The Impact of Encounter Data on Risk Adjustment Operations
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Transcript The Impact of Encounter Data on Risk Adjustment Operations
The 2016 Advance Notice of Methodological
Change
February 25, 2015
Presented by: Richard Lieberman
TODAY’S AGENDA
• A new feature: “30 Days in 30 Seconds.”
• A fact-based survey of health reform events!
• Plan payment rates for contract year 2016
• Changes to risk adjustment
• In-home assessments
• Quality measurement
WHO ARE WE?
Mile High Healthcare Analytics is a recently founded population
health analytics enterprise.
Richard Lieberman is the Chief Data Scientist who has been
actively involved in the development of risk adjustment and
quality measurement systems for over 20 years
Duke Owen, an expert in the NCQA and PQA quality measure
certification process, among other talents!
• Eric Olmsted is a Senior Consultant with 15 years of experience
designing, implementing and evaluating total population health
management programs
“30 DAYS IN 30 SECONDS”
• Medicaid Expansion: Indiana agrees to a comprehensive
expansion that will cover 350,000 residents
• Alabama, Florida, Idaho, Utah and Wyoming are considering
expansion
• In 2013 U.S. health care spending increased 3.6 percent to reach
$2.9 trillion, or $9,255 per person, the fifth consecutive year of
slow growth in the range of 3.6 percent and 4.1 percent.
• The share of the economy devoted to health spending has remained
at 17.4 percent since 2009 as health spending and the Gross
Domestic Product increased at similar rates for 2010 - 2013
“30 DAYS IN (another) 30 SECONDS!”
• HHS' announced that 11.4 million people are now signed up for
exchange coverage
• The briefs are filed in King v. Burwell (see,
http://www.scotusblog.com/case-files/cases/king-v-burwell/)
• Nearly 69 million Americans were enrolled in Medicaid or CHIP in
November 2014
• This is a 17.5 percent increase, or about 10.1 million people, over the
July-September 2013 baseline
• The data also show a 25.5 percent increase in enrollment in states
that expanded Medicaid
• 7 percent enrollment increase in those states that did not expand
Medicaid eligibility
HOW MUCH ARE WE REALLY SPENDING?
• According to CBO’s January 2015 baseline, the
ACA’s coverage provisions will cost $76 billion in
2015
• The average exchange subsidy per subsidized
individual is $4,330
• The $64,000 question is: will we save enough
money to offset the ACA’s expenditures?
• The federal government has pegged the cost of
readmissions for Medicare patients alone at $26 billion
annually, and says more than $17 billion of it pays for
return trips that need not happen if patients get the right
care
WILL ACA BEND THE COST CURVE?
• Tenet Healthcare Corp. saw patient volume rebound in the
fourth quarter of 2014
• Same-hospital admissions increased 4% and were up 4.5%
when adjusted for outpatient activity
• The number of paying admissions similarly increased 6.1%
• Those numbers led to an operating margin of 7.5% for the
fourth quarter compared with 4.3% in the prior-year period
• Net income increased to $61 million on nearly $4.5 billion in
revenue compared with a net loss of $24 million on $3.9 billion
in revenue in the fourth quarter of 2013
• Uninsured and charity admissions declined 62.4% in its five
states that expanded their Medicaid programs
•
ARE WE CUTTING MEDICARE-ADVANTAGE
PAYMENT RATES AGAIN?
• Well, it depends upon whom you
ask!
