Comparative analysis of injury identification using KABCO and ISS in linked North Carolina trauma registry and crash data.

OBJECTIVE: The purpose of this study was to examine differences between police-reported injury severity and trauma registry data among persons with linked records in North Carolina and quantify the degree of alignment. METHODS: We analyzed linked North Carolina trauma registry and motor vehicle crash data from 2018. Injury severity identification was assessed using police-reported 5-point scale KABCO from crash data and Injury Severity Score (ISS) from trauma records. The analysis was stratified by age, sex/gender, race, ethnicity, and road users type to examine differences across groups. We calculated sensitivity, specificity, positive predictive values, and negative predictive values between police-reported injury severity and trauma registry data using ISS as the gold standard. RESULTS: A higher proportion of patients were classified as suspected minor injuries (39.0%) compared to moderate injuries in trauma registry (25.1%). Police-reported crash data underreported injury severity when compared to trauma registry data. Police-reported KABCO had a higher degree of specificity when classifying minor injuries (79.3%) but substantially underestimated seriously injured patients, with a sensitivity of 49.9%. These findings were also consistent when stratified by subpopulations. CONCLUSION: Hospital-based motor vehicle crash data are a main source of injury severity identification for road safety. Police-reported data were relatively accurate for minor injuries but not seriously injured patients. Understanding the characteristics of each data source both separately and linked will be critical for problem identification and program development to move toward a safe transportation system for all road users.

Risk of agranulocytosis with metamizole in comparison with alternative medications based on health records in Spain.

PURPOSE: We aimed to estimate the absolute (incidence) and relative (hazard ratio; HR) risk of agranulocytosis associated with metamizole in comparison with non-steroidal antiinflammatory drugs (NSAIDs). METHODS: A cohort study of new users of metamizole versus NSAIDs was performed with BIFAP (Pharmacoepidemiologic Research Database in Public Health Systems; Spain). Patients aged ≥ 2 years in 2005-2022 were followed up from the day after their first metamizole or NSAID dispensation till the end of the treatment period to identify patients hospitalized due to idiosyncratic agranulocytosis. Incidence rate (IR) and adjusted HR of agranulocytosis with metamizole versus NSAID were estimated assuming the onset date of agranulocytosis was the date of hospitalization sensitivity analysis or 7 days before (main analysis). In secondary analyses, we used (1) opioids-paracetamol as negative control and (2) any hospitalized neutropenia as outcome (assuming the onset was 7 days before). RESULTS: The cohorts included 444,972 new users of metamizole, 3,814,367 NSAID, and 3,129,221 opioids-paracetamol on continuous treatment during a median of 37-40 days. Overall, 26 hospitalized agranulocytosis occurred, 5 in the first week (and so removed in main analysis) and 21 thereafter. IR of agranulocytosis was 14.20 (N = 5 cases) and 8.52 (N = 3), 1.95 (N = 6) and 1.62 (N = 5), and 4.29 (N = 15) and 3.72 (N = 13)/107 person-weeks of continuous treatment using the date of hospitalization or 7 days before, respectively. Two, 0 and 2 of cases identified in both analyses had neoplasia in every cohort, respectively. HR of agranulocytosis associated with metamizole was 7.20 [95% CI: 1.92-26.99] and 4.40 [0.90-21.57] versus NSAID, and 3.31 [1.17-9.34] and 2.45 [0.68-8.83] versus opioid-paracetamol, respectively. HR of neutropenia with metamizole was 2.98 [1.57-5.65] versus NSAID. CONCLUSIONS: Agranulocytosis was very rare but more common (above 4 times more) with metamizole than other analgesics. The impact of the drug-induced agranulocytosis was less precise with metamizole than the comparators due to its lower use, which precluded to find statistical differences in main analysis. The increased risk of hospitalized neutropenias with metamizole supports the link with its severity although triggers unavailable during the follow-up (ex. cytotoxic medication) can not be discarded.

