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Australia's caesarean section (CS) rate has been steadily increasing for decades. In response to this, we co-designed an evidence-based, multi-pronged strategy to increase the normal birth rate in Queensland and reduce the need for CS. We conducted three workshops with a multi-stakeholder group to identify a broad range of options to reduce CS, prioritise these options, and achieve consensus on a final strategy. The strategy comprised of: universal access to midwifery continuity-of-care and choice of place of birth; multi-disciplinary normal birth education; resources to facilitate informed decision-making; respectful maternity care and positive workplace culture; and establishment of a Normal Birth Collaborative.

Aims/hypothesis The aim of this study was to determine the long-term cost-effectiveness and return on investment of implementing a structured lifestyle intervention to reduce excessive gestational weight gain and associated incidence of gestational diabetes mellitus (GDM) and type 2 diabetes mellitus. Methods A decision-analytic Markov model was used to compare the health and cost-effectiveness outcomes for (1) a structured lifestyle intervention during pregnancy to prevent GDM and subsequent type 2 diabetes; and (2) current usual antenatal care. Life table modelling was used to capture type 2 diabetes morbidity, mortality and quality-adjusted life years over a lifetime horizon for all women giving birth in Australia. Costs incorporated both healthcare and societal perspectives. The intervention effect was derived from published meta-analyses. Deterministic and probabilistic sensitivity analyses were used to capture the impact of uncertainty in the model. Results The model projected a 10% reduction in the number of women subsequently diagnosed with type 2 diabetes through implementation of the lifestyle intervention compared with current usual care. The total net incremental cost of intervention was approximately AU$70 million, and the cost savings from the reduction in costs of antenatal care for GDM, birth complications and type 2 diabetes management were approximately AU$85 million. The intervention was dominant (cost-saving) compared with usual care from a healthcare perspective, and returned AU$1.22 (95% CI 0.53, 2.13) per dollar invested. The results were robust to sensitivity analysis, and remained cost-saving or highly cost-effective in each of the scenarios explored. Conclusions/interpretation This study demonstrates significant cost savings from implementation of a structured lifestyle intervention during pregnancy, due to a reduction in adverse health outcomes for women during both the perinatal period and over their lifetime. Graphical abstract

Previous work demonstrated that implementing a quality improvement (QI) program improves the uptake of guideline-recommended antenatal magnesium sulphate, a critical intervention known to reduce cerebral palsy risk. Here we estimate potential cost savings attributable to the improved uptake. By expanding coverage from 63 to 83% of eligible women, we estimated that five children potentially would not have received a diagnosis of cerebral palsy, a potential cost saving of $AU4.8 million in lifetime healthcare costs. Our findings strengthen the case for embedding QI approaches in perinatal care to reduce the incidence of cerebral palsy.

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.

Identification of individuals with increased risk of major adverse cardiovascular events (MACE) is important. However, algorithms specific to the elderly are lacking. Data were analysed from a randomised trial involving 18,548 participants ≥ 70 years old (mean age 75.4 years), without prior cardiovascular disease events, dementia or physical disability. MACE included coronary heart disease death, fatal or nonfatal ischaemic stroke or myocardial infarction. Potential predictors tested were based on prior evidence and using a machine-learning approach. Cox regression analyses were used to calculate 5-year predicted risk, and discrimination evaluated from receiver operating characteristic curves. Calibration was also assessed, and the findings internally validated using bootstrapping. External validation was performed in 25,138 healthy, elderly individuals in the primary care environment. During median follow-up of 4.7 years, 594 MACE occurred. Predictors in the final model included age, sex, smoking, systolic blood pressure, high-density lipoprotein cholesterol (HDL-c), non-HDL-c, serum creatinine, diabetes and intake of antihypertensive agents. With variable selection based on machine-learning, age, sex and creatinine were the most important predictors. The final model resulted in an area under the curve (AUC) of 68.1 (95% confidence intervals 65.9; 70.4). The model had an AUC of 67.5 in internal and 64.2 in external validation. The model rank-ordered risk well but underestimated absolute risk in the external validation cohort. A model predicting incident MACE in healthy, elderly individuals includes well-recognised, potentially reversible risk factors and notably, renal function. Calibration would be necessary when used in other populations.

PURPOSE: With increasing rates of cancer survival due to advances in screening and treatment options, the costs of breast cancer diagnoses are attracting interest. However, limited research has explored the costs to the Australian healthcare system associated with breast cancer. We aimed to describe the cost to hospital funders for hospital episodes and emergency department (ED) presentations for Queensland women with breast cancer, and whether costs varied by demographic characteristics. METHODS: We used a linked administrative dataset, CancerCostMod, limited to all breast cancer diagnoses aged 18 years or over in Queensland between July 2011 and June 2015 (n = 13,285). Each record was linked to Queensland Health Admitted Patient Data Collection and Emergency Department Information Systems records between July 2011 and June 2018. The cost of hospital episodes and ED presentations were determined, with mean costs per patient modelled using generalised linear models with a gamma distribution and log link function. RESULTS: The total cost to the Queensland healthcare system from hospital episodes for female breast cancer was AUD$309 million and AUD$12.6 million for ED presentations during the first 3 years following diagnosis. High levels of costs and service use were identified in the first 6 months following diagnosis. Some significant differences in cost of hospital and ED episodes were identified based on demographic characteristics, with Indigenous women and those from lower socioeconomic backgrounds having higher costs. CONCLUSION: Hospitalisation costs for breast cancer in Queensland exert a high burden on the healthcare system. Costs are higher for women during the first 6 months from diagnosis and for Indigenous women, as well as those with underlying comorbidities and lower socioeconomic position.

OBJECTIVES: The purpose of this study was to identify differences in health service expenditure on Indigenous and non-Indigenous women who experience a stillbirth, women's out-of-pocket costs, and health service use. METHODS: The project used a whole-of-population linked data set called "Maternity1000," which includes all women who gave birth in Queensland, Australia, between July 1, 2012, and June 30, 2018 (n = 396 158). Multivariable analysis was undertaken to assess differences in mean health service expenditure; and number of health care services accessed between Indigenous and non-Indigenous women who had a stillbirth from birth to twelve months postpartum. Costs are presented in 2019/20 Australian dollars. RESULTS: There was a total of 1864 babies stillborn to women in Queensland between July 1, 2012, and June 30, 2018, with 135 being born to Indigenous women and 1729 born to non-Indigenous women. There was significantly lower total expenditure per woman for Indigenous women compared with non-Indigenous women ($16 083 and $18 811, respectively). This was consistent across public hospital inpatient ($12 564 compared with $14 075), outpatient ($1127 compared with $1470), community-based services ($198 compared with $313), pharmaceuticals ($8 compared with $22), private hospital ($434 compared with $1265), and for individual out-of-pocket fees ($21 compared with $86). Mean expenditure on emergency department services per woman was higher for Indigenous women compared with non-Indigenous women ($947 compared with $643). Indigenous women who experienced a stillbirth accessed fewer general practitioners, allied health, specialist, obstetrics, and outpatient services, and fewer pathology and diagnostic test than their non-Indigenous counterparts. CONCLUSIONS: Inequities in access to health services exist between Indigenous and non-Indigenous women who experience a stillbirth.

