Evaluation of RuralkidsGPS; A Novel Integrated Paediatric Care Coordination Model of Care in Rural Australia - a Mixed-Methods Study Protocol.

Introduction: The Kids Guided Personalised Service (KidsGPS) is an integrated model of care coordination for children and young people (CYP) living with medical complexity. After successful implementation in an urban setting, the model of care will be rolled-out at scale to four rural regions in New South Wales, Australia to establish RuralKidsGPS. This paper describes the approach and methods for the outcome and implementation evaluation of RuralKidsGPS. Description: The evaluation aims to assess health, economic and implementation outcomes and processes whilst identifying barriers and enablers to inform future rollouts. Measures of health service utilisation (primary outcome), child health related quality of life and parent/carer experiences will be assessed. The implementation evaluation will occur alongside the outcomes evaluation and is underpinned by the Consolidated Framework for Implementation Research and informed by validated quantitative measures and qualitative interviews with patients, families, healthcare providers and service managers. An economic analysis will determine incremental cost effectiveness ratios for the new model of care using health service utilisation data. Conclusion: RuralKidsGPS, if effective, has the potential to improve equity of access to integrated care for CYP and their families and this protocol may inform other evaluations of similar models of care delivered at scale.

Alpha NSW: What would it take to create a state-wide paediatric population-level learning health system?

BACKGROUND: The health and well-being of children in the first 2000 days has a lasting effect on educational achievement and long-term chronic disease in later life. However, the lack of integration between high-quality data, analytic capacity and timely health improvement initiatives means practitioners, service leaders and policymakers cannot use data effectively to plan and evaluate early intervention services and monitor high-level health outcomes. OBJECTIVE: Our exploratory study aimed to develop an in-depth understanding of the system and clinical requirements of a state-wide paediatric learning health system (LHS) that uses routinely collected data to not only identify where the inequities and variation in care are, but also to also inform service development and delivery where it is needed most. METHOD: Our approach included reviewing exemplars of how administrative data are used in Australia; consulting with clinical, policy and data stakeholders to determine their needs for a child health LHS; mapping the existing data points collected across the first 2000 days of a child's life and geospatially locating patterns of key indicators for child health needs. RESULTS: Our study identified the indicators that are available and accessible to inform service delivery and demonstrated the potential of using routinely collected administrative data to identify the gap between health needs and service availability. CONCLUSION: We recommend improving data collection, accessibility and integration to establish a state-wide LHS, whereby there is a streamlined process for data cleaning, analysis and visualisation to help identify populations in need in a timely manner.

Appraisal of the costs, health effects, and cost-effectiveness of screening, prevention, treatment and policy-indicated evidence-based interventions for eating disorders: a systematic review protocol.

BACKGROUND: Having reliable information to make decisions about the allocation of healthcare resources is needed to improve well-being and quality-of-life of individuals with eating disorders (EDs). EDs are a main concern for healthcare administrators globally, particularly due to the severity of health effects, urgent and complex healthcare needs, and relatively high and long-term healthcare costs. A rigorous assessment of up-to-date health economic evidence on interventions for EDs is essential for informing decision-making in this area. To date, health economic reviews on this topic lack a comprehensive assessment of the underlying clinical utility, type and amount of resources used, and methodological quality of included economic evaluations. The current review aims to (1) detail the type of costs (direct and indirect), costing approaches, health effects, and cost-effectiveness of interventions for EDs; (2) assess the nature and quality of available evidence to provide meaningful insights into the health economics associated with EDs. METHODS: All interventions for screening, prevention, treatment, and policy-based approaches for all Diagnostic and Statistics Manual (DSM-IV and DSM-5) listed EDs among children, adolescents, and adults will be included. A range of study designs will be considered, including randomised controlled trials, panel studies, cohort studies, and quasi-experimental trials. Economic evaluations will consider key outcomes, including type of resources used (time and valued in a currency), costs (direct and indirect), costing approach, health effects (clinical and quality-of-life), cost-effectiveness, economic summaries used, and reporting and quality assessments. Fifteen general academic and field-specific (psychology and economics) databases will be searched using subject headings and keywords that consolidate costs, health effects, cost-effectiveness and EDs. Quality of included clinical studies will be assessed using risk-of-bias tools. Reporting and quality of the economic studies will be assessed using the widely accepted Consolidated Health Economic Evaluation Reporting Standards and Quality of Health Economic Studies frameworks, with findings of the review presented in tables and narratively. DISCUSSION: Results emanating from this systematic review are expected to highlight gaps in healthcare interventions/policy-focused approaches, under-estimates of the economic costs and disease-burden, potential under-utilisation of ED-related resources, and a pressing need for more complete health economic evaluations.