Evaluating FAIR Digital Object and Linked Data as distributed object systems.

FAIR Digital Object (FDO) is an emerging concept that is highlighted by European Open Science Cloud (EOSC) as a potential candidate for building an ecosystem of machine-actionable research outputs. In this work we systematically evaluate FDO and its implementations as a global distributed object system, by using five different conceptual frameworks that cover interoperability, middleware, FAIR principles, EOSC requirements and FDO guidelines themself. We compare the FDO approach with established Linked Data practices and the existing Web architecture, and provide a brief history of the Semantic Web while discussing why these technologies may have been difficult to adopt for FDO purposes. We conclude with recommendations for both Linked Data and FDO communities to further their adaptation and alignment.

Avoiding double counting: the effect of bundling hospital events in administrative datasets for the interpretation of rural-urban differences in Aotearoa New Zealand.

BACKGROUND AND OBJECTIVES: All publicly funded hospital discharges in Aotearoa New Zealand are recorded in the National Minimum Dataset (NMDS). Movement of patients between hospitals (and occasionally within the same hospital) results in separate records (discharge events) within the NMDS and if these consecutive health records are not accounted for hospitalization (encounters) rates might be overestimated. The aim of this study was to determine the impact of four different methods to bundle multiple discharge events in the NMDS into encounters on the relative comparison of rural and urban Ambulatory Sensitive Hospitalization (ASH) rates. METHODS: NMDS discharge events with an admission date between July 1, 2015, and December 31, 2019, were bundled into encounters using either using a) no method, b) an "admission flag", c) a "discharge flag", or d) a date-based method. ASH incidence rate ratios (IRRs), the mean total length of stay and the percentage of interhospital transfers were estimated for each bundling method. These outcomes were compared across 4 categories of the Geographic Classification for Health. RESULTS: Compared with no bundling, using the date-based method resulted in an 8.3% reduction (150 less hospitalizations per 100,000 person years) in the estimated incidence rate for ASH in the most rural (R2-3) regions. There was no difference in the interpretation of the rural-urban IRR for any bundling methodology. Length of stay was longer for all bundling methods used. For patients that live in the most rural regions, using a date-based method identified up to twice as many interhospital transfers (5.7% vs 12.4%) compared to using admission flags. CONCLUSION: Consecutive events within hospital discharge datasets should be bundled into encounters to estimate incidence. This reduces the overestimation of incidence rates and the undercounting of interhospital transfers and total length of stay.

Exposure to maternal cannabis use disorder and risk of autism spectrum disorder in offspring: A data linkage cohort study.

This study aimed to investigate the association between pre-pregnancy, prenatal and perinatal exposures to cannabis use disorder (CUD) and the risk of autism spectrum disoder (ASD) in offspring. Data were drawn from the New South Wales (NSW) Perinatal Data Collection (PDC), population-based, linked administrative health data encompassing all-live birth cohort from January 2003 to December 2005. This study involved 222 534 mother-offspring pairs. . The exposure variable (CUD) and the outcome of interest (ASD) were identified using the 10th international disease classification criteria, Australian Modified (ICD-10-AM). We found a three-fold increased risk of ASD in the offspring of mothers with maternal CUD compared to non-exposed offspring. In our sensitivity analyses, male offspring have a higher risk of ASD associated with maternal CUD than their female counterparts. In conclusion, exposure to maternal CUD is linked to a higher risk of ASD in offspring, with a stronger risk in male offspring. Further research is needed to understand these gender-specific effects and the relationship between maternal CUD and ASD risk in children.

Associations between child maltreatment and hospital admissions for alcohol and other substance use-related disorders up to 40 years of age: Results from the Childhood Adversity and Lifetime Morbidity study.