Background: Disparities in health service use exist in many sectors of Australia's health system, particularly affecting the most vulnerable people in the population, who are typically those with the greatest healthcare needs. Understanding patterns of health service coverage is critical for acknowledging the underlying, systemic drivers including racialised practices that inhibit the uptake of health services for certain population groups. This study aims to determine whether there are disparities in health service utilisation between socioeconomic, geographic and ethnic groups of mothers who experience hypertension, diabetes and mental health conditions. Methods: This study utilised a linked administrative healthcare dataset containing data of all mothers who gave birth in Queensland, Australia, between 2012 and 2015 (n = 186,789), plus their resultant babies (n = 189,909). The study compared health service utilisation for mothers with maternal health conditions between population groups. Results: The results of this study showed a broad trend of inequitable health service utilisation, with mothers who experienced the greatest healthcare needs—First Nations, rural and remote and socio-economically disadvantaged mothers—being less likely to access health services and in some cases when care was accessed, fewer services being utilised during the perinatal period. Conclusion: Access to health care during the perinatal period is a reflection of Australia's general health system strengths and weaknesses, in particular a failure of the government to translate national and state policy intent into acceptable and accessible care in rural and remote areas, for First Nations women and for mothers experiencing socio-economic disadvantage.

Background and aims: In the context of the rising rate of diabetes in pregnancy in Australia, this study aims to examine the health service and resource use associated with diabetes during pregnancy. Methods and results: This project utilised a linked administrative dataset containing health and cost data for all mothers who gave birth in Queensland, Australia between 2012 and 2015 (n = 186,789, plus their babies, n = 189,909). The association between maternal characteristics and diabetes status were compared with chi-square analyses. Multiple logistic regression produced the odds ratio of having different outcomes for women who had diabetes compared to women who did not. A two-sample t-test compared the mean number of health services accessed. Generalised linear regression produced the mean costs associated with health service use. Mothers who had diabetes during pregnancy were more likely to have their labour induced at

To quantify health service costs of intimate partner violence (IPV) during pregnancy and postpartum; and to compare health service costs between women who reported IPV, versus women who did not report IPV. This was a cohort study using linked data for a publicly funded Australian tertiary hospital maternity service. Participants included all women accessing antenatal services between August 2016 and August 2018. Routinely collected IPV data were linked to women’s admitted, non-admitted, emergency department, perinatal, and costing data from 6 months prior to reporting IPV through to 12 months post-birth. Of the 9889 women receiving maternity care, 280 (2.9%) reported some form of IPV with 72 (24.8%) referred to support. Women who reported IPV generated higher mean total costs than women not reporting IPV ($12,772 vs $10,166, respectively). Between-group differences were significant after adjusting for demographic and clinical factors (cost ratio 1.24, 95% CI: 1.15–1.34). There were no significant differences in mean total costs for babies where IPV was and was not reported ($4971 vs $5340, respectively). IPV is costly for health services. However, greater research is needed to comprehensively estimate the long-term health service costs associated with IPV. Furthermore, the limitations associated with routinely collected IPV data suggest that standardised screening practices and innovative data linkage and modelling approaches are required to collect data that truly represents the burden and costs associated with IPV.

There is an increasing need to deliver high-value health care. Here, we discuss how value should be measured and implemented in maternity care through a Learning Health System. High-value maternity care will produce the highest level of benefit for women at a given cost. As pregnancy is not an illness state, and there is no cure or remission to be achieved, we believe that patient-reported outcomes should be an integral component of benefit quantification when measuring value. Furthermore, as care impacts more than just health outcomes-particularly in maternity care-there is also a need to consider patient-reported experiences as a part of defining the level of benefit. However, to move beyond traditional narrow and passive measurement of value, we need to partner with stakeholders to identify priorities for change, identify evidence for how to achieve this change, integrate measurement activities, and promote effective implementation, in a continuous, learning cycle-a Learning Health System. A robust Framework for implementing a Learning Health System has been developed, which could be applied in maternity care.

The health conditions associated with extreme prematurity will likely require life-long treatment and management. As such, planning for the provision of healthcare services is essential in order to maximise their long-term well-being. We sought to quantify the use of healthcare services and the associated costs for extremely premature babies compared to preterm and term babies in Australia using a whole-of-population linked administrative dataset. In the first year of life, extremely premature babies had an average of 3.4 hospital admissions, and 2 emergency department presentations. They also had an average of 16 specialist attendances, 33 pathology tests and 6 diagnostic imaging tests performed. This was more than that utilised by preterm and full-term babies. The mean annual cost of hospitalisations was $182,312 for extremely premature babies in the first year and $9958 in the second year. The mean annual out-of-pocket fees for these services were $2212 and $121 in the first and second years respectively. Conclusion: Understanding the long-term healthcare needs of extremely premature babies in order to provide both an adequate number of services and also connection between services should be a central part of health system planning as the survival rates of extremely premature babies improve over time.

Perinatal mental health has pervasive impacts on the wellbeing of both the mother and child, affecting quality of life, bonding and attachment and cognitive development. The aim of this study was to (i) quantify the costs to government healthcare funders, private health insurers and individuals through out-of-pocket fees, of women with postnatal major depressive disorder (MDD); and (ii) identify any socioeconomic inequalities in health service use and costs amongst these women. A whole-of-population linked administrative dataset containing the clinical records and health service use for all births in the state of Queensland, Australia between 01 July 2012 and 30 June 2015 was used (n = 189,081). Postnatal MDD was classified according to ICD-10 code, with women hospitalised for MDD in the 12 months after birth classified as having ‘postnatal MDD’ (n = 728). Health service use and costs from birth to 12 months post-birth were included. Total costs included cost to government funders and private health insurers and out-of-pocket fees. Total costs and costs to different funders were compared for women with postnatal MDD and for women without an inpatient event for postnatal MDD, with unadjusted means presented. A generalised linear model was used to compare the difference in total costs, adjusting for key confounders. Costs to different funders and number of different services accessed were then compared for women with postnatal MDD by socioeconomic status, with unadjusted means presented. The total costs from birth to 12 months post-birth were 636% higher for women with postnatal MDD than women without an inpatient event for postnatal MDD, after accounting for differences in private hospital use, mode of birth, clinical characteristics and socioeconomic status. Amongst women with postnatal MDD, the cost of all services accessed was higher for women of highest socioeconomic status than for women of lowest socioeconomic status (A$15,787.66 vs A$11,916.94). The cost of services for women of highest socioeconomic status was higher for private health insurers (A$8941.25 vs A$2555.26), but lower for public hospital funders (A$2423.39 vs A$6582.09) relative to women of lowest socioeconomic status. Outside of public hospitals, costs to government funders was higher for women of highest socioeconomic status (A$2766.80 vs A$1952.00). Women of highest socioeconomic status accessed more inpatient (8.2 vs 3.1) and specialist services (13.4 vs 5.5) and a higher proportion had access to psychiatric specialist care (39.7% vs 13.6%) and antidepressants (97.6% vs 93.8%). MDD is costly to all funders of healthcare. Amongst women with MDD, there are large differences in the types of services accessed and costs to different funders based on socioeconomic status. There may be significant financial and structural barriers preventing equal access to care for women with postnatal MDD.