• The annual announcement of
benchmark rates has become
unnecessarily politicized
• Medicare-Advantage payment rates
are far too complicated to be fought
about in the “mainstream” media
and by advocates issuing reports to
the internet
BACK IN 2014, IT WAS A GREAT DEAL
SIMPLER TO UNDERSTAND
• The annual change to
Medicare-Advantage rate
book was determined from
several formulas using:
• The National Per Capita MA
Growth Percentage
• FFS USPCC Growth
Percentage
• Several tables defined by
the ACA
FROM THE BETTER MEDICARE ALLIANCE
MA RATE SETTING ANNOUNCEMENTS ARE
ALL ABOUT SPIN
THE BENCHMARK AND THE AFFORDABLE
CARE ACT
• Since 2006, MA Plans have “bid” to participate in MedicareAdvantage
• Plans prepare a set of utilization and cost estimates by type of
service that resolve to a pmpm rate
• Cost estimation uses a combination of experience and
manual rates, trended to the subsequent contract year
• The cost estimates are adjusted for each county the Plan is
authorized to service
• The cost estimates comprise what is known as the
Standardized Part A/B bid
• “Standardized” refers to a risk score 1.0
WHAT IS THE BENCHMARK?
• Each year (the first Monday in
April), CMS publishes a “rate book”
• The rate book contains the
maximum amount that it will pay an
MA Plan in each county of the
United States
• These county-specific rates are
known as Standardized Part A/B
benchmark rates
• Each county rates assumes that
the population has a risk score
of 1.0
• Since 2012, star ratings are
integrated into the rate book
HOW THE RISK SCORE FITS INTO THE
BIDDING PROCESS
• Every April, CMS estimates contract-level risk scores for
plans to use in the bid development process
• Typically, they use a member-cohort with the following
characteristics
• Enrolled in the contract on July 1, 2014
• Were continuously eligible for Medicare for the prior 12
months
• This year, the risk score estimation process will be
complicated by the transition to EDPS
BID VS. BENCHMARK
• Bids are submitted by MA Plans to CMS on
the first Monday in June
• If the bid is less than the benchmark, the MA
Plan does not have to charge a supplemental
premium
• If bid exceeds the benchmark, a supplemental
premium must be charged
• Impact of Star-ratings: Contracts at the 4-Star
level or higher bid against contracts with
similar Star ratings; contracts with less than 3Stars bid against “lower-quality” contracts
THE AFFORDABLE CARE ACT (ACA) AND
RATE SETTING
• The ACA mandated a transition from the historical
“administrative price system” which was based on a
historical national benchmark that increased every year
• The county-specific rates had to increase at least 2 percent
each year, prior to ACA implementation
• ACA mandated that maximum rates paid to MA Plans (the
Standardized Part A/B benchmark) transition to Medicare
FFS spending in each county over a period of 2, 4 or 6
years
• The transition policy created two rates to be blended together
• The applicable amount (Pre-ACA rate)
• The specified amount (Post-ACA rate)
CHANGE TO APPLICABLE AMOUNTS FOR
2016
• The applicable amount is the pre-ACA
rate
• CMS proposes to increase the
applicable amount by 2.68 percent for
contract year 2016
• Only 6-year phase-in counties are
impacted by the applicable amount
• About 32 percent of MedicareAdvantage enrollees reside in 6-year
“phase-in” counties
• This figure will be impacted by CMS’
decision to rebase FFS rates for 2016
THE SPECIFIED AMOUNT IN 2016
• The specified amount is the post-ACA rate
• The specified amount is the sole driver of
the benchmark rates in 2-year and 4-year
transition counties
• Derived from estimates of Medicare FFS
spending
• CMS proposes to increase the specified
amount by 1.47 percent for contract year
2016
• This proposed increase is likely to change
because historical Medicare FFS
expenditures will be rebased for 2016
IMPACT OF THE SPECIFIED RATE PHASE IN
• “2-year” and “4-year” counties are fully phased-in to ACA
rates
• Standardized Part A/B benchmark is based solely on specified
amount
• 68 percent of MA enrollees
• “6-year” counties in 2016 are 1/6 applicable amount and 5/6
specified amount:
• 32 percent of MA enrollees
• The specified amount may increase by 1.47 percent
GEOGRAPHIC ADJUSTMENT OF USPCC
• The “competitive bidding” process requires
benchmark rates at the county level
• CMS doesn’t tabulate FFS Medicare costs by
county (too unstable year-to-year)