BACKGROUND AND AIMS: Evidence on the associations between child maltreatment (CM), alcohol use disorders (AUDs) and other substance use disorders (SUDs) comes largely from retrospective studies. These rely on self-reported data, which may be impacted by recall bias. Using prospective CM reports to statutory agencies, we measured associations between CM notifications and inpatient admissions for AUDs and SUDs up to 40 years of age. DESIGN, SETTING AND PARTICIPANTS: Observational study linking administrative health data from Queensland, Australia to prospective birth cohort data comprising both agency-reported and substantiated notifications of CM. MEASUREMENTS: Outcomes were inpatient admissions for AUDs and SUDs based on ICD-10-Australian modification (AM)-coded primary diagnoses. Unadjusted and adjusted logistic regression analyses were undertaken. FINDINGS: Ten per cent (n = 609) of the cohort had a history of agency-reported or substantiated CM notifications before age 15. These individuals had higher adjusted odds of being admitted for AUDs and SUDs. For AUDs, the adjusted odds of inpatient admission were 2.86 [95% confidence interval (CI) = 1.73-4.74] greater where there was any previous agency-reported CM and 3.38 (95% CI = 1.94-5.89) greater where there was any previous substantiated CM. For SUDs, the adjusted odds of inpatient admission were 3.34 (95% CI = 2.42-4.61) greater where there was any previous agency-reported CM and 2.98 (95% CI = 2.04-4.36) greater where there was any previous substantiated CM. CONCLUSIONS: People with a history of child maltreatment appear to have significantly higher odds of inpatient admissions for alcohol use disorders and other substance use disorders up to 40 years of age compared to people with no history of child maltreatment.

Availability and readiness of healthcare facilities and their effects on antenatal care services uptake in Bangladesh.

BACKGROUND: Sustainable Development Goal (SDG) 3.7 aims to ensure universal access to sexual and reproductive healthcare services, where antenatal care (ANC) is a core component. This study aimed to examine the influence of health facility availability and readiness on the uptake of four or more ANC visits in Bangladesh. METHODS: The 2017/18 Bangladesh Demographic and Health Survey data were linked with the 2017 Health Facility Survey and analyzed in this study. The associations of health facility-level factors with the recommended number of ANC uptakes were determined. A multilevel mixed-effect logistic regression model was used to determine the association, adjusting for potential confounders. RESULTS: Nearly 44% of mothers reported four or more ANC uptakes, with significant variations across several areas in Bangladesh. The average distance of mothers' homes from the nearest health facilities was 6.36 km, higher in Sylhet division (8.25 km) and lower in Dhaka division (4.45 km). The overall uptake of the recommended number of ANC visits was positively associated with higher scores for the management (adjusted odds ratio (aOR) 1.85; 95% CI, 1.16-2.82) and infrastructure (aOR, 1.59; 95% CI, 1.09-2.19) of health facilities closest to mothers' homes. The odds of using the recommended number of ANC in mothers increased by 3.02 (95% CI, 2.01-4.19) and 2.36 (95% CI, 2.09-3.16) folds for each unit increase in the availability and readiness scores to provide ANC services at the closest health facilities, respectively. Every kilometer increase in the average regional-level distance between mothers' homes and the nearest health facilities reduced the likelihood of receiving the recommended number of ANC visits by nearly 42% (aOR, 0.58, 95% CI, 0.42-0.74). CONCLUSION: The availability of healthcare facilities close to residence, as well as their improved management, infrastructure, and readiness to provide ANC, plays a crucial role in increasing ANC services uptake. Policies and programs should prioritize increasing the availability, accessibility, and readiness of health facilities to provide ANC services.

The increasing health burden of Legionella Pneumophila in NSW.