Assessing the relationship between psychosocial risk and pregnancy outcomes using the perinatal integrated psychosocial assessment (PIPA) tool.

BACKGROUND: The Perinatal Integrated Psychosocial Assessment (PIPA) tool screens for anxiety, depression, and psychosocial factors in pregnancy. We aimed to assess the association between PIPA-determined psychosocial risk and obstetric and neonatal outcomes. METHODS: Cohort study of all pregnant women who gave birth at ≥20 weeks of gestation in 2017-2019 at a tertiary maternity hospital in, Sydney, Australia. Women completed PIPA at their first antenatal visit and were assigned a PIPA risk category. At-risk women were reviewed and referred for support. The association between PIPA risk category and obstetric and neonatal outcomes was evaluated using multivariable logistic regression adjusting for sociodemographic and pregnancy factors. RESULTS: In all, 5969 women completed PIPA; 71.4% were assessed no/low risk, 17.5% medium risk, and 11.1% medium-high/high risk. Compared with no/low-risk women, medium-high/high-risk women were more likely to remain in hospital for >72 hours (aOR 1.47 [95% CI 1.33-1.64]); to not be breastfeeding at discharge (aOR 1.77 [95% CI 1.20-2.61]); to have their infants experience birth complications (aOR 1.24 [95% CI 1.03-1.50]); and to be admitted to the NICU (aOR 1.63 [95% CI 1.26-2.11]). There was a modest increase in odds of cesarean birth (aOR 1.12 [95% CI 1.00-1.27]), and no association with preterm birth or low birthweight. The risk of adverse outcomes disappeared for medium-high/high-risk women referred for support. CONCLUSIONS: The PIPA tool identified one in 10 women at high psychosocial risk with increased risk of adverse obstetric and neonatal outcomes. Adverse outcomes were attenuated for high-risk women who were referred for extra support, suggesting that psychosocial review and referral for high-risk women may reduce the risk of adverse obstetric and neonatal outcomes.

Special health care needs during childhood and academic achievement in secondary school.

BACKGROUND: Secondary education has lifelong implications for wellbeing. We evaluated associations between the duration and timing of special health care needs (SHCN) across childhood and academic achievement in secondary school. METHODS: Cohort design. The structured modelling approach was used to evaluate life-course models for associations between the duration and timing of SHCN (measured using a two-item SHCN screener across ages 4-5, 6-7, 8-9 and 10-11 years) and Grade 7 (median age 12.5 years) reading and numeracy achievement. Linear regressions were fitted for each life-course model: four critical period models (each including SHCN exposure in one period), one sensitive period model (including SHCN exposure in all periods) and two strict accumulation models (including the duration of SHCN exposure in linear form then categorical form). Interactions of SHCN with child sex and family socio-economic status (SES) were examined. RESULTS: Of 3734 children, 1845 were female. The number of children with SHCN was 434 (11.7%), 458 (12.9%), 534 (14.7%), 551 (15.4%) at 4-5, 6-7, 8-9 and 10-11 years respectively. For both outcomes, the linear strict accumulation model fitted best, and interactions of SHCN with sex and SES were non-significant. The average decrease in school achievement z score (95% confidence interval) per period of having SHCN was 0.04 (-0.07 to -0.02) for reading and 0.08 (-0.11 to -0.05) for numeracy. CONCLUSIONS: A longer duration of SHCN from age 4-11 years has small-sized cumulative associations with poorer Grade 7 reading and numeracy achievement. Each period of SHCN between 4 and 5 and 10-11 years was associated with nearly 0.05 and 0.1 of a standard deviation reduction in Grade 7 reading and numeracy scores respectively, and these associations did not appear to differ across sex or SES. These findings suggest that children with persistent SHCN are at risk of academic deficits and should receive focused interventions.

