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Chapter 4 of TAP 15: Forecasting the Cost of Chemical Dependency
Treatment Under Managed Care: The Washington State Study
Chapter 4Major Elements of an Actuarial Study
As noted in Chapter 2, an actuarial study is an estimate of the cost of a
specific plan. An actuarial estimate is usually expressed in terms of cost of a
specified package of benefits per covered person per month, or "net cost
per member per month" (PMPM). This form of the estimate is traditional for
insurance companies, since it translates directly into a monthly premium, which
is how insurance companies typically charge their enrollees. This estimate may
also be referred to as a "premium" or "capitation,"
although these terms are more properly applied to the purchase price for actual
plans, not the actuarial estimated cost to the plan maker. An insurer or a
health maintenance organization might set a premium or capitation higher or
lower than the actuarial estimated PMPM, based on marketing judgments.
In creating the PMPM estimate for a plan, an actuary first estimates
separately the cost of each service in the benefit package. For example, if the
chemical dependency treatment benefit is to include inpatient treatment and
outpatient treatment, the actuary first estimates a PMPM for inpatient
treatment and a separate estimate for outpatient treatment and then combines
the two estimates with appropriate weightings to get a final single PMPM.
(Washington State's actuarial study had six separate covered treatment
services: hospital-based inpatient, freestanding short-term residential,
long-term residential, regular outpatient, intensive outpatient, and methadone
treatment.) Separate estimates may also be needed for various segments of the
population, depending on what is known about the population segments' use of
services. As with the various benefits, a final analysis weights all the
separate estimates and combines them into a single PMPM estimate for the entire
covered population.
Actuarial estimates are based on empirical data wherever possible. The data
in an actuarial study typically include payment and enrollment figures that the
actuary has obtained from insurers and medicaid and medicare data obtained from
State government or the Federal Government.
The Washington State study used both national and statewide data. Less
confidence was placed in the national data, because national data may reflect
factors not relevant to individual States. For example, State poverty rates may
be significantly lower than the national norm. National data also may not
reflect influences that are of great local importance, such as the collapse of
a particular industry or local laws prohibiting alcohol possession or sales. In
some situations, State data were unavailable or were based on too few covered
lives to be reliable, making national data, despite the drawbacks, the best
available.
An actuarial estimate requires data about three factors: the annual
utilization of each service in the benefit package by the covered population,
the duration of each service (the average number of units used per admission),
and the average cost per unit for each service. The basic actuarial formula is
as follows (its terms are defined below):
| annual
utilization rate | X | average units per admission | X | average cost per unit | | |
|
= | PMPM | |
| 12 | |
| | |
"Utilization" means the frequency of admission to treatment
service by the covered population (or a particular covered population segment).
This usage of the term is different than the typical sense found in chemical
dependency treatment, where it means the percentage of capacity of a program
that is actually delivering services or occupied by patients. The actuarial
sense of "utilization" is the proportion of a covered population that
will use a particular service during a specified period (usually 1year).
Utilization is computed by dividing the total number of admissions expected
from the covered population by the size of the covered population. Utilization
is usually expressed in terms of the number of admissions per 1,000 insured
lives (covered persons) per year.
Utilization is different for each service in a benefit package. Some
covered individuals are admitted only for outpatient care, some are admitted
only for inpatient care, and some are admitted only for detoxification; many
are admitted to multiple modalities. This service mix varies from State to
State, depending on therapeutic traditions and facilities available. For
example, most detoxification and short-term "in-patient" treatment in
Washington is done in freestanding residential facilities rather than in
hospitals. Washington's utilization patterns are different from those of the
rest of the country, and they probably will remain so after the implementation
of health care reform.
Washington needed its actuary to use local practices and data to estimate a
separate utilization rate for each modality of service in the benefit package.