Background: Both globally and in Australia, there has been a sharp rise in cesarean births (CB). Commonly, this rise has been attributed to the changing epidemiology of women giving birth. A significant body of knowledge exists on the risk factors associated with a greater need for cesarean. Yet, we have little information on the reasons recorded by clinicians as to why cesareans are provided. This study aimed to explore the drivers of primary cesareans in Australian public hospitals. Methods: Using a linked administrative data set, the frequency and percent of mothers’ characteristics were compared between those who had a cesarean birth and those who had a vaginal birth (n = 98 967) with no history of previous cesareans in Queensland public hospitals between July 1, 2012, and June 30, 2015. The top 10 reasons recorded by clinicians for a primary cesarean were reported. Using a machine‐learning algorithm, two decision trees were built to determine factors driving primary cesarean birth. Results: “Labour and delivery complicated by fetal heart rate anomaly” (23%) and “primary inadequate contractions” (22.8%) were the top two reasons for a primary cesarean birth. The most common characteristics among mothers who had fetal heart rate anomalies were as follows: artificial rupture of membranes (39%), oxytocin (32%), no obstruction of labor (42%), and epidural (52%). For women who had primary inadequate contractions, the most common characteristics were as follows: epidural (33%), oxytocin (49%), artificial rupture of membranes (45%), and fetal stress (56%). Conclusions: Efforts should be made by health practitioners during the antenatal period to maximize the use of preventative measures that minimize the need for medical interventions.

Problem Ensuring an adequate supply of the midwife workforce will be essential to meet the future demands for maternity care within Australia. Background Aim: To project the overall number of midwives registered with the Nursing and Midwifery Board of Australia and the timing of their retirement to 2043 based upon the ageing of the population. Methods: Using data on the number of registered midwives released by the Nursing and Midwifery Board of Australia we calculated the five-year cumulative attrition rate of each five-year age group. This attrition rate was then utilized to estimate the number of midwives registered in each five-year time period from 2018 to 2043. We then estimated the number of midwives that would be registered after also accounting for stated retirement intentions. Findings Between 2018 and 2023 the overall number of registered midwives will decline from 28,087 to 26,642. After this time there is expected to be growth in the total number, reaching 28,392 in 2028 and 55,747 in 2043. If midwives did relinquish their registration at a rate indicated in previous workforce satisfaction surveys, the overall number of registered midwives would decline to 19,422 in 2023, and remain below 2018 levels until 2038. Discussion Due to the age distribution of the current registered midwifery workforce the imminent retirement of a large proportion of the workforce will see a decline in the number of registered midwives in the coming years. Additional retirement due to workforce dis-satisfaction may exacerbate this shortfall.

Aim: To examine the differences in return to work time after childbirth; the differences in income; and the differences in out of pocket health-care costs between mothers who had a preterm birth and mothers who delivered a full term baby in Australia. Methods: Using administrative data, the length of time and ‘risk’ of returning to employment for mothers whose child was born premature relative to those whose child was born full term was reported. Multivariate linear regression models were constructed to assess the difference in maternal income and the differences in mean out-of-pocket costs between mothers who had a preterm birth and mothers who had a full term birth. Results: The mean length of time for mothers of babies born full term to return to work was 1.9 years and for mothers of preterm babies it was 2.8 years. Mothers of preterm babies had a significantly lower median income ah at 0–1, 2–3 and 4–5 years postpartum compared to mothers of full term babies. The adjusted mean out of pocket costs for health care paid by mothers who had a preterm birth was $1298 for those whose child was aged 32–36 weeks; and $2491 for those whose child was aged

Background Existing studies have illustrated how the onset of physical disability or dementia negatively impacts economic wellbeing and increases out of pocket costs. However, little is known about this relationship in older individuals. Consequently, this study aimed to identify how the onset of physical disability or dementia in older adults affects economic wellbeing and out of pocket costs, and to explore the impact of gender in the context of Australia. Methods The data was collected from a large, randomized clinical study, ASPirin in Reducing Events in the Elderly (ASPREE). Two generalized linear models (with and without interaction effects) of total out of pocket costs for those who did and did not develop physical disability or dementia were generated, with adjustment for sociodemographic characteristics at baseline. Results We included 8,568 older Australian individuals with a mean age of 74.8 years and 53.2% being females. After adjustment for the baseline sociodemographic characteristics, the onset of physical disability did statistically significantly raise out of pocket costs (cost ratio = 1.25) and costs among females were 13.1% higher than males. Conclusions This study highlights that classifying different types of health conditions to identify the drivers of out of pocket costs and to explore the gender differences in a long-term follow-up is of importance to examine the financial impact on the older population. These negative financial impacts and gender disparities of physical disability and dementia must be considered by policymakers.

Objectives Servicewomen in Defence Forces the world over are constrained in their health service use by defence healthcare policy. These policies govern a woman’s ability to choose who she receives maternity care from and where. The aim of this study was to compare Australian Defence Force (ADF) servicewomen and children’s birth outcomes, health service use, and out-of-pocket costs to those of civilian women and children. Methods Retrospective cohort study using linked administrative data for women giving birth between 1 July 2012 and 30 June 2018 in Queensland, Australia (n = 365,138 births). Women serving in the ADF at the time of birth were identified as having their care funded by the Department of Defence (n = 395 births). Propensity score matching was used to identify a mixed public/private civilian sample of women to allow for comparison with servicewomen, controlling for baseline characteristics. Sensitivity analysis was also conducted using a sample of civilian women accessing only private maternity care. Findings Nearly all servicewomen gave birth in the private setting (97.22%). They had significantly greater odds of having a caesarean section (OR 1.71, 95%CI 1.29−2.30) and epidural (OR 1.56, 95%CI 1.11−2.20), and significantly lower odds of having a non-instrumental vaginal birth (OR 0.57, 95%CI 0.43−0.75) compared to women in the matched public/private civilian sample. Compared to civilian children, children born to servicewomen had significantly higher out-of-pocket costs at birth ($275.93 ± 355.82), in the first ($214.98 ± 403.45) and second ($127.75 ± 391.13) years of life, and overall up to two years of age ($618.66 ± 779.67) despite similar health service use. Conclusions ADF servicewomen have higher rates of obstetric intervention at birth and also pay significantly higher out-of-pocket costs for their children’s health service utilisation up to 2-years of age. Given the high rates of obstetric intervention, greater exploration of servicewomen’s maternity care experiences and preferences is warranted, as this may necessitate further reform to ADF maternity healthcare policy.

