Ohio Outcomes: Helping Recovery and Resiliency Grow for Over Eleven Years PowerPoint PPT Presentation

presentation player overlay
1 / 47
About This Presentation
Transcript and Presenter's Notes

Title: Ohio Outcomes: Helping Recovery and Resiliency Grow for Over Eleven Years


1
Ohio Outcomes Helping Recovery and Resiliency
Grow for Over Eleven Years
  • James Healy
  • Ohio Department of
  • Mental Health (ODMH)
  • healyj_at_mh.state.oh.us
  • October 4, 2007
  • Wellington, New Zealand

2
Learning Objectives
  • How Ohio implemented Outcomes
  • What efforts have worked well
  • What has not worked as well
  • What challenges now face the Outcomes system

3
Why Are We in Business?
  • System should enable consumers and families to
    build resiliency and achieve their life goals
    unimpeded by mental illness or emotional
    disturbances (recovery)
  • Measurement of consumer outcomes at treatment
    start, end, and periodically throughout, lets us
    know if these all-important objectives are met
    AND supports consumer-driven treatment planning

4
Founded 1803About OhioState Motto With God
All Things are Possible
  • Splintered State level human services system
  • 88 Counties, 50 Boards, 400 service providers
  • Local (for some), State, Federal Funding
    Streams have many complicating requirements
  • Local Control State--Supposed primacy of local
    control, Actual primacy of federal funding
    requirements
  • Previously divisive nature ofboard-provider
    relations
  • Best public Mental Health System in the United
    States? (Highest Grade of B from NAMI)

5
Then Outcomes Launch Historical Setting-1990?1996
  • Tail-end of de-institutionalization efforts in
    state
  • Birth pangs of recovery movement in Ohio
  • Managed care efforts
  • Lawsuits regarding authority of boards to control
    services

6
Then Driving Factors for Launching Ohio Outcomes
Initiative
  • Need for measure of effectiveness
  • Push for accountability at federal, state and
    local levels
  • A multi-county (but not statewide) effort to
    establish standards would have splintered data
    collection efforts
  • Void at federal level for standard mental health
    outcomes measures

7
Then and Now Potential Benefits of Outcomes
  • Improved consumer input into treatment
  • Improved clinical outcome of using Outcomes
    feedback
  • Standardized evidence of performance
  • Ongoing self-evaluation and improvement
  • Cost-benefit analyses
  • Addresses external requirements/demands
  • Better long-term relationships with external
    stakeholders
  • Method to differentiate organization from
    competitors

8
Now 11 Years and Counting
  • The tree planted in September, 1996 By Mike Hogan
    begins to bear fruit. We never thought it would
    take this long!

9
Now Outcomes Success!
  • A Number of Indicators
  • Consumer Outcomes Rule (5122-28-04)
  • Outcomes planning, collection, data flow, data
    use
  • Widespread Implementation
  • 340 providers
  • All 50 boards
  • 2,000,000 administrations
  • 500,000 unique consumers (vs. Ohios 11,000,000
    citizens)
  • Consumer Outcomes Data Mart
  • Unique in the United States
  • Adoption in Other Places
  • Texas, Connecticut, Washington, California,
    Nebraska, Pennsylvania, Ireland, England, Canada,

10
Now Integral to System Activities
  • Consumer Outcomes Used In
  • Planning Analysis at Agency, Board and State
    levels
  • Tied into new Service Standards (ACT adults,
    IHBT youth)
  • Used in ODMH Certification Process
  • Use in special ODMH funded programs, used for
    federal funding accountability requirements
  • Provide agencies with acceptable solution for
    other funders (e.g. United Way) need for Consumer
    Outcomes data
  • Setting a common data standard for service
    research data

11
We Can See the Summit from Here!
12
Outcomes Task Force 1996?1998
  • Mission Define Consumer-Level Mental Health
    Outcomes Design Content
  • Three criteria for consumer Outcomes
  • Indicators of health or well-being for individual
    or family
  • Measured by statements or observed
    characteristics of consumer/family
  • Not characteristics of the service system
  • Narrow focusnot drug abuse or satisfaction
  • 42 members agencies, boards, consumers, ODMH,
    advocates, academics
  • Strong leadership, expert facilitation

13
Outcomes Task Force Guiding Principles
  • Multiple Constituencies
  • Representative of all involved constituencies
  • Routine reporting back to the field
  • Deliberate Process
  • In-depth review
  • Documentation of meetings and decisions
  • Consensus Model
  • Work toward group consensus
  • Formal decision process, if necessary
  • These all worked, and were retainedfor every
    subsequent work group

14
Outcomes Task ForceValues
  • Recovery philosophy drives service provision
  • Providers and consumers share responsibility for
    environment of hope and for service planning
  • Services driven by consumer-identified needs and
    preferences

15
Outcomes Task ForceValues
  • Accurate information needed for continuous
    improvement of outcomes and for accountability
  • Methodologically sound and cost effective
    outcomes measurement
  • Balance between improved information and
    reasonable implementation