• There is a geographic adjustment factor for each
county derived from a five-year rolling average of
FFS Medicare claims
• CMS will rebase the geographic adjustment factor
for 2016
• This results in a very small positive adjustment
to projected costs: $797.59 in 2016 vs. the
previous projection of $794.81 (an increase of
0.3%)
CODING INTENSITY ADJUSTMENT
• Coding intensity adjustment will rise to 5.41 percent for
2016
• The American Taxpayer Relief Act of 2012 (P.L. 112-240)
increased the maximum coding intensity adjustment to 5.9
percent
• To be implemented no later than contract year 2017
• CMS believes it has ample empirical data showing that
actual morbidity levels do not vary between FFS and MA
• Three different investigations described in Advance Notice
• Beginning in 2017, CMS proposes to use the ratio of
change in FFS risk scores to the change in MA risk scores
as a replacement for the statutorily-mandated coding
intensity adjustment
PROPOSED CHANGES TO RISK
ADJUSTMENT FOR 2016: PART C
• For Part C, the blend of the “old” (version 12) HCC model with
the “new” (version 21) HCC model will end
• Over the last two years, the blending formula was a component of
“the spin” used to demonstrate that ACA-mandated cuts to the
benchmark rates were smaller than anticipated
• In 2015, the risk scores were calculated using a 67/33 percent
blend of the “old” model vs. the “new” model
• CMS will adopt the “2014 CMS-HCC Model (version 21) as the sole
model for calculating risk scores
• Certain diagnosis codes no longer yield increased risk scores:
chronic renal failure, stages 1-3, diabetic neuropathy (as a
stand-alone HCC), and old myocardial infarctions
SOURCE OF DIAGNOSIS CODES
• Since the inception of comprehensive risk adjustment in
2004, the sole source of diagnosis codes were RAPS files
• RAPS are a very limited extract from claims data: five fields,
with filtering the responsibility of the plan (or its vendor)
• CMS has “threatened” to sunset the RAPS submission
process for several years
• EDPS data has been collected since 2012, but is fraught with
concerns about its completeness
• For 2015, diagnosis codes from EDPS were added to RAPS
data, using the two sources in tandem (with no preference
for one over the other)
SOURCE OF DIAGNOSIS CODES: EDPS vs.
RAPS
• Beginning in 2016, CMS proposes to
calculate risk scores by blending 90
percent of the score from RAPS with
10 percent of the score from EDPS
• Deficiencies in the EDPS data stream
will, for the first time, alter a contract’s
aggregate risk score
• Sun setting RAPS transfers the
responsibility for diagnosis code
filtering from plans and vendors to
CMS
WHAT PLANS SHOULD WORRY ABOUT
• CMS may filter diagnosis codes incorrectly. But if they do,
they will identify the error(s) (eventually) and fix them
(eventually).
• But MA Plans are far more at risk from:
• Unpaid claims that do not make it into the encounter data
base in the first place. Focus on the reporting of alternative
payment arrangements
• Incorrectly filtered data in RAPS files
• Impact of the ICD-10 cut over on October 1, 2015
• Are you testing impact on risk score of conversion of ICD-10
codes to ICD-9-CM?
PROPOSED CHANGES TO RISK
ADJUSTMENT FOR 2016: PART D
• Significant changes to the RxHCC (Part D) Model:
• Model revisions to map to the 2016 benefit structure
• Clinical update to the diagnoses included in some prescription
drug hierarchical condition categories
• Inclusion of MA-PD data in the model calibration
• Updates to data years used to recalibrate the model
IN-HOME ASSESSMENTS
• CMS probably decided that trying to
disallow diagnosis codes from HRAs
that were not subsequently “treated”
represented a “third rail” (not worth
stepping on!)
• But the latest proposal represents a
radical change in how HRAs can be
deployed
• The proposed changes appear to
represent a good step forward in
developing the HRA as a positive force
for clinical improvement
NEW COMPONENTS OF HEALTH RISK
ASSESSMENTS
• All components of the annual wellness visit,
including a health risk assessment
• Medication review and reconciliation
• Scheduling appointments with appropriate
providers and making referrals and/or
connections for the enrollee to appropriate
community resources
• Conducting an environmental scan of the
enrollee’s home for safety risks, and need for
adaptive equipment
NEW COMPONENTS OF HEALTH RISK
ASSESSMENTS (cont.)
