A Cluster RCT Of A Novel Psychological Intervention To Reduce Depression Among At-risk Older Adults Transitioning To Residential Aged Care
Funder
National Health and Medical Research Council
Funding Amount
$893,152.00
Summary
Depression is common in aged care facilities, with many older adults finding the transition extremely difficult. We have developed a simple intervention to help new residents, including those with dementia, to adjust to life in aged care. This program focuses on key aspects of psychological wellbeing, and is designed for widespread use in aged care. We will evaluate the intervention to determine if it is superior to current care approaches in reducing depression and improving quality of life.
Organizational Change And Treatment Of Depression And Dementia In Aged Care Facilities
Funder
National Health and Medical Research Council
Funding Amount
$567,052.00
Summary
Mental health disorders are common in aged care settings. However, these problems are not well managed. This situation results in distress for residents and family members, as well as high levels of burnout and turnover among staff. This project will address the organizational barriers with the aim of better managing and treating depression and behavioural problems associated with dementia.
Ketamine Therapy Among Patients With Treatment-resistant Depression: A Randomised, Double-blind, Placebo-controlled Trial
Funder
National Health and Medical Research Council
Funding Amount
$2,069,382.00
Summary
In the last decade, there have been reports of powerful antidepressant effects after a single injection of anaesthetic ketamine, with dramatic (though shortlasting) effects within 24 hours. This will be the first controlled study to test whether a course of repeated ketamine treatments, given over 4 weeks, is effective and safe in treating depression.
A Dimensional Approach To Mapping The Risk Mechanisms Of Mental Illness
Funder
National Health and Medical Research Council
Funding Amount
$1,677,975.00
Summary
There is ongoing debate about whether current definitions of mental disorders are accurate. We will use statistical techniques to identify the core dimensions of liability for mental illness, and map how genes and brain organization drive differences between people along each dimension.