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Measuring Quality of Care Measuring Quality of Care
for Co-Occurring Conditionsfor Co-Occurring Conditions
Richard C. Hermann, MD, MS Tufts University School of MedicineDavid J. Dausey, PhD Rand CorporationAmy M. Kilbourne, PhD, MPH University of PittsburghCatherine Fullerton, MD, MPH Harvard Medical School
RWJF Depression in Primary Care Program
Center for Quality Assessment & Improvement in Mental Healthwww.cqaimh.org
OverviewOverview
Co-occurring conditions & deficits in care– Mental disorders & SUD in primary care– Medical conditions in mental health specialty care– Dual diagnoses in mental health & SU specialty sectors
Role of quality measurement in improving mental healthcare Status & prospects for measures of co-occurring conditions Breakout session
– Measure development exercise – Measure selection exercise
Mental disorders & SUD in Primary CareMental disorders & SUD in Primary Care
Prevalence 5 - 27% of primary care patients have depressive or anxiety
disorders 4 -10% of primary care patients have SUDs
Deficits: Poor recognition Low rates of use of brief screening tools Low rates of appropriate treatment in primary care Limited referral for specialty care Barriers to successful referral Poor communication btw. PCP and MH/SU specialists
Medical Conditions among MHS PatientsMedical Conditions among MHS Patients
Prevalence: Elevated rates of diabetes, HIV, pulmonary, CV & GI
disease among individuals with severe mental illness 2 - 5x higher risk of mortality from natural causes
Deficits: Lack of thorough medical evaluation for patients
receiving MHS care for a psychiatric disorder 35% (3 - 92%) psychiatric patients had a significant,
undetected medical condition 50% (12 - 93%) had a significantly undertreated condition
Dual Diagnosis in MH & SUD Specialty SectorsDual Diagnosis in MH & SUD Specialty Sectors
Prevalence: ~ 50% of patients with SMI have an SUD over lifetime ~ 25% of patients with SMI have an active SUD
Deficits: < 40% with dual diagnosis received any treatment, Only 8% receive integrated treatment Among pts in MH or SU specialty care, comorbid
condition is frequently undocumented & untreated
IOM Crossing the Quality Chasm (2005): IOM Crossing the Quality Chasm (2005): Adaptation to Mental Health/Addictive DisordersAdaptation to Mental Health/Addictive Disorders
IOM Recommendation 5-2
Need to implement policies and incentives to increase collaboration among primary care, mental health, & substance-use treatment providers to achieve evidence-based screening and care
IOM Crossing the Quality Chasm (2005): IOM Crossing the Quality Chasm (2005): Recommendations on Measurement-Based QIRecommendations on Measurement-Based QI
Recommendation 4-2 / 4-3
Clinicians & provider organizations should measure & continuously improve the quality of care they provide.
Stakeholders need to reach consensus on standardized quality measures for comparative use
National Inventory of Mental Health Quality MeasuresNational Inventory of Mental Health Quality Measures
> 300 measures proposed for quality assessment & improvement in MH/SUD care – available at http://www.cqaimh.org/quality.htm
Less than 5% assess care for co-occurring conditions Other instruments available, but not widely used for these
populations– surveys of patient perspectives of care– outcome assessment tools– fidelity scales
Role of Measurement in Quality ImprovementRole of Measurement in Quality Improvement
Internal quality improvement– CQI: aims, measurement, diagnosis, intervention– system redesign
External quality improvement– reporting and feedback– benchmarking– contractual goals – financial incentives– consumer & purchaser choice
Framework for Measuring Quality of CareFramework for Measuring Quality of Care
Structure Process
Technical
Outcome
Interpersonal
Structures of Care for Co-Occurring Conditions
Clinicians– Competencies in detecting/ treating COC– Availability of specialists for referral
Facilities & Services– Availability of services across levels of care– Adoption of structures to support COC care
Clinical Information Systems– Availability of medical records between sectors– Procedures to safeguard confidentiality / consent
Financing– Reimbursement for care of COC
Processes of Care for Co-Occurring Conditions
Detection Assessment Access to specialty care Treatment vs. Referral
– appropriateness of decision– referrals: completion rate– treatment: underuse, overuse, misuse; fidelity
Coordination – adequacy of communication / collaboration
Continuity of care Safety
Outcomes of Care for Co-Occurring Conditions
Change in SymptomsBehaviorsFunctioningQuality of lifeAdverse effectsMortalityPatient Satisfaction
Desirable Characteristics of Quality Measures
Meaningful
quality problemclinically importantevidence-basedvalidcomprehensible
Feasible
precisely specifieddata availableaffordablereliableconfidential case mix
Actionable
under user’s control results interpretable
Mental disorders & SUD in Primary Care: Mental disorders & SUD in Primary Care: Existing Quality MeasuresExisting Quality Measures
