Prevalence of extra-pulmonary tuberculosis in Africa: A systematic review and meta-analysis.

OBJECTIVE: The burden of extra-pulmonary tuberculosis (EPTB) is not well quantified in TB endemic countries such as those in sub-Saharan Africa. This study aimed to quantify that burden via a systematic review of the prevalence of EPTB in African countries. METHODS: Studies were retrieved by searching five databases; 105 studies published between 1990 and 2023 were included. The studies described the prevalence of EPTB among the general population (4 studies), TB patients (68) and patients with other conditions, including HIV (15), meningitis (3), renal failure (3) and other comorbidities, some of which are cancer (12). Due to the low number of studies reporting EPTB in patients with conditions other than TB, the meta-analysis was performed on studies reporting on EPTB among TB patients (68 studies). Meta-analysis was performed on the 68 studies (271,073 participants) using a random-effects model to estimate the pooled prevalence of EPTB. Meta-regression was used to explore possible explanations for heterogeneity according to regions and time periods. RESULTS: The pooled prevalence of EPTB among TB patients was 26% (95% CI 23-29%). There was substantial heterogeneity of prevalence for the five African regions. The Eastern region had the highest prevalence of 32% (95% CI 28-37%) and the lowest in Western Africa, 16% (95% CI 10-24%). There was no significant difference in the prevalence of EPTB between the 3 eleven-year time periods. CONCLUSIONS: Our systematic review and meta-analysis give insight into the burden of EPTB in Africa. This review could inform clinical and programmatic practices-a higher suspicion index for clinicians and more effort for better services. This could contribute to efforts aiming to end TB, which have historically been focused on PTB.Coordinated efforts that target both EPTB and PTB are needed.

Prediction of Ross River Virus Incidence Using Mosquito Data in Three Cities of Queensland, Australia.

Ross River virus (RRV) is the most common mosquito-borne disease in Australia, with Queensland recording high incidence rates (with an annual average incidence rate of 0.05% over the last 20 years). Accurate prediction of RRV incidence is critical for disease management and control. Many factors, including mosquito abundance, climate, weather, geographical factors, and socio-economic indices, can influence the RRV transmission cycle and thus have potential utility as predictors of RRV incidence. We collected mosquito data from the city councils of Brisbane, Redlands, and Mackay in Queensland, together with other meteorological and geographical data. Predictors were selected to build negative binomial generalised linear models for prediction. The models demonstrated excellent performance in Brisbane and Redlands but were less satisfactory in Mackay. Mosquito abundance was selected in the Brisbane model and can improve the predictive performance. Sufficient sample sizes of continuous mosquito data and RRV cases were essential for accurate and effective prediction, highlighting the importance of routine vector surveillance for disease management and control. Our results are consistent with variation in transmission cycles across different cities, and our study demonstrates the usefulness of mosquito surveillance data for predicting RRV incidence within small geographical areas.

Reasons for Encounters and Comorbidities in Adolescents with Intellectual Disability in General Practice: A Retrospective Analysis of Data from the Ask Study.

Adolescents with intellectual disability have substantial health needs. This retrospective analysis of data from the Ask Study describes reasons for primary care encounters and the prevalence and incidence of chronic physical and mental conditions among a cohort of community-dwelling adolescents with intellectual disability. Participants attended secondary schools in southern Queensland, Australia. Primary care data were extracted from primary care records. Demographic and health information was collected using carer-completed questionnaires. Reasons for primary care encounters, disease prevalence at age 16 years, and disease incidence through adolescence were reported. Data were obtained for 432 adolescents with intellectual disability (median follow-up: 4.1 years). Skin problems (29.4 per 100 encounters) were the most common reason patients presented for primary care, followed by psychological and behavioural problems (14.4 per 100 encounters) and musculoskeletal problems (13.8 per 100 encounters). Conditions with the highest prevalence were autism spectrum disorder (18.6%) and asthma (18.1%). The prevalence of epilepsy, visual impairment, and cerebral palsy were 14.7, 11.1, and 8.0%, respectively. Gastroesophageal reflux had the highest incidence (9.4 cases per 1000 person-years). Adolescents with intellectual disability have significant healthcare needs, which general practitioners need to be aware of and address. Study findings should inform the development of training programs for general practitioners.