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.

Inequality in out of pocket fees, government funding and utilisation of maternal health services in Australia.

This study aimed to assess the distribution of service utilisation, out-of-pocket fees and government funding for maternal health care in Australia by socioeconomic group. A large linked administrative dataset was utilised. Women were grouped into socioeconomic quintiles using an area-based measure of socioeconomic status. Descriptive statistics were used to quantify the distribution of number of services, out of pocket fees, and government funding by socioeconomic quintile. Needs-adjusted concentration indices (CINA) were utilised to quantify inequity. The mean out of pocket fees for women of least socioeconomic advantage was $1,026 and for women of most socioeconomic advantage the mean was $2,432 (CINA 0.093, 95% CI: 0.088 - 0.098). However, use of many services were higher for women of most socioeconomic advantage: private obstetrician (CINA: 0.035, 95% CI: 0.032 - 0.038), other specialist services (CINA: 0.089, 95%CI: 0.083 - 0.094), and diagnostic and pathology tests (CINA: 0.027, 95%CI: 0.025 - 0.030). Federal government funding through Medicare was distributed towards women of most socioeconomic advantage (CINA: 0.036, 95%CI: 0.033 - 0.039); whereas government public hospital funding was skewed towards women of least socioeconomic advantage (CINA: -0.05, 95%CI: -0.057 - -0.046). Future policy changes in Australia's healthcare system need to ensure that women of least socioeconomic advantage have adequate access to maternity and early childhood care, and out of pocket fees are not an access barrier.

Prevalence and management of people with eating disorders presenting to primary care: A national study.

OBJECTIVE: Primary care practitioners are well placed to support diagnosis and appropriate treatment of eating disorders as they are often the first point of contact with the health care system. However, little is known about management of eating disorders in primary care. We aimed to estimate the prevalence of management of eating disorders in primary care and identify how these disorders are managed. METHODS: This study used data from the Bettering the Evaluation of Care of Health programme, which annually surveys 1000 randomly sampled general practitioners in Australia who each record details of 100 successive patient encounters. In total, data were utilised from 1,568,100 primary care encounters between 2000/2001 and 2015/2016. RESULTS: Eating disorders were managed in less than 1% of primary care encounters between 2000/2001 and 2015/2016. When extrapolated to the Australian population, up to 0.32% of the population were managed in primary care for a primary or probable eating disorder. In the majority of encounters where an eating disorder was managed (58.5%), the encounter was initiated for reasons other than the eating disorder itself. Of a group of patients identified with a clinically significant low body mass index (N = 5917), a small number (n = 118) had either no other diagnosis or a related condition that may be indicative of an eating disorder. In encounters where an eating disorder was managed, referrals to a mental health specialist/service, medical specialist and nutritionist/dietician were provided in 20%, 8% and 6% of encounters, respectively. Mental health treatment plans, which provide subsidised access to mental health services, were ascribed in approximately 7.7% of encounters where an eating disorder was managed. CONCLUSION: Primary care provides an opportunity to improve detection and management of eating disorders, particularly when patients present for 'other' issues or with unexplained low body mass index and one or more symptoms related to an eating disorder.

A national harmonised data collection network for neurodevelopmental disorders: A transdiagnostic assessment protocol for neurodevelopment, mental health, functioning and well-being.

