Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age...

22
1 Evidence Based Practice: One Agency’s Journey Dr. Shirley Hunt Director, Research Division Orange County Probation Department Presented to American Probation and Parole Association February 2, 2010 Orange County CA

Transcript of Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age...

Page 1: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

1

Evidence Based Practice:One Agency’s Journey

Dr. Shirley Hunt

Director, Research Division

Orange County Probation Department

Presented to

American Probation and Parole Association

February 2, 2010

Orange

County

CA

Page 2: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

2

OC FAST FACTS

• 3rd largest county in CA (~3.1 million)

• Exceptional wealth and extreme poverty

within 798 square miles

• County oversight of probation (no direct

ties to state)

• Supervision of adults (~ 16,000) and

juveniles (~6,000)

Page 3: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

3

OC Probation’s EBP Journey

• 1980s Decade – Implemented NIC Probation Model

• Validated Risk-Need Assessment Instruments • Initiated Supervision by risk & Case Plan Objectives by needs• Began tracking workload & staffing (paper and pencil)• Set up a PC-database for assessments

• 1990s Decade – Building & Expanding Capacity• Growth in use of OC data to inform strategic planning and fiscal decisions• Began formal program evaluations (“8%” repeat offenders)• Implemented automated “Case Management System” (Individual-level +

Unit workload)

• 2000s Decade – Revisiting Goals & EBP • Expanded internal research capacity • Continued use of OC data + “what works” to inform OCPD Operations• 2008 – selected as 4th NIC EBP site• Expansion of automated case management system (“windows-based”)

Page 4: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

4

Measuring EBP ……

from the Inside/Out

• What data do you have now? What do

you need?

• Where is it? How will you get it?

• Once you have it, what do you do with it?

Page 5: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

5

What Data?

“Assess agency data using EBP template”

• Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship

• Supervision • Presenting offense, conviction date, supervision start date • Risk/Need assessment scores (changes over time – overall/subgroups)• Changes in supervision type and/or level (dates occurred)• Officer-Offender Interaction (contacts - #, type, quality of..)

• Treatment/Sanctions• Treatment Type/Dosage (agency, referral date, completion status, exit date)• Sanctions placed (causal event, date, custody days imposed, other,

completion status)

• Outcomes • Arrests, violations, incarceration (type of offense, dates)• Length of supervision (probation termination date, type)

Page 6: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

6

Where are the Data?

“Map your system to identify key points of service”

• What information is available at each point?• Who is the “holder” of the data? One agency/multiple agencies.

• Probation/Court/DA/Social Services/Health Care/Treatment Provider/• What additional data can/should be captured at each point?

• How will you access the data? • How is the existing data currently maintained (paper; automated, etc.)• What barriers exist to exchanging or sharing of data? (confidentiality,

technology, etc.)

• How will you track information over time?• What’s needed for a comprehensive “data record” from entrance to exit• What data elements must be permanent (never overridden)

• What is the plan to ensure reliability and validity of information over time? (very important question!)• Who will be the “responsible” owner?

Page 7: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

7

Challenges: Creating an EBP data record

Low-Risk High-Risk� 49 yr. old male convicted driving

under the influence (heroin)

� 2 prior convictions (DUI-alcohol)

� Assessed “High risk/Low Needs”

� Risk: Freq. moves; Unstable

emplymt; Serious drug/alcohol

us; Priors; < 19 at lst offense;

� Needs: Lower skill level; unsatisf.

Emplmt; Situational finan. issues

� Supervision: Prop 36 -> Reg Sup

-> Drug court

� Treatment: 4 alco/drug

treatment programs (failed)

� TERMINATED PRISON:

THREE TECH. VIOLATIONS

� 43 yr. old male convicted driving

under the influence of meth.

� No prior convictions

� Initially placed on Informal/cont’d

meth use -> Formal/Prop 36

� Assessed “Low risk/Low needs”

� Risk: (1) recent unstable

employment - emplyd 11 years until

incarcerated; (2) serious drug abuse

� Needs: (1) Drug problem; (2)

Emot. issues (abused by alcoholic

father; ADHD); (3) Finan. issues

� Min. Sup./ Enrolled in drug trtmt

� TERMINATED NO NLV;

COMPLETED TREATMENT

Page 8: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

8

How do you use data to measure

progress and Improve Outcomes?

(or)Now you have the data, what do you

do with it?

“ Begin asking/answering this

question from day one and

continuously revisit”

Page 9: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

9

EBP MEASURES:

INFORMATION/ANALYSIS MATRIX

COMMUNITY OFFENDER OFFENDER

PROTECTION ACCOUNT. COMPETENCY

PROCESS

INTERMEDIATE

LONG-TERM

Short-term measures of progress

Long-term measures of success in

meeting goals

Counting of numbers

Page 10: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

10

……..PROCESS COUNTING…….

