Inside the Black Bos: How Actuaries Price June 8th, 2004

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Inside the Black Bos: How Actuaries Price
Health Insurance
June 8th, 2004
Agenda
Inside the Black Box: How
Actuaries Price Health
Insurance
Academy Health Annual Research
Meeting
Discuss historical drivers of trend.
Discuss the different ways to define “trend”.
Discuss the components that impact medical expense
trends.
June 8th 2004
Lisa F. Tourville, ASA, MAAA
Vice President
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Top 10 Trend Drivers by Category
Top 10 Trend Drivers by Condition
Contribution to Trend based on Change in PMPM
Contribution to Trend based on Change in PMPM
Poorly Diff.
Neoplasms
Skin/Mucus
Surg-Mult.
DRGs
Kid and Urin
Tract
Contraceptives
Resp.
System
Digestive
System
Preg;
Childbirth
Nervous
System
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Chronic renal
failure
Sprains and
strains
Myocardial
Infarction
Breast cancer
Arthritis
Abdominal
pain
Maintenancy
chemotherapy
Liveborns
Low back pain
Ischemic heart
disease /
chest pain
Autonomic
Gastro
Hormones
Psychother.
Anti-Inf
Cardio
Cen. Nerv.
Unclassified
Dialysis
Pharm acy by Therapeutic Class
DME;
Supplies
Clinical Lab
Observation
Lab & Path
Rx - Facility
Misc OP
Facility
E.R.
OP Surg
Radiology
Outpatient by Service Category
Newborns
Musc; Conn.
Tissue
Circ. System
E.R. Med.
Cardiology
OB Gyn
Inpatient by Major Diagnostic Category
Chiropractic
Pediatrics
Orthopedics
Internal Med.
Fam/Gen Prac
Hem. and Onc.
Anesthesiology
Physician by Specialty
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Different Views of “Trend”
Financial
Product Mix
ƒ Net Trend
Benefit Plan
Change
Demographics
Underwriting
ƒ Underlying Medical Expense Trend (pulling out business mix
components)
Health Tech
Pipeline
Clinical
ƒ Allowed Trend
ƒ Total provider reimbursement
ƒ Payer + Patient liability
ƒ Price, Volume and Intensity
Components of Medical
Expense Trend
Included in the Ingenix
Trend Forecast Model
2004 AcademyHealth Research Conference
Leveraging
Baseline
Utilization
Workday
Core Unit Cost
/ Price
Regulatory
Policy Process
Inside the Black Box: How Actuaries Price Health Insurance
Cust/Indy Mix
Geographics
ƒ Payers’ liability
ƒ Excludes patients’ out of pocket expenses
SG UW Wearoff
© 2003 Ingenix, Inc.
Inside the Black Box: How Actuaries Price Health Insurance
Intensity/Mix
© 2003 Ingenix, Inc.
1
Inside the Black Bos: How Actuaries Price
Health Insurance
June 8th, 2004
Demographics
U.S. Population Pyramids
Ingenix Trend Forecast Model
2000
Member Months
Allowed Trend
PROFILE OF NET TREND
Business/Product Mix Components
Demographics
Geographic Mix
SG UW Wear-Off
Product Mix
Customer/Industry/Other Mix
Benefit Plan Changes
Business/Product Mix Total
2001
2002
2003
2004
2005
4,532,024
4,902,426
4,044,900
3,158,935
2,992,874
2,967,328
13.1%
14.3%
13.6%
9.5%
11.9%
10.8%
Projected 2025
Male
Female
Female
Sample
2.1%
0.0%
0.2%
0.0%
0.0%
-1.7%
0.5%
2.0%
0.0%
0.0%
0.0%
-0.4%
-1.5%
0.1%
1.2%
0.0%
-0.1%
0.1%
-1.9%
-1.8%
-2.5%
-1.1%
0.0%
-0.1%
0.0%
-0.6%
-3.5%
1.2%
0.0%
-0.3%
0.0%
0.0%
-3.2%
1.2%
0.0%
-0.1%
0.1%
0.0%
-3.2%
-5.1%
-2.2%
-2.1%
4.8%
5.3%
0.2%
0.6%
0.0%
0.0%
-0.1%
6.3%
5.7%
0.0%
0.7%
0.0%
0.0%
0.1%
5.3%
8.2%
0.4%
1.1%
0.2%
0.0%
-0.1%
0.5%
7.1%
3.3%
1.0%
0.2%
0.0%
0.0%
2.3%
6.0%
1.3%
0.9%
0.2%
0.1%
0.6%
3.4%
4.7%
1.4%
0.8%
0.2%
0.0%
-0.5%
Core Trend Total
11.2%
13.3%
15.8%
12.5%
11.7%
10.3%
Net Trend Total
11.8%
13.4%
12.8%
6.8%
9.2%
8.0%
Core Trend Components
Core Utilization (Includes Health Tech.)