HEDIS measures adopted for health plans % pts started on antidepressant for depression who remain on
medication at 12 weeks & 6 months % children receiving medication for ADHD w/ follow-up visit w/in
30 days, 2 additional visits w/in 9 months Service utilization for SUD
– treated prevalence: any utilization in 12-months– initiation: 2nd service w/in 14 days– engagement: 2 additional services w/in 30 days
Mental disorders & SUD in Primary Care: Mental disorders & SUD in Primary Care: Measures Under DevelopmentMeasures Under Development
Structures supporting evidence-based practice– % of primary care practices using registries, rating
scales, case management for depression Processes recommended for primary care practice
– % patients screened for SUD– % of pts. diagnosed with alcohol abuse or dependence
receiving a brief intervention– % pts. w/ depression receiving case mgmt support
Outcome Measures– average change in PHQ score at defined interval
Mental disorders & SUD in Primary Care: Mental disorders & SUD in Primary Care: Need for Measures of Boundary-Spanning CareNeed for Measures of Boundary-Spanning Care
Potential measure topics Completion rates for referrals Communication btw PCPs and MHS Outcomes of referred or collaborative careObstacles to overcome Carve-outs result in segregation of data btw. sectors Tension btw. sharing clinical information & confidentiality Unclear accountability for outcome Lack of defined standards for boundary spanning care
Measures of Conformance to Standards & GuidelinesMeasures of Conformance to Standards & Guidelines
Research Consensus Evidence Development
Practice guidelines / standards of care
Conformance
Structures Processes Outcomes Delivery of Care
Breakout Group 1: Measure DevelopmentBreakout Group 1: Measure Development Information exchange between PCP & MHS Information exchange between PCP & MHS
Proposed Measure: % primary care patients referred to MHS for psychiatric care whose PCP received “adequate” feedback
Need for standards: what? by when? how?
What data sources are available?
Different forms of measure useful to different stakeholders?
Quality Measurement for Quality Measurement for Medical Conditions in MHS CareMedical Conditions in MHS Care
Detection % patients with general medical history % patients with documented smoking status % patients screened for DM, fasting lipidsTreatment % of patients receiving appropriate preventive care
– pap smear, vaccines, colonoscopy % of patients with DM with HgA1c testing % of patients with COPD with spirometry testing
Background: Integrated Care for MH/SUDBackground: Integrated Care for MH/SUD
~50% of individuals with a mental disorder have at least one co-occurring substance use disorder (MH/SUD)
When compared to individuals with a single MH disorder individuals with MH/SUD have higher:– Rates of treatment utilization– Use of emergency and hospital services– Rates of violent behavior– Risk of HIV infection
Research for two decades has demonstrated that individuals with MH/SUD that receive integrated or linked care have better outcomes than those who receive “silo care”
Deficits in Quality of Care for MH/SUDDeficits in Quality of Care for MH/SUD
Limited current service linkages between MH and SA providers
Failure to identify MH/SUD patients in MH specialty settings
Program fidelity challengesLack of performance measures despite growing
evidence base and standards
Structural Measure: Service LinkagesStructural Measure: Service Linkages
% of programs that have:– Integrated services (MH and SA services in the
same treatment program)– Co-location (MH and SA services in the same
location)– Formal relationships (referral agreements or
contractual relationships among providers)– Informal or ad hoc (absence of formal relationships)
Research indicates that programs with integrated services have the best outcomes
Process Measure: Model FidelityProcess Measure: Model Fidelity
Average fidelity score across participating programs:– New Hampshire/Dartmouth Integrated Dual Disorder
Treatment (IDDT) model 26 Item fidelity scale Each item represents an org. or tx component of model
Scores from individual programs can be compared to the mean score or a recognized benchmark
Research indicates that Critical program components must be replicated to achieve good outcomes
Outcome Measure: AbstinenceOutcome Measure: Abstinence
% of patients with any SA diagnosis discharged from a MH specialty setting who report abstinence from drugs or alcohol over 6 months.
MH specialty settings can be compared against the mean across all MH specialty settings or a recognized benchmark.
Breakout Session 2: Measure SelectionBreakout Session 2: Measure Selection Integrated Care for Patients with MH/SUD Integrated Care for Patients with MH/SUD
Comparing and contrasting different measures for MH/SUD
Focus on measures for state mental health agencies
Rate and discuss 3 different measures on feasibility and meaningfulness
Consider appropriate data sources for measures