"My Autism is Linked with Everything": at the Crossroads of Autism and Diabetes.

Autistic adults experience stark health disparities and difficulties accessing health care. Their realities of managing complex health conditions are unknown. Our research explored the experience of Autistic adults self-managing diabetes. Interviews with Autistic adults with diabetes and their support people were thematically analysed to identify three key themes. The Autistic experience influenced diabetes self-management, including autism-unique challenges and strengths. Participants prioritised avoiding Autistic burnout over diabetes self-management; mitigating the psychosocial pressures of neurotypical systems took precedence. Health professionals often separated autism and diabetes subsequently overlooking key factors impacting diabetes self-management. To better meet the needs of Autistic adults, diabetes care and health management more broadly should be considered within the context of autism, including supports for self-management during Autistic burnout.

Health services for aboriginal and Torres Strait Islander children in remote Australia: A scoping review.

In Australia, there is a significant gap between health outcomes in Indigenous and non-Indigenous children, which may relate to inequity in health service provision, particularly in remote areas. The aim was to conduct a scoping review to identify publications in the academic and grey literature and describe 1) Existing health services for Indigenous children in remote Australia and service use, 2) Workforce challenges in remote settings, 3) Characteristics of an effective health service, and 4) Models of care and solutions. Electronic databases of medical/health literature were searched (Jan 1990 to May 2021). Grey literature was identified through investigation of websites, including of local, state and national health departments. Identified papers (n = 1775) were screened and duplicates removed. Information was extracted and summarised from 116 papers that met review inclusion criteria (70 from electronic medical databases and 45 from the grey literature). This review identified that existing services struggle to meet demand. Barriers to effective child health service delivery in remote Australia include availability of trained staff, limited services, and difficult access. Aboriginal and Community Controlled Health Organisations are effective and should receive increased support including increased training and remuneration for Aboriginal Health Workers. Continuous quality assessment of existing and future programs will improve quality; as will measures that reflect aboriginal ways of knowing and being, that go beyond traditional Key Performance Indicators. Best practice models for service delivery have community leadership and collaboration. Increased resources with a focus on primary prevention and health promotion are essential.

Variation in hospital morbidities in an Australian neonatal intensive care unit network.

OBJECTIVE: There is an expectation among the public and within the profession that the performance and outcome of neonatal intensive care units (NICUs) should be comparable between centres with a similar setting. This study aims to benchmark and audit performance variation in a regional Australian network of eight NICUs. DESIGN: Cohort study using prospectively collected data. SETTING: All eight perinatal centres in New South Wales and the Australian Capital Territory, Australia. PATIENTS: All live-born infants born between 23+0 and 31+6 weeks gestation admitted to one of the tertiary perinatal centres from 2007 to 2020 (n=12 608). MAIN OUTCOME MEASURES: Early and late confirmed sepsis, intraventricular haemorrhage, medically and surgically treated patent ductus arteriosus, chronic lung disease (CLD), postnatal steroid for CLD, necrotising enterocolitis, retinopathy of prematurity (ROP), surgery for ROP, hospital mortality and home oxygen. RESULTS: NICUs showed variations in maternal and neonatal characteristics and resources. The unadjusted funnel plots for neonatal outcomes showed apparent variation with multiple centres outside the 99.8% control limits of the network values. The hierarchical model-based risk-adjustment accounting for differences in patient characteristics showed that discharged home with oxygen is the only outcome above the 99.8% control limits. CONCLUSIONS: Hierarchical model-based risk-adjusted estimates of morbidity rates plotted on funnel plots provide a robust and straightforward visual graphical tool for presenting variations in outcome performance to detect aberrations in healthcare delivery and guide timely intervention. We propose using hierarchical model-based risk adjustment and funnel plots in real or near real-time to detect aberrations and start timely intervention.

Use of psychotropic medications in adults with intellectual disability: A systematic review and meta-analysis.

