorithms. RESULTS: The optimal mapping algorithm was identified, which used PedsQL dimension scores to predict the CHU9D utilities. It performed well against standard goodness-of-fit tests. The external validation exercise revealed the recently published alternative algorithms also performed relatively well. CONCLUSION: The identified mapping algorithms can be used to facilitate cost-utility analysis in comparable populations when only the PedsQL instrument is available. Results from this population indicate the algorithms identified in this paper are well suited for estimating CHU9D self-report utilities when the full 23-item self-report PedsQL instrument has been used.

Early life socioeconomic determinants of dietary score and pattern trajectories across six waves of the Longitudinal Study of Australian Children.

BACKGROUND: Social patterning of dietary-related diseases may partly be explained by population disparities in children's diets. This study aimed to determine which early life socioeconomic factors best predict dietary trajectories across childhood. METHODS: For waves 2-6 of the Baby (B) Cohort (ages 2-3 to 10-11 years) and waves 1-6 of the Kindergarten (K) Cohort (ages 4-5 to 14-15 years) of the Longitudinal Study of Australian Children, we constructed trajectories of dietary scores and of empirically derived dietary patterns. Dietary scores, based on the Australian Dietary Guidelines, summed children's consumption frequencies of seven groups of foods or drinks over the last 24 hours. Dietary patterns at each wave were derived using factor analyses of 12-16 food or drink items. Using multinomial logistic regression analyses, we examined associations of baseline single (parental education, remoteness area, parental employment, income, food security and home ownership) and composite (socioeconomic position and neighbourhood disadvantage) factors with adherence to dietary trajectories. RESULTS: All dietary trajectory outcomes across both cohorts showed profound gradients by composite socioeconomic position but not by neighbourhood disadvantage. For example, odds for children in the lowest relative to highest socioeconomic position quintile being in the 'never healthy' relative to the 'always healthy' score trajectory were OR=16.40, 95% CI 9.40 to 28.61 (B Cohort). Among the single variables, only parental education consistently predicted dietary trajectories. CONCLUSION: Child dietary trajectories vary profoundly by family socioeconomic position. If causal, reducing dietary inequities may require researching underlying pathways, tackling socioeconomic inequities and targeting health promoting interventions to less educated families.

Socioeconomic Position Is Associated With Carotid Intima-Media Thickness in Mid-Childhood: The Longitudinal Study of Australian Children.

BACKGROUND: Lower socioeconomic position (SEP) predicts higher cardiovascular risk in adults. Few studies differentiate between neighborhood and family SEP or have repeated measures through childhood, which would inform understanding of potential mechanisms and the timing of interventions. We investigated whether neighborhood and family SEP, measured biennially from ages 0 to 1 year onward, was associated with carotid intima-media thickness (IMT) at ages 11 to 12 years. METHODS AND RESULTS: Data were obtained from 1477 families participating in the Child Health CheckPoint study, nested within the Longitudinal Study of Australian Children. Disadvantaged family and neighborhood SEP was cross-sectionally associated with thicker maximum carotid IMT in separate univariable linear regression models. Associations with family SEP were not attenuated in multivariable analyses, and associations with neighborhood SEP were attenuated only in models adjusted for family SEP. The difference in maximum carotid IMT between the highest and lowest family SEP quartile measured at ages 10 to 11 years was 10.7 µm (95% CI, 3.4-18.0; P=0.004), adjusted for age, sex, pubertal status, passive smoking exposure, body mass index, blood pressure, and arterial lumen diameter. In longitudinal analyses, family SEP measured as early as age 2 to 3 years was associated with maximum carotid IMT at ages 11 to 12 years (difference between highest and lowest quartile: 8.5 µm; 95% CI, 1.3-15.8; P=0.02). No associations were observed between SEP and mean carotid IMT. CONCLUSIONS: We report a robust association between lower SEP in early childhood and carotid IMT in mid-childhood. Further investigation of mechanisms may inform pediatric cardiovascular risk assessment and prevention strategies.

Socioeconomic status in childhood and C reactive protein in adulthood: a systematic review and meta-analysis.

