evaluationofthe*cook*county state’s*attorney’s*office* deferred ... of dpp final ppt... ·...

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Evaluation of the Cook County State’s Attorney’s Office Deferred Prosecution Program Presentation at ICJIA May 13 2015 Christine George, John Orwat, Don Stemen, Julie Hilvers, Jennifer Cossyleon, and Eddie Chong

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Page 1: Evaluationofthe*Cook*County State’s*Attorney’s*Office* Deferred ... of DPP Final PPT... · •Roughly*1,700*individuals*have*passed*through*DPP*since* implementation*(Feb*2011^Feb*2015)*

Evaluation  of  the  Cook  County  State’s  Attorney’s  Office  

Deferred  Prosecution  Program    Presentation  at  ICJIA  

May  13  2015  

Christine  George,  John  Orwat,  Don  Stemen,                                                                                              Julie  Hilvers,  Jennifer  Cossyleon,  and  Eddie  Chong  

 

Page 2: Evaluationofthe*Cook*County State’s*Attorney’s*Office* Deferred ... of DPP Final PPT... · •Roughly*1,700*individuals*have*passed*through*DPP*since* implementation*(Feb*2011^Feb*2015)*

Deferred  Prosecution  Program  (DPP)  Evaluation  

• Purpose  of  the  Evaluation  (Began  January  2013)  • Best  practices  for  replication  • SB3349,  Offender  Initiative  Program    

• DPP  in  Cook  County  as  innovator  • Contribute  to  literature  

Page 3: Evaluationofthe*Cook*County State’s*Attorney’s*Office* Deferred ... of DPP Final PPT... · •Roughly*1,700*individuals*have*passed*through*DPP*since* implementation*(Feb*2011^Feb*2015)*

Methodology  Evaluation  Approach  

• Loyola  Interdisciplinary  research  team:  Center  for  Urban  Research  and  Learning,  Criminal  Justice  Dept.,  Social  Work  Dept.    

• Participatory  evaluation    

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Methodology  Key  Research  Areas  

• Based  on  Detailed  RFP,  with  specific  research  questions:    • Development  of  DPP  

• Operation  and  Service  Delivery  of  DPP  

• Outcomes  and  Impacts  of  DPP  

 

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Methodology  Data  Collection  Procedures  

• Mixed  methodology    

• Qualitative  data  •  Participant  observation  •  Interviews  (both  individual  and  group)  •  Program  documents    • Quantitative  data  •  Participant  data    from  SAO,  Pre-­‐trial  Services  and  TASC  •  Criminal  History  Record  Information  (CHRI)  •  Court  data  Cook  County  Clerk’s  Office  

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•  Program  staff,  stakeholders  and  participants  

•  Administrative  data  (SAO,  DPP  staff)  

•  Case  management  data  (Pre-­‐Trial  and  TASC,  Cook  County  Clerk  of  Court)  

•  Criminal  history  data  (  Illinois  State  Police  Database,  accessed  via  ICJIA).  

•  CHRI  data  (used  to  track  recidivism  of  DPP  sample  and  comparison)  

•  CC  Clerk’s  office  court  data    

Methodology  Select  Data  Sources  

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• DPP  Incorporated  and  Supported  within  the  Operations  of  States  Attorney’s  Office  •  Buy-­‐in  •  Internal  dissemination  of  program  process  and  goals  •  Added  to  the  routine  assessments  of  cases  by  an  ASA  prior  to  preliminary  

hearing  

• Strong  Collaboration  and  Team  Work  •  between  SAO,  Judge,  Pre-­‐trial  Services  

• Flexibility  of  Program  Design  

Findings  Development/Implementation  of  DPP  

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Findings  Development/Implementation  of  DPP  

• Modest  program  requirements  -­‐  Goal  of  successful  completion    •  Strong  coordination  

•  Strong  support  of  leadership  •  Key  role  of  director  •  Coordination  of  State  Attorneys,  Judge,  and  Pre-­‐Trial  Services  

•  Fits  into  existing  infrastructure  •  Non-­‐traditional  role  of  stakeholders  

