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Risk Adjustment in the Medicare ACO Shared Savings Program

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(1)

Risk

 

Adjustment

 

in

 

the

 

Medicare

 

ACO

 

Shared

 

Savings

 

Program

Presented by:

John Kautter

Presented at:

AcademyHealth Conference Baltimore, MD June 23-25, 2013

(2)

Introduction

Role of risk adjustment in the ACO Shared Savings

Program

CMS-HCC risk scores

Risk Adjustment in Historical Benchmark Period

(3)

Risk Adjustment: Overview

Risk adjustment is a method for adjusting expenditures

to account for differences in expected health costs of

individuals

Adjustment can take into account demographic

information (age, sex, eligibility) and health status

(diagnoses)

Why adjust?

 To account for changes in severity and case mix over time and

to more accurately set ACO performance targets.

 Recognize ACOs that care for complex patients, and not

(4)

CMS-HCC Risk Scores

 CMS-HCC (Hierarchical Condition Categories) risk scores

 The CMS-HCC model uses beneficiary demographic

characteristics and prior year diagnoses to predict relative Part A and Part B Medicare fee-for-service program payments

 The CMS-HCC model does not incorporate Medicare Part D

costs

 The CMS-HCC model is prospective, meaning it uses prior year

information to predict costs

 Same risk adjustment model used for Medicare Advantage

 Separate CMS-HCC models for

 Aged-disabled community and institutional

 ESRD

(5)

Demographic Factors Used in CMS-HCC

Risk Scores

 24 age-sex cells

 E.g., male age 80-84

 Medicaid dual eligible status

 By sex and aged vs. disabled entitlement

 Disabled status

 Current disabled:

• Separate age/sex and Medicaid factors

• Selected diagnoses have different risk weights

 Currently aged, originally entitled to Medicare by disability

(6)

Diagnoses Used in CMS-HCC Risk Scores

 The diagnoses used to calculate risk scores for fee-for-service

(FFS) beneficiaries are from FFS claims

 Use International Classification of Disease, Version 9, Clinical

Modification diagnosis codes (ICD9-CM)

 Diagnoses from the following settings/providers are used

 Hospital inpatient

 Hospital outpatient

 Physician

 Clinically-trained non-physician (e.g., clinical psychologist)

 The CMS-HCC model counts only the most severe manifestation

(7)

Hypothetical Illustrative Example of

Beneficiary’s Individual Risk Score

Calculation

 Beneficiary is male, age 77, with the chronic conditions: congestive

heart failure, diabetes with complications, and chronic obstructive pulmonary disease

 Risk adjustment model coefficients

 Male age 77 = $5,100

 CHF = $3,900

 Diabetes w/ comp = $3,300

 COPD = $3,700

 Beneficiary’s predicted expenditures are $16,000

 Average expenditures for all beneficiaries are $10,000

(8)

Risk Adjustment in Historical Benchmark

Period

 The CMS-HCC prospective risk adjustment models will be used to

calculate the ACO’s assigned beneficiary population’s risk scores for the benchmark years, which are used in calculating the historical

benchmark.

 Changes in the ACO’s risk score between benchmark years 1 and 3

will be used to trend forward benchmark year 1 expenditures. Similarly, changes in the ACO’s risk score between benchmark years 2 and 3 will be used to trend forward benchmark year 2 expenditures.

(9)

Risk Adjustment in Historical Benchmark

Period (cont’d)

BY1 BY2 BY3

   [C] Assigned Beneficiary HCC Risk Scores

ESRD 1.148 1.152 1.178

Disabled 1.002 1.004 1.007

Aged/dual 1.282 1.386 1.463

Aged/non‐dual 1.039 1.042 1.062

   [D] Risk Ratios to BY3

ESRD 1.026 1.022 1.000

Disabled 1.005 1.002 1.000

Aged/dual 1.141 1.055 1.000

Aged/non‐dual 1.022 1.019 1.000

BY1 expenditures will be adjusted by the BY1 to BY3 risk ratio (BY3 risk score

÷ BY1 risk score). Similarly, BY2 expenditures will be adjusted by the BY2 to

(10)

Risk Adjustment in Performance Years

 The benchmark will be annually adjusted for changes in health

status and demographic factors during the performance year.

 Newly assigned beneficiaries vs. continuously assigned

beneficiaries

1) Newly assigned beneficiaries in a given year = Beneficiaries

assigned to the ACO in that year but not assigned to the ACO in the prior year and not receiving primary care services from the ACO in the prior year.

