Neil Hamlet's presentation in the "Effective Health Interventions for Homeless People - Building Bridges Across Sectors" workshop at the FEANTSA Annual European Policy Conference on the 10th of June 2016
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Data Matching: Understanding the Impact of Homelessness on Health Services
1. Presentation Title
Speaker’s name
Presentation title
Speaker’s
name
Data matching:
understanding the
impact of homelessness
on health services
Neil Hamlet – Consultant, Public Health Medicine, NHS Fife
- Lead for Homelessness, NHS Health Scotland
neil.hamlet@nhs.net @Neil_Hamlet
2. Multiple Exclusion Homelessness is the
visible, deeply damaged and vulnerable tip of
the health inequality iceberg.
Below the waterline lie all the social,
environmental and behavioural drivers and
transition points for prevention and early
intervention.
The Inequality Iceberg
6. -
200
400
600
800
1,000
1,200
1,400
2006 2007 2008 2009 2010 2011 2012 2013 2006 2007 2008 2009 2010 2011 2012 2013
HL1 Fife (Aged 15 - 64)
A&E Attendance Rate per 1,000 Population
Attendances at two Fife Acute Hospitals
Male
Female
The impact of homelessness on
health care – proving the case
‘Insecurely Housed’ ‘Securely Housed’
7. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
HL1Fife(Aged15-64) Referral From Distribution of A&E Attendances; 2013
Source who referred patient to A&E department
Emergency Services GP Other Hospital Self Referral NHS24
Abuse ?
Pragmatic ?
£££
8. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
HL1Fife Age Distribution of A&E Attendances; 2013
Age of patients attending A&E
Under 15 15 to 19 20 to 29 30 to 39 40 to 49 50 to 64 65+
Over 50% are under 30 yrs
Over 80% are under 40 yrs
9. -
50
100
150
200
250
300
2006 2007 2008 2009 2010 2011 2012 2013 2006 2007 2008 2009 2010 2011 2012 2013
HL1 Fife (Aged 15 - 64)
Emergency Admission Rate per 1,000 Population
Patients admitted to hospital as an emergency
10. -
50
100
150
200
250
2006 2007 2008 2009 2010 2011 2012 2013 2006 2007 2008 2009 2010 2011 2012 2013
HL1 Fife (Aged 15 - 64)
Patient Multiple Attendance Rate per 1,000 Population
Patients who have attended A&E more than once within specified year
Male Female
‘Insecurely Housed’ ‘Securely Housed’
The
Frequent
FliersCriers
11. -
5
10
15
20
25
30
35
40
2006 2007 2008 2009 2010 2011 2012 2013 2006 2007 2008 2009 2010 2011 2012 2013
HL1 Fife (Aged 15 - 64)
Multiple Emergency Admission Rate per 1,000 Population
Patients who have been admitted as an emergency more than once in specified year
Revolving
Hospital
Door effect
12. 0%
5%
10%
15%
20%
25%
30%
-
15
30
45
60
75
90
2006 2007 2008 2009 2010 2011 2012 2013 2006 2007 2008 2009 2010 2011 2012 2013
HL1 Fife (Aged 15 - 64)
%ofAdmissions
Rateper1,000Population Alcohol-related Admissions rate per 1,000 and % of Admissions
Admissions with diagnosis related to alcohol based on ISD definition
%
Rate
10 fold
difference
13. 0%
5%
10%
15%
20%
25%
30%
35%
40%
2006 2007 2008 2009 2010 2011 2012 2013 2006 2007 2008 2009 2010 2011 2012 2013
HL1 Fife (Aged 15 - 64)
% New Outpatient Appointments DNA
New appointments who Did Not Attend
(excludes cancellations by hospital or patient)
•Changed address
•Fearful to open official mail
•Appointment too early
•No money for the bus
•It won’t do any good’
Access / Expectation