WELCOME Applying Wellbeing Data 23 rd November 2011.

WELCOME

Applying Wellbeing Data

23rd November 2011

Applying Wellbeing data: Knowsley’s approach

Richard HolfordPublic Health Development Manager

Joint Strategic Needs Assessment (JSNA)

• Wellbeing identified as one of 34 high level needs.

• Dedicated technical framework / raised profile

• Identified gaps in knowledge, understanding and provision

• Clear recommendations for commissioners

Joint Strategic Asset Assessment (JSAA)

• Early stages but have been looking at ways wellbeing can be included in this.

• Major limitation / issue – not robust to draw down on a locality level.

The contribution of wellbeing to life expectancy:

Narrowing the gap in inequalities

What we know it isn’t

• Mental well being (WEMWBS)

• Rates of relative poverty

• More likely to smoke

• More likely to be active

• More likely to be unemployed or in a household with head unemployed

• Less likely to join sports, religious of education clubs

What we know it could be

• Less likely to be a harmful drinker• Highest likelihood of feeling you belong in your

local area• Second highest satisfaction with local area as a

place to live• High assessment of being safe in home at night• Highest assessment of being safe outdoors in

the day (low; safe outdoors at night)• Highest likelihood of talking regularly to

neighbours• High likelihood of being able to find help in a

crisis or if ill

Good guesses

• Higher level of community cohesion (families, neighbourhoods)

• Higher level of access to services

• Improvements in primary care over the period (from low start)

• Large numbers engaged in prevention services

• Integration of health and social care

What next?

• Social networks – building community capacity and social growth

• Protect integration

• Mass participation in prevention – community led

• Access to services – QIPP

• Research causes - proposal

Applying wellbeing data in Sefton

Pat Nicholl

Deputy Head of Health Improvement

Sefton Wellbeing Survey

• 500 face-to-face interviews• April–June 2009• Computer Assisted Personal

Interviewing• Validated scale – WEMWBS + 44 other

questions

Warwick and Edinburgh Mental Wellbeing Score (WEMWBS)

0%

2%

4%

6%

8%

10%

12%

14%

7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35WEMWBS score

Low wellbeing (16.8%)

Moderate wellbeing (62.8%)High

wellbeing(20.4%)

Mean score (27.70)

Sefton mean = 27.6 NW mean score = 27.7

Warwick and Edinburgh Mental Wellbeing Score (WEMWBS)NW Wellbeing Survey 2009, Sefton

0%

2%

4%

6%

8%

10%

12%

14%

16%

10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35

Score (5 to 35)

Males Females

Low Wellbeing (8.6%)

High Wellbeing(9.7%)

Moderate Wellbeing

Mental Wellbeing distribution

• More people in Sefton had moderate wellbeing than rest of NW • Gender – in Sefton men were significantly more likely to have

high mental wellbeing• Age – proportion of high mental wellbeing decreased as age

increased• Deprivation – mental wellbeing reduces as deprivation

increases.• Ethnicity – lower amongst white than non-white within Regional

dataset, not significant in Sefton

8.4% 82% 9.7%

Health Behaviours

• Physical activity74% not meeting target. Those with high mental wellbeing were 9 times more likely to meet target

• Smoking22% said they currently smoke and 23% were ex-smokers. Those with high mental wellbeing significantly more likely to be ex-smokers. Men were more likely to smoke than women and those aged 25-39 yrs

• AlcoholNo significant difference in relation to wellbeing. 6% were hazardous and 3% harmful drinkers. This data is out of line with other public health data on alcohol and reflects the common issue of self-reporting on this topic

Linking public health intelligence

• Lifestyle Expectancy females in deprived quintiles dipped 2008 & static 2009-10

• Liverpool Heart & Chest NHS Trust social marketing programme

• CVD research by Claro on women’s attitudes

Comparing data sources

WEMWBS scores (short 7 question)