Background: Children with neurodevelopmental disorders share common phenotypes, support needs and comorbidities. Such overlap suggests the value of transdiagnostic assessment pathways that contribute to knowledge about research and clinical needs of these children and their families. Despite this, large transdiagnostic data collection networks for neurodevelopmental disorders are not well developed. This paper describes the development of a nationally supported transdiagnostic clinical and research assessment protocol across Australia. The vision is to establish a harmonised network for data collection and collaboration that promotes transdiagnostic clinical practice and research. Methods: Clinicians, researchers and community groups across Australia were consulted using surveys and national summits to identify assessment instruments and unmet needs. A national research committee was formed and, using a consensus approach, selected assessment instruments according to pre-determined criteria to form a harmonised transdiagnostic assessment protocol. Results: Identified assessment instruments were clustered into domains of transdiagnostic assessment needs, which included child functioning/quality of life, child mental health, caregiver mental health, and family background information. From this, the research committee identified a core set of nine measures and an extended set of 14 measures that capture these domains with potential for further modifications as recommended by clinicians, researchers and community members. Conclusion: The protocol proposed here was established through a strong partnership between clinicians, researchers and the community. It will enable (i) consensus driven transdiagnostic clinical assessments for children with neurodevelopmental disorders, and (ii) research studies that will inform large transdiagnostic datasets across neurodevelopmental disorders and that can be used to inform research and policy beyond narrow diagnostic groups. The long-term vision is to use this framework to facilitate collaboration across clinics to enable large-scale data collection and research. Ultimately, the transdiagnostic assessment data can be used to inform practice and improve the lives of children with neurodevelopmental disorders and their families.

Financing Maternity and Early Childhood Healthcare in The Australian Healthcare System: Costs to Funders in Private and Public Hospitals Over the First 1000 Days.

BACKGROUND: Maternity care is a significant contributor to overall healthcare expenditure, and private care is seen as a mechanism to reduce the cost to public funders. However, public funders may still contribute to part of the cost of private care. The paper aims to quantify (1) the cost to different funders of maternal and early childhood healthcare over the first 1000 days for both women giving birth in private and public hospitals; (2) any variation in cost to different funders by birth type; and (3) the cost of excess caesarean sections in public and private hospitals in Australia. METHODS: This study utilised a whole of population linked administrative dataset, and classified costs by the funding source. The mean cost to different funders for private hospital births, and public hospital births in the Australian state, Queensland are presented by time period and by birth type. The World Health Organization's (WHO's) C-model was used to identify the optimal caesarean section rate based upon demographic and clinical factors, and counterfactual analysis was utilised to identify the cost to different funders if caesarean section had been utilised at this rate across Australia. RESULTS: We found that for women who gave birth in a public hospital as a public patient, the mean cost was $22 474. For women who gave birth in a private hospital the mean cost was $24 731, and the largest contributor was private health insurers ($11 550), followed by Medicare ($7261) and individuals ($3312). Private hospital births cost government funders $10 050 on average; whereas public hospital public patient births cost government funders $21 723 on average and public hospital private patient births cost government funders $20 899 on average. If caesarean section deliveries were reduced, public hospital funders could save $974 million and private health insurers could save $216 million. CONCLUSION: Private hospital births cost government funders less than public hospital births, but government funders still pay for around 40% of the cost of private hospital births. Caesarean sections, which are more frequently performed in private hospitals, are costly to all funders and reducing them could impart significant cost savings to all funders.

Adherence to eye examination guidelines among individuals with diabetes: An analysis of linked health data.

IMPORTANCE: Screening for diabetic retinopathy for early detection and treatment can prevent vision loss. BACKGROUND: We aimed to assess rates of eye examination of people with diabetes, adherence with national guidelines and investigate characteristics of those who do not adhere. DESIGN: We used data from the 45 and Up Study, a cohort study of 267 153 randomly selected residents aged ≥45 years from New South Wales, Australia. Individual survey data collected in 2006 to 2009 were linked to corresponding national Medicare Benefits Schedule claims data for 2006 to 2016. PARTICIPANTS: The study sample included 24 832 participants who reported having diabetes and at least 5 years of observation. METHODS: Claims for visits to optometrists or ophthalmologists were assessed to estimate rates of eye examination. Poisson regression models were used to investigate factors associated with non-adherence. MAIN OUTCOME MEASURE: Participants were classified as adherent if the average time between eye care claims was consistent with national guideline of having an eye exam every 2 years. RESULTS: Of 50% to 75% people with diabetes met the biennial eye examination guidelines and only 21% to 28% with diabetes duration ≥10 years were adherent to the annual eye examination guideline. Characteristics associated with greatest (~1.3-fold) risk of non-adherence were smoking, age <60 years and higher income. CONCLUSIONS AND RELEVANCE: There is a clear need to improve rates of adherence to eye examination guidelines among people with diabetes to reduce the personal and societal burden of diabetic retinopathy.