Washington's actuary calculated separate utilization estimates for six
modalities (Table 4A): medically managed inpatient (meaning
hospital-based detoxification and treatment), nonmedically managed 30-day
residential treatment (in non-hospital-based facilities), non-medically managed
long-term residential treatment (over 30 days), intensive outpatient treatment
(including "day treatment" and "partial hospitalization"),
regular outpatient treatment, and methadone treatment (including both
detoxification and maintenance; methadone treatment is referred to as "opiate
dependency treatment" in Appendix B, to incorporate other approved
substitute chemotherapies that may be used in the future).
Utilization data are typically derived from historical admission patterns
from a known population. Insurance payment records, medicaid records, and
medicare records are typical sources. Of these, insurance records are typically
the most numerous and most complete. Since insurance records are maintained by
organizations that historically have relied heavily on actuarial studies and
know that they will need them in the future, they are reliable, complete, and
numerous enough to generate estimates that are likely to prove accurate.
Washington has a large and fairly detailed set of data from its
computerized client information system. The State hoped to use these data in
determining actuarial costs, but in practice, this system provided little of
value. In general, State and local substance abuse management information
systems are weak data sources for deriving utilization estimates. These systems
may record the number of admissions (plus detailed data regarding persons
admitted), but they cannot record data on the eligible members of the covered
population who have not been admitted. The size and composition of the
population from which these admissions are drawn can only be roughly estimated.
This lack of "denominator" data means there is too much uncertainty
regarding the rate of admissions. If State substance abuse management
information systems are to be used to estimate utilization, an additional data
source must be available from which accurate denominators can be drawn.
In actuarial studies, "duration of service" is a consistent
measure of service intensity and answers the question, How many units of
service does the average patient receive per admission? For residential and
inpatient modalities, duration of service is expressed as days of treatment.
For outpatient services, duration is expressed in terms of number of events,
meaning individual or group counseling events. (The analysis assumes that the
ratio of individual counseling to group counseling does not change. Such an
assumption may be challenged, particularly where the plan anticipates strong
cost containment measures.) Methadone treatment may be measured in events or
days. Washington State chose days for metha-done, because the data on "days"
were considered more accurate than the data on "events," and choosing
days avoided the need to assume minimal variation in the ratio between
individual counseling and group counseling.
Table 4A.Washington State Utilization by Insured Population
____________________________________________________________________
| Prevalence category | Number per 1,000 |
| | Lifetime
prevalence of chemical dependency | 94.9 | | Annual need (17% of prevalence) | 16.6 | | Annual
utilization (73% of need) | 12.1 | | Total inpatient admissions (21.5% of utilization) | 2.6 |
- Hospital inpatient (4% of all inpatient)
| 0.1 |
- 30-day residential nonhospital
| 2.5 |
- Long-term residential
| 0.0 |
| Total outpatient admissions | 1.2 |
- Intensive outpatient (80% of all outpatient)
| 1.0 |
- Regular outpatient
| 0.2 |
- Methadone
| 0.0 |
_______________________________________________________________________
Insurance payment data bases typically include duration-of-service data, as
do medicaid data bases at the State level. Washington was able to use encounter
data from its substance abuse management information system (the problem of
inadequate data on the covered population does not affect estimates of
duration, because the duration calculation is the number of events divided by
the number of admissions).
Actuarial "cost of care" is the average amount paid per unit of
service by the patient or third-party payer. It is not the same as an average
treatment program's cost of providing care; rather, the actuarial cost is the
average amount that the insurance company or other payer has to pay to obtain
the care from the treatment provider. Because insurers like to negotiate
discounts, the actuarial cost is typically less than the treatment program's
usual and customary charge for a unit of care. The actuarial cost in many cases
may be lower than a treatment facility's average cost of providing care.
Fa-cilities must make up for such below-average payments by overcharging other
patients.
Actuaries prefer using insurance payments as the basis for estimating cost
of care because they are trying to forecast payments for specified periods.
From the point of view of an insurer, a treatment provider's average costs or
usual and costomary charges are only of concern insofar as they affect the
amounts that the insurer has to pay.
Provider average costs and usual and customary charges are clearly critical
to consider: driving providers into bankruptcy is in no one's best interest.
Still, there were compelling arguments that payment data were the best to use.