2) Continuously assigned beneficiaries in a given year =

Beneficiaries assigned to the ACO in that year and assigned to the ACO in the prior year or receiving primary care services from the ACO in the prior year.

(11)

How to Determine Final Risk Scores to Use

in Adjusting Benchmark

 For newly assigned beneficiaries, an ACO's CMS-HCC prospective

risk scores will be annually updated in each performance year to

adjust the historical benchmark for changes in severity and case mix relative to the newly assigned population from the historical

benchmark period (BY3).

 For continuously assigned beneficiaries, patient demographic

factors will be used to adjust the benchmark to account for changes between the benchmark period and the performance year, unless the continuously assigned population shows a decline in its CMS-HCC risk scores, in which case health status changes for this

(12)

Example 1 –CMS-HCC Risk Score Used

for Continuously Assigned Beneficiaries

These risk ratios are multiplied by the historical benchmark dollars and added to the National growth increment to produce the ACO’s updated benchmark expenditures

Determine Final Risk Ratio

   [R5] Step 1 ‐ Calculate Risk Ratios Demographic Ratio: HCC Ratio: Weights

ESRD 1.017 1.006 6%

Disabled 1.000 1.015 10%

Aged/dual 1.015 1.011 14%

Aged/non‐dual 1.000 0.990 69%

Average (dollar weighted) 0.997

   [R6] Step 2 ‐ Final Adjusted Risk Scores HCC Score: Avg Adjusted Score:

ESRD 1.090 1.174

Disabled 1.050 1.044

Aged/dual 1.300 1.490

Aged/non‐dual 0.830 1.058

   [R7] Step 3 ‐ Final Risk Ratios Risk Ratio:

ESRD 0.997

Disabled 1.037

Aged/dual 1.018

Aged/non‐dual 0.996

1.080 1.040

Risk Score to use:

1.200 1.540

Dollar weighted average risk ratios

Historical Benchmark $ x Continously Assigned Person Years

Weighted average of PY1 HCC score for newly assigned plus appropriate risk score for continously assigned

PY1 average adjusted score / BY3 average HCC score

Because dollar weighted average HCC risk ratio is less than one, use HCC risk ratio for continuously assigned

(13)

Example 2 – Demographic Factors Used

for Continuously Assigned Beneficiaries

These risk ratios are multiplied by the historical benchmark dollars and added to the National growth increment to produce the ACO’s updated benchmark expenditures

Determine Adjusted Benchmark

   [R5] Step 1 ‐ Compare Risk Ratios Demographic Ratio: HCC Ratio: Weights

ESRD 1.017 1.065 6%

Disabled 1.000 1.021 10%

Aged/dual 1.015 1.031 14%

Aged/non‐dual 1.000 0.996 69%

Average (dollar weighted) 1.008

Newly Assigned

   [R6] Step 2 ‐ Final Adjusted Risk Scores PY1 HCC Score: Avg Adjusted Score:

ESRD 1.090 1.183

Disabled 1.050 1.035

Aged/dual 1.300 1.494

Aged/non‐dual 0.830 1.067

   [R7] Step 3 ‐ Benchmark Adjustment Risk Ratio:

ESRD 1.005

Disabled 1.028

Aged/dual 1.022

Aged/non‐dual 1.005

1.546 1.090 1.025 Risk Score to use:

1.212

Continously Assigned

Dollar weighted average risk ratios

Because dollar weighted average HCC risk ratio is greater than one, use demographic ratio for continuously assigned

Weighted average of PY1 HCC score for newly assigned appropriate risk score for continously assigned

PY1 average adjusted score / BY3 average HCC score

Historical Benchmark $ x Continously Assigned Person Years

(14)

Incorporated Risk Scores in Adjusted

Benchmark

 Risk ratios are multiplied by the historical benchmark dollars and

added to the National growth increment to produce the ACO’s updated benchmark expenditures

(15)

Wrap-up – Risk Adjustment for the

Medicare Shared Saving Program

 Risk adjustment helps to more accurately establish an ACO’s

performance target, that is used to measure the ACO’s financial performance.

 Risk adjustment methodology reflects changes in health status of an

ACO’s assigned beneficiary population over time, both in

establishing the historical benchmark and during the performance year.

 Risk adjustment is performed at the population level, taking into

References

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