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Adult Psychiatric Morbidity Survey Mental Health Services Monthly Bulletins Prescription Cost Analysis Data and HSCIC prescription publications ONS bulletins – especially suicide registrations PHE Fingertips FOI requests to local authorities. Key sources of data, and how we use it.
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Adult Psychiatric Morbidity Survey Mental Health Services Monthly Bulletins Prescription Cost Analysis Data and HSCIC prescription publications ONS bulletins – especially suicide registrations PHE Fingertips FOI requests to local authorities Key sources of data, and how we use it
“Understanding how quickly people are able to access services, what sort of care they are receiving and what outcomes they are experiencing is vital to good care. Consistent and reliable data in mental health, however still lags behind other areas of health. There is good information available, but it is not co-ordinated or analysed usefully.” A “black hole” of data? Source – The Five Year Forward View for Mental HealthMental HealthTask Force, 2016
Patchy data on under 18s (though expanded data set is helping here) Difficult to cut data by demographic? Data that is made available is more about services than people Data can be difficult to interpret for charities and community groups – how to bring it to life? Specific gaps in Mind’s understanding
1. How well is my GP looking after my physical health needs? 2. What is the likelihood of getting access to the right psychological therapies, and what is the outcome if I do? 3. Am I more or less likely than average to be prescribed anti-depressants? 4. How well am I supported to live well with my condition? Case study: Getting the Message on Mental Health
“Living a Long Life” - http://rsa.org.uk/mentalheath - simple interactive online tool that translates “data” into “meaningful information” Engagement with people with lived experience of mental health problems Raised awareness amongst targeSt users of importance of routine physical health checks Key project outcomes
Questions What helped in thecontext of “living a long life” to turn quality-assured data into tangible public mental health information? How might that be replicated as a working practice?