A Quality Management System for Mental Health Professionals

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A Quality Management System for Mental Health Professionals Harold Alan Pincus, MD Professor and Vice Chairman, Department of Psychiatry Co-Director, Irving Institute for Clinical and Translational Research Columbia University Director of Quality and Outcomes Research New York-Presbyterian Hospital Senior Scientist RAND Corporation

IOM Recommendations A comprehensive quality-management system for all mental health professionals Well-defined scopes of practice and clinical privileging of all mental health-care providers Promotion of evidence-based practices for treatment and monitoring of results Focused training in the particular mental and related general medical conditions in TRICARE population and in military cultural competence A systematic process for continued professional education and training Development and application of quality measures to assess performance of providers Systematic monitoring of process and outcomes of care at all levels of health-care system and application of effective quality-improvement strategies 2

Structure-Process-Outcome (SPO) Model of Health Care Quality Structure of Care Process of Care Outcomes of Care Structural components have a propensity to influence the process of care... changes in the process of care, including variations in quality, will influence the outcomes of care, broadly defined. Hence, structural effects on outcomes are mediated through process. --Donabedian A (1980) 3

Crossing the Quality Chasm 4

Studies Documenting the Quality Gap Literature reviews conducted by RAND Over 70 studies documenting quality shortcomings Large gaps between the care people should receive and the care they do receive true for preventive, acute and chronic across all health care settings all age groups and geographic areas Only 55% chance of getting appropriate care (Schuster et al, MMFQ,1998; updated 2000; McGlynn et al, NEJM 2003) 5

Crossing the Quality Chasm Quality problems occur typically not because of failure of goodwill, knowledge, effort or resources devoted to health care, but because of fundamental shortcomings in the ways care is organized The American health care delivery system is in need of fundamental change. The current care systems cannot do the job. Trying harder will not work: Changing systems of care will! 6

Six Aims of Quality Health Care 1. Safe avoids injuries of care 2. Effective provides care based on scientific knowledge and avoids services not likely to help 3. Patient-centered respects and responds to patient preferences, needs, and values 7

Six Aims of Quality Health Care (continued) 4. Timely reduces waits and sometimes harmful delays for those receiving and giving care 5. Efficient avoids waste, including waste of equipment, supplies, ideas and energy 6. Equitable care does not vary in quality due to personal characteristics (gender, ethnicity, geographic location, or socioeconomic status) 8

Ten Rules for Achieving the Aims Old Rules 1. Care is based on visits. 2. Professional autonomy drives variability. 3. Professionals control care. 4. Information is a record. 5. Decisions are based upon training and experience. New Rules 1. Care is based upon continuous healing relationships. 2. Care is customized to patient needs and values. 3. The patient is the source of control. 4. Knowledge is shared and information flows freely. 5. Decision making is evidence-based. 9

Ten Rules for Achieving the Aims Old Rules 6. Do no harm is an individual clinician responsibility. 7. Secrecy is necessary. 8. The system reacts to needs. 9. Cost reduction is sought. 10. Preference for professional roles over the system. New Rules 6. Safety is a system responsibility. 7. Transparency is necessary. 8. Needs are anticipated. 9. Waste is continuously decreased. 10. Cooperation among clinicians is a priority. 10

Four Levels of Care Level A: the experience of patients Level B: the functioning of small units of care delivery ( microsystems such as a cardiac surgical team, ACT team) Level C: the functioning of organizations that house or support microsystems (such as clinics and hospitals) Level D: the environment of policy, payment, regulation, accreditation, and other factors that influence the organization at Level C 11

Evidence-Based Chronic (Planned) Care Approaches for Treating Depression Are Effective Community Resources and Policies Self- Management Support Health System Health Care Organization Delivery System Design Decision Support Clinical Information Systems Informed, Empowered Patient and Family Productive Interactions Patient-Centered Coordinated Timely and Evidence- Efficient Based and Safe Improved Outcomes Prepared, Proactive Practice Team 12

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Two Phenomena Central to the Committee s Work and Findings Co-occurrence of mental, substance-use, and general health conditions (and substantial societal burden) The differences in M/SU health services delivery compared to general health care 14

