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4/5/2018
1
Creating a Clinician-Driven Quality Assurance Program Within an Academic Medical Center’s
Ambulatory Rehabilitation DepartmentJohn DeWitt, PT, DPT, SCS
Lindsay Harmon-Matthews, PT, DPT, OCS, MPHMichael Martin, PT, MPT, OCS
Disclosures
John DeWitt, Lindsay Harmon-Matthews and Michael Martin have no financial disclosures that would be of
potential conflict of interest with this presentation.
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Objectives• Provide an overview of the importance
of Quality and Outcomes (QO) Programs in PT
• Outline steps to create a Quality and Outcomes (QO) program
• Define metrics to implement a successful QO program
• Describe how to utilize and leverage technology to measure the program’s success
• Design methods to leverage technology in the development and analysis of a QO program
• Cite examples of positive results
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OSUWMC Ambulatory Rehabilitation
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Academic Medical Center
7 Hospitals, 3 Magnet Hospitals,1,321 Beds
9 Multi-specialty Centers
60,000 inpatient admissions
1.7 million outpatient visits
>35 affiliations or community hospital partnerships
7 Health Sciences Collegeson a Single Campus
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OSUWMC’s Ambulatory Rehab Department
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Ambulatory Rehab
Outpatient Rehab
Ortho & Neuro PT
OT & SLP Services
Sports Medicine Sports PT
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Ambulatory Rehab’s Growth
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2018
15 facilities, >180 clinical
staff
190,000 annual visits
2004
1 facility, 7 staff
Creating a Quality and Outcomes Program
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Defining Quality
Quality “Then:” Regulatory Compliance Passing an Audit
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Defining Quality
Quality “Now:” Institute of Medicine DomainsEffectivenessEfficiencyEquityPatient CenterednessSafety Timeliness
https://www.ahrq.gov/professionals/quality-patient-safety/quality-resources/tools/chtoolbx/understand/index.html
http://www.ihi.org/resources/Pages/ImprovementStories/AcrosstheChasmSixAimsforChangingtheHealthCareSystem.aspx
http://www.who.int/management/quality/assurance/QualityCare_B.Def.pdf
https://www.ncbi.nlm.nih.gov/books/NBK222271/10
QO Programs demonstrate our identity:
How do we do what we do? Utilize evidence-based practice
Who are we?
Describe our role in pt care as movement
experts
What do we do?
Show ethical
decision making
Why do we do what we do?
Justify clinical decision making
Design, implement and study innovative care delivery models Inform and create change “Right Intervention, Right Patient, Right Time”
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QO Programs demonstrate the Value of Care:
Effective good clinical/functional outcomes
Patient-centered excellent patient experience
Efficient controlled costs
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QO Programs also assist with:
Maintaining regulatory compliance Coding/Billing standards Authorization requirements CMS & payer guidelines
Justifying reimbursement
Making operational decisions Staffing Program development Resource management
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Knowledge Translation
(putting info into practice)
Knowledge Translation
(putting info into practice)
Output(outcomes,
behavior change)
Output(outcomes,
behavior change)
Input(who we
are)
Input(who we
are)
Our Path to Quality and Outcomes
Our Path to Quality and Outcomes
Input Team Lead for Quality Assurance
KT Associate Director of Education and Professional Development
Output Team Lead for Evidence Based Practice
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Needs Assessment
• Rationale
• Business Justification
Position Creation
• Position priorities
• Position description
• Framework
Program Development
• Team
• Program objectives
• Key contacts
• Leveraging Technology
Knowledge Translation
(putting info into practice)
Knowledge Translation
(putting info into practice)
Output(outcomes,
behavior change)
Output(outcomes,
behavior change)
Input(who we
are)
Input(who we
are)
Safety and Compliance!
Prior lack of system awareness of therapy regulations Coding/Billing Reimbursement Contractual negotiations Authorization
Growth of department necessitated expansion of clinical QA team
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Needs Assessment
• Rationale
• Business Justification
Team Lead for Quality Assurance
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QA Business Justification
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Development of Residencies and Fellowship programs
Various individual programs and groups dedicated to EBP No continuity or connection to overall
mission
Need for defined leadership and strategic plan
Need for formalized mode of “filtering” and translating info collected
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Needs Assessment
• Rationale
• Business Justification
Associate Director for Professional Development
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Growth of department and multiple special interest groups
Lack of formal clinician education
No standard for care delivery across locations and clinicians
Required more comprehensive approach to handling unexpected outcomes
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Needs Assessment
• Rationale
• Business Justification
Team Leads for Evidence Based Practice
1.) Year 1: Lead P2P committee; create plan for a systematic identification of needed competencies and roll-out for education; work with team to identify plan for the collection of outcomes (Patient and Clinician specific) translated to changes in care/behavior; identify individual variances in quality or outcomes (e.g. poor pt outcomes) and work with clinic manager to address; visit sites with special interest group contacts to roll out new CPGs, competencies, etc.
