Health Inequalities
CCG Governing Board Presentation 14/11/2019 Dr Rashmi Sawhney Clinical Director - Health Inequalities
Health Inequalities CCG Governing Board Presentation 14/11/2019 Dr - - PowerPoint PPT Presentation
Health Inequalities CCG Governing Board Presentation 14/11/2019 Dr Rashmi Sawhney Clinical Director - Health Inequalities Index Context What are Health Inequalities Buckinghamshire Patient stories Portfolio work Gaps
CCG Governing Board Presentation 14/11/2019 Dr Rashmi Sawhney Clinical Director - Health Inequalities
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Health inequalities are avoidable differences in health across the population, and between different groups within society. Health inequalities arise because of the conditions in which we are born, grow, live, work and age. These conditions influence our opportunities for good health, and how we think, feel and act, and this shapes
Action on health inequalities requires improving the lives
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Variables
Socio-economic/ Deprivation
e.g., low income, unemployed/ deprived areas
Equality and diversity e.g.
age, sex, race
Inclusion health e.g. homeless
people; Gypsy, Roma and Travellers; Sex Workers; vulnerable migrants
Geography e.g. urban,
rural.
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IMD 2019 for PCN, GP Practices and Bucks CCG
Variation in Life expectancy in Buckinghamshire Population
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Life Expectancy in Buckinghamshire Women 84.8 Men 81.8 Life Expectancy in England Women 83.1 Men 79.6
Babies born in poorer wards have a shorter life span than those born in affluent wards
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Babies born in poorer wards have a shorter life span than those born in affluent wards
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PCNs with significantly lower life expectancy at birth for persons
are BMW, Maple, Dashwood and South Bucks
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People from most deprived areas have higher emergency admissions for all causes
BMW, Dashwood, Maple and South Bucks are significantly higher (compared to Bucks and England) for emergency all-cause admissions rates. Cygnet is similar to Bucks and England for emergency all-cause admissions rates. All other PCNs are lower than England and Bucks.
Mental health admissions – working age
Health Inequalities in Buckinghamshire
Mental health admissions – older age
Health Inequalities in Buckinghamshire
long term conditions than the least deprived
15 years earlier in deprived areas
mental illness, learning disabilities and those from BAME ethnicity
mortality
looked after
multi-morbidity
adult mental health, self harm alcohol misuse, heart disease, stroke, respiratory , falls
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Maternity
SMI
Physical health checks : Target: 60%;
LD & Autism
Rough Sleepers
Carers
Gambling
Increased accessibility to specialist clinics for serious gamblers
Partnerships - 3rd Sector
Encourage innovation and new ways of working to address inequalities
Workforce
deprived populations
health support teams in schools in deprived areas
experience between the Black and minority ethnic (BAME) & white communities
management in our deprived and BAME communities
recurrent exacerbations of asthma and attending A&E
mental health, drug and alcohol issues, chaotic access to services and poor outcomes: Pilots locally have been useful for support
struggling to cope
up issues with diagnosis, cultural barriers to accepting a diagnosis of dementia and a review of services available: this led to the project : Raising awareness of dementia in BAME communities
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alls and nd fr frail ailty ty – Elderly patients – paramedic to continue- 5 days a week for 22 weeks based on demand
Mental ntal Heal Health th – SCAS and OHFT to get people to the Whiteleaf Centre rather than A&E
Pregnancy, smoking and low birth weight
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% of low birth weight (<2500g), all births, by deprivation quintile (DQ1 to DQ5*) in Bucks, 2014
Live Well Stay Well provides universal support to all smokers but targets their work to groups with higher rates of smoking (for example: routine and manual workers, areas of higher deprivation and people with a mental health condition) There is a smoking in pregnancy task and finish group, with BHT, working to ensure that pregnant women are encouraged to access stop smoking support and quit
Smoking is the single biggest cause of the difference in mortality rates between the least and most deprived populations. It accounts more than half of the difference in risk of premature death between social classes.
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conditions
expected Dec 2019
group meetings
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84.21% 80.97% 80.58% 79.03% 76.37% 75.60% 75.48% 72.97% 70.35% 69.79% 62.90% 56.00% 89.21% 85.97% 85.58% 84.03% 81.37% 80.60% 80.48% 77.97% 75.35% 74.79% 67.90% 61.00% 0% 20% 40% 60% 80% 100%
% Patients with Ethnicity Coding
Target: 5% Increase
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Groups event
achievement and the way forward
inequalities
PCNs to address inequalities
together: agree ICP inequalities priorities
and learning
Interest and follow on work