Si Chun Lam presents – Research in practice: Using evidence to inform public policy in Coventry: Presentation to the Institute of Local Government Studies (INLOGOV), University of Birmingham, 21 November 2019.
3. CoventryCityCouncil
Growth – Reform – Enable
“Questioning, influencing and
providing understanding to
make life better in Coventry”Growth – Reform – Enable
“Questioning, influencing and
providing understanding to
make life better in Coventry.”
5. Multiplecomplexneeds:whatwewantedtofindout
Council: social care, tax & benefits
Coventry and Warwickshire
Partnership
NHS Trust
University Hospital
Coventry and Warwickshire
NHS Trust
West Midlands Ambulance Service
NHS Foundation Trust
Coventry and Rugby
Clinical Commissioning Group
Health: hospitals, GPs, mental health
Probation
Housing and homelessness
Police, fire and regional groups
Voluntary sector and multi-agency advice and support
Substance misuse
Behaving as a system
6. People being supported by NPS Midlands (Coventry)
Current cases on OASys end-September 2016
The most common characteristic is
age
26-34
gender
male
ethnicity
white
british
39% 95% 69%
0
10
20
30
40
50
18 - 20 21 - 25 26 - 34 35 - 49 50 - 64 65+
Female Male
69%
4%
3%
3%
2%
2%
2%
1%
1%
1%
1%
12%
White British
Black African
Mixed White/Black…
White Other
White Irish
Asian Indian
Asian Chinese
Asian Other
Black Other
Black Caribbean
Mixed Other
Not stated
Characteristics
Coventry Multiple Complex Needs
n=120
People being supported by NPS Midlands (Coventry)
Current cases on OASys end-September 2016
Offending-related risks
Risk of serious harm
2%
57%
42%
Low
Medium
High
OASys General reoffending Predictor (OGP) score
47%
36%
14%
3% Very High
Low
Medium
High
Coventry Multiple Complex Needs
n=120
People being supported by NPS Midlands (Coventry)
Current cases on OASys end-September 2016
Offending-related needs
Number of need categories per person
2
7
17
20
24
16
21
11
2
2
3
4
5
6
7
8
9
10
The most common needs are…
needs
six
category
thinking &
behaviour
20% 99%
thinking & behaviour 119
Frequency of needs
lifestyle&associations103
attitudes91
relationships83
alcoholmisuse77
emotionalwellbeing67
accommodation54
financial
management&
income54
drugmisuse53
EET*35
*employment, training & education
Grouped need categories
social & family (100%)
health & physical (94%)
financial & housing (71%)
employment & education (29%)
Criminogenic needs are identified from a criminogenic needs assessment. For instance, a criminogenic need of
“relationships” are identified and scored if close personal relationships ( ie with family or partners) generate
difficulties/conflict that contribute to that individuals risk of harm or risk of reoffending.
Coventry Multiple Complex Needs
n=120
People being supported by SWM Community Rehabilitation Company in Coventry
Current cases on OASys December 2016
Offending-related needs
Coventry Multiple Complex Needs
n=1,657
1534
1142
585
502
475
426
423
347
306
227
Thinking and behaviour
Attitudes
Lifestyle and associations
Relationships
Employment/training/educ…
Alcohol misuse
Financial management &…
Drug misuse
Emotional wellbeing
Accommodation
89 93
488
369
160 177 123 72 58 23 5
0 1 2 3 4 5 6 7 8 9 10
The most common needs are…
needs
two
category
thinking &
behaviour
29% 93%
Number of need categories per person
Frequency of needs
Criminogenic needs are identified from a criminogenic needs assessment. For instance, a criminogenic need of
“relationships” are identified and scored if close personal relationships ( ie with family or partners) generate
difficulties/conflict that contribute to that individuals risk of harm or risk of reoffending.