BACKGROUND: Inflammation plays a central role in cardiometabolic disease and may represent a mechanism linking low socioeconomic status (SES) in early life and adverse cardiometabolic health outcomes in later life. Accumulating evidence suggests an association between childhood SES and adult inflammation, but findings have been inconsistent. METHODS: We conducted a systematic review and meta-analysis of observational studies to quantify the association between childhood (age <18 years) SES and the inflammatory marker C reactive protein (CRP) in adulthood. Studies were identified in Medline and Embase databases, and by reviewing the bibliographies of articles published from 1946 to December 2015. Study-specific estimates were combined into meta-analyses using random-effects models. RESULTS: 15 of 21 eligible studies (n=43 629) were ultimately included in two separate meta-analyses. Compared with those from the most advantaged families, participants from the least advantaged families had 25% higher CRP levels (ratio change in geometric mean CRP: 1.25; 95% CI 1.19 to 1.32) in minimally adjusted analyses. This finding was attenuated by the inclusion of adult body mass index (BMI) in adjusted models, suggesting BMI has a strong mediating role in CRP levels. CONCLUSIONS: We observed an inverse association between childhood SES and adulthood CRP, potentially mediated through BMI. Investigating how childhood SES is associated with childhood BMI and CRP would provide insight into the effective timing of social and clinical interventions to prevent cardiometabolic disease.

Population Outcomes of Three Approaches to Detection of Congenital Hearing Loss.

BACKGROUND: Universal newborn hearing screening was implemented worldwide largely on modeled, not measured, long-term benefits. Comparative quantification of population benefits would justify its high cost. METHODS: Natural experiment comparing 3 population approaches to detecting bilateral congenital hearing loss (>25 dB, better ear) in Australian states with similar demographics and services: (1) universal newborn hearing screening, New South Wales 2003-2005, n = 69; (2) Risk factor screening (neonatal intensive care screening + universal risk factor referral), Victoria 2003-2005, n = 65; and (3) largely opportunistic detection, Victoria 1991-1993, n = 86. Children in (1) and (2) were followed at age 5 to 6 years and in (3) at 7 to 8 years. Outcomes were compared between states using adjusted linear regression. RESULTS: Children were diagnosed younger with universal than risk factor screening (adjusted mean difference -8.0 months, 95% confidence interval -12.3 to -3.7). For children without intellectual disability, moving from opportunistic to risk factor to universal screening incrementally improved age of diagnosis (22.5 vs 16.2 vs 8.1 months, P < .001), receptive (81.8 vs 83.0 vs 88.9, P = .05) and expressive (74.9 vs 80.7 vs 89.3, P < .001) language and receptive vocabulary (79.4 vs 83.8 vs 91.5, P < .001); these nonetheless remained well short of cognition (mean 103.4, SD 15.2). Behavior and health-related quality of life were unaffected. CONCLUSIONS: With new randomized trials unlikely, this may represent the most definitive population-based evidence supporting universal newborn hearing screening. Although outperforming risk factor screening, school entry language still lagged cognitive abilities by nearly a SD. Prompt intervention and efficacy research are needed for children to reach their potential.

Two-Year Outcomes of a Population-Based Intervention for Preschool Language Delay: An RCT.

OBJECTIVE: We have previously shown short-term benefits to phonology, letter knowledge, and possibly expressive language from systematically ascertaining language delay at age 4 years followed by the Language for Learning intervention. Here, we report the trial's definitive 6-year outcomes. METHODS: Randomized trial nested in a population-based ascertainment. Children with language scores >1.25 SD below the mean at age 4 were randomized, with intervention children receiving 18 1-hour home-based therapy sessions. Primary outcome was receptive/expressive language. Secondary outcomes were phonological, receptive vocabulary, literacy, and narrative skills; parent-reported pragmatic language, behavior, and health-related quality of life; costs of intervention; and health service use. For intention-to-treat analyses, trial arms were compared using linear regression models. RESULTS: Of 1464 children assessed at age 4, 266 were eligible and 200 randomized; 90% and 82% of intervention and control children were retained respectively. By age 6, mean language scores had normalized, but there was little evidence of a treatment effect for receptive (adjusted mean difference 2.3; 95% confidence interval [CI] -1.2 to 5.7; P = .20) or expressive (0.8; 95% CI -1.6 to 3.2; P = .49) language. Of the secondary outcomes, only phonological awareness skills (effect size 0.36; 95% CI 0.08-0.65; P = .01) showed benefit. Costs were higher for intervention families (mean difference AU$4276; 95% CI: $3424 to $5128). CONCLUSIONS: Population-based intervention targeting 4-year-old language delay was feasible but did not have lasting impacts on language, possibly reflecting resolution in both groups. Long-term literacy benefits remain possible but must be weighed against its cost.

