Efficiency in P4P: Guiding Principles for Implementing a Successful Physician Efficiency Profiling Program Dr. Jonathan Niloff Tuesday, March 10, 2009.

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Presentation transcript:

Efficiency in P4P: Guiding Principles for Implementing a Successful Physician Efficiency Profiling Program Dr. Jonathan Niloff Tuesday, March 10, 2009 – 1:45 pm Track 1: Concurrent Session 1.08

Going in … Experience with Physician Efficiency Profiling 1 5 Manage / Participate in Efficiency Profiling program Came here to learn more 2 3 4 Find out knowledge level / preconceptions of physician profiling of audience Perception of Physician Efficiency Profiling Among your Constituents ©2009 MedVentive Inc. All Rights Reserved. 2

First Things First Define your goals Improve Efficiency Reduce Variation Lower Costs ©2009 MedVentive Inc. All Rights Reserved. 3

Capture Physician Attention First Things First Define your goals Why are you profiling? What is the desired outcome? Identify opportunities Educate physicians Change behavior P4P Incentives Capture Physician Attention Provide Motivation ©2009 MedVentive Inc. All Rights Reserved. 4

Keys to Success Profile what you want to change Credible methodology and transparency No credibility = DOA No buy-in = no success Proper positioning Improvement opportunities – not punitive A good roll out plan ©2009 MedVentive Inc. All Rights Reserved. 5

Keys to Success (cont.) Sufficient detail to: Understand improvement opportunities Gain physician credibility Presentation - Good materials Make it easy Highlight key action items Graphical formats are best ©2009 MedVentive Inc. All Rights Reserved. 6

Keys to Success (cont.) The right incentives ©2009 MedVentive Inc. All Rights Reserved. 7

How Accurate is Accurate Enough? Limitations of claims data “Absolute” is not attainable – and not required Goal is credibility and validity – not perfection! Methodology Directionally correct and valid for identifying opportunities ©2009 MedVentive Inc. All Rights Reserved. 8

The Distractions “Not enough patients to be statistically valid” “This isn’t my patient” “My role in the care of this patient was minor” “My patients are sicker” “The fees I get are different” “I had one very sick patient that skewed my results” ©2009 MedVentive Inc. All Rights Reserved. 9

Methodological Considerations The right method for the right constituency PCPs – panels +/or episodes Specialists – episodes The right Grouper for episodes Specificity for the care costs included Attribution HMO vs PPO populations Ability for physicians to correct attributions “ “My role in the care of this patient was minor” “This isn’t my patient” ©2009 MedVentive Inc. All Rights Reserved. 10

Methodological Considerations (cont.) A big enough “n” Single vs. Multi-payer How long should the measurement period be? Adjustments Risk +/or Case mix Payer mix Outliers Completeness of data “Not enough patients to be statistically valid” “My patients are sicker” “The fees I get are different” “I had one very sick patient that @#$%& my results” ©2009 MedVentive Inc. All Rights Reserved. 11

Efficiency Index (EI) = Actual Costs Efficiency Index is the ratio of actual expenses to predicted expenses adjusted for the population risk +/or case mix Efficiency Index (EI) = Actual Costs Predicted Costs ©2009 MedVentive Inc. All Rights Reserved. 12

How do I interpret Efficiency Indexes? Efficiency Index (EI) = Actual Costs Predicted Costs An EI > 1.0 indicates that costs were greater than one would predict for the severity and complexity of the episodes profiled Less efficient than average An EI < 1.0 indicates that the costs were less than one would predict for the severity and complexity of the episodes profiled More efficient than average ©2009 MedVentive Inc. All Rights Reserved. 13

Case Study: PCP Efficiency Profile IPA Capitated risk contracts with multiple payers And P4P quality incentives Goal: Improve capitated performance Phased approach Phase I: Education Phase II: Internal P4P payment metric ©2009 MedVentive Inc. All Rights Reserved. 14

Case Study: PCP Efficiency Profile Based on HMO panels Aggregated data from all HMO payers 12 months of claims data with lag Risk adjustment with DCGs Normalized DCG scores are used to calculate the predicted costs for each PCP’s panel of patients Payer mix adjustment Outliers trimmed ©2009 MedVentive Inc. All Rights Reserved. 15

©2009 MedVentive Inc. All Rights Reserved. 16

PCP Reporting Drill-down ©2009 MedVentive Inc. All Rights Reserved. 17

Impact “We issue reports … twice a year. The data explains … and motivates a change in behavior.” – CEO, IPA Next Step Implementing specialist efficiency profiles ©2009 MedVentive Inc. All Rights Reserved. 18

Specialist Efficiency Profile Based on a select group of ETGs for each specialty being profiled ETGs define complete episodes of care based on diagnosis and procedure codes Account for differences in co-morbidities, complications and demographics (e.g. age) ©2009 MedVentive Inc. All Rights Reserved. 19

Specialty Profiles: What data is included? Data from “complete” ETG episodes Multiple years of data Aggregate data across multiple payers Outlier episodes are pruned Attribution to the specialist with the highest management and/or surgery charges for that episode ©2009 MedVentive Inc. All Rights Reserved. 20

Specialty Profiles: Case mix adjustment Correct for severity differences with case-mix adjustment Case mix adjustment permits meaningful “apples to apples” comparisons by correcting for differences in the illness burdens and case complexity in specialists’ practices. ©2009 MedVentive Inc. All Rights Reserved. 21

©2009 MedVentive Inc. All Rights Reserved. 22

©2009 MedVentive Inc. All Rights Reserved. 23

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Key Take Homes Goal is credibility and validity – not perfection! Transparency and detail promote trust and collaboration Focus on education and improvement opportunities ©2009 MedVentive Inc. All Rights Reserved. 26

Questions & Answers 27