2.) Year 2 and beyond: Assuming available registry data (or an alternative understanding through outcomes survey assessment, etc.), identify variances with expected benchmarks (intra-clinic or PT comparison, comparison with national benchmarks, etc.) and implement plans to change our treatment approach in response to these variances. Present outcomes and implementation to state and/or national professional meeting. Identify and publish clinical practice guideline in national clearinghouse or professional journal.
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Needs Assessment
• Rationale
• Business Justification
Team Leads for Evidence Based Practice
Process Improvement and Technology’s Role
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• Measure the Impact
• Adjust, Implement, & Examine
• Test at Pilot Sites
• Identify Priorities
Plan Do
StudyAct
Using Technology in PDSA Cycles
Plan Understand
baseline statusSet improvement
targets
Do Test at pilot sites
Study Monitor impact
Act Adjust and examine
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Plan Automated reports Electronic
summaries
Do May involve tech
Study Reports, Excel, etc.
Act Adjust based on
analysis
Technology & Iterative Cycles
Optimizing processes with technology Identify clinic need Connect tech capabilities with clinic workflow
Identifying challenges with technology Use staff feedback
Troubleshooting with technology team Clear communication is key
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Leveraging Technology to Expand the QA Program
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G-code Functional Limitation Reporting “G-codes”
Medicare Plan of Care Certifications “Rehab Certs”
Medicare Therapy Cap/Threshold “KX Modifiers”
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QA Program & Technology
• Payer guideline compliance
• EMR changes
• Documentation consistency
Plan – determine baseline status?
Do – staff education or EMR changes?
Study – impact on compliance rates?
Act – continued monitoring?
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QA Program & Technology
• Payer guideline compliance
• EMR changes
• Documentation consistency
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Plan: Information Warehouse reports Work queues Customized Epic reports
Do: Workflow maps EMR improvement staff education
Study & Act: Analyze data from Plan phase
compared to Do phase Continued weekly and monthly audits
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QA Program & Technology
• Payer guideline compliance
• EMR changes
• Documentation consistency
IT Systems Analyst
Revenue Cycle Team
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Epic Capabilities
Flowsheet Updates
Billing Language
Report Requests
QA Program & Technology
• Chart audits
• Payer guideline compliance
• EMR changes
• Documentation consistency
Using Technology to grow Knowledge Translation and
Outcomes Initiatives
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
• Survey /Compliance Audit
• Develop outcome-based KT projects
• CPG committee formation
• Examine current KT culture
Plan Do
StudyAct
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
Plan – Examine current KT practices and opportunities
Schutte, 2015 PTinMOTION
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
Plan – Examine current KT practices and opportunities
Schutte, 2015 PTinMOTION
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
Develop an EBP initiative to: Identify Clinical Practice Guidelines Educational training Competency assessment Limit, but not eliminate variability in
patient care
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
Do – CPG committee formation
P2P Steering
Committee (Ambulatory
Services)
Physical Therapy
PT
PT
PT
PT
PTA, AT
Occupational Therapy OT
Speech Therapy SLP
SLP: Clinical Swallow Eval
Sports PT: Autologous Chondrocyte Implantation
OP PT: Cervical radiculopathy
OT: Wrist assessment
Neuro PT: Long term management of BI/CVA
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
Do – Education
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Study – Survey Staff and examine PROs
Question Strongly disagree
Disagree Somewhat disagree
Neither agree nor disagree
Somewhat agree
Agree Strongly agree
Information was accurate
0% 0% 0% 0% 2% 41% 56%
Formatting was clear 0% 2% 2% 0% 2% 47% 46%Guideline will improve clinical practice
2% 2% 4% 4% 13% 39% 35%
Guideline was applicable to current practice
2% 0% 2% 2% 9% 37% 48%
Educational Session Feedback
Strongly agree (24%)
Agree (46%)
Disagree (7%)
Somewhat agree (12%)
Neither agree or disagree (9%)
Effectiveness Rating: 76/100
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
Act – Develop KT projects specific to outcomes
Proposed new CPGs
Development of two “Evidence-based Practice Coordinators”
We a way to measure out
success!