Core Unit Cost
Mix of Services (Includes Health Tech.)
Leveraging
Regulatory Mandates
UHG Policy/Process Changes
Work/Calendar Day Adjustments
2000
Male
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Demographics
U.S. Population Pyramids
Unless the U.S. population “pyramid” holds the same shape from year to
year, there will be an impact on trend due to demographics.
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Variation by Health Cost Category
and Geographic Region
2050
Male
Female
2050: And
people wonder
why we’re so
worried!
Source: TrendAlertTM
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Customer / Industry Mix
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Workday/Calendar Adjustments
The impact on Net Trend of One New Group
PMPM costs are highest on
Mondays. Friday costs are
the lowest of the regular
work week.
1.5%
The membership for this new
group equaled 1% of the total
block of business yet they
contributed 40 bps to total net
trend in their first year.
12.5%
12.0%
11.5%
1.0%
0.5%
Including
Excluding
11.0%
10.5%
0.0%
-0.5%
-1.0%
Inside the Black Box: How Actuaries Price Health Insurance
2004 AcademyHealth Research Conference
© 2003 Ingenix, Inc.
Inside the Black Box: How Actuaries Price Health Insurance
2004q1
2003q1
2002q1
Q3
2001q1
Q2
2000q1
Q1
1999q1
9.5%
1998q1
-1.5%
1997q1
10.0%
Considering the experience
period and projection period
when experience rating,
calendar make-up can have a
significant impact!
2005q1
13.0%
© 2003 Ingenix, Inc.
2
Inside the Black Bos: How Actuaries Price
Health Insurance
June 8th, 2004
“Consumer” Demand
Morbid Obesity Admits per 1,000
“Consumer” Demand
Colonoscopies per 1,000
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Consumer Demand
Inside the Black Box: How Actuaries Price Health Insurance
Health Technology Pipeline
Be aware of what’s coming down the pipeline.
Proactively manage your business to control unnecessary
costs.
What to look for:
ƒ
ƒ
ƒ
ƒ
ƒ
ƒ
ƒ
ƒ
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Expected Release Date: Q1 2005
Impact Grades in linearly over 4 quarters
Ultimate Utilization: 97 per 1,000
Expected Technology Cost: $165 (off-setting costs: $0)
Peak PMPM: (97*(165-0)/12000) = $1.33
HCC Split: Professional = 20%; Ancillary = 80%
2004
PMPM
$
-
Change in PMPM
Medical Trend Impact1
(estimated PMPM = $160)
1
2005
2006
2007
$
0.83
$
1.33
$
$
0.83
$
0.50
$
0.5%
0.3%
1.33
0.0%
© 2003 Ingenix, Inc.
2008
$
140
120
-
$ 0.90
$ 0.80
$ 0.70
80
$ 0.60
$ 0.50
60
$ 0.40
40
$ 0.30
$ 0.20
$ 0.10
0
0.0%
$ 1.00
100
20
1.33
$
A generic equivalent is
introduced to the market.
Total scripts reduce
slightly. Overall costs
decrease significantly.
PMPM
Inside the Black Box: How Actuaries Price Health Insurance
Scripts per 1,000
New treatments
New devices
New diagnostic tests
Changes in guidelines
Brand name patent expirations
Move from prescription to over-the-counter
Changes in FDA status
New medications
Pipeline Example:
Impact of Generics
Pipeline Example: OvaCheck™ Test
For Ovarian Cancer
© 2003 Ingenix, Inc.
$ 0.00
Generic Scripts
Brand Scripts
Combined PMPM
Impact on professional and facility allowed costs (excludes pharmacy)
Source: Ingenix Health Technology PipelineTM
Inside the Black Box: How Actuaries Price Health Insurance
2004 AcademyHealth Research Conference
© 2003 Ingenix, Inc.
