1. OMHSAS Quality Management
Older Adult Committee
May 3, 2007

2. What is Quality Management?
An organized process to:
Collect meaningful data,
Turn the data into information
Use that information to move the system forward to meet your goals.

3. Common Issues in Quality Management
“You can’t tell if you are getting there if you don’t know where you are going”
“Data rich, information poor”

4. Factors in Quality Management
Relevance
The impact of the factor merits the time and effort spent measuring it, and is it actionable.
Replicability
The intervention will achieve a predicted result all or most of the time.
Attribution
Results are clearly attributable to what you measured and not to other things you haven’t measured.
Satisfaction
The results meet or exceed the consumers expectations

5. Types of Data
Encounter/claims data
Survey Data
Study Data
Other

6. Type of Data - Encounters
Claims or encounter data –
Who got the service?
How much service was delivered?
How much did it cost?
How do counties compare to each other?
How does our data compare to national standards?

7. Encounter Data - PBC Performance Based Contracting Report
Based largely on encounter data
Measures include older adults, adults and children, mental health and substance abuse
Compared against epidemiological estimates of prevalence

8. PBC – MH Users 18-64

9. PBC – SA Users 18-64

10. PBC – Service Users - 65+

11. PBC - Readmission Rate, 21 to 64

12. PBC - Readmission Rate, 65+

13. PBC - 7 Day Follow Up, 21 to 64

14. PBC - 7 Day Follow Up, 65+

15. Type of Data - Surveys Satisfaction Data – Outcomes Data –
Did consumers feel the services were helpful?
Depending on instruments, can be analyzed compared to other populations.
Outcomes Data –
How are consumers doing in their lives?
How are consumers doing with their symptoms?
Can be compared among programs.

16. Satisfaction Results Measure 3rd Qtr 2005 2nd Qtr 2006 Change
Problem getting help he/she needed
35.9%
40.0%
-4.1%
Chance to make treatment decisions
86.7%
83.1%
+3.6%
Better quality of life
71.4%
79.1%
+7.7%

17. Outcome Survey
POMS –
Reported on priority populations (SMI and SED) quarterly
Standardized output specified
No standardized tool or administration methodology defined.

18. Type of Data - Studies Study Data –
Identify a particular issue of interest
Can be conducted internally or by an external organization
Chart review of a statistically valid sample
Is very labor intensive; must be replicated to determine if there is change in the system.

19. Study Data – IPRO IP Follow-up

20. Study Data – IPRO IP Follow-up

21. Study Data – IPRO RTF Study
RTF Facility Measures
Onsite meeting with family within 7 days of admission
42.3%
79.7%
Documentation to OP provider sent within 7 days prior to date of discharge
5.5%
14.8%
Medication rationale documented in chart discharge planning notes
40.6%
50.3%

22. Other - NOMS Reduced Morbidity Access/Capacity Employment/Education
Retention
Criminal Justice
Perception of Care
Stability in Housing
Cost Effectiveness
Social Connectness
Use of EBPs