16
OTF Assumptions
  • Integration with Other Data
  • Outcomes data should be used with other data for
    continuous quality improvement
  • Outcomes findings are indicators requiring
    further exploration and planning
  • Outcomes are system-wide, data will be shared,
    i.e. data follows the consumer
  • Availability
  • All stakeholders should be able to use the
    outcomes findings

17
OTF Assumptions
  • Consumer Perspective
  • Outcomes should be measured primarily from
    consumer perspective
  • Measures should complement the clinical judgment
    of practitioners
  • Values-Based
  • Incremental and innovative addition to Ohios
    mental health system improvement
  • Should be evaluated to ensure that itfulfills
    the OTF values

18
Outcomes Clinical Mantra
  • The single most important use of Outcomes data is
    to inform the clinical process!
  • Utility of Outcomes data diminishes with distance
    from use in clinical process?Clinical
    Process?Program Evaluation/Quality
    Improvement?System Evaluation?State Evaluation

19
Outcomes Task Force What Worked, What Did Not
  • What Worked
  • Almost everything
  • What Did Not
  • Choosing pay-per-use instruments for kids
  • Setting multiple instruments for adults

20
A Whole Mountain Range Was Ahead
21
Outcomes Implementation Pilot Coordinating Group
1999?2001
  • Implementation and Evaluation
  • Testing instrument reliability, validity
    acceptability
  • Creating first tools for clinical use (Strengths
    Red Flags reports)
  • Developing proof-of-concept data collection and
    reporting system for agency use
  • Revised youth instruments (public domain)
  • Procedural Manual, other documentation
  • Key learning was that agencies who understood
    recovery accepted outcomes, and vs. versa

22
OIPCG What Worked, What Did Not
  • What worked
  • Proof-of-concept agency database still used by
    gt50 of agencies
  • Replacing youth instruments with public domain
  • The procedural manual, the website
  • What Did Not
  • Not collecting information that would collect
    program information with Outcomes data
  • Not publishing collected RV work
  • Did it work or not??
  • Not defining use of Outcomes in clinical practice
  • Multitude of information system
  • Reliance on local board as intermediary

23
Outcomes Incentive Grants 2000-2001
  • Implementation
  • US3,000,000 in federal Center for Mental Health
    Services (CMHS) Block Grant funds were awarded to
    forty-four local systems to support Outcomes
    implementation in 192 agencies (US15,625 per
    participating agency)
  • Training
  • US420,000 in additional CMHS funds were used to
    develop a toolkit of training materials

24
Outcomes Incentive GrantsWhat Worked, What Did
Not
  • What Worked
  • Giving money to the agencies and board addressed
    real budgetary needs
  • Grant followed by dial-in User Groups meetings
    that answered a lot of how-to questions
  • What Did Not
  • The majority of the technology purchased!? Little
    expertise at agencies in software acquisition,
    little control possible from ODMH
  • The training materials were expensive with little
    impact? shorter videos manuals wouldhave been
    had more acceptance

25
The ODMH Quality Agenda 2001
  • Outcomes are a key piece of the ODMH Quality
    Agenda, and are most useful when used in context
    of other pieces

You Are Here
26
Statewide Data Reports Workgroup 2002
  • Outcomes Data Use and Reporting
  • Developed standard reports to track Outcomes data
    reporting levels at agencies, boards and state
  • Developed separate youth and adult diagnostic
    categories for reporting
  • Developed standard report format
  • Conceived the Outcomes Data Mart

27
Statewide Data Reports Workgroup What Worked,
What Did Not
  • What Worked
  • The missing data report stimulated collection and
    reporting
  • What Did Not
  • Only producing compliance-oriented agency-level
    missing reports? left agency boards to say
    thats all that mattered

28
New Administrative Rules in Place(enacted
September 2003)
  • Outcomes Rule Requirements
  • March 4, 2004 Collecting Outcomes data
  • September 4, 2004 Flowing Outcomes production
    data to ODMH
  • September 4, 2005 Evidence of use of Outcomes
    data in both treatment planning and agency
    performance improvement
  • Also, Performance Improvement Rule Requires Use
    of Outcomes Data

29
Administrative Rule What Worked, What Didnt
  • What Worked
  • Requirement brought along the unwilling
  • Larger scheme to trade government regulation for
    accreditation
  • Required uses of Outcomes Data
  • What Did Not
  • Requirement made a good thing smell bad
  • Narrow focus on outcomes use in treatment
    planning, rather than treatment, missed
    opportunity to require use later in treatment

30
Outcomes Data Mart Committee 2002?2004
  • Available to Non-Technical Users
  • Mental health consumers and family members
  • Community mental health boards and agencies
  • ODMH
  • General public
  • The actual construction of the Outcomes Data
    Mart was conducted over the next 15 months