Low Moderate High

Lifestyle Survey 201029.5 67.3 3.2

Citizens Panel 201029.9 63.8 6.3

Citizens Panel 200728.1 67.4 4.5

NW Survey – Sefton8.6 81.7 9.7

NW Well Being Survey16.8 62.8 20.4

Look After Yourself

• Target population- women 40-60 in Bootle• Engagement & consultation-wellbeing

insight• Proposal: programme based on 5 ways• Engage existing community groups • Improve wellbeing scores, CVD risk,

awareness and prevention

• 6 community events targeting 300 women • Health checks• Holistic therapies • Five Ways & wellbeing advice

Health Check Results

• 157 health checks• 38% were referred to GP or other lifestyle

agency • 28% had increased CVD risk• 48% had raised blood glucose• 66% were overweight or obese• 32% had a medium or high alcohol risk• 29% were smokers.

Five Ways Pledges

• Connect- 80% pledged to connect & improve relationships

• Be Active –walking most popular pledge

• Take Notice- appreciate nature

• Keep Learning- cookery course

• Give- most popular –’me time

• Over 50% achieved connect

• 50% achieved the walking pledge

• Over 50% achieved take notice and 30% enjoyed time to themselves

• 20% had signed up to a course in September 2011

• 66% had given to others and 20% made donations to charity

Mental Wellbeing & Health Behaviours

• Follow-up wemweb & lifestyle survey• Wemweb before 24.7 After 25.2• Shift from 3.5 to 6.1% with higher wellbeing• 30% noticed improvement in mental wellbeing• Diet & physical activity of over 66% improved• 20% improved smoking habits• Alcohol unchanged

Next steps

• Sefton Sanctuary Phase 2 Feedback to participants

• Creativity & Five Ways

• Mid-life wellness programme

Mid-life health behaviours

Eastern Southport

Crosby, Thornton, Lydiate

Bootle, Seaforth, Litherland

All 40-59s

Current smokers 18.0% 8.2% 30.5% 16.6%

Self Assessed Health – Bad or Very Bad 5.7% 9.3% 10.9% 9.2%

Mental well being – below average 33.4% 37.9% 43.1% 35.8%

Alcohol – consuming more than recommended weekly allowance

17.0% 27.1% 30.2% 23.5%

Alcohol – binge drinking 28.0% 37.7% 42.2% 37.7%

BMI – overweight 35.4% 38.3% 34.5% 38.2%

BMI – obese 19.2% 19.8% 28.7% 24.1%

Physical Activity – meeting CMO 5*30 65.3% 61.2% 64.8% 65.6%

5 a day 62.0% 62.8% 43.5% 56.4%

Applying Wellbeing Data

CHAMPS23rd November 2011

Tom Hennell Senior Public Health Analyst

Department of Health North [email protected]

0776 803 04630161 625 7452

mailto:[email protected]

ONS Programme: Measuring National Wellbeing

• Discussion paper on domains and measures – 31st October 2011.– Response to national debate and research– Consultation until 23rd January 2012.

• Sets out domains (aspects of wellbeing)• Proposes headline measures of national

wellbeing.

National Wellbeing Framework• Surveyed self-assessed individual wellbeing central to

understanding national wellbeing.

• Self-assessed wellbeing needs to be understood in terms of a series of individual and reciprocal factors that directly affect it:– Health, relationships, finance, education, work, household

• This complex of individual and reciprocal factors is to be understood as relating to social factors within contextual domains; – Equality, Fairness and Sustainability

• (Attempts to satisfy both those who seek a psychometric wellbeing measure, and those who regard fairness and sustainability and as irreducible wellbeing determinants)

Proposed Domains• Individual self assessed wellbeing

– Life satisfaction, sense of purpose, positive and negative emotions

• Factors directly affecting individual wellbeing– Our relationships (family, friends and community)– Health (subjective and objective measures)– What we do (work and leisure)– Where we live (housing and neighbourhood)– Personal finance (income and wealth, both absolute and distribution)– Education and Skills (lifelong stock of human capital)

• More Contextual Domains– Governance (democracy and trust)– The economy (economic output and stock)– The natural environment (climate change and sustainability)

Four experimental questions(asked in ONS Opinions Survey 2011)

• 'Overall, how satisfied are you with your life nowadays?

