Title: Rong Yi, Senior Research Associate, DxCG Inc'
1Better Provider Profiling Adding Patient Risk
Adjustment to Episodes
Rong Yi, Senior Research Associate, DxCG Inc.
Academy Health Conference June 6, 2004
2Questions Keeping Us Up at Night
The credibility of a provider profiling
initiative depends largely on how well we can
respond to the my patients are sicker
objection.
- How much do patient comorbidities affect episode
costs? - Could we use the DCG Relative Risk Score that
measures patient risk along with Medstats
Episode Group method to more accurately determine
expected costs? - How do severity and risk-adjusted episodes change
our provider profiling results?
3Presentation Outline
- Project objectives
- Proposed methodology
- Application to BCBS of South Carolinas provider
profiles - Conclusions
4MEGsMedstats Episodes Grouper
Look-back
Episode
Clean Period
Office Visit
Office Visit
Prescription
Lab
Hospital Admission
Office Visit
- Links together a patients claims into a
clinically meaningful episode across care
settings - Calculates summary episode cost and utilization
metrics - Assigns a managing physician to the episode to
support profiling - Determines the disease stage of the episode
(highest)
5DxCGs DCG/HCC Models
Clinical Categories
Diagnosis Information
Age/Sex
Patient Risk Scores
- Developed using regression methods on Medstats
MarketScan database (commercial model) - Model input includes demographic information and
all diagnosis information (and/or drug
information) for a patient for a period
(typically a year) - Assigns a set of risk scores to the patient that
measures current and future risk (used for
adjustment in profiling and predictive modeling).
6DCG Calculating a Patients Risk Score
- 0.45 54 year old male
- Condition Categories
- 5.71 Diabetes with renal manifestation
- 1.84 Congestive heart failure
- 0.90 Acute myocardial infarction
- 0.89 Vascular disease with complication
- 0 Vascular disease hierarchy
- 18.09 Dialysis status
-
- 0.46 Diabetes congestive heart failure
- interaction
- ______
- 29.34 Relative Risk Score
Member ID 00001Name John SmithAge
54 Sex MRel Risk Score 29.34
7How Much Should an Episode Cost? - Depends on
the patient!
8Cost of Pneumonia and Patient Risk (DCGs)
DCG Risk Score
Healthier.. Sicker
9Cost of Chronic Diabetes Patient Risk (DCGs)
DCG Risk Score
Healthier.. Sicker
10Overall Relationship between Episode Disease
Stage and Patient Illness Burden
Stages are not comparable across MEGs, but
broadly higher stages go with higher risk scores.
11Risk-Adjusted Episodes in Provider Profiling
- Problem While episodes can be
severity-adjusted, without adjusting for patient
risk, there is the potential to unfairly reward
physicians who care for patients with few
co-morbid diseases and penalize those who
effectively care for patients with significant
disease burden. - Proposed solution Marry the patient-level risk
scores from DxCG with the severity score within
Medstats Episodes Grouper to fairly evaluate
physicians and pay for the best performance.
Medstats Episodes Grouper Severity-adjustment
within Episode
DxCGs HCC Model Whole-patient Relative Risk
Score
Risk-adjusted Episodes
12Developing the Risk-Adjusted Episode Model
- MarketScan database
- Only complete episodes with enough time for claim
run-out - 20 million episodes in 2002
- Regression models incorporating
- MEG
- Disease Stage
- DCG/HCC Prospective Relative Risk Score
- Predict episode cost within each MEG
13Improvements in Predictive Power (R2)
14Overview of BCBS of South Carolinas Profiling
Efforts
- 1 million enrolled members
- Provider Contracting deals with over 1600
physicians - Profiling effort began in 1998, using the MEGs.
- Profile specialists with more than 100 members on
episode cost and use information and compare to
specialist norms
15Risk-Adjusted Episode Profile for Internal
Medicine / General Practice
16Performance Ratios by Physician
- Performance ratios for most physicians (the ratio
of actual / expected ) are similar between the
two methods. - Some physicians performance ratio changes
significantly when we add patient risk to the
adjustment.
Adjusted using episode group and stage Adjusted
using episode group, stage and patient risk
Physician H moved from an outlier to practicing
within expected range Physician D is even
more of an outlier
17Physician D Drill Down
This physicians patients have consistently lower
illness burden than expected.
18Physician H Drill Down
Physician H moves from an outlier to within the
norm due to treating more severely ill patients.
19Conclusions
- Episode costs increase with the severity of the
disease (MEG) and disease burden of the patient
(RRS) - Considerable variation in episode costs leaves
room for risk adjustment - Organizations can improve the accuracy of
provider performance assessments using
risk-adjusted episodes. This is important for
ensuring equitable pay-for-performance. - Plans are underway to incorporate risk-adjusted
episodes into the Medstats standalone episode
grouper and Advantage Suite.