31
Outcomes Data MartWhat Worked, What Did Not
  • What Worked
  • Easy to use
  • Widely available
  • What Did Not
  • Not longitudinal
  • Not a true data cube (no cross-tabulation)
  • No Program analysis means no evidence for best
    practices

32
Outcomes System Quality Improvement Group
2005?2006
  • Formalize ODMH Commitment to Review the Outcomes
    System Implementation
  • Examine local experiences in areas of
  • Leadership, training, automation, forms
    administration, data use, and constituency
    relationships
  • Focus onĀ improving Outcomes data use in
  • Individual treatment planning, agency program
    evaluation and quality improvement, Board and
    ODMH oversight
  • Advise ODMH on how to improve Outcomes
  • Implementation, Operations, Administration

33
OSQIG Major Findings
  • 14 Procedural changes
  • Instrument-related issues deferred
  • OSQIG found that many contextual (Bigger than
    Outcomes) issues affect what happens with
    Consumer Outcomes
  • Technology
  • Workforce
  • Funding
  • Recovery and Resiliency
  • Corporate Culture

34
OSQIGWhat Worked, What Didnt
  • What Worked
  • Long term collection of issues identified by
    system constituents
  • Simplification clarification of procedures in
    place
  • Eliminating multiple adult instruments
    (Empowerment for all!)
  • Agency toolkit to guide changes
  • What Did Not
  • No historical perspective yet to see what went
    wrong

35
Outcomes System Quality Improvement
Group-Instrument 2007???
  • OSQIG-I focused onĀ improving the Outcomes
    instruments to better support the integrated use
    of Outcomes data in treatment planning, agency
    program evaluation and quality improvement, and
    board and ODMH oversight.
  • Probably 2 years to finish, then 2 years 15
    million dollars to implement changes
  • Over 250 Identified Issues to sort through

36
Are There any Mountains Left to Climb? Any Seeds
Yet to Plant?
37
Technology Barriers Inherent in Outcomes
  • Poorly performing initial implementations were
    widely adopted
  • Complexity of Outcomes data relative to other
    clinical data
  • A variety of people interact with Outcomes data
    systems
  • Variability of Outcomes data use requirements

38
Non-Outcomes Technology Barriers
  • Agencies do not perceive themselves as software
    managers
  • information technology is integral to the
    business Thus, business models and software need
    to be co-developed
  • Lack of awareness of steps in information
    system/software development lifecycle inhibits
    useful participation
  • A typical software development lifecycle might
    look like Planning? Requirement Definition?
    Functional Design? System Design? Programming
    ?Testing? Implementation? Maintenance

39
Non-Outcomes Technology Barriers
  • Agencies often do not have the economy of scale
    to participate in meaningful software development
  • Agency culture may drive good technology practice
    out dont blame Information Technology!

40
Environmental Technology Factors
  • Existing systems may be isolated in silos, making
    integration of data very difficult
  • Existing systems may be monolithic and not
    readily changed
  • Vendors may not have the capacity to deliver on
    promises
  • Rapid changes in technology make adoption more
    problematic
  • Rapid changes in requirements make development
    more difficult

41
Corporate Cultural Barriers
  • Agency Leadership is key to change lacking clear
    direction from the top will inhibit needed
    changes
  • Learning culture where mistakes are part of
    learning (instead of leading to termination)
    allows for uptake of new requirements

42
Cultural Barriers
  • Multiple language versions of instruments
  • Empowerment not universally recognized as a valid
    Outcome for all
  • Multiple factors of culture Religion, race,
    gender, lifestyle, ethnicity
  • Cultural evolution
  • Given all this, what do Outcomes mean?? Need for
    individualized treatment

43
Work Force/Training Barriers
  • High turnover in staff force constant training
  • Often staff have no training on outcomes
  • Training is often antithetical to using Outcomes
  • Low pay structure makes MH a training ground for
    other human service fields

44
Funding Barriers
  • How do we pay for the funding of Outcomes when
    its not built into the cost of doing business and
    we cant pay for what services actually cost
    because of federal funding requirements?
  • Generically, how do you fund Outcomes work?

45
Even for those near the top, significant
challenges lie ahead
Significant Challenges
46
Key Top-Performer Agencies (N26) Survey Results
47
Contact Us!
http//www.mh.state.oh.us/oper/outcomes/outcomes.i
ndex.html
Any Question can be sent to Outcome_at_mh.state.oh.u
s OR Contact Policy, Outcomes History Dee
Roth rothd_at_mh.state.oh.us 614-466-8651 Policy,
General, Certification, Reports Generator Jim
Healy healyj_at_mh.state.oh.us 614-752-9311
Technical, Template, Testing Geoff
Grove groveg_at_mh.state.oh.us 614-644-7840 Certif
ication, Plans of Correction, Q/I Marsha
Zabecki zabeckim_at_mh.state.oh.us 614-466-9933 Poli
cy, Outcomes History Leslie Brower browerl_at_mh.st
ate.oh.us 614-752-9704
Write a Comment
User Comments (0)
About PowerShow.com