OBJECTIVE: This study presents the proportion of adults with intellectual disability using psychotropic medications including antipsychotics, antidepressants, anxiolytics, hypnotics and sedatives, and psychostimulants. METHODS: A search was performed in PubMed, Embase, PsycINFO, Web of Science, and Scopus up to 31 December 2021. Articles were included if they reported the proportion of adults with intellectual disability using psychotropic medications. Frequency of use was estimated using a random effects meta-analysis. Meta-regression analysis was used to assess the association between study-level characteristics and variability in estimates, when heterogeneity was considerable. RESULTS: Twenty-four articles were included in pooled analysis. The pooled prevalence of psychotropic medications was 41% (95% confidence interval: 35-46%). Pooled prevalences of subclasses were as follows: antipsychotics 31% (27-35%), antidepressants 14% (9-19%), anxiolytics 9% (4-15%), hypnotics/sedatives 5% (2-8%), and psychostimulants 1% (1-2%). Heterogeneity was considerable between studies, except for psychostimulants. There was no significant association between assessed characteristics and variability in prevalence estimates. CONCLUSION: Two-fifths of adults with intellectual disability were prescribed psychotropic medications. Antipsychotics and antidepressants were used by one-third and one-seventh of adults, respectively. There was considerable variability between studies, and further investigation is required to determine the source of variability. More studies are needed to better characterise prescribed psychotropic medications, including effectiveness and adverse effects, to ensure appropriate use of these drugs.

Severe cyclones and sex-specific birth outcomes in Queensland, Australia: An interrupted time-series analysis.

OBJECTIVES: A male is less adaptable to biological stressors than a female fetus with consequent higher morbidity and mortality. Adverse birth outcomes increase and male livebirths decrease after environmental disasters, economic crises, and terrorist events. We hypothesized the ratio of male to female livebirths would decrease in areas affected by severe tropical cyclones (TCs) in Queensland, Australia. Additionally, in male livebirths, there would be an increase in preterm and low birthweight births. Lastly, we hypothesized that the pregnancy stage at which exposure occurred would modify the association between TC exposure and observed outcomes. METHODS: Interrupted time series analysis was used to analyze Queensland administrative birth records from July 2007 to June 2018 for significant changes in the sex ratio at birth, measured as the proportion of male livebirths. Adjusted generalized linear models were fitted to births in areas affected by two category five TCs: cyclones Yasi (February 2011) and Marcia (February 2015). To explore male mortality and morbidity risk, additional analysis was conducted on the proportion of male stillborn, low birthweight, and preterm births. The association between estimated pregnancy stage during the TC and the proportion of male births was also analyzed. RESULTS: Contrary to our hypothesis, increases in the proportion of male livebirths were observed following early-pregnancy exposure to cyclone Yasi and mid-pregnancy exposure to Marcia, although the latter was not statistically significant. No significant changes were observed in proportions of male stillborn, low birthweight, and preterm births. CONCLUSIONS: This study found a significant association between severe TCs and sex ratio at birth. The stage of pregnancy at which maternal stressors were experienced modified this association. Among people exposed in early to mid-pregnancy, the proportion of male births was higher. This may be because of differential loss of females in utero. Studying sex differences in birth outcomes provides insight into in utero vulnerabilities associated with environmental stressors. Climate change is increasing the intensity and frequency of natural disasters. Understanding fetal vulnerability to environmental stressors will provide crucial information supporting early life health interventions that mitigate the immediate and long-term effects.

Prediction of Ross River virus incidence in Queensland, Australia: building and comparing models.

Transmission of Ross River virus (RRV) is influenced by climatic, environmental, and socio-economic factors. Accurate and robust predictions based on these factors are necessary for disease prevention and control. However, the complicated transmission cycle and the characteristics of RRV notification data present challenges. Studies to compare model performance are lacking. In this study, we used RRV notification data and exposure data from 2001 to 2020 in Queensland, Australia, and compared ten models (including generalised linear models, zero-inflated models, and generalised additive models) to predict RRV incidence in different regions of Queensland. We aimed to compare model performance and to evaluate the effect of statistical over-dispersion and zero-inflation of RRV surveillance data, and non-linearity of predictors on model fit. A variable selection strategy for screening important predictors was developed and was found to be efficient and able to generate consistent and reasonable numbers of predictors across regions and in all training sets. Negative binomial models generally exhibited better model fit than Poisson models, suggesting that over-dispersion in the data is the primary factor driving model fit compared to non-linearity of predictors and excess zeros. All models predicted the peak periods well but were unable to fit and predict the magnitude of peaks, especially when there were high numbers of cases. Adding new variables including historical RRV cases and mosquito abundance may improve model performance. The standard negative binomial generalised linear model is stable, simple, and effective in prediction, and is thus considered the best choice among all models.

