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Role of viral and bacterial pathogens in causing pneumonia among Western Australian children: A case-control study protocol

We aim to determine the contribute of bacteria and virus to childhood CAP to inform further development of effective strategies.

Probabilistic linkage of national immunisation and state-based health records for a cohort of 1.9 million births to evaluate Australia’s childhood immunisation program

To describe the process for assembling a linked study that will enable the conduct of population-based studies related to immunisation and immunisation policy.

Comprehending the Health Informatics Spectrum: Grappling with System Entropy and Advancing Quality Clinical Research

We outline three scenarios from across the health spectrum where issues with health informatics are exemplified.

Vaccine decision-making begins in pregnancy: Correlation between vaccine concerns, intentions and maternal vaccination with subsequent childhood vaccine uptake

Amongst pregnant Australian women we aimed to ascertain vaccine information received, maternal immunisation uptake and attitudes and concerns regarding vaccines

Vaccine hesitancy, refusal and access barriers: The need for clarity in terminology

We propose more precision in the term 'vaccine hesitancy' is needed particularly since much under-vaccination arises from factors related to access

Nurses are underutilised in antimicrobial stewardship - Results of a multisite survey in paediatric and adult hospitals

Nurses consider antimicrobial stewardship activities within their roles, but are underutilised in antimicrobial stewardship programs

among children with pneumonia using a causal Bayesian network

Pneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.

BEAT CF pulmonary exacerbations core protocol for evaluating the management of pulmonary exacerbations in people with cystic fibrosis

Cystic fibrosis (CF) is a rare, inherited, life-limiting condition predominantly affecting the lungs, for which there is no cure. The disease is characterized by recurrent pulmonary exacerbations (PEx), which are thought to drive progressive lung damage. Management of these episodes is complex and generally involves multiple interventions targeting different aspects of disease. The emergence of innovative trials and use of Bayesian statistical methods has created renewed opportunities for studying heterogeneous populations in rare diseases.

Core protocol for the adaptive Platform Trial In COVID-19 Vaccine priming and BOOsting (PICOBOO)

The need for coronavirus 2019 (COVID-19) vaccination in different age groups and populations is a subject of great uncertainty and an ongoing global debate. Critical knowledge gaps regarding COVID-19 vaccination include the duration of protection offered by different priming and booster vaccination regimens in different populations, including homologous or heterologous schedules.

Patient-reported outcome measures for paediatric acute lower respiratory infection studies

Patient-reported outcome measures (PROMs) are recommended for capturing meaningful outcomes in clinical trials. The use of PROMs for children with acute lower respiratory infections (ALRIs) has not been systematically reported. We aimed to identify and characterise patient-reported outcomes and PROMs used in paediatric ALRI studies and summarise their measurement properties.