COMMUNITY OFFENDER OFFENDER

PROTECTION ACCOUNT. COMPETENCY

• # on probation

by risk level

• # of contacts by

risk level

• # of prob. Out

to warrants

• # of prob. drug

tested

administered

• # of prob. With

positive drug

results

• # referred to

drug counseling

by risk level

• # of juv prob

attending school

regularly

What are we doing? OCPD

____________

Page 11: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

11

Unit Summary Report (Example)

GSUSUM1UNIT STATISTICAL

SUMMARYPage: 1

5/11/04 9:14:27

Unit: 059 JUVENILE DECENTRALIZED IN

Month: April 2004

Supervisor:

(Cases) Total

Total Reso Prog W/L

Off # Officer Name Cases New High Med Low Unc Cus FM Ref PT Dispo Rpt Points

0591 58 30 28 112.48

0592 57 35 22 116.72

**Report Totals** 115 65 50 229.2

CASE MOVEMENTSTATISTICS

1. In Cases: New- 12 Transfer- 0

2. Out Cases: Trm- 11 Transfer- 3

Warrants- 0

3. % Cases Turn Over- 22.61

Page 12: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

12

Intermediate Measures

• % of population with completed r/n assessment (set goal)

• Gain scores: Changes in protective measures

• # & type of technical violations & dispositions

• % of medium/high risk offenders with case plans developed within specified timeframe

• % of case plans that address the top 3 identified criminogenicneeds based on assessment

• Average length of supervision sorted by risk level.

Page 13: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

13

Employment Status:

Percent with satisfactory employment

Intermediate measure example

28%

40%

0%

10%

20%

30%

40%

50%

1% at Entry % at One Year

Page 14: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

14

Technical Violations at First Reassessment:

% With No Tech. Violations by Initial Risk Level

Intermediate measure example – Opportunity to do QAS

70%

83%92%

0%

20%

40%

60%

80%

100%

High Medium Low

Initial Risk Classification

% W

ith

No

Tech

Vio

lati

on

s

Page 15: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

15

Long-Term Outcomes

How well are we doing?

1. % Terminating Satisfactorily

2. # of probationers terminating with no new law

violations (while under probation supervision?

3. Violation outcomes by initial risk level/scores

Page 16: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

16

Adult Termination Outcomes FY 08/09

34%30%

12%17%

7%

0%

10%

20%

30%

40%

50%

Normal Prison/Jail Cond/ROS Early Term Other Term

FY 08/09 Adult Termination Status

Page 17: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

17

Terminations with Zero New Law:

Ten Year Outcomes

Adult Probationers Terminating

w ith No New Law Violations

69%71%

69%71%

66%

71%69%

67%66%

74%

56%

60%

64%

68%

72%

76%

80%

FY 99-

00FY 0

0-01

FY 01-

02FY 0

2-03

FY 03-

04FY 0

4-05

FY 05-

06FY 0

6-07

FY 07-

08FY 0

8-09

% o

f T

erm

inate

d P

rob

ati

on

ers

Page 18: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

18

Violation Outcomes by Initial Risk

38%

23%

39%

67%

12%

20%

87%

5%8%

0%

20%

40%

60%

80%

100%

High Medium Low

Initial Risk Classification

Adult FY 08/09 Terminations:

Violation Outcomes by Initial Risk level

New Law

Tech Only

None

Page 19: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

19

Adult Terminations with New Law Violation by Initial Risk Score

(2008-09 Terminations, n=4292)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39

Total Initial Risk Score

% 1

+ N

LV

Medium HighLow

Page 20: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

20

OC Probation’s EBP Journey:

What have we learned?

• What have we done well?• Maintaining formal risk/need assessment as cornerstone of operations

for 2+ decades (supervision & case plan)

• Integrating research/evidence (data) into organizational fabric

• Automating functions and production of process reports

• Focusing on agency-level performance measures

• What are we doing….medium?• Case plans are “barebones”

• Minimal attention to quality control (e.g. interrater reliability)

• Measures of officer performance still traditional (i.e. contacts, testing)

• Limited use of data to show outcomes at the officer/unit level

• What still remains to be done……?

Page 21: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

21

2010’s Decade:

Coming EBP attractions in OCPD

• Building next generation of continuous quality improvement

• Developing automated outcome reports

• Expanding performance measures (from agency-wide out to staff level)

• Strengthening Measurement of “officer-offender”relationship quality

Page 22: Evidence Based Practice · “Assess agency data using EBP template” • Demographic • Age (DOB), gender, race/ethnicity, residence, citizenship • Supervision • Presenting

22

For more information

• Dr. Shirley Hunt

Orange County Probation DepartmentPO Box 10260Santa Ana, CA [email protected]

OrMicheal CollinsOrange County Probation [email protected]

Orange

County

CA