Six Problems in the Quality of M/SU Health Care Problem 1: Obstacles to patient-centered care Problem 2: Weak measurement and improvement infrastructure Problem 3: Poor linkages across MH/SU/GH Problem 4: Lack of involvement in National Health Information Infrastructure Problem 5: Insufficient workforce capacity for QI Problem 6: Differently structured marketplace 15

Overarching Recommendation 1 The aims, rules, and strategies for redesign set forth in Crossing the Quality Chasm should be applied throughout M/SU health care on a day-to-day operational basis but tailored to reflect the characteristics that distinguish care for these problems and illnesses from general health care. 16

Mental, Substance-Use and General Health CONCLUSION Improving care delivery and outcomes for anyone depends upon improving care and outcomes for the others. OVERARCHING RECOMMENDATION 2 Health care for general, mental, and substance-use problems and illnesses must be delivered with an understanding of the inherent interactions between the mind / brain and the rest of the body. 17

Problem 2: Weak Measurement and Improvement Infrastructure 1. Clinical assessment and treatment practices not yet standardized and classified for use in administrative datasets 2. Outcome measurement not widely applied in spite of reliable and valid instruments ( measurement-based care ) 3. Dissemination of advances often fails to use effective strategies 4. Performance measurement for M/SU health care has not received sufficient attention in private or public sector 5. QI methods not yet permeating day-to-day operations 18

Preparing for the Future Consumer Participation Leadership (PCP/MH/SUD) Support Standardize Practice Elements Clinical assessment Interventions IT infrastructure Develop Guidelines Mental health Substance use General health Measure Performance For each 6P level Across silos Improve Performance Learn Reward Strengthen Evidence Base Document stakeholder value Evaluate effective strategies Translate from bench to bedside to community Clinical (PCP/MH/SUD) Perspectives Integrative Processes 19

Create/Engage/Integrate Leadership Consumers/Users Clinicians Administrators Policy makers Across MH/SU/GH 20

Standardize Practice Elements Clinical assessment Interventions IT infrastructure 21

Develop Guidelines Mental health Substance use General health 22

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Evidence-Based Practices specific interventions medications, psychotherapies, team-based, etc. appropriateness/fidelity measurement training, supervision Measurement-Based Care clinical measures (e.g. HA1c, PHQ-9) systematic, consistent, longitudinal action-oriented Best Practices/Context accessibility patient centeredness cultural competence 24

Measure Performance You can t improve what you don t measure Develop quality metrics (indicators) - Structure -Process - Outcomes Across silos of MH/SU/GH At each P level Multiple activities/no stewardship 25

66 P P Conceptual Framework Patient / Consumer Providers Practice / Delivery Systems Plans Purchasers (Public / Private) Populations and Policies Enhance self-management/participation Link with community resources Evaluate preferences and change behaviors Improve knowledge/skills Provide decision support Link to specialty expertise and change behaviors Establish chronic care model and reorganize practice Link with improved information systems Adapt to varying organizational contexts Enhance monitoring capacity for quality/outliers Develop provider/system incentives Link with improved information systems Educate regarding importance/impact of BH Develop plan incentives/monitoring capacity Use quality/value measures in purchasing decisions Engage community stakeholders; adapt models to local needs Develop community capacities Increase demand for quality care enhance policy advocacy 26

Improve Performance Guideline Dissemination Provider Training/Education/CME Certification/Accreditation/Licensure Provider Reminder Systems/Decision Support Patient Education/Reminders Quality Measurement Quality Improvement- PDSA/Six Sigma/IHI Public Reporting Financial Incentives/P4P 27

Strengthen Evidence Base Document stakeholder value Get on radar screen Evaluate effective strategies Measurement Improvement Strategies Implementation/Dissemination/Organizational Learning Strategies Translate innovations from bench to bedside to community Knowledge Transfer Fill gaps in the evidence base via: Alternate study designs Administrative data sets Outcome measures Coordination of initiatives analyzing the evidence Stewardship of field 28

Most Prevalent Treated Diagnoses in TRICARE Population Mood Disorders Anxiety Disorders Substance Use Disorders Adjustment Disorders *Post-Traumatic Stress Disorder *Military Sexual Assault *Traumatic Brain Injury *Suicidality Comorbidity 29