Characteristics associated with frequent health system use by Australian adults with intellectual disability: A cohort study.

BACKGROUND: In a cohort of adults with intellectual disability who were followed for up to 16-years, we investigated characteristics associated with frequent emergency department (ED) presentations, hospitalisation, and psychiatric care. METHOD: Community-dwelling adults with intellectual disability residing in Queensland, Australia, were followed from 1999 to 2015. Healthcare presentations were extracted from administrative databases. Adults who presented frequently were identified and characteristics associated with frequent presentations were identified. RESULTS: Data from 445 adults were analysed. Chronic disease and challenging behaviour were associated with frequent ED presentations (adjusted odds ratio = 1.8, 95% confidence interval = 1.1-3.0 and aOR = 2.2, 95% CI = 1.2-3.9 respectively). Chronic disease and severe/profound intellectual disability were associated with frequent hospitalisations (aOR = 1.9, 95% CI = 1.2-3.2 and aOR = 2.0, 95% CI = 1.2-3.3 respectively). Psychotropic medication use was associated with frequent psychiatric presentations (aOR = 1.9, 95% CI = 1.0-3.4). CONCLUSIONS: Adults at high risk of frequent healthcare presentations should be identified for programmes of optimising health system use, and potentially improving health care quality.

Association between severe cyclone events and birth outcomes in Queensland, Australia, 2008-2018: a population based retrospective cohort study.

OBJECTIVE: Investigate an association between severe tropical cyclones (TCs) and birth outcomes in an Australian population. METHODS: We analysed over 600,000 singleton livebirths collected through the Queensland Perinatal Data Collection between 2008 and 2018. We estimated the odds ratios (ORs) of adverse birth outcomes using logistic multi-level modelling. RESULTS: Exposure to TCs in early pregnancy was associated with significantly higher odds of preterm births in affected compared to unaffected areas during the TC year [OR=1.28, 95%CI=1.11, 1.49, p=0.001] and slightly significant higher odds in affected areas during TC years compared to non-TC years. Significantly higher odds of low birthweight births were associated with mid-pregnancy exposure to cyclone Marcia [OR=1.62, 95%CI=1.00, 2.40, p=0.016] . CONCLUSIONS: Findings aligned with studies demonstrating an association between exposure to environmental stressors in early to mid-pregnancy and adverse birth outcomes. IMPLICATIONS FOR PUBLIC HEALTH: There is limited research into TCs and perinatal health in Australia despite most of the population residing along coastlines and TCs presenting one of the nation's most devastating weather events. This study will inform public health practice and contribute to further research into mitigating environmental risks faced by pregnant women.

Human Seroprevalence for Dengue, Ross River, and Barmah Forest viruses in Australia and the Pacific: A systematic review spanning seven decades.

BACKGROUND: Dengue (DENV), Ross River (RRV) and Barmah Forest viruses (BFV) are the most common human arboviral infections in Australia and the Pacific Island Countries and Territories (PICTs) and are associated with debilitating symptoms. All are nationally notifiable in Australia, but routine surveillance is limited to a few locations in the PICTs. Understanding the level of human exposure to these viruses can inform disease management and mitigation strategies. To assess the historic and current seroprevalence of DENV, RRV and BFV in Australia and the PICTs we conducted a systematic literature review of all published quantitative serosurveys. METHODOLOGY AND PRINCIPAL FINDINGS: The Preferred Reporting of Items for Systematic Reviews and Meta-Analyses procedures were adopted to produce a protocol to systematically search for published studies reporting the seroprevalence of DENV, RRV and BFV in Australia and the PICTs. Data for author, research year, location, study population, serosurvey methods and positive tests were extracted. A total of 41 papers, reporting 78 serosurveys of DENV, RRV and BFV including 62,327 samples met the inclusion criteria for this review. Seroprevalence varied depending on the assay used, strategy of sample collection and location of the study population. Significant differences were observed in reported seropositivity depending on the sample collection strategy with clinically targeted sampling reporting the highest seroprevalence across all three viruses. Non-stratified seroprevalence showed wide ranges in reported positivity with DENV 0.0% - 95.6%, RRV 0.0% - 100.0%, and BFV 0.3% - 12.5%. We discuss some of the causes of variation including serological methods used, selection bias in sample collection including clinical or environmental associations, and location of study site. We consider the extent to which serosurveys reflect the epidemiology of the viruses and provide broad recommendations regarding the conduct and reporting of arbovirus serosurveys. CONCLUSIONS AND SIGNIFICANCE: Human serosurveys provide important information on the extent of human exposure to arboviruses across: (1) time, (2) place, and (3) person (e.g., age, gender, clinical presentation etc). Interpreting results obtained at these scales has the potential to inform us about transmission cycles, improve diagnostic surveillance, and mitigate future outbreaks. Future research should streamline methods and reduce bias to allow a better understanding of the burden of these diseases and the factors associated with seroprevalence. Greater consideration should be given to the interpretation of seroprevalence in studies, and increased rigour applied in linking seroprevalence to transmission dynamics.