Background It is known that health impacts economic performance. This article aims to assess the current state of health inequality in the tropics, defined as the countries located between the Tropic of Cancer and the Tropic of Capricorn, and estimate the impact of this inequality on gross domestic product (GDP). Methods We constructed a series of concentration indices showing between-country inequalities in disability-adjusted life years (DALYs), taken from the Global Burden of Disease Study. We then utilized a non-linear least squares model to estimate the influence of health on GDP and counterfactual analysis to assess the GDP for each country had there been no between-country inequality. Results The poorest 25% of the tropical population had 68% of the all-cause DALYs burden in 2015; 82% of the communicable, maternal, neonatal and nutritional DALYs burden; 55% of the non-communicable disease DALYs burden and 61% of the injury DALYs burden. An increase in the all-cause DALYs rate of 1/1000 resulted in a 0.05% decrease in GDP. If there were no inequality between countries in all-cause DALY rates, most high-income countries would see a modest increase in GDP, with low- and middle-income countries estimated to see larger increases. Conclusions There are large and growing inequalities in health in the tropics and this has significant economic cost for lower-income countries.

Background: Reducing stillbirth rates is an international priority; however, little is known about the cost of stillbirth. This analysis sought to quantify the costs of stillbirth in Australia. Methods: Mothers and costs were identified by linking a state-based registry of all births between 2012 and 2015 to other administrative data sets. Costs from time of birth to 2 years postbirth were included. Propensity score matching was used to account for differences between women who had a stillbirth and those that did not. Macroeconomic costs were estimated using value of lost output analysis and value of lost welfare analysis. Results: Cost to government was on average $3774 more per mother who had a stillbirth compared with mothers who had a live birth. After accounting for gestation at birth, the cost of a stillbirth was 42% more than a live birth (P

Background and purpose: Although the significant morbidity and mortality burden associated with epilepsy is well understood, associated economic consequences are yet to be estimated on a global scale. We sought to: (i) estimate the value of lost economic welfare attributable to epilepsy among countries included in the 2016 Global Burden of Disease study, (ii) evaluate differences in disease burden between countries of varied income classification and location, and (iii) understand the proportion of this burden that requires neurosurgical consultation and intervention. Methods: Publicly available morbidity and mortality data were incorporated into a ‘full‐income’ model to generate estimates of the cumulative value of lost economic welfare (VLW) related to epilepsy. Results from a survey of neurosurgeons were then used to estimate the VLW attributable to the proportion of disease requiring neurosurgical consultation and intervention. Results: A total of 195 countries and territories were included in this analysis. We estimate that the cumulative VLW related to epilepsy was $647.37 billion [2016 US dollars (USD), purchasing power parity (PPP)]. Economic welfare losses were equivalent to a mean of 1.45% (±1.00%) of gross domestic product. The value of economic losses attributable to the proportion of the burden necessitating neurosurgical consultation and intervention was $258.95 billion (2016 USD, PPP) and $155.37 billion (2016 USD, PPP) respectively. Conclusions: Our results indicate that the economic consequences of epilepsy‐related morbidity and mortality are substantial. When considered with evidence supporting the cost‐effectiveness of various interventions for improved epilepsy diagnosis and management, our findings suggest that the implementation of simple and affordable measures may avert significant economic loss.

Background: Designing effective universal health care systems has challenges, including the use of patient co-payments and the role of the public and private systems. This study sought to quantify the total amount of out-of-pocket fees incurred by women who gave birth in private and public hospitals within Australia-a country with universal health coverage-and assess the impact that variation in birth type has on out-of-pocket fees. Methods: Data came from a linked administrative data set of all women who gave birth in the Australian state Queensland between July 1, 2012, and June 30, 2015, plus their resultant children. Propensity score matching was used to create two similar cohorts of women who gave birth in private and public hospitals. Results: The mean total out-of-pocket fees for care from conception to the child's first birthday was $2813 (+/- 2683 standard deviation) and $623 (+/- 1202) for women who gave birth in private and public hospitals, respectively. Total fees were higher in both public and private hospitals for women who had a cesarean birth ($716 [+/- 1419] and $3010 [+/- 2988]) than for women who had a vaginal birth without instruments ($556 [+/- 1044] and $2560 [+/- 2284]). Discussion: Australia's strong policy incentives for women to take out private health insurance are leaving women with large out-of-pocket costs. This should hold important lessons for other countries implementing a universal health care system, to ensure that using a combination of public and private practitioners does not undermine the intention of universal care.

Purpose Among Australian women, breast cancer is the most commonly diagnosed cancer. The out-of-pocket cost to the patient is substantial. This study estimates the total patient co-payments for Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) for women diagnosed with breast cancer and determined the distribution of these costs by Indigenous status, remoteness, and socioeconomic status. Methods Data on women diagnosed with breast cancer in Queensland between 01 July 2011 and 30 June 2012 were obtained from the Queensland Cancer Registry and linked with hospital and Emergency Department Admissions, and MBS and PBS records for the 3 years post-diagnosis. The data were then weighted to be representative of the Australian population. The co-payment charged for MBS services and PBS prescriptions was summed. We modelled the mean co-payment per patient during each 6-month time period for MBS services and PBS prescriptions. Results A total of 3079 women were diagnosed with breast cancer in Queensland during the 12-month study period, representing 15,335 Australian women after weighting. In the first 3 years post-diagnosis, the median co-payment for MBS services was AU$ 748 (IQR, AU$87–2121; maximum AU$32,249), and for PBS prescriptions was AU$ 835 (IQR, AU$480–1289; maximum AU$5390). There were significant differences in the co-payments for MBS services and PBS prescriptions by Indigenous status and socioeconomic disadvantage, but none for remoteness. Conclusions Women incur high patient co-payments in the first 3 years post-diagnosis. These costs vary greatly by patient. Potential costs should be discussed with women throughout their treatment, to allow women greater choice in the most appropriate care for their situation.

