Life is a risky business but there are many ways to explore risk especially in relation to mental health problems. There is no ultimate risk assessment but there are many tools to gain a greater understanding to recognise changes in people when you may be experiencing difficulty with their well-being. This is not just about psychiatric labels/diagnostic categories or what medication people should be on but to understand systems interconnectness. Having a basic understanding of dissonance theory where we get stuck in our own thinking. Daniel Kahneman’s work on the, thinking fast and slow systems of the brain shines a light on the darker understanding of the missing pieces of the jigsaw puzzle of human nature. These fascinating areas will be touched upon during the workshop.
The course will be illuminated (rightly or wrongly) with real case examples which are sometimes shocking, but one of the greatest predictors of the future behaviour, is past behaviour. Phil’s will act the serious case scenarios as a teaching tool and brings the subject matter alive through intriguing and enlightening communication. (which is full on serious and scary). The course design and underlying structure can be slightly altered for beginners or existing mental health professionals who might need a thorough refresher. It is been estimated by the World Health Organisation by the year 2020 the second biggest problem we will face is going to be depression. Depression amplifies many problems for individuals, so it really is a good idea to tool yourself up ready, to get a greater understanding of recognising the features and good treatment protocols. This is not pathological advertising, two for the price of one, this is true and it is coming down the line, so organisations need to be aware because of the massive cost implications. This is a prediction made based on the amazing information overload we face on a daily basis, taking in more information in a single day than our great grandparents took in, during their entire lifetime! (That’s an example of good risk assessment, based on good reliable information gathered from many different sources and systems).