Predicting Australian adults at high risk of cardiovascular disease mortality using standard risk factors and machine learning
Effective cardiovascular disease (CVD) prevention relies on timely identification and intervention for individuals at risk. Conventional formula-based techniques have been demonstrated to over-or under-predict the risk of CVD in the Australian population. This study assessed the ability of machine learning models to predict CVD mortality risk in the Australian population and compare performance with the...
Changes in tobacco use patterns during COVID-19 and their correlates among older adults in Bangladesh
The present study explored the changes in tobacco use patterns during the COVID-19 pandemic and their correlates among older adults in Bangladesh. This cross-sectional study was conducted among 1032 older adults aged ≥60 years in Bangladesh through telephone interviews in October 2020. Participants’ characteristics and COVID-19-related information were gathered using a pretested semi-structured questionnaire. Participants...
Anxiety and sleep disturbances among health care workers during the COVID-19 pandemic in India: cross-sectional online survey
Care coordination for vulnerable families in the Sydney local health district: what works for whom, under what circumstances, and why?
Healthy Homes and Neighbourhoods (HHAN), an integrated care programme in the Sydney Local Health District (SLHD), seeks to address the needs of disadvantaged families through care coordination, as one of its components. This research aims to determine for whom, when and why the care coordination component of HHAN works, and establish the reported outcomes for...