Bustani Ri Conference Cas Evaluation Oct 3 2007

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    Bustani Ri Conference Cas Evaluation Oct 3 2007 - Presentation Transcript

    1. Selecting An Intervention In A Complex Adaptive Health Care System & Evaluating Its Impact Malaz Boustani, MD, MPH Indianapolis Discovery Network for Dementia Indiana University center for Aging Research Regenstrief Institute, Inc www.indydiscoverynetwork.com
    2. The US Health Care System Report Card
      • Sub-optimal quality
        • Dementia recognition:< 40%
        • FDA approved Trx: < 10%
        • Inappropriate Trx: > 25%
      • Compromised safety
        • 90,000 death / yr
        • 1,000,000 injury / yr
      • Waste
        • 30% - 40% health expenditure (overuse, underuse, misuse, duplication)
      • Discovery to Delivery:
        • 17 yrs
        • $800 millions
      • Generalizability of Research Findings:
        • < 1% of real world patients enrolled in AD studies
      Boustani, 2007; IOM, 2001, Westfall, 2007; Faison et al, 2003;
    3. Independent Agent E Other Local CASs Stress Feedback Independent Agent D Independent Agent C Independent Agent B Independent Agent A Changing Environment Connection The health care CAS Emergent Performance
    4. Complex Adaptive Health Care System
      • An open, dynamic, flexible, adaptive, and complex network
      • Complex due to
        • Numerous interconnected, semi-autonomous, competing, and collaborating members
      • Adaptive due to
        • Its capability of learning from its prior experience
        • Its flexibility to change its members connecting patterns to fit better with its surrounding environment
      Holden, 2005; Litaker et al. 2006 Feb.
    5. Complex Adaptive Health Care System
      • Emergent behaviors
        • NOT predetermined ones
      • Self-organized controls
        • NOT central controls
      Holden, 2005; Litaker et al. 2006 Feb.
    6. The Paradox of CAS
      • Each CAS is unique in its
        • Members diversity
        • Members interactions
        • Surrounding environment
        • Previous history
        • Evolving and learning process.
      • Health care research centers generate scientific data from group-based studies
        • Then regulators/guideline developers ask each unique CAS to implement the findings.
      Holden, 2005; Litaker et al. 2006 Feb; Stoebel et al, 2005.
    7. The Paradox of CAS
      • The performance of a CAS fluctuates over time
      • The connecting patterns of its members are dynamic and change over time in respond to the stress or the fitness requirements of its surrounding environment.
      Holden, 2005; Litaker et al. 2006 Feb; Stoebel et al, 2005.
    8. How Can I Assess CAUSALITY? Can I Predict?
      • How can I identify or determine that a system is a CAS?
      • How can a system with no bosses, no mandates and no plans produce repeatedly complicated structures and perform difficult tasks?
      • Can I build a complex adaptive system model to study? What can I do with a simulator?
      • What data do I have & how can I analyze data in CAS?
      • How can I manage the problems of uncertainty, variability, and variable interdependency in a CAS?
      • Is replication essential in science?
      • How can I select a change in a CAS?
      • How can I evaluate the success or the impact of my proposed intervention or change in a CAS?
      • How are experiments performed in a complex adaptive system?
      • Is a randomized controlled trial the best accurate study design to evaluate an intervention in a CAHS?
      How Can I Assess CAUSALITY? Can I Predict?
    9. Selecting an Intervention
    10. The 9 Principles of Selecting a Change in a Complex Health Care System
      • View your system through the lens of complexity.
      • Build a good enough vision with minimum specifications
      • Lead from the edge by balancing data and intuition, planning and acting, safety and risk.
      • Foster the &quot;right&quot; degree of information flow, diversity and difference, connection among agents, power differential, and anxiety.
      • Uncover and work with paradox and tension.
      Paul E Plsek. 1997.
    11. The 9 Principles of Selecting a Change in a Complex Health Care System
      • Go for multiple actions at the fringes, let direction arise.
      • Listen to the informal relationships, gossip, rumor, and hallway conversations that contribute significantly to the individuals’ perceptions about their surrounding environment and their subsequent actions.
      • Allow complex systems to emerge out of the links among simple systems that work well and are capable of operating independently.
      • Build a community of members who collaborate, create, learn and compete
      Paul E Plsek. 1997.
    12. Reflective Adaptive Process
      • Build a local “Think-Tank: the RAP Team” responsible of introducing an acceptable, locally matched, flexible and effective change in its CAS.
      • External or internal facilitators who encourage the RAP Team to select, adopt or create local processes to
        • solve the CAS problem
        • enhance the CAS performance
        • guide the CAS respond to its surrounding environment
      • RAP is the second generation of CQI