• Overall, how happy did you feel yesterday?

• Overall, how anxious did you feel yesterday?

• Overall, to what extent do you feel the things you do in your life are worthwhile?'

North West Public Health Observatory Centre for Public HealthLiverpool John Moores UniversityLiverpoolL3 2ET

Latest segmentation and insight analysis

Clare Perkins and Ian JarmanAcknowledgements: Helen Carlin, Simon Chambers , Lynn Deacon and Jude Stansfield


Content• Introduction• Survey and further analyses

- Profiles of wellbeing, what influences wellbeing, employment and resilience, and focus on ethnicity

• Profiles of wellbeing• Influences on wellbeing• Employment and resilience• Themes


Introduction

• A successful society is one in which people have high levels of wellbeing which is sustained over time. Therefore maintaining and improving wellbeing in the future is important. 2

• Analysis undertaken of the wellbeing survey - segmentation based on persons responses - generate insight into the influences on wellbeing

2 New Economics Foundation (2011). Measuring our Progress. The Power of Wellbeing.

London: NEF.


North West wellbeing survey

• Sample 18,500 residents• random selection of LSOA’s within PCT boundary,

random selection of households within LSOA, person over 16 in household by next birthday.

• minimum of 500 per PCT, 18 PCTs bought at least one sample of at least 500

• Face-to-face interviews: March–June 2009


•Developed to measure positive mental health

•The survey users a shorter seven question version

•Validated scale – WEMWBS (7 item)

I’ve been able to make up my own mind about thingsI’ve been able to make up my own mind about thingsI’ve been feeling close to other peopleI’ve been feeling close to other people

I’ve been thinking clearlyI’ve been thinking clearlyI’ve been dealing with problems wellI’ve been dealing with problems well

I’ve been feeling relaxedI’ve been feeling relaxedI’ve been feeling usefulI’ve been feeling useful

I’ve been feeling optimistic about the futureI’ve been feeling optimistic about the future

Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS)


Segmentation analysis

“The aim of any segmentation should be to define a small number of groups so that: all members of a

particular group are as similar to each other as possible, and they are as different from the other

groups as possible”.1

1 Association of Public Health Observatories (2009). Technical Briefing 5 Geodemographic Segmentation [Online]. Available at: www.apho.org.uk/resource/item.aspx?RID=67914


Cluster and segmentation analysis


Working Age, Struggling


Working Age, Comfortable


Multiple Challenges


Retired, Thriving


Segment observations• Clear differences between groups in terms of - Age - their perceived financial situation - Health - Wellbeing - level of deprivation in which they live

Health behaviours

• Those having the lowest levels of wellbeing are more likely to drink at harmful levels

• Groups with higher wellbeing tend to have more people who demonstrate an ability to change their health behaviour, such as giving up smoking

• Retired, Coping and Retired, Thriving both have older age profiles, yet the health of those in Retired, Coping is far worse

Segmentation insights

• a starting point for understanding differences between groups of people

• highlights groups of factors that may be indicative of a high risk of poor wellbeing and may assist in targeting interventions

• Changes in factors that influence wellbeing suggest the transitory nature of people between groups

Influences on wellbeing

• State-of-the-art statistical techniques to investigate relationships between all questions in the survey

• Produces a ‘mind map’– visualising all the inter-relationships between

survey questions

• Aids understanding to what factors influence respondents’ wellbeing scores

Influences: ‘mind map’

First level influence on wellbeing

• Explanation

Influence of money on wellbeing

Money

• Nearly half the people with low mental wellbeing had been worried about money almost all the time or quite often over the last few weeks– 2.4 times the proportion of those with high mental

wellbeing.