Health-care costs of underweight, overweight and obesity: Australian population-based study.

AIM: Child health varies with body mass index (BMI), but it is unknown by what age or how much this attracts additional population health-care costs. We aimed to determine the (1) cross-sectional relationships between BMI and costs across the first decade of life and (2) in longitudinal analyses, whether costs increase with duration of underweight or obesity. PARTICIPANTS: Baby (n = 4230) and Kindergarten (n = 4543) cohorts in the nationally representative Longitudinal Study of Australian Children. OUTCOME: Medicare Benefits Scheme (including all general practitioner plus a large proportion of paediatrician visits) plus prescription medication costs to federal government from birth to sixth (Baby cohort) and fourth to tenth (Kindergarten cohort) birthdays. PREDICTOR: biennial BMI measurements over the same period. RESULTS: Among Australian children under 10 years of age, 5-6% were underweight, 11-18% overweight and 5-6% obese. Excess costs with low and high BMI became evident from age 4-5 years, with normal weight accruing the least, obesity the most, and underweight and overweight intermediate costs. Relative to overall between-child variation, these excess costs per child were very modest, with a maximum of $94 per year at age 4-5 years. Nonetheless, this projects to a substantial cost to government of approximately $13 million per annum for all Australian children aged less than 10 years. CONCLUSIONS: Substantial excess population costs provide further economic justification for promoting healthy body weight. However, obese children's low individual excess health-care costs mean that effective treatments are likely to increase short-term costs to the public health purse during childhood.

Trajectories and outcomes among children with special health care needs.

BACKGROUND AND OBJECTIVE: Outcomes for children with special health care needs (SHCN) can vary by their patterns and persistence over time. We aimed to empirically establish typical SHCN trajectories throughout childhood and their predictive relationships with child and parent outcomes. METHODS: The 2 cohorts of the nationally representative Longitudinal Study of Australian Children were recruited in 2004 at ages 0 to 1 (n = 5107, B cohort) and 4 to 5 years (n = 4983, K cohort). The parent-reported Children With SHCN Screener (Short Form) was completed at each of 4 biennial waves. Wave 4 outcomes were parent-reported behavior and health-related quality of life, teacher-reported learning, and directly assessed cognition. Both parents self-reported mental distress. We derived intracohort trajectories by using latent class analysis in Mplus. We compared mean outcome scores across trajectories by using linear regression, adjusting for socioeconomic position. RESULTS: Four distinct SHCN trajectories were replicated in both cohorts: persistent (B 6.8%, K 8.7%), emerging (B 4.1%, K 11.5%), transient (B 7.9%, K 4.2%), and none (B 81.3%, K 75.6%). Every outcome was adversely affected except fathers' mental health. From infancy to age 6 to 7 years, the persistent and emerging groups had similarly poor outcomes. From age 4 and 5 to 10 and 11 years, outcomes were incrementally poorer on moving from none to transient to emerging and to persistent SHCN. Effect sizes were largest for behavior, learning, and psychosocial outcomes. CONCLUSIONS: Adverse outcomes are shaped more by cumulative burden than point prevalence of SHCNs. In addition to providing care according to a child's need at any given time, prioritizing care toward persistent SHCNs may have the biggest benefits for children and parents.

Healthcare costs associated with language difficulties up to 9 years of age: Australian population-based study.

