Which Heart Failure Intervention Is Most Cost Effective In Reducing Hospital Care (WHICH? II) Trial: A Multicentre, Randomised Trial Of Standard Versus Intensified Management Of Metropolitan And Regional-dwelling Patients With Heart Failure
Funder
National Health and Medical Research Council
Funding Amount
$1,891,210.00
Summary
Chronic heart failure (CHF) management programs are now the gold-standard to cost-effectively care for thousands of Australians hospitalised with CHF each year. We’ve shown that home-based management is most cost-effective in reducing hospital stay in CHF. The Which Intervention is most Cost-effective in reducing Hospital care (WHICH? II) Trial, a multicentre, randomised study, will determine if more intensive care (via home visits and remote care contacts) further improves poor outcomes in CHF.
Examining The Impact Of Language Reclamation On Social And Emotional Well Being Among The Barngarla
Funder
National Health and Medical Research Council
Funding Amount
$1,111,633.00
Summary
Indigenous Australians are at high risk of experiencing mental illness. For many, it is the loss of land, culture, and identity that are causes of ill health. The Barngarla people of South Australia seek to reclaim their language due to its potential reinvigorating cultural identity and wellbeing. This offers a unique opportunity to document the links between language reclamation and wellness in Aboriginal people for the first time.
Pregnancy And Neonatal Diabetes Outcomes In Remote Australia (PANDORA) Cohort
Funder
National Health and Medical Research Council
Funding Amount
$2,395,410.00
Summary
The PANDORA study is a longitudinal birth cohort study recruited from a clinical register of Northern Territory women with diabetes in pregnancy (DIP). We will also recruit a comparator group of mothers without DIP and babies. Follow-up of mothers and infants to 3 years post-delivery will be from medical records, questionnaires and clinical assessment. Rates of progression to type 2 diabetes will be assessed among mothers, and growth, feeding patterns and diabetes risk markers among infants.