Prevalence, hospital admissions and costs of child chronic conditions: A population-based study.

AIM: To determine population-based prevalence, hospital use and costs for children admitted to hospital with chronic conditions. METHODS: We used hospital admissions data for children aged <16 years, 2002-2013 in New South Wales, Australia. RESULTS: Of all admissions, 35% (n = 692 514) included a diagnosis of a chronic condition. In 2013, prevalence was 25.1 per 1000 children. Children with greater socio-economic disadvantage or living in regional and remote areas had lower prevalence, but a higher proportion of emergency admissions. Prevalence rates were highest for respiratory and neurological conditions (9.4, 7.4 per 1000, respectively). Mental health conditions were most common in older children. Admissions involving chronic conditions had longer length of stay (3.0 vs. 1.6 days), consumed more bed-days (50% of total) and involved 43% of total hospital costs. CONCLUSION: Differences in prevalence and use of hospital services suggest inequities in access and need for more appropriate and equitable models of care.

The Real Happy Study: Protocol for a Prospective Assessment of the Real-World Effectiveness of the HAPIFED Program-a Healthy APproach to weIght management and Food in Eating Disorders.

The prevalence of obesity with comorbid binge eating behaviour is growing at a faster rate than that seen for either obesity or eating disorders as separate conditions. Approximately 6% of the population are affected and they potentially face a lifetime of poor physical and mental health outcomes and an inability to sustain long-term weight loss. Current treatment options are inadequate in that they typically address either obesity or eating disorders exclusively, not the combination of both conditions. By treating one condition without treating the other, relapse is common, and patients are often left disappointed with their lack of weight loss. An integrated approach to treating these individuals is needed to prevent a worsening of the comorbidities associated with excess body weight and eating disorders. A new therapy has recently been developed, named HAPIFED, which addresses both overweight/obesity and comorbid binge eating behaviour with the combination of behavioural weight loss therapy and cognitive behaviour therapy-enhanced (CBT-E). The aim of this paper is to document the protocol for the Real Happy Study, which will evaluate the effectiveness of the HAPIFED program in treating overweight or obesity with comorbid binge-eating behaviour in a real-world setting.

A Population-Based Matched-Sibling Analysis Estimating the Associations Between First Interpregnancy Interval and Birth Outcomes.

The association between a single interpregnancy interval (IPI) and birth outcomes has not yet been explored using matched methods. We modeled the odds of preterm birth, being small for gestational age, and having low birth weight in a second, live-born infant in a cohort of 192,041 sibling pairs born in Western Australia between 1980 and 2010. The association between IPI and birth outcomes was estimated from the interaction between birth order and IPI (with 18-23 months as the reference category), using conditional logistic regression. Matched analysis showed the odds of preterm birth were higher for siblings born following an IPI of <6 months (adjusted interaction odds ratio = 1.22, 95% confidence interval: 1.06, 1.38) compared with those born after an IPI of 18-23 months. There were no significant differences for IPIs of <6 months for other outcomes (small for gestational age or low birth weight). This is the first study to use matched analyses to investigate the association between a single IPI on birth outcomes. IPIs of <6 months were associated with increased odds of preterm birth in second-born infants, although the association is likely smaller than previously estimated by unmatched studies.

Association of Gestational Age and Severe Neonatal Morbidity with Mortality in Early Childhood.