BACKGROUND: Legionella pneumophila can cause severe respiratory disease and is notifiable in NSW. An analysis of notifications linked to hospitalisation and death data over the period 2010-2022 was conducted to determine the burden of disease and any association with the introduction of NSW regulatory changes in 2018. METHODS: Cases were retrospectively identified from the Notifiable Conditions Records for Epidemiology and Surveillance (NCRES). Data on related morbidity and mortality were obtained from linked data within the NSW Communicable Disease Register (CDR). The impact of the regulatory change was evaluated by analysing monthly count data using an interrupted time series analysis. RESULTS: A total of 928 cases were notified with 84% admitted to hospital. Annual adjusted notification and admission rates increased over the period from 4.40 to 7.92 cases and 3.72 to 7.20 admissions, per 1,000,000 population, respectively. The mean length of hospital stay (LOS) was 14 days with a median of 8 days (range 1-262 days). Time series analysis identified an underlying increasing time trend in cases notified per month with an IRR of 1.069 (95% ci 0.751-1.523) post 2018 regulatory implementation. CONCLUSION: L. pneumophila is posing an increasing burden of disease with an underlying upward trend in notification incidence despite the introduction of regulatory changes in 2018. IMPLICATION FOR PUBLIC HEALTH PRACTICE: This study demonstrates how linking notification, hospitalisation and death data can measure the health burden of a notifiable condition. Furthermore, time-series analysis using these data is able to identify underlying temporal trends and evaluate policy changes.

Costs of care trajectories of people with dementia compared with matched controls. Longitudinal analysis of linked health and administrative data.

OBJECTIVES: To provide insight into the health and social care costs during the disease trajectory in persons with dementia and the impact of institutionalization and death on healthcare costs compared with matched persons without dementia. METHODS: Electronic health record data from family physicians were linked with national administrative databases to estimate costs of primary care, medication, secondary care, mental care, home care and institutional care for people with dementia and matched persons from the year before the recorded dementia diagnosis until death or a maximum of 4 years after the diagnosis. RESULTS: Total mean health and social care costs among persons with dementia increased substantially during the disease trajectory, mainly due to institutional care costs. For people who remained living in the community, mean health and social care costs are higher for people with dementia than for those without dementia, while for those who are admitted to a long-term care facility, mean health and social care costs are higher for people without dementia than for those with dementia. CONCLUSIONS: The steep rise in health and social care costs across the dementia care trajectory is mainly due to increasing costs for institutional care. For those remaining in the community, home care costs and hospital care costs were the main cost drivers. Future research should adopt a societal perspective to investigate the influence of including social costs.

Admissions for psychosis following agency-notified child maltreatment at 40-year-follow-up: Results from the Childhood Adversity and Lifetime Morbidity (CALM) cohort.

There is substantial evidence of an association between self-reported child maltreatment (CM) and subsequent psychosis in retrospective data. Such findings may be affected by recall bias. Prospective studies of notifications to statutory agencies address recall bias but are less common and subject to attrition bias. These studies may therefore be underpowered to detect significant associations for some CM types such as sexual abuse. This study therefore linked administrative health data to a large birth cohort that included notifications to child protection agencies. We assessed psychiatric outcomes of CM as measured by inpatient admissions for non-affective psychoses (ICD10 codes F20-F29) to both public and private hospitals in Brisbane, Australia. Follow-up was up to 40 years old. There were 6087 cohort participants whose data could be linked to the administrative health data. Of these, 10.1 % had been the subject of a CM notification. Seventy-two participants (1.2 %) had been admitted for non-affective psychosis by 40-year follow-up. On adjusted analysis, all notified and substantiated types of CM were associated with admissions for non-affective psychosis. This included neglect, physical, sexual or emotional abuse, as well as notifications for multiple CM types. For instance, there was a 2.72-fold increase in admissions following any agency notification (95 % CI = 1.53-4.85). All maltreatment types therefore show a significant association with subsequent admissions for psychosis up to the age of 40. Screening for CM in individuals who present with psychosis is, therefore, indicated, as well as greater awareness that survivors of CM may be at higher risk of developing psychotic symptoms.

Cohort profile: the British Columbia COVID-19 Cohort (BCC19C)-a dynamic, linked population-based cohort.