People being supported by SWM Community Rehabilitation Company in Coventry
Current cases on OASys December 2016
Characteristics
Coventry Multiple Complex Needs
n=1,657
The most common characteristic is
age
26-49
gender
male
ethnicity
white
british
68% 86% 48%
0
200
400
600
800
1000
18 - 20 21 - 25 26 - 49 50 - 64 65 +
Female Male
796
57
52
52
47
37
29
28
23
13
11
8
7
6
3
1
151
336
White British
White Other
Asian Indian
Asian Chinese
Black African
Black Caribbean
Mixed White/Black…
Asian Other
Asian Pakistani
Black Other
White Irish
Mixed White/Asian
Asian Bangladeshi
Mixed White/Black African
Mixed Other
White Gypsy/Traveller
Not stated
Not recorded
Low
18%
Medium
45%
High
1%
Unknown
36%
People being supported by SWM Community Rehabilitation Company in Coventry
Current cases on OASys December 2016
Offending-related risks
Risk of serious harm
Coventry Multiple Complex Needs
n=1,657
OASys General reoffending Predictor (OGP) score
Low
29%
Medium
17%High
7%
Very
High
2%
Unknown
45%
Coventry repeat demand data from West Midlands Police
Incidents recorded and police call-outs in September 2016
Incidents and call-outs
Coventry Multiple Complex Needs
n=7,030
20.35
Citywide
7.61
Wainbody
10.27
Whoberley
30.26
Henley
40.93
St. Michaels
31.23
Foleshill
3.41
Upper Stoke
1.60
Wainbody
1.81
Earlsdon
3.83
Foleshill
5.24
Henley
4.49
Binley & W’hall
2.23
Bablake
3.05
Citywide
5.38
St. Michaels
Incidents Recorded crimes
(rate per 1,000 population) (rate per 1,000 population)
Coventry repeat demand data from West Midlands Police
Incidents recorded and police call-outs in September 2016
Frequent callers
Coventry Multiple Complex Needs
n=7,0300
5
10
15
20
25
30
5,372
incidentswithphonenumbers
4,036
uniquephonenumbers
1.24
incidentsperphonenumber
76%
(4,330 includingwithheld numbers)
🏠54 calls from four
residential numbers
ASB + mental
health
37 calls from
Council monitoring
unit and parking
services
🚍16 calls from
National Express
garage (mostly
ASB)
⛽11 calls about
bilking at ASDA, 38
total petrol station
calls
👦28 calls from two
children’s homes
(mostly missing
kids)
📕10 calls from a
special school
(abscondingkids)
52 numbers responsible for five or more calls
totalling 419 calls
12 numbers responsible for ten or more calls
totalling 177 calls
14.75 incidentsper
phonenumber
8.06 incidentsper
phonenumber
Coventry repeat demand data from West Midlands Police
Incidents recorded and police call-outs in September 2016
Frequent locations
Coventry Multiple Complex Needs
n=7,030
Kasbah Nightclub (12)
Swanswell Street (22)
Caludon Centre (14)
Salvation Army (22)
St Nicholas Street (16)
Vincent Wyles House (18)
Henley Road (10)
Ricoh Arena (15)
Tesco(10)
Beaconsfield Road (13)
B&Q (13)
Longford Park (13)
Sainsbury’s (12)
Co-op (12)
Caradoc Hall (16)
Signals Drive (20)
Stoney Stanton Road (10)
Kirkdale Ave (10)
We cannot share that – data sharing
agreements which will take a year
Patient confidentiality and research ethics
approval for interviews
✔" Anonymised data
✔" Timelines / stories ✔" Service specifications
✔" Case studies and working with
experts by experience
Multiplecomplexneeds:whatwedid
Characteristics
Deep dive
Lived experiences
Frontline staff
📋$%
🏊'(
💁
Behaving as a system
8. Performance hub
Engagement
platform
Data platform
citywide intelligence hub
CitywideIntelligenceHub:whatwewantedtoachieve
Low
High
Making use of what we know
High
Datacollectedaboutindividuals
🛂
💷
Privacy controls and
democratic accountability
Bringing it all together
10. CitywideIntelligenceHub:whatwewantedtoachieve
“Single source of truth”
Health and wellbeing
JSNA
DPH Annual Report
Cultural profiles
City of Culture Trust
Council Plan
performance report
& performance reporting
Housing and
homelessness
Headline
statistics
Social care
e.g. market
position
statement
Bringing it all together
11. CitywideIntelligenceHub:whatwedid
Health and
wellbeing (JSNA)
collection plan
Data collection plan ImportThemes
Identify all the indicators we want to collect –
and where they’re coming from (data
sources)
Culture collection
plan
Housing and
homelessness
collection plan
Assign themes and sub-categories to each
data item
Set up import routines to import the
data into the data warehouse
Bringing it all together
12. CitywideIntelligenceHub:whatwedid
Data sources
csv & json
files
via APIs
Power BI
! A data model that allows us to store indicator data over any bespoke space and time:
as long as an indicator has a geographical and time dimension, it will fit in this data model.
Values
Indicators
(Metrics)
Periods
Geographies
(Areas)
Data warehouse
Themes
look-up
table
Shapes
look-up
table
Extract
Transform
Load (ETL)
routine to change
data to correct
format
Import
routine
with
refresh
period
Bringing it all together
18. Thankyou!
Si Chun Lam
Insight Development Manager
Coventry City Council
www.coventry.gov.uk/infoandstats/
www.coventry.gov.uk/jsna/
SiChun.Lam@coventry.gov.uk