44
KT & Outcomes Technology
• Guideline Development
• PRO Initiative
Administration
EBP Team Leads
QIResearchers
IT
Outcome Leadership Committee
32%
45
KT & Outcomes Technology
• Guideline Development
• PRO Initiative
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KT & Outcomes Technology
• Guideline Development
• PRO Initiative
SMR (PT) OPR (PT/OT/SLP)Body-region specific • Oswestry Disability
Index (ODI) Neck Disability Index
(NDI) quickDASH Lower Extremity
Functional Score (LEFS)
PROMIS Physical Function
Condition-specific• (MSIS-29, PDQ 39,
DHI, LCI, CGS, SIS, QOLIBRI, WHO-BREF)
• Ortho: body-region specific PROs
• Women’s health: PSFS (OPR & SMR)
• OT/SLP: PSFS PT: PROMIS Physical Function
Collection Rates• Every encounter Eval, every10th visit,
D/C
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March: Vision Casting (OLC)
April: Pilot Testing
July: Go Live
Sept: Tablets Nov: Re-group OLC
May: Go live Prep(OLC)
Oct: Feedback gathered
Dec. Revision of PRO
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PRO Initiative – Automated Reports
32%
87%
90%
60,000 (July-Feb)
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PRO Initiative – Tell the Story to the patient
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PRO Initiative – EMR Integration
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Clinician Education Initiatives
Online courses CPG education “Carmen” “Buckeye Learn”
Podcasts and web-based meetings Ongoing education Standardized message across sites and
distance
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Meeting Structures
Need to Know In person meeting Online competenciesCompliance update, required CPG info
Good to Know Web-based meetingEfficiency and EMR updates
Nice to Know Optional meeting with podcast available Newsletters Email blasts
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Putting it All Together
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Input
(who we are)
Input
(who we are)
Knowledge Translation
(putting info into
practice)
Knowledge Translation
(putting info into
practice)
Output
(outcomes, behavior change)
Output
(outcomes, behavior change)
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QA Program Results from Technology Improvements
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QA Program – Compliance Results
Improved compliance & consistency
G-codes at Eval: >60% decrease in # of errors
Rehab Certifications: Error rate <2%
KX Modifiers: 101 denials prevented (>$45K)
Documentation, workflows, communication
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G-code Error Types at Evaluation
0
5
10
15
20
25
30
35
40
Jan‐16
Feb‐16
Mar‐16
Apr‐16
May‐16
Jun‐16
Jul‐16
Aug‐16
Sep‐16
Oct‐16
Nov‐16
Dec‐16
Jan‐17
Feb‐17
Mar‐17
Apr‐17
May‐17
Jun‐17
Number of Errors
Month
Trends in G‐code Error Types at Evaluation January 2016 ‐ June 2017
Missing G‐codes
G‐codes on wrong date
Incorrect G‐codes
Total Errors
FY16 Q3-Q4 compared to FY17 Q3-Q4:• 91 fewer total errors• 62.8% decrease in total errors
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Eval G-code Denials - Process Improvement
FY17 Goals: <10% first pass error rate ↓ # G-code errors at evaluation
Plan: Implemented Close Encounter Points in Epic at
evaluation/re-evaluation July-Sept 2016
Trialed at pilot site, starting May 2016
Results: 62.8% ↓ in total errors FY17 Q3-Q4 compared to FY16 Q3-Q4
FY17 goal achieved!58
Rehab Cert – Process Improvement
FY17 Goals: ≤2% first pass error rate overall
Plan: Implemented Close Encounter Point in Epic at
evaluation to warn clinicians the Rehab Cert is needed July-September 2016
Trialed at pilot site, starting May 2016
Results: Consistently at or below target after implementing
Close Encounter Point
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QA Program – Department Results
Financial Return on Investment Reimbursement rate increased
Medical Center Collaboration Alternative Payment Models Revenue Cycle Initiatives
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Outcomes Program Results from Technology
Improvements
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PRO Results
Improved PRO capture rate
Tablet technology
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Recommendations and Future Directions
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Design, implement and study innovative care delivery models Inform and create change “Right Intervention, Right Patient, Right Time”
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QO Programs demonstrate the Value of Care:
Effective good clinical/functional outcomes
Patient-centered excellent patient experience
Efficient controlled costs
Future QO Goals
Effective Care – Outcomes Analysis Functional and PRO status at discharge Will drive Clinical Practice Guideline development and
revision
Patient-centered Care - PRO Data Change over time for a specific condition Will inform staff education needs
Are we measuring what we intend to measure? Are additional patient-centered outcomes needed?
Efficient Care – Episode Analysis Number of visits in episode Number of charges in episode Clinical Practice Guideline adherence
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Outcomes Leadership Committee
Senior Director, Ambulatory Rehab
Associate Directors of Sports Med Rehab and Outpatient Neuro Rehab
Associate Director of Education and Professional Development
Dedicated IT Senior Systems Consultant
Team Lead for Quality Assurance
Team Leads for Evidence Based Practice
Dedicated PhD Researchers and Outcomes Staff Clinical Outcomes Research Coordinator Program
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Additional Rehab Teams
EMR Stakeholders Group
EMR Super Users
Quality Ambassadors
Paper to Practice Committee
Sub-specialty Clinical Teams
Clinical Outcomes Research Coordinators
IT Systems Consultant
Operational Leaders
Data Warehouse Managers
Revenue Cycle Groups
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Our Vision
Working as a team, we will shape the future of rehabilitation, wellness, and prevention through the following: Collection and analysis of outcomes, quality, and
compliance. Translation and dissemination of knowledge to
create changes in clinical care. Reporting outcomes to identify best practice and
needs
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Thank You!