•  States  Attorneys    and  Judge  •  Limited  Role  of  Public  Defenders      

•  At  Preliminary  Hearing  

•  Program  participation    

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Findings  Attitude  Toward  Program—Overall  Uniform  Positive

•  Prosecutors—appreciate  non-­‐traditional  role,  flexibility,  “golden  opportunity,”  but  DPP  involves  small  percentage  of  cases  that  enter  system  

•  Public  Defenders—  “great  program,”  would  like  more  input,  high  restitution,  rotation  of  PD’s,  judge  as  monitor,  victims  dictate  entrance,  expungement  difficulties  for  graduates  

•  Judges—  “second  chance,”  good  diversion    

•  County  officials—  felt  no  input,  lack  of  information  about  model,    felt  served  small  percentage  of  cases,  questioned  waiving  preliminary  hearing,  suggest  Felony  Review  Division  role  in  reviewing  cases  

•  Program  participants-­‐  welcomed  opportunity,  but  raised  some  logistical  issues–  travel  expenses,  time  consuming,  restitution,  expungement  process,  unclear  guidelines    

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Findings  Program  Participation  Patterns  

•  Data  from  DPP  Staff:  •  Number  of  Referrals  –  1,295    

•  Number  Enrolled  –  1,232  (as  of  3/21/14)  

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Findings  Number  of  DPP  Admissions,  by  Month  

0  10  20  30  40  50  60  70  80  90  100  

Mar  201

1  Apr  201

1  May

 201

1  Jun  20

11  

Jul  201

1  Aug

 201

1  Se

p  20

11  

Oct  201

1  Nov

 201

1  Dec

 201

1  Jan  20

12  

Feb  20

12  

Mar  201

2  Apr  201

2  May

 201

2  Jun  20

12  

Jul  201

2  Aug

 201

2  Se

p  20

12  

Oct  201

2  Nov

 201

2  Dec

 201

2  Jan  20

13  

Feb  20

13  

Mar  201

3  Apr  201

3  May

 201

3  

Num

ber  o

f  Adm

ission

s  

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Findings  Number  of  DPP  Admissions,  by  Referral  Court  

0  50  

100  150  200  250  300  350  400  450  500  

Chicago  Branch  

District  2  -­‐  Skokie  

District  3  -­‐  Rolling  

Meadows  

District  4  -­‐  Maywood  

District  5  -­‐  Bridgeview  

District  6  -­‐  Markham  

Num

ber  o

f  Adm

ission

s  

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Findings  Number  of  DPP  Admissions,  by  Offense  

0  

50  

100  

150  

200  

250  

300  Num

ber  o

f  Adm

ission

s  

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Findings  Number  of  DPP  Admissions,  by  Offense  (n=954)  

0%  

20%  

40%  

60%  

80%  

100%  

Chicago  Branch   District  2  -­‐  Skokie  

District  3  -­‐  Rolling  

Meadows  

District  4  -­‐  Maywood  

District  5  -­‐  Bridgeview  

District  6  -­‐  Markham  

Retail  Theft   PSC/Cannabis   Burglary  (N=157)  

(N=145)   (N=95)  (N=466)  

(N=53)   (N=38)  

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209  (23.5%)  participants  did  not  have  a  required  service  need  

Findings  Service  Needs,  as  Assessed  by  Pre-­‐Trial  Services  

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Findings  Number  of  participants  served  by  TASC      according  to  data  maintained  by  TASC          

846  

108  

Not  served  by  TASC  (88.7%)  

Served  by  TASC  (11.3%)  

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Findings  Percent  of  Closed  DPP  Cases  Nolle  Pros  and  Terminated  

68.60%  

31.40%  Nolle  Pros  

Terminated  

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Findings  Percent  of  Closed  DPP  Cases  Nolle  Pros  and  Terminated,  by  Offense  

0%  

20%  

40%  

60%  

80%  

100%  

Burlgary   Retail  Theft   PSC/Cannabis   Theft   Possession  of  Stolen  Vehicle  