Examples of Evidence-Based Psychological Interventions for Selected Disorders Relevant to the TRICARE Beneficiary Population (cont d) Major depressive disorder Schizophrenia Cognitive behavioral therapy (APA, 2000; VA/DOD, 2009a) Interpersonal therapy (VA/DOD, 2009a) Dialectical behavioral therapy (VA/DOD, 2009a) Behavior couples therapy (VA/DOD, 2009a) Problem-solving therapy (APA, 2005c; VA/DOD, 2009a) Cognitive behavioral therapy (APA, 2004b; NIMH, 2009e) Social-skills training (APA, 2004b) Family intervention (APA, 2004b; NIMH, 2009e) Assertive community treatment (APA, 2004b) Supported employment (APA, 2004b; NIMH, 2009e; Lehman et al., 2004) 30

Examples of Evidence-Based Psychological Interventions for Selected Disorders Relevant to the TRICARE Beneficiary Population (cont d) Acute stress disorder, posttraumatic stress disorder Cognitive behavioral therapy (APA, 2009a; APA, 2004a; NIMH, 2009d; VA/DOD, 2004) Exposure therapy (APA, 2009a; APA, 2004a; IOM, 2008; NIMH, 2009d; VA/DOD, 2004) Eye-movement desensitization and reprocessing (APA, 2004a; VA/DOD, 2004) Bipolar disorder Cognitive behavioral therapy (APA, 2005a; APA, 2002; NIMH, 2009b) Interpersonal therapy (APA, 2005a; APA, 2002; NIMH, 2009b) Family-focused therapy (APA, 2005a; APA, 2002; NIMH, 2009b) 31

Examples of Evidence-Based Psychological Interventions for Selected Disorders Relevant to the TRICARE Beneficiary Population (cont d) Substanceuse disorders Generalized anxiety disorder Cognitive behavioral therapy (CBT) (APA, 2006b) Motivational interviewing (APA, 2006b; VA/DOD, 2009b) Behavioral couple therapy (APA, 2006b; VA/DOD, 2009b) Cognitive behavioral skills training (VA/DOD, 2009b) Contingency management (APA, 2006b; VA/DOD, 2009b) Community reinforcement approach (APA, 2006b; VA/DOD, 2009b) Cognitive behavioral therapy (DH, 2001; NIMH, 2009a) 32

Examples of Evidence-Based Psychological Interventions for Selected Disorders Relevant to the TRICARE Beneficiary Population (cont d) Obsessivecompulsive disorder Panic disorder Exposure-response prevention (APA, 2007; Hill, 2007) Cognitive behavioral therapy (APA, 2009b) 33

Strategies for Measuring the Quality of Care Conceptualize aspects of care to be measured based on evidence based on guidelines/evidence Translate concepts/recommendations into performance measure specifications Pilot-test performance measures to determine validity, reliability, feasibility, and cost Ensure calculation of performance measures and submission to a performance measure repository Audit to ensure that performance measures are calculated accurately in accordance with specifications Analyze and display the performance measures in formats suitable for understanding by multiple audiences Six P s Maintain performance measures and policies and provide stewardship for the field 34

Issues in Quality Measurement Adequacy of data sources Agreement/development of clinical measures (mental health vital signs ) Codifying assessments in administrative data (visit v. lab test v. lab value) Codifying interventions in administrative data (e.g. specific psychotherapy, fidelity) Determining bench marks Risk adjustment Linking process and outcome 35

Structure Are providers trained in evidence-based practices (incorporated in certification, credentialing, and licensing)? Are providers trained in applying evidence-based practices to different M/SU conditions and competences assessed? Do clinicians or organized care settings have mechanisms to ensure patients receive evidence-based care and to measure and improve quality (e.g., as incorporated in provider agreements with TRICARE contractors)? Do military care providers have mechanisms to measure and improve the quality of care (including the provision of evidence-based care) of their providers/contractors? 36

Process Are providers using evidence-based practices for assessment, diagnosis, and treatment at a level of fidelity that meets accepted standards? for appropriate conditions presenting in the treatment setting? Among mental health-clinician categories? Are clinics and other organized settings assessing whether patients are receiving evidence-based care and using the data to improve care? Are contractors assessing whether patients are receiving evidence-based care And using the data to improve performance of providers in their network? 37

Outcomes Are providers, clinics, and care contractors systematically utilizing appropriate measures of clinical outcomes on a coordinated, longitudinal basis? Are they using the data to improve outcomes of individual patients and population as a whole? Are the outcomes improving? 38

Crossing the Quality Chasm 39

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