BACKGROUND: Although infant and child mortality rates have decreased substantially worldwide over the past two decades, efforts continue in many nations to further these declines. The identification of pertinent perinatal factors that are associated with early childhood mortality would help with these efforts. We investigated the association of two crucial perinatal factors, gestational age and severe neonatal morbidity at birth, with mortality during infancy (29-364 days) and early childhood (1-5 years). METHODS: The study population included all singleton livebirths, ≥32 weeks' gestation in New South Wales, Australia in 2001-11. Birth data were linked to hospitalisation morbidity data and deaths data (linked birth cohort n = 871 916), and multivariable Cox regression models were used to assess mortality. RESULTS: The median follow-up time per child was 4.95 years (range 0.00-5.92 years; 3 614 738 total person-years), with 984 deaths observed. Gestational age was associated with increased mortality, and specifically from deaths attributable to infections, respiratory conditions, and injuries during infancy, but not during early childhood. Severe neonatal morbidity strongly mediated the effects of gestational age during infancy, but not during early childhood, and was associated with increased mortality from circulatory, nervous, and respiratory system causes. CONCLUSIONS: The direct effects of gestational age on mortality extended up to 1 year of age, whereas severe neonatal morbidity remained associated with heightened mortality into early childhood. Efforts to maximise the health and well-being of vulnerable infants, with emphasis on preventing infections and injuries, may help further reduce early childhood mortality.

Knowledge, advice and attitudes toward women driving a car after caesarean section or hysterectomy: A survey of obstetrician/gynaecologists and midwives.

BACKGROUND: Women are given variable information about when to recommence driving after surgery. AIMS: To assess obstetrician/gynaecologists' and midwives' knowledge, attitudes and advice about car driving after abdominal surgery including hysterectomy or caesarean section (CS). MATERIALS AND METHODS: An anonymous SurveyMonkey™ survey was distributed to accredited trainees and Fellows of the Royal Australian New Zealand College of Obstetricians and Gynaecologists and midwives registered with the Australian College of Midwives by email in November 2013. Demographic information, recommendations about driving, and reasoning behind these recommendations were collected. RESULTS: Nine hundred and seventy-seven clinician responses (15.8%) were analysed: 555 midwives, 92 trainees and 330 Fellows. Ninety-six percent gave advice about driving after surgery. Respondents considered pain (85.6%), medication (73.2%) and mobility (70.5%) the most important factors when advising on resumption of driving. After uncomplicated CS, 19% said they would advise a well woman that she could drive <4 weeks, 18% advised four weeks, 33% advised five to six weeks and 27% did not give a specific timeframe. Similar timeframes were given following hysterectomy. Of each professional group, trainees (49%) and midwives (48%) were more likely to advise waiting five to six weeks to resume driving compared with Fellows (9%) (P < 0.001). Although 71.5% of respondents thought that most women drove before four weeks, only 33.9% of respondents thought driving earlier than advice given was unsafe. CONCLUSIONS: Clinicians frequently give advice about driving after surgery. This advice is inconsistent and many advise women not to drive for significant time periods. This study highlights the need for education and research about driving after surgery.

Survival, Hospitalization, and Acute-Care Costs of Very and Moderate Preterm Infants in the First 6 Years of Life: A Population-Based Study.

OBJECTIVES: To investigate survival, hospitalization, and acute-care costs of very (28-31 weeks' gestation) and moderate preterm (32-33 weeks' gestation) infants in the first 6 years of life and compare outcomes with the more widely studied extremely preterm infants (24-27 weeks' gestation) and to full term (low risk) infants (39-40 weeks' gestation). STUDY DESIGN: Birth data from all women residing in New South Wales, Australia, with gestational ages between 24-33 and 39-40 weeks in 2001-2011 were linked probabilistically to hospitalization and mortality data. Study outcomes were evaluated with the use of descriptive and multivariable analyses at birth (N = 559,532), discharge (N = 540,240), and at 1 (N = 487,447) and 6 years of age (N = 230,498). RESULTS: Mortality was greatest among extremely preterm infants (eg, 31.2% within 6 years) and decreased with increasing gestational age. Likewise, hospitalization within the first year of life increased with decreasing gestational age (aOR 5.5 [95% CI 4.7-6.4], 3.7 [3.4-4.0], and 2.6 [2.5-2.8] for birth at 24-27, 28-31, and 32-33 weeks' gestation, relative to 39-40 weeks' gestation). Hospitalization remained significantly increased with preterm birth at each year of age up to 6 years (aORs 1.3-1.6 at 6 years). Cumulative costs were significantly greater with preterm birth within the first year of life, and also between 1 and 6 years of age. CONCLUSIONS: The risks of adverse health outcomes were significantly greater in very and moderately preterm infants relative to full term infants but lower than extremely preterm infants. Crucially, preterm birth was associated with prolonged increased odds of hospitalization (up to age 6 years), contributing to greater resource use.

