Title: UCLA Integrated Substance Abuse Programs
1CalOMS Training for Counties
- UCLA Integrated Substance Abuse Programs
- Richard Rawson, Ph.D.
- Rachel Gonzales, Ph.D.
- Funded by California Alcohol and Drug Programs
2Learning Objectives
- Goals of the CA Data System
- Importance of using data to improve treatment
- Basic models for disseminating CalOMS data
3Goals of CA Data System
- Provide a comprehensive data collection and
management system - To establish greater accountability of the
treatment system for providing quality services - Ensure efforts are in accordance with SAMHSAs
National Outcome Measurement System - NOMS essential Indicators used to evaluate the
quality of substance abuse treatment
4Importance of CalOMS Data
- CalOMS data are standardized same data are
collected across programs/counties at admission
(t1) and discharge (t2) - CalOMS data are comprehensive - allows for
understanding - Clients in treatment (Demographic data)
- Treatment patterns (Service data)
- How programs are performing (Performance data)
- Impact of treatment on client outcomes (Outcome
data) -
- CalOMS data helps us keep up to date with
treatment improvement initiatives Use data to
improve treatment
5Steps Using CalOMS Data
Step 1 What do you want to know Tx
Priority Step 2 Identify CalOMS Data Needed
(demographic, service, performance,
outcome) Step 3 Request Data/Run Data Report
Step 4 Examine Analyze Results Step 5
Determine, what, if any, changes should be made
to improve service delivery
6Exercise CalOMS Demographic Data
- Whos in treatment?
- Primary substance problem
- (e.g., alcohol, marijuana, cocaine, opiates,
prescription, meth) - Special needs Pregnant
- (e.g., injectors, homeless, youth, disabled,
veterans, criminal offenders, mentally ill)
Apply CalOMS demographic data to treatment
improvement initiatives
7Primary Substance Problem
CalOMS Treatment Admission Report
8Clients with Special Needs
- 6 of admissions were pregnant women
- Meth most commonly reported among pregnant women
9Exercise CalOMS Service Data
- What are treatment trends?
- Service utilization
- (e.g., detox, outpatient, residential, NTP)
- Treatment referral sources
- (e.g., SACPA, Self, DMC)
Apply CalOMS service data to improve treatment
10Service Utilization Referral
- Most admissions are to outpatient programs
- ½ of referrals are from criminal justice system
CalOMS Assessing Services Report
11What is Performance Data?
Performance indicators measure the treatment
process at the program level
Access
Retention/Completion
Continuity of Care
Desired Outcomes
Treatment
12Exercise CalOMS Performance Data
- Access
- Retention
- Continuity of Care
Applying CalOMS performance data to improve
treatment
13Research supports reduced wait time is
associated with improved engagement and retention
in treatment
CalOMS Assessing Services Report
14Access for Priority Populations
15- Retention
- (Length of stay)
Research supports without an adequate amount of
time in treatment, few improvements are observed.
16 CalOMS Service Utilization Report
lt30 days
lt90 days
gt90 days
17What do the data indicate?
Outpatient Treatment
lt ½ Optimal Dose
Sub-optimal
1840 not retaining during initial 30 days
lt 1 are staying 365 days or more
19Continuity of Care Measure
- Do individuals who enter treatment proceed
through appropriate levels of care? - Per CalOMS matched admission-discharge treatment
service sets that occur within 30 days of a prior
discharge (via client unique client ID)
20Treatment Episode
Detox/ Inpatient
Long-term Residential Treatment
Intensive Outpatient/Psychosocial Behavioral
Treatment
Sober Living Residence
Continuing Care/Aftercare Programs
21Continuity of Care Patterns
- Majority of clients only receive 1 service (level
of care) - 75 of clients in detox do not go to another
level of care
22What is Outcome Data?
Outcome indicators measure client status at the
client level
Substance use
Employment/Education
Criminal Activity
Housing Stability
Social Connectedness
Desired Outcomes
Treatment
23Exercise CalOMS Outcome Measures Interested in
treatment impact
- Stopping or Reducing
- Substance use
- Unemployment
- Crime
- Homelessness
- Family conflict
Applying CalOMS Outcome data to improve treatment
24Reductions in Criminal involvement and crime
Changes During Treatment Reports
25Improvements in Client Outcomes
26Step 5 Using Data to Improve Treatment
Desired Program/Policies/Services
What NEEDS to be done
Data
Whats being done
27What To Look At?
- Start at the
- Program and Provider Level
- ACTIVITIES Use of evidence based practices
- FACTORS Staff, license/training, resources, tx
environment -
- PERFORMANCE MEASURES
- Access, retention, continuity of care
28Tx Improvement What changes are needed?
- What program elements can affect performance
measures? - Improved screening and placement
- Timeliness rapid response
- Comfortable, friendly environments
- Flexibility
- Case management
29Strategies for Enhancing Service Linkages
- Active referral/transfer
- Case management processes
- Integrating staff at different tx levels
- Creating personal linkages
- Arranging transportation
- Referring to appropriate geographical location
30Illustration NIATX Strategies Improve Access
Retention
- Screening/
- Placement
-
-
- Timeliness/
- Rapid Response
- Enhanced Tx
- Response
-
-
Contact your ATTC Representative
31Summary Utility of CalOMS Data
- Provides Evidence
- Establish Priorities
- Decision-Making
- Improvement
and
32- .... increase and sustain
- Community Financial Support
For Services Programs
33Data Validity is Essential
- Remember
- Data in a system is only as good as how the data
is collected - Data quality efforts are essestial
34 Goal Improved Measures
- More work is needed to improve upon CalOMS
performance and outcome measurement - Standard data collection of discharge is
necessary for valid data and assessing treatment
quality effectiveness
Continued Training is Critical
35Disseminate the Data
- Demonstrates utility
- Gives feedback on services and outcomes
- Increases buy-in engagement
- Improves data collection
- Greater data quality valid data
36Effective Dissemination Models
- Using CalOMS data you can create
- Program Site Reports (report card)
- Brief Treatment Updates
- Fact Sheets on specific topics
- State CalOMS Reports
37Program Site Reports
- Report Style
- Executive Summary
- Highlight Program Performance
- Tables/Graphs with Outcomes
- Engaging
38Treatment Updates
- Specific data topic
- Newsletter Style
- One-page Format
- Graphs/Tables
- Short Summary
39 Treatment Updates
- Innovative
- Quick Reference
- Targeted Subject
- Concise
40Fact Sheets
- Comprehensive
- Visual
- Summary of major trends
- Downloadable
41State CalOMS Reports
42CalOMS Resources
- Data Dictionary
- Data Collection Guide
- Reports User Guide Instructions
- Data Quality Standards
- http//www.adp.ca.gov/CalOMS/CalOMSmain.shtml
43Contact Information
Richard Rawson rrawson_at_mednet.ucla.edu Rachel
Gonzales rachelmg_at_ucla.edu www.uclaisap.org