• Adults with high level of mental wellbeing were 1.5 times more likely to be able to ask for help from others than adults with a low level of mental wellbeing (86.2% compared with 55.9%).

Influence of sedentary time

Sedentary time

• Enough time to do enjoyable things. • related to whether people have responsibility

for caring for somebody.– Care! due to the small number of carers in the

sample. • Care needs to be taken in interpreting

sedentary activity– related to age– and age is also related to household economic

type, having time to do enjoyable things and caring for someone

Influence of life satisfaction

Life satisfaction

• Health: strong influence on life satisfaction– 79.6% satisfied with life have very good or good

health

• gay/lesbian/bisexual tend to score lower– numbers are small, treat result with caution

• Those satisfied with life, more likely to feel satisfied with their local area

• Those living comfortably or coping on present income: more likely to be satisfied with life

Employment and wellbeing, health and health behaviours

Health question – less than good health (EQ5D) % of employed % unemployed

How good is your health in general? Fair, bad or very bad14.6 31.1

Mobility: some problems walking about or confined to bed*5.6 12.6

Self care: problems with, or unable to, wash and dress self*0.8 1.8

Some problems with, or unable to, perform usual activities*5.5 12.5

Moderate or extreme pain or discomfort*16.7 23.3

Moderate or extreme anxiety / depression*10.6 20.4

Health behaviours % of employed % of unemployed

Hazardous drinker 13.6 12.4

Harmful drinker 2.7 5.9

Current smoker 27.4 55.5

Ex-smoker 20.6 10.3

Meet physical activity target 35.0 32.3

Cannabis use - ever used 12.0 14.6

Cannabis use last 30 days 2.1 10.8

Differences in health behaviours of the employed and unemployed North West, 2009

Differences in perceived health between employed and unemployed: less than good health North West, 2009.

Wellbeing components (felt often or all the time) % of employed % of unemployed

I've been feeling optimistic about the future 58.5 46.1

I've been feeling useful 73.7 54.3

I've been feeling relaxed 64.4 55.2

I've been dealing with problems well 75.6 64.1

I've been thinking clearly 80.5 69.8

I've been feeling close to other people 78.3 64.5

I've been able to make up my own mind on things 85.3 76.7

Employment and wellbeing - wellbeing

Proportions of employed and unemployed people who responded positively to the wellbeing questions, North West, 2009

Wellbeing of the employed, by deprivation (IMD 2007) North West 2009

Wellbeing, employment and area deprivation

Wellbeing, unemployment and area deprivation

Unemployed by level of wellbeing and deprivation (IMD 2007) North West, 2009

Well-being and redundancy

Wellbeing by change in employment status in last 12 months, North West, 2009.

Household employment status

Individual employment status

Mean wellbeing score

Sample size

Employed Employed 28.33 7,871

Employed unemployed 28.03 2,011

Unemployed unemployed 26.01 1,155

Employed Redundancy-employed 28.49 179

Employed Redundancy-unemployed 28.04 146

Unemployed Redundancy-unemployed 26.58 145

Wellbeing, redundancy and householdemployment status

Redundancy and ‘social connectedness’

Percentage of people with below average wellbeing by redundancy status and social contact North West, 2009

Employment

• Adults with higher mental wellbeing significantly more likely to be in employment

• Redundancy has a negative impact on wellbeing• Economic status of households is important in

determining wellbeing• Significant proportion of those in employment

have health and wellbeing issues• Important implications for both unemployment

and employment policy

Conclusions

• Many factors influence wellbeing• Many inter-connections between factors• Interventions and policies should therefore

consider the wide range of influences• Developing holistic approaches may be prove

more successful• The analysis supports the development of

integrated wellness services and multi-sector health and wellbeing strategies.

WELCOME Applying Wellbeing Data 23 rd November 2011.

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Transcript of WELCOME Applying Wellbeing Data 23 rd November 2011.