Hospitalisations from 1 to 6 years of age: effects of gestational age and severe neonatal morbidity.

BACKGROUND: To investigate whether the adverse infant health outcomes associated with early birth and severe neonatal morbidity (SNM) persist beyond the first year of life and impact on paediatric hospitalisations for children up to 6 years of age. METHODS: The study population included all singleton live births, >32 weeks gestation in New South Wales, Australia, in 2001-2005, with follow-up to 6 years of age. Birth data were probabilistically linked to hospitalisation data (n = 392 964). The odds of hospitalisation, mean hospital length of stay (LOS) and costs, and cumulative LOS were evaluated by gestational age and SNM using multivariable analyses. RESULTS: A total of 74 341 (18.9%) and 41 404 (10.5%) infants were hospitalised once and more than once, respectively. SNM was associated with increased odds of hospitalisation once (adjusted odds ratio [aOR] 1.16 [95% confidence interval 1.10, 1.22]) and more than once [aOR 1.51 (1.43, 1.61)]. Decreasing gestational age was associated with increasing odds of hospitalisation more than once from aOR 1.19 at 37-38 weeks to 1.49 at 33-34 weeks. Average LOS and costs per hospital admission were increased with SNM but not with decreasing gestational age. Cumulative LOS was significantly increased with SNM and decreasing gestational age. CONCLUSIONS: Adverse effects of SNM and early birth persist between 1 and 6 years of age. Strategies to prevent early birth and reduce SNM, and to increase health monitoring of vulnerable infants throughout childhood may help reduce paediatric hospitalisations.

Angiopoietin 1 and 2 serum concentrations in first trimester of pregnancy as biomarkers of adverse pregnancy outcomes.

OBJECTIVE: To assess angiopoietin-1 (Ang-1), angiopoietin-2 (Ang-2), and the Ang-1/Ang-2 ratio levels in the first trimester of pregnancy, their association with adverse pregnancy outcomes, and their predictive accuracy. STUDY DESIGN: This cohort study measured serum Ang-1 and Ang-2 levels in 4785 women with singleton pregnancies attending first trimester screening in New South Wales, Australia. Multivariate logistic regression models were used to assess the association and predictive accuracy of serum biomarkers with subsequent adverse pregnancy outcomes (small for gestational age, preterm birth, preeclampsia, miscarriage >10 weeks, and stillbirth). RESULTS: Median (interquartile range) levels for Ang-1, Ang-2, and the Ang-1/Ang-2 ratio for the total population were 19.6 ng/mL (13.6-26.4), 15.5 ng/mL (10.3-22.7), and 1.21 (0.83-1.73), respectively. Maternal age, weight, country of birth, and socioeconomic status significantly affected Ang-1, Ang-2, and the Ang-1/Ang-2 ratio levels. After adjusting for maternal and clinical risk factors, women with low Ang-2 levels (<10th percentile) and high Ang-1/Ang-2 ratio (>90th percentile) had increased risk of developing most adverse pregnancy outcomes. Compared with the Ang-1/Ang-2 ratio alone, maternal and clinical risk factors had better predictive accuracy for most adverse pregnancy outcomes. The exception was miscarriage (Ang-1/Ang-2 ratio area under receiver operating characteristic curve = 0.70; maternal risk factors = 0.58). Overall, adding the Ang-1/Ang-2 ratio to maternal risk factors did not improve the ability of the models to predict adverse pregnancy outcomes. CONCLUSION: Our findings suggest that the Ang-1/Ang-2 ratio in first trimester is associated with most adverse pregnancy outcomes, but do not predict outcomes any better than clinical and maternal risk factor information.