Background Cancer survivors are at increased risk of cardiovascular (CV) disease, partially due to cardiotoxic anti-cancer therapies and elevated CV risk factor exposure. We describe the prevalence of adverse CV events in Queensland cancer survivors. Methods The Queensland Cancer Registry (QCR) identified all Queensland residents diagnosed with cancer, July 2012-June 2015. Individuals were included at their first tumour and excluded if diagnosis basis was unknown/post-mortem. The QCR, containing demographic and clinical information, was linked to Queensland Hospital Admitted Patient Data Collection records to evaluate pre-cancer CV comorbidity and post-cancer adverse CV events. All individuals had three years follow-up time. Results 79,377 people with cancer were included. Median diagnosis age was 67 years (IQR 56-76), 44.6% were women, 5.3% had CV comorbidity and the most common cancers were prostate (19.8%), breast (17.3%), and colorectal (15.2%). 10.7% of people had an adverse CV event during follow-up; median time to first event was 362 days (IQR 124-706). Adverse CV events were most common in those aged >35 years vs ≤ 35 (11.0% vs 2%), men vs women (12.3% vs 8.7%), those with vs without CV comorbidity (29.7% vs 9.6%), and in bladder (14.7%), lung (13.1%), or colorectal (12.4%) cancer patients. Conclusions One in ten Queensland cancer patients are hospitalised for adverse CV events in the first three years after cancer diagnosis, associated with CV comorbidity, older age, male sex, and cancer type. Key messages There is urgent need for strategies to identify and deliver optimal care to cancer patients at high CV risk.

[Extract] To the Editor, We write in reply to the letter The "Cascade of interventions": Does it really exist? We thank the author for their reply to our previously published manuscript "A cascade of interventions: A classification tree analysis of the determinants of primary cesareans in Australian public hospitals". The findings of our study show that the top two reasons for primary cesareans in Queensland public hospitals— abnormal fetal heart rate and inadequate contractions— were strongly associated with artificial rupture of membranes, induction of labor, and epidural analgesia.

BackgroundDecision-makers need quantifiable data on costs and outcomes to determine the optimal mix of antenatal models of care to offer. This study aimed to examine the cost utility of a publicly funded Midwifery Group Practice (MGP) caseload model of care compared to other models of care and demonstrate the feasibility of conducting such an analysis to inform service decision-making.ObjectiveTo provide a methodological framework to determine the value of public midwifery in different settings.MethodsIncremental costs and incremental utility (health gains measured in quality-adjusted life years (QALYs)) of public MGP caseload were compared to other models of care currently offered at a large tertiary hospital in Australia. Patient Reported Outcomes Measurement Information System Global Short Form scores were converted into utility values by mapping to the EuroQol 5 dimensions and then converting to QALYs. Costs were assessed from a health system funder’s point of view.ResultsThere were 85 women in the public MGP caseload care group and 72 received other models of care. Unadjusted total mean cost for mothers’ and babies’ health service use from study entry to 12 months post-partum was $27 618 for MGP caseload care and $33 608 for other models of care. After adjusting for clinical and demographic differences between groups, total costs were 22% higher (cost ratio: 1.218, P = 0.04) for other models of maternity care. When considering costs to all funders, public MGP caseload care cost $5208 less than other models of care. There was no significant difference in QALY between the two groups (difference: 0.010, 95% CI: −0.038, 0.018).ConclusionPublic MGP caseload care costs 22% less than other models of care, after accounting for differences in baseline characteristics between groups. There were no significant differences in QALYs. Public MGP caseload care produced comparable health outcomes, with some indication that outcomes may be better for lower cost per woman.

Objective The My Baby’s Movements (MBM) trial aimed to evaluate the impact on stillbirth rates of a multifaceted awareness package (MBM intervention). Design Stepped-wedge cluster-randomised controlled trial. Setting Twenty-seven maternity hospitals in Australia and New Zealand. Population Women with a singleton pregnancy without major fetal anomaly ≥28 weeks’ gestation from August 2016-May 2019. Methods The MBM intervention was implemented at randomly assigned time points with sequential introduction into 8 clusters of 3-5 hospitals at four-monthly intervals. The stillbirth rate was compared in the control and intervention periods. Generalised linear mixed models controlled for calendar time, clustering, and hospital effects. Outcome Measures Stillbirth at ≥28 weeks’ gestation. Results There were 304,853 births with 290,219 meeting inclusion criteria: 150,079 in control and 140,140 in intervention periods. The stillbirth rate during the intervention was lower than the control period (2.2/1000 births versus 2.4, odds ratio [OR] 0.91, 95% Confidence Intervals [CI] 0.78-1.06, p=0.22). The decrease was larger across calendar time with 2.7/1000 in the first 18 months versus 2.0/1000 in the last 18 months (OR 0.74; 95% CI 0.63-0.86; p≤0.01). Following adjustment, stillbirth rates between the control and intervention periods were not significantly different: (aOR 1.18, 95% CI 0.93-1.50; p=0.18). No increase in secondary outcomes, including obstetric intervention or adverse neonatal outcome, was evident. Conclusion The MBM intervention did not reduce stillbirths beyond the downward trend over time, suggesting hospitals may have implemented best practice in DFM management outside their randomisation schedule. The role of interventions for raising awareness of DFM remains unclear

Perinatal mental health has pervasive impacts on the wellbeing of both the mother and child, affecting quality of life, bonding and attachment and cognitive development.The aim of this study was to (i) quantify the costs to government healthcare funders, private health insurers and individuals through out-of-pocket fees, of women with postnatal major depressive disorder (MDD); and (ii) identify any socioeconomic inequalities in health service use and costs amongst these women.A whole-of-population linked administrative dataset containing the clinical records and health service use for all births in the state of Queensland, Australia between 01 July 2012 and 30 June 2015 was used (n = 189,081). Postnatal MDD was classified according to ICD-10 code, with women hospitalised for MDD in the 12 months after birth classified as having 'postnatal MDD' (n = 728). Health service use and costs from birth to 12 months post-birth were included. Total costs included cost to government funders and private health insurers and out-of-pocket fees. Total costs and costs to different funders were compared for women with postnatal MDD and for women without an inpatient event for postnatal MDD, with unadjusted means presented. A generalised linear model was used to compare the difference in total costs, adjusting for key confounders. Costs to different funders and number of different services accessed were then compared for women with postnatal MDD by socioeconomic status, with unadjusted means presented.The total costs from birth to 12 months post-birth were 636% higher for women with postnatal MDD than women without an inpatient event for postnatal MDD, after accounting for differences in private hospital use, mode of birth, clinical characteristics and socioeconomic status. Amongst women with postnatal MDD, the cost of all services accessed was higher for women of highest socioeconomic status than for women of lowest socioeconomic status (A$15,787.66 vs A$11,916.94). The cost of services for women of highest socioeconomic status was higher for private health insurers (A$8941.25 vs A$2555.26), but lower for public hospital funders (A$2423.39 vs A$6582.09) relative to women of lowest socioeconomic status. Outside of public hospitals, costs to government funders was higher for women of highest socioeconomic status (A$2766.80 vs A$1952.00). Women of highest socioeconomic status accessed more inpatient (8.2 vs 3.1) and specialist services (13.4 vs 5.5) and a higher proportion had access to psychiatric specialist care (39.7% vs 13.6%) and antidepressants (97.6% vs 93.8%).MDD is costly to all funders of healthcare. Amongst women with MDD, there are large differences in the types of services accessed and costs to different funders based on socioeconomic status. There may be significant financial and structural barriers preventing equal access to care for women with postnatal MDD.

