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About the solution
Ben had been kicked out of his university when he was 19. That meant that he would have no place to stay.
However, the family wasn’t aware of Ben’s stress. Not only Ben kept this secret, but also Bristol University, where the boy studied, didn’t pick picked up on various clues as to Ben’s mental health problems.
James contacted the school and asked them what data that had on Ben, as he thinks that should have been a way for the university to be more aware of Ben’s state. The father identified several factors which, although simple, are more worrying when considered together. Simple facts like Ben’s entry to the university through clearing, to more obvious clues: he was struggling academically, not attending lectures, and had reported health concerns. But on one from Bristol University warned the family. “There seems to have been a lot of concern about what was going on, but no clear escalation or suggested interventions, including ‘why don’t you go to support services?”, he wondered.
This led him to develop a data tool that can be used to warn universities of mental illness or struggling students by looking for patterns across all data, rather than just isolated responses from different departments.
This system is being tested at Northumbria University, which helped James with the development. The tool gives an overview of whether students are paying rent, attending lectures, handing in essays or checking books out of libraries — and could trigger help rather than penalties.
He is working on this project with universities from the UK.
Adapted from: https://bit.ly/2HuUu5b
This solution shall not include mention to the use of drugs, chemicals or biologicals (including food); invasive devices; offensive, commercial or inherently dangerous content. This solution was not medically validated. Proceed with caution! If you have any doubts, please consult with a health professional.
DISCLAIMER: This story was written by someone who is not the author of the solution, therefore please be advised that, although it was written with the utmost respect for the innovation and the innovator, there can be some incorrect statements. If you find any errors please contact the patient Innovation team via info@patient-innovation.com
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Mood Watch – mobile app that empowers people who suffer from mood disorders
Bipolar disorder
Anxiety disorder
Depression
Borderline personality disorder
Post-traumatic stress disorder
Bipolar disorders
Bipolar I disorder
Bipolar II disorder
Manic and bipolar mood disorders and disturbances
Schizoaffective disorder bipolar type
Adjustment disorder with depressed mood
Adjustment disorder with mixed anxiety and depressed mood
Agitated depression
Depression postoperative
Depressed mood
Major depression
Brain
Mobile app
Anxiety
Stress
SLEEP FUNCTION: Resting
CAREGIVING
Bipolar Disorder
App (Including when connected with wearable)
Depressed mood
Difficulty concentrating or making decisions
Irritability or anger outbursts
Loss of interest or pleasure in activities (anhedonia)
Racing thoughts
Sleep disturbances (insomnia or excessive sleep)
Promoting self-management
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Psychiatry
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Agitated depression
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Adjustment disorder with mixed anxiety and depressed mood
Childhood depression
Depressed mood
Depressed mood disorders and disturbances
Depression
Depression postoperative
Depressive disorders
Major depression
Anxiety disorder
Brain
Software
CAREGIVING
Depressive Disorders (Major Depression, Childhood Depression, Postpartum Depression)
Videogame
Depressed mood
Enhancing Mental Health
Psychiatry
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Bipolar disorder
Depression
Obsessive-compulsive disorder
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COMMUNICATION: Communicating, whether by speaking, listening, or other means
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Confusion
Social withdrawal or isolation
Obsessive thoughts or compulsive behaviors
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