• A process to verify that follow-up care is
provided
• A process to verify that information obtained
during the assessment is provided to the
appropriate plan provider(s)
• Provision to the enrollee of a summary of the
information, including diagnoses, medications,
scheduled follow-up appointments, plan for care
coordination, and contact information for
appropriate community resources; and
• Enrollment of assessed enrollees into the plan’s
disease management/case management
programs
BUT THEY ARE NOT GOING TO CHECK (yet)!
• While not specifically part of the current
CMS audit guidelines, these new HRA
requirements can be evaluated as a
component of vendor oversight
• EDPS data can be used to test for
subsequent actions following an in-home
assessment
• The OIG will now have requirements to
build a work plan item around
• Part C RACs, which still looming could
have a field day with these requirements
PLAN RESPONSES TO NEW IN-HOME
ASSESSMENT REQUIREMENTS
• These new requirements will require a
substantial change in how Plans approach
in-home assessments
• Just transferring the responsibility for risk
score optimization to vendors will no longer
work
• Vendors can take on more of the burden,
but many of these requirements must be
done directly by the plan
• HRA instruments used by vendors and
plans will have to undergo significant
revision
QUALITY IMPROVEMENT: STARS
• There has been a substantial push from plans and advocates
to blunt the impact of lower Star-ratings attributable to sociodemographically disadvantaged members (e.g., duals, SNPs,
etc.)
• The evidence of the impact is variable: some plans with large
concentrations of duals have Star-ratings consistent with the
broader population. Plans with smaller concentrations of
disadvantaged members seem to be adversely impacted
• CMS is reluctant to create lower quality expectations for
socio-demographically disadvantaged members
• Many duals are moving into Medicare-Medicaid plans, which
are not subject to Star-ratings
FURTHER EMPHASIZING OUTCOME
MEASURES
• As an interim step toward blunting the impact of
disadvantaged members on Star-ratings, CMS has
proposed to reduce by half the weights for:
• Breast Cancer Screening
• Colorectal Cancer Screening
• Diabetes Care – Blood Sugar Controlled
• Osteoporosis Management in Women who had a Fracture
• Rheumatoid Arthritis Management
• Reducing the Risk of Falling
QUESTIONS?
Send your questions to:
[email protected]
MILE HIGH HEALTHCARE ANALYTICS
CAN ASSIST YOU…
• With Medicare-Advantage bidding season on the horizon, do
you have accurate risk scores to produce the optimal bid?
• We design, transform, and load data into data warehouses
• Redesign of the HRA process and oversight of the process
• The Quality Rating System (QRS) beta test puts significant
data requirements in front of overworked issuers. The QRS
measures pose significant complexities, particularly around
continuous enrollment requirements
• It’s a new year for Stars, and the majority of MedicareAdvantage enrollment is moving to plans with 4-stars or more
NEXT WEBINAR
• Mile High Healthcare Analytics is committed to our free webinar
series. We will continue to present key risk adjustment and
performance improvement topics to health plans and provider
groups on a monthly basis throughout the year.
• Our next webinar will be held on March 19, 2015 at 2 p.m.
Eastern time. This webinar will take a deeper dive into quality
improvement, for both Medicare-Advantage plans and
Exchange issuers
• Register at: http://www.healthcareanalytics.expert/news-andevents/free-webinar-series/
AHIP WEBCAST SPONSORED BY ORACLE
HEALTH INSURANCE
Richard Lieberman will be the primary presenter on,
“The Changing World of Value Based Payments.”
April 9, 2015
Details to follow- please check the AHIP website
(http://www.ahip.org/eventcalendar/) or the Mile High website
(www.healthcareanalytics.expert).
CONTACT INFORMATION
Richard Lieberman
[email protected]
or
[email protected]
720-446-7785 (voice)
www.healthcareanalytics.expert
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