Purpose: The British Columbia COVID-19 Cohort (BCC19C) was developed from an innovative, dynamic surveillance platform and is accessed/analyzed through a cloud-based environment. The platform integrates recently developed provincial COVID-19 datasets (refreshed daily) with existing administrative holdings and provincial registries (refreshed weekly/monthly). The platform/cohort were established to inform the COVID-19 response in near "real-time" and to answer more in-depth epidemiologic questions. Participants: The surveillance platform facilitates the creation of large, up-to-date analytic cohorts of people accessing COVID-19 related services and their linked medical histories. The program of work focused on creating/analyzing these cohorts is referred to as the BCC19C. The administrative/registry datasets integrated within the platform are not specific to COVID-19 and allow for selection of "control" individuals who have not accessed COVID-19 services. Findings to date: The platform has vastly broadened the range of COVID-19 analyses possible, and outputs from BCC19C analyses have been used to create dashboards, support routine reporting and contribute to the peer-reviewed literature. Published manuscripts (total of 15 as of July, 2023) have appeared in high-profile publications, generated significant media attention and informed policy and programming. In this paper, we conducted an analysis to identify sociodemographic and health characteristics associated with receiving SARS-CoV-2 laboratory testing, testing positive, and being fully vaccinated. Other published analyses have compared the relative clinical severity of different variants of concern; quantified the high "real-world" effectiveness of vaccines in addition to the higher risk of myocarditis among younger males following a 2nd dose of an mRNA vaccine; developed and validated an algorithm for identifying long-COVID patients in administrative data; identified a higher rate of diabetes and healthcare utilization among people with long-COVID; and measured the impact of the pandemic on mental health, among other analyses. Future plans: While the global COVID-19 health emergency has ended, our program of work remains robust. We plan to integrate additional datasets into the surveillance platform to further improve and expand covariate measurement and scope of analyses. Our analyses continue to focus on retrospective studies of various aspects of the COVID-19 pandemic, as well as prospective assessment of post-acute COVID-19 conditions and other impacts of the pandemic.

Reshaping Smart Cities through NGSI-LD Enrichment.

The vast amount of information stemming from the deployment of the Internet of Things and open data portals is poised to provide significant benefits for both the private and public sectors, such as the development of value-added services or an increase in the efficiency of public services. This is further enhanced due to the potential of semantic information models such as NGSI-LD, which enable the enrichment and linkage of semantic data, strengthened by the contextual information present by definition. In this scenario, advanced data processing techniques need to be defined and developed for the processing of harmonised datasets and data streams. Our work is based on a structured approach that leverages the principles of linked-data modelling and semantics, as well as a data enrichment toolchain framework developed around NGSI-LD. Within this framework, we reveal the potential for enrichment and linkage techniques to reshape how data are exploited in smart cities, with a particular focus on citizen-centred initiatives. Moreover, we showcase the effectiveness of these data processing techniques through specific examples of entity transformations. The findings, which focus on improving data comprehension and bolstering smart city advancements, set the stage for the future exploration and refinement of the symbiosis between semantic data and smart city ecosystems.

Emergency department presentations for deliberate self-harm and suicidal ideation in 25-39 years olds following agency-notified child maltreatment: results from the Childhood Adversity and Lifetime Morbidity (CALM) study.