Forgery   ID  Theft  

Nolle  Pro   Terminated  

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Findings  Percent  of  Closed  DPP  Cases  Nolle  Pros  and  Terminated,  by  Referral  Court  

0%  

20%  

40%  

60%  

80%  

100%  

Chicago  Branch   District  2  -­‐  Skokie  District  3  -­‐  Rolling  Meadows  

District  4  -­‐  Maywood  

District  5  -­‐  Bridgeview  

District  6  -­‐  Markham  

Nolle  Pro   Terminated  

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• Sample  •  Treatment  group  =  all  DPP  participants  completing  DPP  between  Feb  2011-­‐  

Dec  2012  (n=695)  •  Comparison  group  =  “DPP  eligible”  individuals  not  referred  to  DPP  but  

adjudicated  guilty  in  Cook  County  during  same  time  period  (n=991)    

• Outcome  measures  •  Re-­‐arrest  –  defined  as  any  arrest  or  warrant  for  arrest  within  18  months  of  

entry  to  DPP  (treatment)  or  final  disposition  (comparison)  •  Time  to  re-­‐arrest  •  Re-­‐arrest  was  tracked  for  both  treatment  and  comparison  groups  through  June  

2014  

Methodology  Impact  Analysis  

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• Independent  variable  • Admission  to  DPP  

• Individual  co-­‐variates  • Current  offense,  criminal  history,  race,  sex,  age  

• Analyses  • Binary  logistic  regression  to  examine  effect  of  DPP  on  re-­‐arrest  relative  to  standard  adjudication  

• Cox  proportional  regression  models  to  examine  the  effect  of  DPP  on  time  to  re-­‐arrest  relative  to  standard  adjudication  

Methodology  Impact  Analysis  

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Findings  Re-­‐Arrest  Rates,  Treatment  and  Comparison  Groups  

31.4%   34.6%  

0%  

20%  

40%  

60%  

80%  

100%  

DPP   Comparison  

Percen

t  Re-­‐Arres

ted  

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• No  significant  effect  of  DPP  on  re-­‐arrest    • DPP  participants  were  no  more  or  less  likely  to  recidivate  than  individuals  adjudicated  through  traditional  means  

• Factors  associated  with  re-­‐arrest  • Sex  (male)  • Age  (younger)  • Prior  arrest  • Type  of  charge    

• One  significant  difference:  Older  women  charged  with  theft  less  likely  to  be  re-­‐arrested  

Findings  Impact  Analysis  

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Findings  Effects  of  Predictors  on  Likelihood  of  Re-­‐Arrest  

47.0%  

-­‐3.0%  

13.0%   18.0%  

-­‐20%  

0%  

20%  

40%  

60%  

80%  

100%  

Male   Age   Prior  Misd.   Prior  Fel.  

Percen

t  cha

nge  in  odd

s  

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Findings  Re-­‐Arrest  Rates,  Treatment  and  Comparison  Groups  

37.6%   38.1%  

21.9%  27.8%  

0%  

20%  

40%  

60%  

80%  

100%  

DPP  Men   Comparison  Men   DPP  Women   Comparison  Women  

Percen

t  Re-­‐Arres

ted  

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• No  significant  effect  of  DPP  on  time  to  re-­‐arrest    • DPP  participants  did  not  take  longer  to  recidivate  than  individuals  adjudicated  through  traditional  means  

• Factors  associated  with  time  to  re-­‐arrest  • Sex  (male)  • Age  (younger)  • Prior  arrest  • Type  of  charge  

Findings  Impact  Analysis  

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Findings  Re-­‐Arrest  Rates,  Treatment  and  Comparison  Groups  

18.0%  

77.1%  

34.6%  

0%  

20%  

40%  

60%  

80%  

100%  

DPP  Successful   DPP  Terminated   Comparison  

Percen

t  Re-­‐Arres

ted  

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Findings  Re-­‐Arrest  Rates,  Treatment  and  Comparison  Groups  

