NOMS.Co-Financing.Programme: Overview and Emerging Findings

1. NEON Conference 13 October 2011 NOMS Co-Financing Programme: Overview and emerging findings Bill Spiby NOMS CFO Lead Manager (Corporate)

2. Delivery Model • Split into two phases • Phase 1: Jan 2010 – Dec 2011 • Phase 2: Jan 2011 – Dec 2014 • 2011 transition year • Case management model • Delivered through CATS • Link to Offender Management arrangements • 70:30 community/custody split • Support mechanisms to include mentoring, social enterprise and Discretionary Access Fund • Ex-service personnel to make up 4% of cohort • Focus on the ‘hardest-to-help’

3. Offender Target Group DWP… Unqualified, unskilled and unemployed Skilled, qualified but unemployed SFA… Unskilled, unqualified, de-motivated, drugs / alcohol issues, behavioural issues, debt problems, accommodation problems. NOMS CFO Hard to help group who are currently not able to access mainstream provision, and are therefore unable to return to the labour market

4. Hard-to-Help Groups • North East – Lifers • North West/Merseyside - Women with low-level mental health needs • Yorkshire & Humber - Islamist extremists/sex offenders • South Yorkshire - Sex offenders • East Midlands - Dual Diagnosis Offenders/female sex workers • West Midlands - Travellers/show people • East of England - Female sex workers • South East - Offenders with dependent families (particularly 18-24s) • London – Veterans/young people involved in gang activity/prisoners released following sentences served abroad • South West - Young offenders transitioning into the adult justice system • Cornwall – link to SW sub-group participants

5. NOMS CFOin numbers project overview demographics 40,896 participants started so far 1 in 4 participants are non white-British 4434 employment outcomes claimed 30 years old on average at time of starting 223 of which were for NEETs 1 in 8 female participants 8356 hard education/training outcomes 1742 veterans 224,526 soft outcomes achieved 1818 aged 50 or over on starting assessed needs 59% have used illegal drugs 16,806 did not complete their formal school education 1 in 3 have outstanding debts or fines 1 in 3 would consider self employment 1269 are carers for a friend or relative 72% do not have a valid, current driving licence 1 in 9 have mental health problems 3061 have problems using numbers

6. Insights So Far… • Two topics covered today: • What support makes a difference to participant’s likelihood of gaining employment? • Assessing a participant’s journey while on the project • All data has been collected from the CATS database. • All analysis is based on participants who have had their record closed - 25,691 individuals to date, unless otherwise stated. • Where appropriate, statistical adjustments have been made to control for regional variation between providers.

7. Likelihood of Gaining Employment less likely more likely men women female participants were40% odds the participant will gain employment odds the participant will gain employment 8 to 1 12 to 1 less likelyto gain employment than male participants white-British non white-British non white-British participants were18% odds the participant will gain employment odds the participant will gain employment 8 to 1 9 to 1 less likelyto gain employment than white-British participants remained in region moved from region participants who moved area were2.6 x odds the participant will gain employment odds the participant will gain employment 8 to 1 22 to 1 less likelyto gain employment than those who remained in one region

8. self presentation achieved by 251 participants 5.4X more likely to later gain employment motivational training achieved by 2856 participants 4.8X more likely to later gain employment interview skills achieved by 1091 participants 3.5X more likely to later gain employment work placement or taster achieved by 448 participants 6.3X more likely to later gain employment childcare/dependent guidance achieved by 1749 participants NO more likely to later gain employment transport advice achieved by 339 participants 4.8X more likely to later gain employment signposting to I.T. training achieved by 44 participants 3.3X more likely to later gain employment access counselling services achieved by 181 participants NO more likely to later gain employment Do Soft Outcomes Increase the Likelihood of Gaining Employment? just as likely to gain employment much more likely to gain employment 1x 2x 5x DAF not contracted mentoring number of participants gaining outcome: hard ETE ed/train interview secured motivation 25 other 100 qualifications non-accredited courses 500 1000 employability signposting (referrals) advice 5000

9. Does ethnicity have an effect with regard to gaining benefit from a soft outcome? Comparing non white-British (NWB) participants to the rest of the cohort (white- British (WB)) less beneficial more likely to achieve NWB more likely to achieve than WB more beneficial more likely to achieve awareness of community based services mock interviews more beneficial for WB than NWB, towards gaining employment people skills more beneficial for NWB than WB, towards gaining employment motivation training health awareness debt management less beneficial less likely to achieve more beneficial less likely to achieve WB more likely to achieve than NWB

10. How Does the Positive ‘Effect’ of a Soft Outcome Vary between Genders? Comparing female participants to the rest of the cohort (male participants) less beneficial more likely to achieve women more likely to achieve than men more beneficial more likely to achieve application process self presentation access counselling service access community based services signposting to benefit advice mentoring more beneficial for men than women, towards gaining employment more beneficial for women than men, towards gaining employment disclosure advice DAF less beneficial less likely to achieve more beneficial less likely to achieve men more likely to achieve than women

11. Quick Recap • Evidence shows that soft outcomes are clearly beneficial towards aiding a participant to gain employment. • Some outcomes are more beneficial than others. • Some outcomes are more beneficial for specific groups. • More analysis needs to be done: • How do outcomes interact with each other? • How effective is the assessment process? • To what extent do individual barriers prevent soft outcomes from being beneficial? • Which soft outcomes should we be contracting for?

12. Assessing the Participant’s Journey What Happens When? action plan created motivation changed note added outcome - advice % % % % start end start end start end start end outcome - DAF outcome - employability outcome – interview secured outcome - signposting % % % % start end start end start end start end outcome - mentoring outcome - qualification education or training employment % % % % start end start end start end start end

13. Social Enterprise – provider comments from Interim Reports: • “Partner referring agencies need to improve internal communications and systems and engage properly” • “Poor risk assessment / risk sharing limits commercial activity” • “Poor offender selection / matching to project leads to unreliable work force to detriment of business” • “Projects that are part of wider organisation benefit from scale economies”

14. Positive messages from interim reports: • Social Enterprise based interventions have a positive effect on offenders • Compliance increases and attitude improves • Engagement, confidence and employability improve • Real work environment and mixed peer groups have positive effect • A number of projects (including Paint It in Nottingham) report offenders returning as volunteers post order • Early indications of positive ETE outcomes for participants as a result of engagement with social enterprises

15. In summary • Early evidence indicates that social enterprises can achieve positive, cost effective results • Can be sustainable, but funding/subsidy in some cases may need to taper over more than 1 year • Strong on social aims, less so in terms of commercial enterprise • Need a strong and effective relationship with referring agencies - mutually supportive partnership • Commercial settings have positive impact on offenders