      Stroebel et al.2005.
    13. The RAP Principles
      • Vision, mission, and shared values are fundamental in guiding ongoing change processes in a CAS
      • Creating time and space for learning and reflection is necessary for a CAS to adapt to and plan change
      • Tension and discomfort are essential and normal during CAS change
      • Improvement teams should include a variety of system’s agents with different perspectives of the system and its environment
      • System change requires supportive leadership that is actively involved in the change process, ensuring full participation from all members and protecting time for reflection
      McDaniel et al, 2003; Stroebel et al.2005; Boustani et al 2007.
    14. Evaluation of Interventions in CAS
      • Selecting the content and the delivery of the intervention
        • A- The content based on SER of past research or guidelines
        • B- Develop a RAP team to
          • Localize the content
          • Localize / Invent the delivery process
          • Monitor the delivery process
          • Monitor the agents interactions
          • Detect emergent behaviors
    15. Evaluating the Impact of the Selected Interventions
    16. Methodological Quality “ Extent to which a study’s design, conduct, and analysis has minimized selection, measurement , and confounding biases” West et al, 2002
    17. The “Safeguards” Evidence
      • Random assignment against
        • both unconscious and deliberate human influence on the assignment of subjects to different groups
        • unknown confounders
      • Blind outcome assessment ensures
        • treatment and analysis of outcomes are not colored by prejudice
      Guyatt et al, 1993; West et al, 2002
    18. The Hierarchical Strength of Evidence in Treatment Decisions
      • N-of-1 RCT
      • SER of RCT
      • Single RCT
      • SER of observational studies
      • Single observational study
      • Physiologic studies
      • Unsystematic clinical observations
      Guyatt et al, 1993; West et al, 2002
      • Design:
        • N-OF-1 RCT
      • System outcomes
        • Overall Cost
        • Overall Safety
        • Overall Quality
        • Overall Patient Satisfaction
        • Overall Staff Satisfaction
      • Intervention specific outcomes
      Proposed Evaluation Process
    19. Applying N-OF-1 RCT in CAS
      • A CAS receives pairs of evaluation periods
        • Each pair including one period of active intervention and another of usual care in random order.
      • CAS members are kept masked to allocation
      • Outcomes are monitored blindly and continuously
    20. N-OF-1 RCT in CAS 0----------1------------2-----------3-----------4----------5-----------6------------7-----------8-------------9-----------10------------11------------12 Time Outcome Data Outcome Data Outcome Data Outcome Data Outcome Data Outcome Data Outcome Data R to Int R to Int R to Int R to UC R to UC R to UC
    21. Issues of –OF-1 RCT
      • Selecting the Intervention:
        • Is there enough data to suggest the efficacy of the intervention?
        • Did the RAP team modify the intervention delivery and content to match the local resources?
      • Determining the rapidity of onset of the intervention effect:
        • How quickly does the intervention begin to act and cease acting?
      • Optimizing dose:
        • What is the best dose?
        • Does it differ between systems?
      Guyatt et al, 1986; Price & Evans, 2002
    22. Issues of –OF-1 RCT
      • 4. Selecting the outcomes:
        • the overall common system outcomes not related specifically to the intervention.
        • the outcomes that the intervention effect directly.
        • the process that mediates the effect of the interventions such as the relationship and the new connection between the CAS members.
      • 5. Interpreting the Results of N-of-1 RCTs:
        • What a priori criteria should be established for classifying a trial as definitely negative or indefinite?
      Guyatt et al, 1986; Price & Evans, 2002
    23. The Requirement for N-of-1 RCT:
      • The problem that requires intervention needs to be chronic.
      • The problem that requires intervention needs to be stable.
      • The effect of the new intervention begins to acts within days to weeks at most.
      • The effect of the new change ceases acting after discontinuing within days to weeks at most.
      Guyatt et al, 1986; Price & Evans, 2002
    24. The Science of CAS
      • “ A general feeling of unease when contemplating complex systems dynamics. Its devotees are practicing fact-free science. A fact for them is, at best, the outcome of a computer simulation; it is rarely a fact about the world.”
              • (Smith 1995, p. 30).
    25. The Science of CAS
      • “ Prediction is our best means of distinguishing science from pseudo-science”
              • Karl Popper
      • “ The history of 20th-century science should also give complexologists pause. Complexity is simply the latest in a long line of highly mathematical ‘theories of almost everything’ that have gripped the imaginations of scientists in this century”
              • (Horgan 1995, p. 104).

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