Background: Being born into a vulnerable family (at risk of becoming or remaining poor) is a significant risk factor for childhood poverty, impairing a child’s start to life and perpetuating intergenerational cycles of poverty. This study sought to understand equity in Australian children’s access to health services by quantifying health service utilisation, costs and funding distribution amongst children born into vulnerable compared to non-vulnerable families. Methods: This study used a large linked administrative dataset for all women giving birth in Queensland, Australia between July 2012 and July 2018. Health service use included inpatient, Emergency Department (ED), General Practice (GP), specialist, pathology and diagnostic imaging services. Costs included those paid by public hospital funders, private health insurers, Medicare and out-of-pocket costs. Findings: Vulnerable children comprised 34.1% of the study cohort. Compared to non-vulnerable children, they accessed significantly higher average numbers of inpatient (0·83±2·06 vs 0·80±2·01) and ED (2·52±3·63 vs 1·97±2·77) services during the first five years of life, and significantly lower average numbers of GP, specialist, pathology, and diagnostic imaging services. Vulnerable children incurred significantly greater costs to public hospital funders compared to non-vulnerable children over the first five years of life ($8,274 vs $7,063), and significantly lower private health insurer, Medicare and out-of-pocket costs. Interpretation: There are clear inequities in vulnerable children’s access to health services in Australia. Greater examination of the uptake and cost-effectiveness of maternal and child services is needed, as these services support children’s development in the critical first 1,000 days of life. Funding: None to declare. Declaration of Interest: None to declare. Ethical Approval: This study received ethical approval from the Townsville Hospital and Health Services Human Research Ethics Committee (HREC) (HREC/16/QTHS/223), and the Australian Institute of Health and Welfare HREC (EO2017-1-338). Public Health Act approval was also obtained (RD007377).

The health conditions associated with extreme prematurity will likely require life-long treatment and management. As such, planning for the provision of healthcare services is essential in order to maximise their long-term well-being. We sought to quantify the use of healthcare services and the associated costs for extremely premature babies compared to preterm and term babies in Australia using a whole-of-population linked administrative dataset. In the first year of life, extremely premature babies had an average of 3.4 hospital admissions, and 2 emergency department presentations. They also had an average of 16 specialist attendances, 33 pathology tests and 6 diagnostic imaging tests performed. This was more than that utilised by preterm and full-term babies. The mean annual cost of hospitalisations was $182,312 for extremely premature babies in the first year and $9958 in the second year. The mean annual out-of-pocket fees for these services were $2212 and $121 in the first and second years respectively.Conclusion: Understanding the long-term healthcare needs of extremely premature babies in order to provide both an adequate number of services and also connection between services should be a central part of health system planning as the survival rates of extremely premature babies improve over time. What is Known: • The health service use of extremely premature babies is higher at the time of birth. • Health conditions and disabilities associated with extreme prematurity require life-long care. What is New: • Extremely premature babies have more diverse and frequent access to services than premature and term babies until at least age 2. • This comes at higher cost to families through out-of-pocket payments.

BackgroundAgeing populations, more expensive technology, growing rates of chronic disease and increasing consumer expectations are expected to lead to increased demand for health services and a rise in health expenditure within Australia. Productivity and efficiency analysis of Australia’s health system could provide valuable insight into the performance of the health system and assist stakeholders to reduce unnecessary growth in public hospital expenditure. This review describes efficiency and productivity analyses of hospitals in Australia, Canada and the United Kingdom. Methods We conducted a systematic literature review of efficiency and productivity analyses of hospitals in Australia, Canada and the United Kingdom. The search was conducted in two stages; (1) a search of the grey literature using a Google search engine; and (2) a traditional systematic review method search of academic databases. It is uncommon for grey literature to have abstracts, therefore, executive summaries, table of contents or subheadings were screened. Titles and Abstracts of journal articles were screened. DiscussionWithin Australia and key comparator nations, the number of efficiency and analysis studies is small. There is no clear consensus on the most suitable analysis technique to measure efficiency and productivity of hospitals. However, selection of inputs is similar across all studies identified in this review, consisting of measures of labour (most commonly relating to full time equivalent employees), goods and services (e.g. purchased consumables, such as drugs), and capital. Similarly, the majority of studies struggled to identify output measures that could capture improvements in patient outcomes, a key performance measure for any hospital. Instead, most studies utilised proxy measures relating to hospital throughputs (number of separations) or population health measurements. Of note, only one study demonstrated active engagement with the health sector in study development. Conclusion There is considerable scope for the further development of efficiency and productivity analysis techniques that can adequately capture relevant production factors, allow for robust comparisons across hospitals and time periods and which meaningfully engage with the health sector to inform improvements in efficiency and productivity.

Introduction Breast cancer is the most commonly diagnosed cancer in Australian women. Given the diverse geography and populations within Australia, the ability to offer a telemedicine-supported breast screening and assessment service may increase access. The aim of this study was to assess clinical outcomes of a telemedicine-based remote radiology assessment service delivery model for detecting breast cancer in regional Australian women compared to the traditional radiologist onsite model. Methods This study was a pre–post intervention study using de-identified administrative data. Data were collected from seven sites across three health jurisdictions within Australia. There were a total of 21,117 assessment visits, with 10,508 (49.8%) pre- and 10,609 (50.2%) post-remote model implementation. Of the 10,609 post-remote model visits, 3,904 (36.8%) were under the remote model. The main outcome was cancer detection, split into any cancer, any invasive cancer or any small invasive cancer. Timeliness of assessment was also examined. Results After adjusting for multiple factors, there were no statistically significant differences in cancer detection rates between the remote and onsite models (adjusted odds ratio (AOR) = 1.02, 95% CI 0.86–1.19, n.s.). Implementing the remote assessment model had statistically significant positive effects on the timeliness of assessment (AOR = 0.68, 95% CI 0.59–0.77, p Discussion This study found the remote model delivers safe and high-quality assessment services, with equivalent rates of cancer detection and improved timeliness of assessment when compared to the traditional onsite model. Careful monitoring and ongoing evaluation of any health-service model is important for ongoing safety, efficiency and acceptability.