PURPOSE: This study aimed to quantify the non-hospital healthcare costs associated with language difficulties within two nationally representative samples of children. METHOD: Data were from three biennial waves (2004-2008) of the Longitudinal Study of Australian Children (B cohort: 0-5 years; K cohort: 4-9 years). Language difficulties were defined as scores ≤ 1.25 SD below the mean on measures of parent-reported communication (0-3 years) and directly assessed vocabulary (4-9 years). Participant data were linked to administrative data on non-hospital healthcare attendances and prescription medications from the universal Australian Medicare subsidized healthcare scheme. RESULT: It was found that healthcare costs over each 2-year age band were higher for children with than without language difficulties at 0-1, 2-3, and 4-5 years, notably 36% higher (mean difference = $AU206, 95% CI = $90, $321) at 4-5 years (B cohort). The slightly higher 2-year healthcare costs for children with language difficulties at 6-7 and 8-9 years were not statistically different from those without language difficulties. Modelled to the corresponding Australian child population, 2-year government costs ranged from $AU1.2-$AU12.1 million (depending on age examined). Six-year healthcare costs increased with the persistence of language difficulties in the K cohort, with total Medicare costs increasing by $192 (95% CI = $74, $311; p = .002) for each additional wave of language difficulties. CONCLUSION: Language difficulties (whether transient or persistent) were associated with substantial excess population healthcare costs in childhood, which are in addition to the known broader costs incurred through the education system. It is unclear whether healthcare costs were specifically due to the assessment and/or treatment of language difficulties, as opposed to conditions that may be co-morbid with or may cause language difficulties.

Primary health-care costs associated with special health care needs up to age 7 years: Australian population-based study.

AIM: We studied infants and children with and without special health care needs (SHCN) during the first 8 years of life to compare the (i) types and costs to the government's Medicare system of non-hospital health-care services and prescription medication in each year and (ii) cumulative costs according to persistence of SHCN. METHODS: Data from the first two biennial waves of the nationally representative Longitudinal Study of Australian Children, comprising two independent cohorts recruited in 2004, at ages 0-1 (n = 5107) and 4-5 (n = 4983) years. Exposure condition: parent-reported Children with Special Health Care Needs Screener at both waves, spanning ages 0-7 years. OUTCOME MEASURE: Federal Government Medicare expenditure, via data linkage to the Medicare database, on non-hospital health-care attendances and prescriptions from birth to 8 years. RESULTS: At both waves and in both cohorts, >92% of children had complete SHCN and Medicare data. The proportion of children with SHCN increased from 6.1% at age 0-1 years to 15.0% at age 6-7 years. Their additional Medicare costs ranged from $491 per child at 6-7 years to $1202 at 0-1 year. This equates to an additional $161.8 million annual cost or 0.8% of federal funding for non-hospital-based health care. In both cohorts, costs were highest for children with persistent SHCNs. CONCLUSIONS: SHCNs incur substantial non-hospital costs to Medicare, and no doubt other sources of care, from early childhood. This suggests that economic evaluations of early prevention and intervention services for SHCNs should consider impacts on not only the child and family but also the health-care system.

Is glycosylated haemoglobin associated with psychosocial stress in non-diabetic 6-year-olds?

AIM: Glycosylated haemoglobin (HbA1c), a marker of diabetic glycemic control, is associated with chronic psychosocial stress in non-diabetic adults. This study aimed to determine whether HbA1c also acts as a biomarker of psychosocial stress in healthy 6-year-olds. DESIGN AND PARTICIPANTS: Eligible participants were 326 children recruited from 6 socio-economically diverse areas in Melbourne, Australia, who took part in an earlier randomised trial for sleep problems at age 7 months. At 6 years, they participated in a follow-up assessment. OUTCOME:  HbA1c collected by finger-prick. Exposures (collected simultaneously): proxy measures of child stress including: (i) child mental health; (ii) maternal mental health (depression, anxiety, stress), negative life events in the preceding year, life stresses and coping; and (iii) family socioeconomic status and financial stress. ANALYSES: linear regressions, adjusted for original randomisation status and clustering. RESULTS: Sixty percent (134/225) of children retained at 6 years provided HbA1c data, which ranged from 3.9%-5.8% (SD 0.3%). No child or family variable was associated with HbA1c. Of the maternal variables, only anxiety predicted HbA1c (adjusted difference per point increase: -0.01, 95% CI: -0.003 to 0.02, P = 0.01); this association was in the opposite direction to that hypothesised and clinically insignificant. CONCLUSION: HbA1c was not associated with psychosocial stress in healthy 6-year-olds. This suggests that any link between HbA1c and psychosocial stress emerges after this age, and that HbA1c is unlikely to be a reliable biomarker for stress in early childhood or over the transition to school.