Evaluation Of Internet-based, Cognitive Behaviour Therapy For The Treatment Of Anxiety Disorders In Adolescents
Funder
National Health and Medical Research Council
Funding Amount
$570,750.00
Summary
Anxiety disorders affect around 5-10% of adolescents and are associated with a range of adverse consequences if left untreated. The majority of young people with anxiety disorders do not seek nor receive treatment. This may be due partly to the perceived stigma of attending a mental health clinic and logistic problems of attending therapy. A challenge is to identify ways in which treatment can be made more accessible to adolescents in need, particularly those in rural and remote areas. Contrary ....Anxiety disorders affect around 5-10% of adolescents and are associated with a range of adverse consequences if left untreated. The majority of young people with anxiety disorders do not seek nor receive treatment. This may be due partly to the perceived stigma of attending a mental health clinic and logistic problems of attending therapy. A challenge is to identify ways in which treatment can be made more accessible to adolescents in need, particularly those in rural and remote areas. Contrary to original beliefs, evidence shows that the internet can be used to deliver effective psychological therapies for a range of mental health problems, including anxiety disorders. So far this research has focused on adults, but adolescents may be in a particularly strong position to benefit from these forms of therapy, being experienced users of internet resources. This research investigates the effectiveness of internet-based cognitive-behaviour therapy (CBT) in the treatment for anxiety disorders in adolescents. Recently we have piloted CBT for anxious children that combines clinic and internet therapy, with half the therapy sessions in the clinic and half over the internet. Pilot data show that clinic + internet therapy produced significant reductions in anxiety and is almost as effective full clinic-based therapy. The proposed research builds on our pilot work by evaluating the effectiveness of a more extensive internet-based therapy in which all sessions are completed using the internet and with an older age group. The research also examines the factors that predict which young people will respond most positively to the intervention so that the treatment can be matched to those most likely to benefit from it in the future. The aim is to develop an effective internet-based treatment for adolescents with anxiety disorders that is easily accessed and suitable for use in rural and remote populations, requiring minimal face-to-face therapist contact.Read moreRead less
Reducing Childbirth Related Fear And Preference For Caesarean Section: A RCT Of A Midwife-led Psycho-education Intervention (APRIME)
Funder
National Health and Medical Research Council
Funding Amount
$487,116.00
Summary
In 2008 34% of mothers had a caesarean section in Queensland. Women who are fearful are more likely to want and have a surgical delivery. We will recruit and train midwives to provide counselling and education about birth choices to fearful women during pregnancy. Our program (APRIME) enables women to work through fearful elements of childbirth, review their expectations/ experiences and develop a realistic plan. We predict that women receiving APRIME will report less fear and prefer a normal bi ....In 2008 34% of mothers had a caesarean section in Queensland. Women who are fearful are more likely to want and have a surgical delivery. We will recruit and train midwives to provide counselling and education about birth choices to fearful women during pregnancy. Our program (APRIME) enables women to work through fearful elements of childbirth, review their expectations/ experiences and develop a realistic plan. We predict that women receiving APRIME will report less fear and prefer a normal birth.Read moreRead less
Elucidating the genetics of attention deficit hyperactivity disorder by integrating pathway and prediction analyses. Attention deficit hyperactivity disorder (ADHD) is the most common psychiatric disorder in children; while treatments are available they are ineffective for many patients. This project will develop methods for predicting genetic effects at the level of the biological mechanism to assist in identifying new drug targets and behavioural interventions.