To quantify health service costs of intimate partner violence (IPV) during pregnancy and postpartum; and to compare health service costs between women who reported IPV, versus women who did not report IPV. This was a cohort study using linked data for a publicly funded Australian tertiary hospital maternity service. Participants included all women accessing antenatal services between August 2016 and August 2018. Routinely collected IPV data were linked to women's admitted, non-admitted, emergency department, perinatal, and costing data from 6 months prior to reporting IPV through to 12 months post-birth. Of the 9889 women receiving maternity care, 280 (2.9%) reported some form of IPV with 72 (24.8%) referred to support. Women who reported IPV generated higher mean total costs than women not reporting IPV ($12,772 vs $10,166, respectively). Between-group differences were significant after adjusting for demographic and clinical factors (cost ratio 1.24, 95% CI: 1.15-1.34). There were no significant differences in mean total costs for babies where IPV was and was not reported ($4971 vs $5340, respectively). IPV is costly for health services. However, greater research is needed to comprehensively estimate the long-term health service costs associated with IPV. Furthermore, the limitations associated with routinely collected IPV data suggest that standardised screening practices and innovative data linkage and modelling approaches are required to collect data that truly represents the burden and costs associated with IPV.

Background COVID‐19 caused significant disruptions to health systems globally; however, restricting the family presence during birth saw an increase in women considering community birth options. This study aimed to quantify the hospital resource savings that could occur if all low‐risk women in Australia gave birth at home or in birth centers. Methods A whole‐of‐population linked administrative data set containing all women (n = 44 498) who gave birth in Queensland, Australia, between 01/07/2012 and 30/06/2015 was reweighted to represent all Australian women giving birth in 2017. A static microsimulation model of woman and infant health service resource use was created based on 2017 data. The model was comprised of a base model, representing "current" care, and a counterfactual model, representing hypothetical scenarios where all low‐risk Australian women gave birth at home or in birth centers. Results If all low‐risk women gave birth at home in 2017, cesarean rates would have reduced from 13.4% to 2.7%. Similarly, there would have been 860 fewer inpatient bed days and 10.1 fewer hours of women's intensive care unit time per 1000 births. If all women gave birth in birth centers, cesarean rates would have reduced to 6.7%. In addition, over 760 inpatient bed days would have been saved along with 5.6 hours of women's intensive care unit time per 1000 births. Conclusions Significant health resource savings could occur by shifting low‐risk births from hospitals to home birth and birth center services. Greater examination of Australian women's preferences for home birth and birth center birth models of care is needed.

Stillbirth is a major public health problem with an enormous mortality burden and psychosocial impact on parents, families and the wider community both globally and in Australia. In 2015, Australia's late gestation stillbirth rate was over 30% higher than that of the best-performing countries globally, highlighting the urgent need for action. We present an overview of the foundations which led to the establishment of Australia's NHMRC Centre of Research Excellence in Stillbirth (Stillbirth CRE) in 2017 and highlight key activities in the following areas: Opportunities to expand and improve collaborations between research teams; Supporting the conduct and development of innovative, high quality, collaborative research that incorporates a strong parent voice; Promoting effective translation of research into health policy and/or practice; and the Regional and global work of the Stillbirth CRE. We highlight the first-ever Senate Inquiry into Stillbirth in Australia in 2018. These events ultimately led to the development of a National Stillbirth Action and Implementation Plan for Australia with the aims of reducing stillbirth rates by 20% over the next five years, reducing the disparity in stillbirth rates between advantaged and disadvantaged communities, and improving care for all families who experience this loss.

Purpose: To examine factors associated with unmet need for mental health services and links with barriers to access to care more broadly. Methodology: The Commonwealth Fund International Health Policy Surveys from 2013 and 2016 were used to explore factors associated with unmet need for adults who experienced emotional distress for 1320 respondents in Australia and 2284 in Canada. Findings: Over one in five adults in Australia (21%) and in Canada (25%) experienced emotional distress, just over half said they received professional help (51% in Australia, 59% in Canada). The majority of those who did not get help indicated did not want to see a professional (37% in Australia, 30% in Canada). For those who did seek help, the factors associated with not receiving care included lower income, higher out‐of‐pocket health care costs, and poorer health. When compared with people with met needs, those with unmet needs for mental health services were more likely to also experience affordability, medication, and trust‐related access barriers (AOR range 2.41 to 7.49 for the two countries, P < 0.01). Conclusion: Including unmet needs for mental health services as part of regular reporting on access to care may bring attention to access barriers for people with mental health conditions.

Objectives: There has been an increasing use of the Emergency Department for non-urgent presentations. The aim of this systematic review was to identify the proportion, criteria and predictors of non-urgent Emergency Department presentations in paediatric populations. Methods: A search of multiple databases was conducted for articles published from inception of the databases to 20 August 2018, which reported the proportion, criteria and predictors of non-urgent Emergency Department presentation in paediatric populations. Results: Thirty-one articles met the inclusion criteria. The mean proportion of non-urgent paediatric Emergency Department presentation was 41.06 ± 15.16%. There appears to be a weak association between predisposing, enabling and needs factors and non-urgent Emergency Department use in paediatric populations. Conclusion: The findings of this review suggest that non-urgent Emergency Department use in paediatric populations was high. However, non-urgent Emergency Department use and the reasons for the visits in paediatric populations remain understudied.

Currently, the diagnosis of congenital cytomegalovirus (cCMV) infection in most highly resourced countries is based on clinical suspicion alone. This means only a small proportion of cCMV infections are diagnosed. Identification, through either universal or targeted screening of asymptomatic newborns with cCMV, who would previously have gone undiagnosed, would allow for potential early treatment with antiviral therapy, ongoing audiological surveillance and early intervention if sensorineural hearing loss (SNHL) is identified. This paper systematically reviews published papers examining the potential benefits of targeted and universal screening for newborn infants with cCMV. We found that the treatment of these infants with antiviral therapy remains controversial, and clinical trials are currently underway to provide further answers. The potential benefit of earlier identification and intervention (eg, amplification and speech therapy) of children at risk of later-onset SNHL identified through universal screening is, however, clearer.

IntroductionChildren born into families at risk of becoming or remaining poor are at significant risk of experiencing childhood poverty, which can impair their start to life, and perpetuate intergenerational cycles of poverty. This study sought to quantify health service utilisation, costs and funding distribution amongst children born into vulnerable compared to non-vulnerable families.MethodsThis study used a large linked administrative dataset for all women giving birth in Queensland, Australia between July 2012 and July 2018. Health service use included inpatient, emergency department (ED), general practice, specialist, pathology and diagnostic imaging services. Costs included those paid by public hospital funders, private health insurers, Medicare and out-of-pocket costs.ResultsVulnerable children comprised 34.1% of the study cohort. Compared with non-vulnerable children, they used significantly higher average numbers of ED services during the first 5 years of life (2.52±3.63 vs 1.97±2.77), and significantly lower average numbers of specialist, pathology and diagnostic imaging services. Vulnerable children incurred significantly greater costs to public hospital funders compared with non-vulnerable children over the first 5 years of life ($16 053 vs $10 247), and significantly lower private health insurer, Medicare and out-of-pocket costs.ConclusionThere are clear inequities in vulnerable children’s health service utilisation in Australia. Greater examination of the uptake and cost-effectiveness of maternal and child services is needed, as these services support children’s development in the critical first 1000 days of life.