Spatial and Temporal Patterns of Ross River Virus in Queensland, 2001-2020.

Ross River virus (RRV), the most common human arbovirus infection in Australia, causes significant morbidity and substantial medical costs. About half of Australian cases occur in Queensland. We describe the spatial and temporal patterns of RRV disease in Queensland over the past two decades. RRV notifications, human population data, and weather data from 2001 to 2020 were analysed by the Statistical Area Level 2 (SA2) area. Spatial interpolation or linear extrapolation were used for missing weather values and the estimated population in 2020, respectively. Notifications and incidence rates were analysed through space and time. During the study period, there were 43,699 notifications in Queensland. The highest annual number of notifications was recorded in 2015 (6182), followed by 2020 (3160). The average annual incidence rate was 5 per 10,000 people and the peak period for RRV notifications was March to May. Generally, SA2 areas in northern Queensland had higher numbers of notifications and higher incidence rates than SA2 areas in southern Queensland. The SA2 areas with high incidence rates were in east coastal areas and western Queensland. The timely prediction may aid disease prevention and routine vector control programs, and RRV management plans are important for these areas.

Early diagnosis of kala-azar in Bangladesh: Findings from a population based mixed methods research informing the post-elimination era.

BACKGROUND: Global annual reports of visceral leishmaniasis or kala-azar ("black fever") reduced from 200,000 cases in 2012 to 23,804 in 2015. India, Bangladesh and Nepal reported 80% of the global cases in 2012, but 39% in 2015. We sought to identify major amenable barriers to early diagnosis of kala-azar in peripheral areas of Mymensingh district, an area of Bangladesh that was highly endemic for kala-azar. METHODS: We conducted sequential exploratory mixed methods research. Qualitative data were first derived from in-depth interviews and focus group discussions among 29 patients diagnosed with kala-azar, their families, and neighbours. Preliminary results from qualitative analysis were used to design a structured questionnaire, which was administered to collect data on the processes leading to the diagnosis of kala-azar from 102 patients. Qualitative and quantitative data were integrated consistent with the chronology for kala-azar patients seeking care. The study was conducted from September 2011 to May 2012 in Fulbaria and Gaffargaon sub-districts of Mymensingh. RESULTS: The median delay from fever onset to confirmatory diagnosis of kala-azar was 60 days, with 38% of the cases diagnosed within 30 days. Public health facilities and Gaffargaon sub-district achieved high proportions of early diagnosis. Individual barriers to early diagnosis were low awareness of symptoms and treatment facilities, poverty, and traditional beliefs. Other factors were the remoteness of health care centres, wet season transport difficulty, mis-diagnosis as typhoid, limited availability of rK-39 testing at the community level, and the inclusion of splenomegaly in the case definition. CONCLUSIONS: Targeted community awareness campaigns appropriate for underprivileged communities will increase care seeking and consequently diagnosis. Improved diagnostic guidelines and a strong referral chain for kala-azar will accelerate diagnosis. These steps will contribute significantly to the National Kala-azar Elimination Program of Bangladesh, especially during the post-elimination era.

Emergency Department Presentations by Children in Remote Australia: A Population-based Study.

