Case Study - OutsideClinic

We worked with OutsideClinic to identify wellbeing/mental health need within their organisations and provide solutions to improve wellbeing:

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Benefits of need based modelling for the organisation:

1. Build preventative approach to mental health 

2. Gap analysis for interventions

3. Informed procurement decisions

4. Embed measurement and evaluation

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Benefits of improving wellbeing for individuals, increases in:

1. Motivation and tools to reach individual potential 

2. Contribution to people and place 

3. Resilience 

4. Confidence

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And decreases in: 

1. Overall anxiety 

2. Workplace anxiety

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Background

Only 15% of the UK report themselves to be thriving, which can be quantified as high wellbeing on clinical scales.

Our work shows a direct correlation between wellbeing and contribution. The higher your wellbeing, the less time you spend managing the signs of emotional distress, which in turn can be re-directed into reaching personal potential and increasing contribution to the people and place around you.

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After 4 years of research with King’s College London, evidenced based evaluation with Public Health England and pilots with the NHS, employers and the third sector - we are using our knowledge to analyse trends and patterns, within individuals, to profile need.  

In turn, we cluster individuals into need-based groupings to provide a set of principles for creating a common language, shared decision making, collective responsibility, proactive prevention and promotion, partnership working and clear measurement and evaluation. 

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Needs based clusters:

1. Thriving - individuals who current need is to maintain mental wellbeing through effective prevention, validation and promotion strategies

2. Managing - individuals who need advice and signposting 

3. Struggling - Those who need focused goals-based input

4. Concern - Those who have not benefitted from or are unable to use help, but are of such a risk that they are still in contact with services

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Method

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We distributed an online, anonymised, 15 minutes survey across the total workplace population, which achieved an an 80% take up. 

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Top-line Insights - example, actual results have been changed 

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Breakdown of total surveyed population by need based profile. 

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All results can be split by demographic; department, age, gender, as long as annyonmity is maintained

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