The Meat & Livestock Australia, Rural Industries Research & Development Corporation and Rural Research & Development for Profit Programme of the Australian Government (Department of Agriculture and Water Resources).

Recent health reforms alongside unregulated provider fees have led to increased attention being given to out-of-pocket healthcare costs. This study utilised annual statistics published by the Department of Health for services provided under the Medicare Benefits Schedule (MBS) from 1992/3 to 2016/17 to identify changes in out-of-pocket charges for obstetric items over time, and estimate the change in demand for obstetric items in response to price increases. Since 1992/3 out-of-pocket charges increased by 1035% for out-of-hospital items and 77% for in-hospital items. Demand for obstetric items has reduced with increasing charges.

Critically appraised topics (CATs) are essential tools for busy clinicians who wish to ensure that their daily clinical practice is underpinned by evidence-based medicine. CATs are short summaries of the most up-to-date, high-quality available evidence that is found using thorough structured methods. They can be used to answer specific, patient-orientated questions that arise recurrently in real-life practice. This article provides readers with a detailed guide to performing their own CATs. It is split into four main sections reflecting the four main steps involved in performing a CAT: formulation of a focused question, a search for the most relevant and highest-quality evidence, critical appraisal of the evidence and application of the results back to the patient scenario. As well as helping to improve patient care on an individual basis by answering specific clinical questions that arise, CATs can help spread and share knowledge with colleagues on an international level through publication in the evidence-based dermatology section of the British Journal of Dermatology.

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

Objective The aim of this study was to report on the rates of obstetric interventions within each hospital jurisdiction in the state of Queensland, Australia. Methods This project used a whole-of-population linked dataset that included the health and cost data of all mothers who gave birth in Queensland, Australia, between 2012 and 2015 (n = 186 789), plus their babies (n = 189 909). Adjusted and unadjusted rates of obstetric interventions and non-instrumental vaginal delivery were reported within each hospital jurisdiction in Queensland. Results High rates of obstetric intervention exist in both the private and public sectors, with higher rates demonstrated in the private than public sector. Within the public sector, there is substantial variation in rates of intervention between hospital and health service jurisdictions after adjusting for confounding variables that influence the need for obstetric intervention. Conclusions Due to the high rates of obstetric interventions statewide, a deeper understanding is needed of what factors may be driving these high rates at the health service level, with a focus on the clinical necessity of the provision of Caesarean sections. What is known about the topic? Variation in clinical practice exists in many health disciplines, including obstetric care. Variation in obstetric practice exists between subpopulation groups and between states and territories in Australia. What does this paper add? What we know from this microlevel analysis of obstetric intervention provision within the Australian population is that the provision of obstetric intervention varies substantially between public sector hospital and health services and that this variation is not wholly attributable to clinical or demographic factors of mothers. What are the implications for practitioners? Individual health service providers need to examine the factors that may be driving high rates of Caesarean sections within their institution, with a focus on the clinical necessity of Caesarean section.

In Australia, Hypertensive Disorders of Pregnancy are one of the leading causes of maternal death. Additionally, mothers and babies can experience significant morbidity associated with Hypertensive Disorders of Pregnancy. Currently, there is little understanding about the resources spent on this pregnancy complication in Australia. Therefore, using a linked administrative dataset from the Queensland population in Australia, this study aims to determine the difference in government expenditure between mothers that have Hypertensive Disorders of Pregnancy and mothers who do not. The total government expenditure on mothers that had HDP was significantly higher than in mothers who did not have HDP ($14,388 and $11,395 respectively). Most notably, the greatest difference in costs were experienced during the time of birth ($8696 and $6509).

Background There is global concern for the overuse of obstetric interventions during labour and birth. Of particular concern is the increasing amount of mothers and babies experiencing morbidity and mortality associated with caesarean section compared to vaginal birth. In high-income settings, emerging evidence suggests that overuse of obstetric intervention is more prevalent among wealthier mothers with no medical need of it. In Australia, the rates of caesarean section and other obstetric interventions are rising. These rising rates of intervention have been mirrored by a decreasing rate of unassisted non-instrumental vaginal deliveries. In the context of rising global concern about rising caesarean section rates and the known health effects of caesarean section on mothers and children, we aim to better characterise the use of obstetric intervention in the state of Queensland, Australia by examining the characteristics of mothers receiving obstetric intervention. Identifying whether there is overuse of obstetric interventions within a population is critical to improving the quality, value and appropriateness of maternity care. Methods The association between demographic characteristics (at birth) and birth delivery type were compared with chi-square. The percentage of mothers based on their socioeconomic characteristics were reported and differences in percentages of obstetric interventions were compared. Multivariate analysis was undertaken using multiple logistic regression to assess the likelihood of receiving obstetric intervention and having a vaginal (non-instrumental) delivery after accounting for key clinical characteristics. Results Indigenous mothers, mothers in major cities and mothers in the wealthiest quintile all had higher percentages of all obstetric interventions and had the lowest percentages of unassisted (non-instrumental) vaginal births. These differences remained even after adjusting for other key sociodemographic and clinical characteristics. Conclusions Differences in obstetric practice exist between economic, ethnic and geographical groups of mothers that are not attributable to medical or lifestyle risk factors. These differences may reflect health system, organisational and structural conditions and therefore, a better understanding of the non-clinical factors that influence the supply and demand of obstetric interventions is required.

Background Clinical interventions known to reduce the risk of caesarean delivery include routine induction of labour at 39 weeks, caseload midwifery and chart audit, but they have not been compared for cost-effectiveness. Objective To assesses the cost-effectiveness of three different interventions known to reduce caesarean delivery rates compared to standard care; and conduct a budget impact analysis. Methods A Markov microsimulation model was constructed to compare the costs and outcomes produced by the different interventions. Costs included all costs to the health system, and outcomes were quality-adjusted life years (QALY) gained. A budget impact analysis was undertaken using this model to quantify the costs (in Australian dollars) over three years for government health system funders. Results All interventions, plus standard care, produced similar health outcomes (mean of 1.84 QALYs gained over 105 weeks). Caseload midwifery was the lowest cost option at $15 587 (95% confidence interval [CI] 15 269, 15 905), followed by routine induction of labour ($16 257, 95% CI 15 989, 16 536), and chart audit ($16 325, 95% CI 15 979, 16 671). All produced lower costs on average than standard care ($16 905, 95% CI 16 551, 17 259). Caseload midwifery would produce the greatest savings of $172.6 million over three years if implemented for all low-risk nulliparous women in Australia. Conclusions Caseload midwifery presents the best value for reducing caesarean delivery rates of the options considered. Routine induction of labour at 39 weeks and chart audit would also reduce costs compared to standard care.