AIMS: To compare prospective reports of child maltreatment (CM) with emergency department (ED) presentations for deliberate self-harm (DSH) and suicidal ideation in individuals aged between 25 and 39 years old. METHODS: Linked records between the Mater-University of Queensland Study of Pregnancy birth cohort and Queensland administrative health data were used, which included notifications to child protection agencies for CM. ED presentations for individuals aged between 25 and 39 years of age for suicidal ideation, suicidal behaviour or poisoning by paracetamol or psychotropic medications where the intention was unclear were examined using logistic regression analyses. RESULTS: A total of 609 (10.1%) individuals were the subject of one or more CM notifications for neglect or physical, sexual or emotional abuse before the age of 15 years. Of these, 250 (4.1%) presented at least once to ED for DSH and/or suicidal ideation between 25 and 39 years of age. In adjusted analysis, any notification of CM was associated with significantly increased odds of presenting to ED for these reasons (aOR = 2.80; 95% CI = 2.04-3.84). In sensitivity analyses, any notification of CM increased the odds of the combined outcome of DSH and suicidal ideation by 275% (aOR = 2.75; 95% CI = 1.96-4.06) and increased the odds of DSH alone by 269% (aOR = 2.69; 95% CI = 1.65-4.41). CONCLUSIONS: All CM types (including emotional abuse and neglect) were associated with ED presentations for DSH and suicidal ideation in individuals between 25 and 39 years of age. These findings have important implications for the prevention of DSH, suicidal ideation and other health outcomes. They also underscore the importance of trauma-informed care in ED for all individuals presenting with DSH and suicidal ideation.

The use of linked administrative data in Australian randomised controlled trials: A scoping review.

BACKGROUND/AIMS: The demand for simplified data collection within trials to increase efficiency and reduce costs has led to broader interest in repurposing routinely collected administrative data for use in clinical trials research. The aim of this scoping review is to describe how and why administrative data have been used in Australian randomised controlled trial conduct and analyses, specifically the advantages and limitations of their use as well as barriers and enablers to accessing administrative data for use alongside randomised controlled trials. METHODS: Databases were searched to November 2022. Randomised controlled trials were included if they accessed one or more Australian administrative data sets, where some or all trial participants were enrolled in Australia, and where the article was published between January 2000 and November 2022. Titles and abstracts were independently screened by two reviewers, and the full texts of selected studies were assessed against the eligibility criteria by two independent reviewers. Data were extracted from included articles by two reviewers using a data extraction tool. RESULTS: Forty-one articles from 36 randomised controlled trials were included. Trial characteristics, including the sample size, disease area, population, and intervention, were varied; however, randomised controlled trials most commonly linked to government reimbursed claims data sets, hospital admissions data sets and birth/death registries, and the most common reason for linkage was to ascertain disease outcomes or survival status, and to track health service use. The majority of randomised controlled trials were able to achieve linkage in over 90% of trial participants; however, consent and participant withdrawals were common limitations to participant linkage. Reported advantages were the reliability and accuracy of the data, the ease of long term follow-up, and the use of established data linkage units. Common reported limitations were locating participants who had moved outside the jurisdictional area, missing data where consent was not provided, and unavailability of certain healthcare data. CONCLUSIONS: As linked administrative data are not intended for research purposes, detailed knowledge of the data sets is required by researchers, and the time delay in receiving the data is viewed as a barrier to its use. The lack of access to primary care data sets is viewed as a barrier to administrative data use; however, work to expand the number of healthcare data sets that can be linked has made it easier for researchers to access and use these data, which may have implications on how randomised controlled trials will be run in future.

Trajectories of homelessness and association with mental health and substance use disorders among young people transitioning from out-of-home care in Australia.

BACKGROUND: Researchers have examined sub-groups that may exist among young people transitioning from out-of-home care (OHC) using various theoretical models. However, this population group has not been examined for trajectories of homelessness risk. OBJECTIVES: To examine whether different subtypes of homelessness risk exist among young people transitioning from care and whether these trajectories of homelessness are associated with mental health and substance use disorders. PARTICIPANTS AND SETTING: A retrospective population-based cohort study was conducted from a population of 1018 young people (aged 15-18 years) who transitioned from out-of-home in 2013 to 2014 in the state of Victoria, Australia, with follow-up to 2018. METHODS: Latent Class Growth Analysis was conducted using linked data from homelessness data collections, child protection, mental health information systems, alcohol and drug use, and youth justice information systems. RESULTS: Three sub-groups of young people were identified. The 'moving on' group (88 %) had the lowest levels of homelessness, with the slope of this trajectory remaining almost stable. The 'survivors' (7 %) group started off with a high risk of homelessness, followed by a sharp decrease in homelessness risk over time. The 'complex' (5 %) group started off with a low risk of homelessness but faced sharp increases in the risk of homelessness over time. CONCLUSIONS: Our study demonstrates that subgroups of young people transitioning from care exist with distinct longitudinal trajectories of homelessness, and these classes are associated with different risk factors. Early intervention and different approaches to tackling homelessness should be considered for these three distinct groups before transitioning from care and during the first few years after leaving care.