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
3
Inside the Black Bos: How Actuaries Price
Health Insurance
June 8th, 2004
Pipeline: Understanding and
managing the problem
Core Unit Cost- Price
$20M
New Medical Developments as a whole
add significantly to Medical Trend
Brave New World, Old-Fashioned Fear: Advances
Are Coming At A Furious Rate-- Health Plans Find
It Difficult To Separate The Cost-Efficient From
The Rest
$15M
Technologies that
increase quality of care
and desired outcomes
ACTION: Encourage
adoption and incent
utilization
Therapeutic advantage
when appropriately
applied
ACTION: Limit use to
appropriate population
Therapeutic advantage
is unproven
ACTION: Restrict or
control utilization
John Carroll, Managed Care Magazine 2/1/2004
$10M
Six years ago, the health care economist Michael
Chernew concluded from a review of the evidence that the
driving force behind rising health care costs was new
technology. "It's not increased waste, it's not fraud, it's not
increased lawsuits, it's not the fact that people on average are
older -- all of that may contribute, but the predominant factor
relates to the development and utilization of new medical
techniques, of which there are an enormous number," he said
in a 1998 study.
$5M
The University of Michigan professor concluded that
“…but the predominant
factor relates to the
development and utilization
of new medical
techniques…”
Pro-actively addressing the impact
of new medical technologies could
save a 25,000 employee
organization $10 million annually
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Medical Care CPI
Rolling -3 Month Averages
12.0%
10.0%
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Cost per Day for Selected Markets
CPI is a combination of Non Par
and Par Revenues. Non Par
cost increases are generally
higher than Par. Result: Non
Par trend impact is likely higher
than CPI.
14.0%
Models have been developed and are used to assign a
value to existing contracts (physician and facility).
Models are populated and forecasts are established using
all available information from contract negotiators working
directly with the providers.
Outlier provisions and percent of charge contracts leave
little protection to contract increases.
Non-par payment rates cause volatility in forecasts.
Mergers and closings result in variability of market share
and also impact results.
$3,100
11.1%
Trend Percentages
appear on the top of
each bar.
$2,900
$2,700
8.4%
8.0%
19.4%
15.4%
$2,500
21.6%
6.0%
12.2%
2004
$2,300
2003
4.0%
$2,100
17.4%
2.0%
9.1%
$1,900
Cost per Day varies
significantly by geographic
market. Contract negotiations
also vary.
Jun-03
Dec-03
Sep-03
Mar-03
Jun-02
Dec-02
Sep-02
Mar-02
Jun-01
Dec-01
Sep-01
Mar-01
Dec-00
Jun-00
Sep-00
Mar-00
Dec-99
Jun-99
Sep-99
Mar-99
Jun-98
Dec-98
Sep-98
0.0%
$1,700
Rolling Quarters
Physician
Hospital
IP Host
OP Hosp
$1,500
Pharmacy
Market A Market B Market C Market D Market E Market F Market G Market H
Consider the whole picture!
Adj'd Med CPI
Inside the Black Box: How Actuaries Price Health Insurance
© 2003 Ingenix, Inc.
Baseline Utilization and
Intensity (Mix of Services)
Inside the Black Box: How Actuaries Price Health Insurance
Benefit Plan Design
Impact of Tier Placement in Rx
Historical experience is normalized for all other identified
trend components.
Regression analyses are performed on units resulting in
possible forecasts.
Legislative and economical influences are considered
(health care reform, NHE, etc.).
Management initiatives of the client are considered.
Final projections are established using a combination of all
information gathered above and pass through an actuarial
peer review process.
60%
55%
A drug goes over the
counter. In tiered plans,
Brand #1 is placed in Tier 3
and Brand #2 is placed in
Tier 2.
50%
45%
40%
35%
30%
25%
Brand #1 - Tiered Plan
Brand #1 - Open Plan
Inside the Black Box: How Actuaries Price Health Insurance
2004 AcademyHealth Research Conference
© 2003 Ingenix, Inc.
© 2003 Ingenix, Inc.
Inside the Black Box: How Actuaries Price Health Insurance
Brand #2 - Tiered Plan
Brand #2 - Open Plan
© 2003 Ingenix, Inc.
4
Inside the Black Bos: How Actuaries Price
Health Insurance
June 8th, 2004
Inside the Black Box: How
Actuaries Price Health
Insurance
Contact Information
Lisa F. Tourville, ASA, MAAA
Vice President
12125 Technology Drive
Eden Prairie, MN 55344
Email: lisa.tourville@ingenix.com
Phone: 952-833-7559
2004 AcademyHealth Research Conference
5
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