Transcript Slide 1

Describing health baselines
Session 6
Health in SEA
Baselines
Population
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Total numbers
Age and sex structure
Ethnic composition
Occupation
Most complete data for Census years
Population estimates and projections
Available for ONS
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Health baselines
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What you would like to know
Deaths
Hospital admissions
Hospital outpatients
GP attendances
Self treated illness
Untreated symptoms
Biochemical risk factors
Determinants of health
As they effect
different subgroups
in the population
Lifestyle
Determinants of health
What you would like to know
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Smoking
Alcohol
Physical activity
Eating patterns
Body weight
Illicit drug use
Sexual behaviour
Environment
Determinants of health
What you would like to know
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Unemployment
Benefit claims
Poverty
Crime rates
Car ownership
Community cohesion
• Housing quality
• Air Quality
Health baselines
Sources of information
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Death records
Cancer registries
Hospital inpatients (HES)
GP activity (QOF)
Congenital malformation registers
Synthetic estimates & models
Local surveys
Health baselines .
Where to access information
Resources
• Health profiles
• Compendium (Clinical and Health Outcomes Knowledge
Database)
• National Indicator set
People /organisations
• Public Health Observatories
• Primary Care Trust (DPH, public health)
See Background Information for Session 6 & 7
National Indicators
Health 1
• NI39 Rate of hospital admissions for alcohol related
harm
• NI47 People killed or seriously injured in RTA
• NI48 Children killed or seriously injured in RTA
• NI55 Obesity in primary school children - reception year
• NI56 Obesity in primary school children – year 6
• NI70 Hospital admissions caused by injuries to children
and young people
National Indicators
Health 2
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NI112 Under 18 conception rate
NI113 Prevalence of chlamydia in under 25 year olds
NI120 All age all cause mortality rate
NI121 Mortality rate from all circulatory disease (age
under 75)
• NI122 Mortality rate from all cancers (age under 75)
• NI137 Healthy life expectancy at age 65
Health baselines
Some problems
• Averages for large areas will conceal small
areas of good/bad health
• Averages over long time periods will mask
trends
• Confidence intervals of rates for rare events
will be wide
• Confidence intervals of rates for small areas
will be wide
Vulnerable groups
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Very old (residential homes)
Very young (schools)
Ill people (hospitals)
People with specific conditions
– respiratory disease, cardiac disease, mobility
disorders, etc., etc.
• Disadvantaged people
– Unemployed, low income, no car, single parent,
etc., etc.
• Ethnic minorities