The hidden impact of alcohol on young victims: an analysis of alcohol-related police offences resulting in hospitalisation.

BACKGROUND: Alcohol-related harm (ARH) is a significant public health concern affecting young individuals, particularly those involved in alcohol-related police incidents resulting in hospitalisation. However, the impact of alcohol on young victims remains under researched. This study aimed to identify the characteristics of offenders and victims involved in these incidents, analyse the types of offences, and understand the under-ascertainment of ARH in hospital records. METHODS: A retrospective longitudinal study of 12-24-year-olds born between 1980 and 2005 was conducted using linked data from hospital admissions, emergency department presentations, and police incident records. Alcohol-related incidents were identified based on the attending officers' opinions in the Western Australia Police's Incident Management System (IMS). Logistic and log-binomial regression were utilised to analyse the factors associated with victimisation and under-ascertainment of ARH. RESULTS: Our study included 22,747 individuals (11,433 victims and 11,314 offenders) involved in alcohol-related police incidents, with a small majority of victims being female (53%, n = 6,074) and a large majority of offenders being male (84.3%, n = 9,532). Most victims did not receive a diagnosis of ARH (71%, n = 760). Women were 10 times more likely to have been a victim in ARH police incidents and 2 times more likely to have an undiagnosed alcohol-related hospital admission than men. Victims and offenders predominantly came from disadvantaged areas and major cities. Aboriginal individuals were overrepresented as both offenders and victims. A significant proportion of individuals experienced emergency department presentations or hospital admissions, with head injuries being the most common. Assault causing bodily harm was the most prevalent offence resulting in hospitalisation (66%, n = 2,018). CONCLUSIONS: There is a noteworthy disparity between the quantity of hospital admissions attributed to alcohol-related incidents and the number of cases that are formally classified as ARH in the hospital system. This disparity highlights a more profound issue of substantial under-ascertainment or inadequate identification of ARH than previously acknowledged. Our findings justify the prioritisation of prevention strategies, beyond improvement in the documentation of alcohol-related hospitalisation. Considering the scale of the problem, and the underestimation of the burden of alcohol-related hospitalisation, a proportional increase in investment is necessary to achieve population-level reductions in ARH.

A Longitudinal Study of Health Care Utilization Among Infants Investigated for Maltreatment.

OBJECTIVE: To evaluate whether maltreatment investigated during infancy affects high-acuity health care utilization patterns during early childhood. METHODS: Retrospective case-control study based on linked data between child protection and hospital encounter records conducted to review health records of infants investigated for abuse and/or neglect. Cases and controls were followed longitudinally through the Rady Children's Hospital electronic health records for 4 years starting at the age of 1 year. RESULTS: A total of 3692 children were investigated for maltreatment within the first year of life. When comparisons were made between children reported for maltreatment and matched controls, children with infancy maltreatment reports had significantly more high-acuity health care encounters than matched controls (average treatment effect = 1.53, 95% Confidence Interval 1.08-1.99, P < .001). CONCLUSIONS: Infants investigated for maltreatment have greater high-acuity health care utilization in early childhood. These findings highlight this population's need for well-defined medical homes to ensure appropriate health care. Further understanding of the underlying reasons for this increased health care burden will help inform these efforts.

Infants entering out-of-home care: Health, developmental needs and service provision.