30.3%  

53.7%  

34.6%  

0%  

20%  

40%  

60%  

80%  

100%  

DPP  Successful  or  Term.  Due  to  Arrest    

DPP  Terminated   Comparison  

Percen

t  Re-­‐Arres

ted  

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• Uneven  implementation  of  DPP  • “Unclear”  entry  criteria    

•  No  use  of  uniform  screening  tool  

•  Uneven  use  of  discretion  among  State’s  Attorneys      

• Limited  training  of  new  State  Attorneys  

• Pre-­‐Trial  Services  staffing  burden  (e.g.  large  caseloads)    

• Underutilization  of  Public  Defender    

Discussion  DPP  Programmatic  Challenges  I  

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• Participant  Engagement  • Narrow  window  for  decision  

• Limited  information  about  program  requirements  

• Geographic  constraints    • Expungement  Process  

• Limited  communication  • With  criminal  justice  stakeholders/actors    

Discussion  DPP  Programmatic  Challenges  II  

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Discussion  DPP  Successes  

• Leadership,  buy-­‐in  and  collaboration  • Role  of  coordinator/  director  • Implementation  flexibility  and  responses  (DPP  pre-­‐meeting,  phone  check  ins  with  out  of  state  respondents,  re-­‐training  if  SA’s)  

• Low  cost  of  program,  with  caveats    

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• Roughly  1,700  individuals  have  passed  through  DPP  since  implementation  (Feb  2011-­‐Feb  2015)  • Given  estimated  graduation  rates,  roughly  1,300  of  those    individuals  will  successfully  complete  the  program  

•  In  turn,  1,300  individuals  avoid  a  felony  conviction  and  the  associated  collateral  consequences  

•  In  turn,  the  system  avoids  the  formal  adjudication  process  for  these  1,300  individuals  

Discussion  DPP  Successes  

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Research  Limitations  Process  

•  Difficulty  recruiting  private  defense  attorneys  for  interviews  

•  Difficulty  recruiting  DPP  participants  despite  collaboration  with  Pre-­‐Trial  

•  Added  option  for  phone  interview,  recruited  at  weekly  court  calls,  on  site  interview  as  option  

•  Translated  recruitment  mechanisms  for  Spanish  speaking  clients    

•  No  attempt  to  recruit  victims  –  info  not  maintained  in  central  location  (only  in  ASA  case  notes)  

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Research  Limitations    Case  management  and  Impact  

•  Data  provided  little  info  about  program  content,  participation  in  services,  or  participant  demographics  (age,  ethnicity,  race,  employment,  education,  income,  substance  use  history  etc.)  for  thorough  recidivism  analysis    

•  Data  prevented  examination  of  other  outcomes  (  substance  use,  pro-­‐social  activities  etc.)  

•  Findings  are  suggestive  and  remain  limited  in  ability  to  explain  impact  of  DPP  on  participant  outcomes  

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Limitations  Data  Challenges  

•  Current  data  collection  is  limited  on  a  number  of  factors  •  No  data  documenting  State’s  Attorneys  use  of  discretion  with  participant  selection  

•  Don’t  know  the  program  participant  “universe”    •  No  data  documenting  who  does  not  get  into  the  program  

•  No  data  to  directly  explore  whether  non-­‐participants  are  more  likely  to  “fail”  compared  to  DPP  participants    

•  We  don’t  know  which  risk  factors  (or  interventions)    are  more  predictive  with  program  outcomes    

•  Inconsistency  between  Pre-­‐Trial  Services  and  TASC  assessments  •  Limited  demographic  data  to  indicate    which  program  participants  are  likely  to  succeed  

 

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Select  Programmatic  Recommendations       •  Standardize  screening  procedures    

•  Incorporate  DPP  a  part  of  new  SA  initial  training  

•  Keep  monitoring  branch  referrals  

•   Include  additional  services  for  participants    •  Reconsider  adding  expungement  process  as  part  of  program  

•  Possibly  re-­‐evaluate  meeting  requirements  for  compliant  participants  

•  Spread  awareness  about  program  to  Criminal  Justice  Stakeholders  

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Thank  you!!