Lindsay Harmon-Matthews,Team Lead for Quality Assurance
Office: 614-688-9175Lindsay.Harmon-
Michael Martin,Senior Director, Ambulatory
RehabilitationOffice: 614-688-8951
John DeWitt,Associate Director for Education and
Professional DevelopmentOffice: 614-366-0926
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References & Suggested Reading
Outcomes & Value
Fritz, J.M. (2012). Physical therapy in a value-based healthcare world. Journal of Orthopedic and Sports Physical Therapy, 42(1), 1-2. doi:10.2519/jospt.2012.0101
Jette, A. (2016). Toward systems science in rehabilitation. Physical Therapy, 96(3), 270-271.
Hoyer, E.H., Needham, D.M., Miller, J., Deutschendorf, A., Friedman, M., Brotman, D.J. (2013). Functional status impairment is associated with unplanned readmissions. Archives of Physical Medicine and Rehabilitation, 94, 1951-1958.
Lentz, T.A., Harman, J.S., Marlow, N.M., & George, S.Z. (2017). Application of a value model for the prevention and management of chronic musculoskeletal pain by physical therapists. Physical Therapy, 97(3), 354-364.
Porter, M.E., Larsson, S., & Lee, T.H. (2016). Standardizing patient outcome measures. The New England Journal of Medicine, 374(6), 504-506.
Porter, M.E. (2010). What is value in heath care? The New England Journal of Medicine, 363(26), 2477-2481.
Westby, M.D., Klemm, A., Li, L.C., & Jones, C.A. (2016). Emerging role of quality indicators in physical therapist practice and health service delivery. Physical Therapy, 95. doi: 10.2522/ptj.20150106
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References & Suggested Reading
Quality Improvement
Ferguson, T.B. (2012). The Institute of Medicine Committee report “best care at lower cost: the path to continuously learning health care.” Circulation: Cardiovascular Quality and Outcomes, 5. Retrieved from http://circoutcomes.ahajournals.org/
Gawande, A. (2010). The checklist manifesto: How to get things right. New York: Metropolitan Books.
Hyzy, R., Posa, P., & Scales, D.C. (2012). System-level quality improvement initiatives: lessons from keystone and other large-scale projects. Seminars in Respiratory and Critical Care Medicine, 33(4), 370-374.
James, B.C. & Savitz, L.A. (2011). How Intermountain trimmed health care costs through robust quality improvement efforts. Health Affairs, 30(6), 1185-1191.
Scoville, R. & Little, K. (2014). Comparing Lean and Quality Improvement. IHI White Paper. Cambridge, MA: Institute for Healthcare Improvement. (Available at ihi.org).
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References & Suggested Reading
Other Systems’ Best Practice Models
Delitto, T., Fitzgerald, K., & Irrgang, J. (2016). Proceedings from Center on Health Services Training and Research (CoHSTAR) Summer Institute: CoHSTAR Summer Institute on Health Services Research. “Model 2: University of Pittsburgh (pragmatic trials).” Boston, MA.
Duncan, P. & Johnson, M. (2016). Proceedings from Center on Health Services Training and Research (CoHSTAR) Summer Institute: CoHSTAR Summer Institute on Health Services Research. “Model 3: BAYADA Home Health Care (healthcare industry collaboration).” Boston, MA.
Fritz, J. & Brennan, G. (2016). Proceedings from Center on Health Services Training and Research (CoHSTAR) Summer Institute: CoHSTAR Summer Institute on Health Services Research. “Model 1: the Utah experience (integrated health care systems).” Boston, MA.
Jette, D. & Stilphen, M. (2016). Proceedings from Center on Health Services Training and Research (CoHSTAR) Summer Institute: CoHSTAR Summer Institute on Health Services Research. “Model 5: Cleveland Clinic (hospital/academic collaboration).” Boston, MA.
Jette, A. & Friedman, M. (2016). Proceedings from Center on Health Services Training and Research (CoHSTAR) Summer Institute: CoHSTAR Summer Institute on Health Services Research. “Model 6: Johns Hopkins (hospital/academic collaboration).” Boston, MA.
Mor, V. & Ottenbacher, K. (2016). Proceedings from Center on Health Services Training and Research (CoHSTAR) Summer Institute: CoHSTAR Summer Institute on Health Services Research. “Model 4: HSR using existing data (Medicare and other large data sets).” Boston, MA.
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