BACKGROUND: There are rising numbers of infants entering out-of-home care due to child protection concerns. Research has found that infants entering care are at higher risk of developmental vulnerability and poor health problems. OBJECTIVES: To determine the prevalence of developmental vulnerability for children who entered care as infants, and the extent and likelihood of service provision in relation to their developmental vulnerability. PARTICIPANTS AND SETTING: This study includes children who entered care before the age of 1 year for the first time between May 2010 and October 2011 in New South Wales, Australia, and who received final Children's Court care and protection orders by 30 April 2013. METHODS: This is a prospective cohort study using interview data from the Pathways of Care Longitudinal Study (POCLS) as well as linked administrative child protection and health data. This study used standardised assessments (Age and Stages Questionnaire and the Brief Infant Toddler Social Emotional Assessment) included in the POCLS. Simple and multiple logistic regression analysis was conducted to investigate the likelihood of infants receiving professional services for developmental delays since placement. FINDINGS: A high proportion of children who entered care as infants were identified as developmentally vulnerable through health indicators (36 %) and standardised assessments (70 %). Only 17 % of infants in care received services for developmental delay, with 20 % and 15 % of those identified as developmentally vulnerable through standardised assessments and health-related variables receiving services, respectively. CONCLUSIONS: The findings point to the importance of developmental assessment of infants in care and the identification of developmental vulnerability and delays. The provision of early intervention services is essential for this group of high-risk infants and will be important in optimising their health, as well as social and emotional outcomes.

Educational composition effect on the sex gap in life expectancy: A research note based on evidence from Australia.

Life expectancy for females has exceeded that of males globally this century. There is considerable within-country variation in life expectancy related to education. Sex gaps in life expectancy can be decomposed into two components: sex differences in education-specific mortality and sex differences in educational composition. We illustrate this using Australian data for 2016, when the sex gap in life expectancy at age 25 was 3.8 years. The sex gap would be as large as 4.5 years if males and females had the same educational composition; however, it is reduced by 0.7 years, given the lower levels of education among women than men. In a hypothetical scenario accounting for recent increases in females' educational achievement (holding the educational composition at all ages constant at that observed at ages 25-39 for both sexes), we estimate a potential increase in the sex gap (to 4.1 years) in favour of females.

Assessing resolvability, parsability, and consistency of RDF resources: a use case in rare diseases.

INTRODUCTION: Healthcare data and the knowledge gleaned from it play a key role in improving the health of current and future patients. These knowledge sources are regularly represented as 'linked' resources based on the Resource Description Framework (RDF). Making resources 'linkable' to facilitate their interoperability is especially important in the rare-disease domain, where health resources are scattered and scarce. However, to benefit from using RDF, resources need to be of good quality. Based on existing metrics, we aim to assess the quality of RDF resources related to rare diseases and provide recommendations for their improvement. METHODS: Sixteen resources of relevance for the rare-disease domain were selected: two schemas, three metadatasets, and eleven ontologies. These resources were tested on six objective metrics regarding resolvability, parsability, and consistency. Any URI that failed the test based on any of the six metrics was recorded as an error. The error count and percentage of each tested resource were recorded. The assessment results were represented in RDF, using the Data Quality Vocabulary schema. RESULTS: For three out of the six metrics, the assessment revealed quality issues. Eleven resources have non-resolvable URIs with proportion to all URIs ranging from 0.1% (6/6,712) in the Anatomical Therapeutic Chemical Classification to 13.7% (17/124) in the WikiPathways Ontology; seven resources have undefined URIs; and two resources have incorrectly used properties of the 'owl:ObjectProperty' type. Individual errors were examined to generate suggestions for the development of high-quality RDF resources, including the tested resources. CONCLUSION: We assessed the resolvability, parsability, and consistency of RDF resources in the rare-disease domain, and determined the extent of these types of errors that potentially affect interoperability. The qualitative investigation on these errors reveals how they can be avoided. All findings serve as valuable input for the development of a guideline for creating high-quality RDF resources, thereby enhancing the interoperability of biomedical resources.