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OMHSAS Quality Management

OMHSAS Quality Management. Older Adult Committee May 3, 2007. 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. Common Issues in Quality Management.

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OMHSAS Quality Management

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  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 – • 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

  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

  22. Other - NOMS

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