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Novel method to select meaningful outcomes for evaluation in clinical trialsA standardised framework for selecting outcomes for evaluation in trials has been proposed by the Core Outcome Measures in Effectiveness Trials working group. However, this method does not specify how to ensure that the outcomes that are selected are causally related to the disease and the health intervention being studied. Causal network diagrams may help researchers identify outcomes that are both clinically meaningful and likely to be causally dependent on the intervention, and endpoints that are, in turn, causally dependent on those outcomes.
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Antifungal prescribing in neonates: Using national point prevalence survey data from AustraliaWe describe contemporary antifungal use in neonates, with point-prevalence survey data from the National Antimicrobial Prescribing Survey across Australian hospitals from 2014 to 2018.
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Spatio-temporal patterns of childhood pneumonia in Bhutan: a Bayesian analysisPneumonia is one of the top 10 diseases by morbidity in Bhutan. This study aimed to investigate the spatial and temporal trends and risk factors of childhood pneumonia in Bhutan.
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Clinical predictors of severe dengue: a systematic review and meta-analysisSevere dengue is a life-threatening complication; rapid identification of these cases, followed by adequate management is crucial to improve the clinical prognosis. Therefore, this study aimed to identify risk factors and predictors of severe dengue.
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Pneumo-BNA: Using Bayesian network models to facilitate a microbiological diagnosis in childhood pneumonia: development of a clinical decision support toolChristopher Peter Tom Blyth Richmond Snelling MBBS (Hons) DCH FRACP FRCPA PhD MBBS MRCP(UK) FRACP BMBS DTMH GDipClinEpid PhD FRACP Centre Head,
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Associate Professor Lea-Ann KirkhamCo-Head, Bacterial Respiratory Infectious Disease Group; Microbiology Lead, Wesfarmers Centre of Vaccines & Infectious Diseases
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Mapping tuberculosis prevalence in Ethiopia using geospatial meta-analysis\Reliable and detailed data on the prevalence of tuberculosis (TB) with sub-national estimates are scarce in Ethiopia. We address this knowledge gap by spatially predicting the national, sub-national and local prevalence of TB, and identifying drivers of TB prevalence across the country.
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Protocol for a systematic review of long-term physical sequelae and financial burden of multidrug-resistant and extensively drug-resistant tuberculosisMultidrug resistant (MDR) and extensively drug-resistant (XDR) tuberculosis (TB) are major public health threats that are significant causes of physical sequelae and financial consequences for infected people. Treatment for MDR- and XDR-TB are more toxic and take longer duration than for drug-susceptible-TB. As a result, the long-term sequelae are thought to be more common among patients with MDR- and XDR-TB than drug-susceptible-TB, but this is yet to be quantified.
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Short-course, high-dose primaquine regimens for the treatment of liver-stage vivax malaria in childrenTo assess the pharmacokinetics, safety, and tolerability of two high-dose, short-course primaquine (PQ) regimens compared with standard care in children with Plasmodium vivax infections.
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Nudging towards COVID-19 and influenza vaccination uptake in medically at-risk children: EPIC study protocol of randomised controlled trials in Australian paediatric outpatient clinicsChildren with chronic medical diseases are at an unacceptable risk of hospitalisation and death from influenza and SARS-CoV-2 infections. Over the past two decades, behavioural scientists have learnt how to design non-coercive 'nudge' interventions to encourage positive health behaviours. Our study aims to evaluate the impact of multicomponent nudge interventions on the uptake of COVID-19 and influenza vaccines in medically at-risk children.