How to use data analysis to help target interventions

Veronika Javorova, FIS and Systems ManagerDaro Clark, Business Analyst

TF PROGRAMME – PHASE 1 (2012-2015)Troubled families are those that have problems and cause problems to the community around them, putting high costs on the public sector. The government committed to help 120,000 troubled families in England turn their lives around:•get children back into school•reduce youth crime and anti-social behaviour•put adults on a path back to work•reduce the high costs these families place on the public sector each year

Lambeth’s target of turning around 1080 families achieved.

TF EXPANDED PROGRAMME (2015-2020)Retained the first programme’s focus on families with multiple high cost problems and also includes families with a broader range of problems:-Parents or children involved in crime or anti-social behaviour-Children who have not been attending school regularly-Children who need help: children of all ages, who need help, are identified as in need or are subject to a Child Protection Plan-Adults out of work or at risk of financial exclusion or young people at risk of worklessness-Families affected by domestic violence and abuse-Parents or children with a range of health problems

To be eligible for the programme, each family must have at least two of the six problems

TF EXPANDED PROGRAMME (2015-2020) Lambeth commitments:•To engage 3670 families over 5 years•To demonstrate significant and sustained improvement or continuous employment for payment by results •To integrate and transform local public services, evidenced through participation in the programme’s National Impact Study, the submission of Family Progress Data and completion of the programme’s Costs Savings Calculator.

Principles for engagement- There is an assessment that takes into account the needs of the whole family; - There is an action plan that takes account of all (relevant) family members; - There is a lead worker for the family- The objectives in the family action plan are aligned to those in TF Outcomes plan.

WHAT IS A TF FAMILY?- Each family must be made of at least two individuals - All eligible families must include dependent children - Meet at least two of the six headline problems - A family can be living across multiple addresses, with some restrictions

for identification

Translating concept to reality using own datasources can be tricky:– lack of systems references (property refs, person ids)– non-time bound data (eg. only date of registration)– conflicting data between sourcesLambeth’s approach uses “extended” and “core” approaches

Identification of TF - data sources Worklessness/financial exclusion

– Benefits data– NEET and Intended destinations (IYSS) – Arrears – council tax and rent

Attendance– School attendance– Exclusions from school – Youth NEET (under 16s)

ASB/crime– Contacts and Referrals (Mosaic)– YOS offences– Police call outs – Uniform– Gang matrix – Northgate ASB

Domestic violence – Merlins (Mosaic) – Northgate – Police call outs – Children’s centre data (Synergy)

Children needing help – CIN, CPP and CLA (Mosaic)– Contacts and Referrals (Mosaic)

Health problems – Mental health – CAF, Northgate– Substance abuse – CAF, Northgate– Children’s centre data (Synergy)

DATA WAREHOUSE

•Identification - datasources - person matching - householding •Troubled Families App•Business Intelligence reports

KEY CHALLENGES

– Using data to tell you • Who is who?• At what time?• Living with who?

– What data is most trustworthy?

LEGALITY OF SHARING

Local authority relying upon:

s17 of the s115 of the Crime and Disorder Act 1998 (POLICE, LA, HEALTH)Children Act 1989 (SCHOOLS)Well-being powers in the Local Government Act 1972 or 2000General power of competence – s1 Localism Act 2011Data Protection Act 1998Fair Processing Notice

For the identification, and for contributing to the National Impact Study.

Once we’ve offered assistance, consent sought…

IDENTIFICATION OF TF - DATA SOURCES Workless or Financial

Exclusion

Attendanc

e Crime or

Asb Children in

Need Domestic Violence Health No. of people in database

No. of records

Housing Benefits X           129,344

3,932,298

Council Housing X   X       86,012

114,521

Council Tax X           276,524

26,515,109

Children's Centres X     X   X 162,088

163,936

Children's Social Services X X X X X X

171,649 174,199

NEETs X           1,802

3,326

Youth Offending Service     X     X 

1,737

7,942

Gangs Matrix     X       296

462

Police     X   X    14,258

21,717

Environmental Complaints     X      

1,093

9,375

School Attendance   X         41,919

110,387

Total             886,722

31,053,272

TF DATABASE: SIMPLIFIED IMPORT PROCESS….

Staging

space

Data sources

Fuzzy matching

Person table

Manual matching

TF Outputs

Household

grouping

TF database: The actual process….(!)

TF WEB TOOL

• User friendly tool to access information held on SQL database

• Summarises:– Household criteria met– Individual family members and their meeting of criteria– PBR claims– Professional involvement summary

PERSON SEARCH

SEARCH RESULTS

SEARCH RESULTS- YOS

ATTENDANCE BREAKDOWN

SOCIAL CARE RECORDS

TF DASHBOARD

TF DASHBOARD - FILTERED

SERVICE OVERLAPS

SERVICE OVERLAPS – YOUTH OFFENDERS

SERVICE OVERLAPS – MULTI SERVICE

BENEFITS OF DATA DRIVEN APPROACH - 1

Ease of report generation National Impact Study Family Performance Data

Pseudo-Master Data ManagementAllows the aggregation of demographics from multiple sources to improve “single view” of citizen

Provides each contributing service area an ability to profile their user base

BENEFITS OF DATA DRIVEN APPROACH - 2

A powerful source for data analytics: What services have the greatest overlaps in users? What are the features of families on the cusp of intensive (TF) involvement Reduces the risk of over-counting through duplication when performing needs assessment Understand the potential causal impacts of one area’s decision on other

A rich source of intelligence for individual intervention Gang members and youth club use

DATA CHALLENGE

How would you use this data to help:

• Targeting of services• Improve service delivery• Deliver Early Help or preventative services• Reduce demand or costs• Improve joint delivery or partnership working

DATASETS AND THEMESDemographics

Disability and health issues Age Gender Ethnicity Housing type Household composition No. of children

Service use Customer centre visits, channel

use Payment types and history Adult social care packages Children’s social services Repairs types and history Children’s Centres Library use

Community safety Youth Offending ASB Environmental Services Fire call outs Police call outs Complaints data

Working status Income Length of employment Benefits claimed

OthersWhat else would be useful?