Background. Aboriginal leaders invited us to examine the frequency and reasons for emergency department (ED) presentations by children in remote Western Australia, where Prenatal Alcohol Exposure (PAE) is common. Methods. ED presentations (2007-11 inclusive) were examined for all children born in the Fitzroy Valley in 2002-03. Results. ED data for 127/134 (94.7%) children (95% Aboriginal) showed 1058 presentations over 5-years. Most (81%) had at least 1 presentation (median 9.0, range 1-50). Common presentations included: screening/follow-up/social reasons (16.0%), injury (15.1%), diseases of the ear (14.9%), skin (13.8%), respiratory tract (13.4%), and infectious and parasitic diseases (9.8%). PAE and higher presentations rates were associated. Commonly associated socio-economic factors were household over-crowding, financial and food insecurity. Conclusion. Children in very remote Fitzroy Crossing communities have high rates of preventable ED presentations, especially those with PAE. Support for culturally appropriate preventative programs and improved access to primary health services need to be provided in remote Australia.

Identifying community chronic kidney disease risk profile utilising general practice clinical records and spatial analysis: approach to inform policy and practice.

BACKGROUND: Chronic kidney disease (CKD) causes a significant health burden in Australia, and up to 50% of Australians with CKD remain undiagnosed. AIMS: To estimate the 5-year risk for CKD from general practice (GP) clinical records and to investigate the spatial variation and hot spots of CKD risk in an Australian community. METHOD: A cross-sectional study was designed using de-identified GP clinical data recorded from 2010 to 2015. A total of 16 GP participated in this study from West Adelaide, Australia. We used health records of 36 565 patients aged 35-74 years, with no prior history of CKD. The 5-year estimated CKD risk was calculated using the QKidney algorithm. Individuals' risk score was aggregated to Statistical Area Level 1 to predict the community CKD risk. A spatial hotspot analysis was applied to identify the communities with greater risk. RESULTS: The mean estimated 5-year risk for CKD in the sample population was 0.95% (0.93-0.97). Overall, 2.4% of the study population was at high risk of CKD. Significant hot spots and cold spots of CKD risk were identified within the study region. Hot spots were associated with lower socioeconomic status. CONCLUSIONS: This study demonstrated a new approach to explore the spatial variation of CKD risk at a community level, and implementation of a risk prediction model into a clinical setting may aid in early detection and increase disease awareness in regions of unmet CKD care.

An Association between Rainy Days with Clinical Dengue Fever in Dhaka, Bangladesh: Findings from a Hospital Based Study.

BACKGROUND: Dengue, a febrile illness, is caused by a Flavivirus transmitted by Aedes aegypti and Aedes albopictus mosquitoes. Climate influences the ecology of the vectors. We aimed to identify the influence of climatic variability on the occurrence of clinical dengue requiring hospitalization in Zone-5, a high incidence area of Dhaka City Corporation (DCC), Bangladesh. METHODS AND FINDINGS: We retrospectively identified clinical dengue cases hospitalized from Zone-5 of DCC between 2005 and 2009. We extracted records of the four major catchment hospitals of the study area. The Bangladesh Meteorological Department (BMD) provided data on temperature, rainfall, and humidity of DCC for the study period. We used autoregressive integrated moving average (ARIMA) models for the number of monthly dengue hospitalizations. We also modeled all the climatic variables using Poisson regression. During our study period, dengue occurred throughout the year in Zone-5 of DCC. The median number of hospitalized dengue cases was 9 per month. Dengue incidence increased sharply from June, and reached its peak in August. One additional rainy day per month increased dengue cases in the succeeding month by 6% (RR = 1.06, 95% CI: 1.04-1.09). CONCLUSIONS: Dengue is transmitted throughout the year in Zone-5 of DCC, with seasonal variation in incidence. The number of rainy days per month is significantly associated with dengue incidence in the subsequent month. Our study suggests the initiation of campaigns in DCC for controlling dengue and other Aedes mosquito borne diseases, including Chikunguniya from the month of May each year. BMD rainfall data may be used to determine campaign timing.

Appropriateness of psychotropic medication use in a cohort of adolescents with intellectual disability in Queensland, Australia.

BACKGROUND: Psychotropic medications are sometimes used off-label and inappropriately. This may cause harm to adolescents with intellectual disability. However, few studies have analysed off-label or inappropriate prescribing to this group. AIMS: To examine the appropriateness of psychotropic prescribing to adolescents with intellectual disability living in the community in south-east Queensland, Australia. METHOD: Off-label medication use was determined based on whether the recorded medical condition treated was approved by the Australian Therapeutic Goods Administration. Clinical appropriateness of medication use was determined based on published guidelines and clinical opinion of two authors who specialise in developmental disability medicine (J.N.T. and D.H.). RESULTS: We followed 429 adolescents for a median of 4.2 years. A total of 107 participants (24.9%) were prescribed psychotropic medications on at least one occasion. Of these, 88 (82.2%) were prescribed their medication off-label or inappropriately at least once. Off-label or inappropriate use were most commonly associated with challenging behaviours. CONCLUSIONS: Off-label or inappropriate use of psychotropic medications was common, especially for the management of challenging behaviours. Clinical decision-making accounts for individual patient factors and is made based on clinical experience as well as scientific evidence, whereas label indications are developed for regulatory purposes and, although appropriate at a population level, cannot encompass the foregoing considerations. Education for clinicians and other staff caring for people with intellectual disability, and a patient-centred approach to prescribing with involvement of families should encourage appropriate prescribing. The effect of the National Disability Insurance Scheme on the appropriateness of psychotropic medication prescribing should be investigated.

Trends in neonatal resuscitation patterns in Queensland, Australia - A 10-year retrospective cohort study.

OBJECTIVES: To describe the frequency of neonatal resuscitation interventions implemented for newborn babies in the state of Queensland over a 10-year period and determine if these changes suggest adherence to changes in Australian guidelines. STUDY DESIGN: A population-based retrospective cohort study utilising the Queensland Perinatal Data Collection dataset. All liveborn babies ≥23 + 0 weeks + days gestation born between 1 July 2007 and 30 June 2017 were included except those for whom resuscitation was not attempted and those babies <25 + 0 weeks for whom it was unsuccessful. Trends in resuscitation were demonstrated using Loess regression. RESULTS: Of 618,589 eligible newborns,182,260 received any resuscitation manoeuvre (29.5%). The proportion receiving oxygen without assisted ventilation declined from 19.3% in 2007-08 to 5.6% in 2016-17. Upper airway suctioning also decreased. Assisted ventilation increased from 7.9% to 10.0% of all babies with the largest contribution from late preterm and term babies. The rate of endotracheal suctioning for meconium and the rate of narcotic antagonist use also declined. A greater proportion of babies received chest compressions (1.9-3.2 per 1000 babies) and adrenaline (epinephrine). Mortality decreased from 1.9 to 1.5 per 1000 babies in the cohort. CONCLUSION: Ten-year trends showed reduced use of oxygen or upper airway suctioning without assisted ventilation, reduced intubation to suction meconium, reduced use of narcotic antagonists and greater use of assisted ventilation suggesting appropriate practice change in response to Australian neonatal resuscitation guidelines. The increase in the use of chest compressions and adrenaline was unexpected and the reasons for it are unclear.

Epidemiological models for predicting Ross River virus in Australia: A systematic review.

Ross River virus (RRV) is the most common and widespread arbovirus in Australia. Epidemiological models of RRV increase understanding of RRV transmission and help provide early warning of outbreaks to reduce incidence. However, RRV predictive models have not been systematically reviewed, analysed, and compared. The hypothesis of this systematic review was that summarising the epidemiological models applied to predict RRV disease and analysing model performance could elucidate drivers of RRV incidence and transmission patterns. We performed a systematic literature search in PubMed, EMBASE, Web of Science, Cochrane Library, and Scopus for studies of RRV using population-based data, incorporating at least one epidemiological model and analysing the association between exposures and RRV disease. Forty-three articles, all of high or medium quality, were included. Twenty-two (51.2%) used generalised linear models and 11 (25.6%) used time-series models. Climate and weather data were used in 27 (62.8%) and mosquito abundance or related data were used in 14 (32.6%) articles as model covariates. A total of 140 models were included across the articles. Rainfall (69 models, 49.3%), temperature (66, 47.1%) and tide height (45, 32.1%) were the three most commonly used exposures. Ten (23.3%) studies published data related to model performance. This review summarises current knowledge of RRV modelling and reveals a research gap in comparing predictive methods. To improve predictive accuracy, new methods for forecasting, such as non-linear mixed models and machine learning approaches, warrant investigation.