Insurance payment data are easier to obtain and more reliable than data on
provider average costs or usual and customary charges, and there are drawbacks
(described below) to both provider charges and provider costs as measures of
the cost of care.
Usual and customary charges of providers are a function more of marketing
judgments than of clinical or economic judgments. For example, a treatment
facility may establish a usual and customary charge much in excess of costs,
competitive rates, or actual collections simply to leave open the possibility
of collecting a large fee if anyone is willing to pay it. Actual provider costs
would be free of such marketing influence, but these data are difficult to
obtain. Questions about reasonableness, necessity, allowability and allocation
of costs, return on investment, marginal versus average costs, and other cost
accounting issues can make it very hard to estimate actual cost.
Finally, there is reason to believe that provider costs are determined more
by available revenue than by anything else. To a point, providers can
accommodate reduced revenues by being more efficienttrimming overhead and
reducing profit margins. Once these efficiencies are reached, providers can
only respond to lower revenues by reducing the amount of patient services or
the quality of care, or both. Higher revenues produce the opposite effect. If
providers are efficient, they are probably providing the best quality of care
possible for the amount of revenue they have. If the current level of quality
is acceptable, revenue should be a good proxy measure of the cost of providing
treatment.
The distinction between actuarial costs and provider average costs proved
nettlesome in discussions between the State and service providers concerning
the Washington study. Many service providers were angered and disheartened by
an estimate of actuarial costs for insured and medicaid populations that was
clearly below their own facility operating costs. To some extent, these
concerns were reiterations of complaints about inadequate reimbursement under
current reimbursement mechanisms. Providers were suspicious that the actuarial
study was just another way for State government to cut provider payments.
Health care reform introduced some circumstances where these concerns have
a new urgency. Chemical dependency treatment experiences a common health care
phenomenon known as cost shifting, where some patients (or their insurers) pay
more for a particular service and others pay less, depending on the market "muscle"
of the payer. The cost-of-care data that Washington obtained from insurance
payment data bases, medicaid data bases, contract and budget documents, rate
studies, and other sources yielded sharply different average costs for
different portions of the covered population, reflecting this cost shifting.
Washington's Health Care Reform Act, however, called for universal coverage,
with everyone paying a single "community rate." The problem was,
Which rate should the State use? If the lower rate were chosen, providers would
go broke; if a higher rate were chosen, plans would be paying for shifted costs
that would no longer occur.
The State's actuary developed a model to combine all these different
sources and estimates into a PMPM estimate that compensated for the end of cost
shifting. First, the actuary adjusted the best sources into the same time
period, using data on medical inflation rates. Next, the actuary weighted each
rate or cost estimate, based on the number of admissions expected at each rate
during each year of implementation, in order to arrive at an average cost
estimate. Since Washington's health care reform phases in various groups over a
4-year period, the weightings are different for each year.
Washington's actuarial cost-of-care estimate included a few items in
addition to the payment to the treatment provider. Allowances for the insurer's
administrative costs, the cost of the managed-care organization, and profits
were factored in. For simplicity, Washington did this with an across-the-board
marginal overhead factor. The Washington study assumed a rather low, 15-percent
overhead factor, anticipating that other aspects of State health care reform
would contain overhead costs.
Inflationary increases must be loaded into the cost-of-care formula to
bring historical data (usually at least 1 year old) into the forecasting period
(usually at least 1 year into the future). For Washington, there was some
concern over which inflation rate to use. Actuaries normally use only the
medical component of the Consumer Price Index when estimating inflation for
health care costs. In the past, Washington's legislature had used the whole
Consumer Price Index, which reflects changes in the general cost of living, for
budgeting increases in rates for chemical dependency treatment facilities.
Increases in the cost of medical care historically have exceeded increases in
the general cost of living by about a factor of 2. Except for medically
managed programs such as hospital-based inpatient treatment or detoxification,
chemical dependency treatment costs are not increasing faster than the general
rate of inflation. However, Washington chose to estimate conservatively,
using the medical component of the Consumer Price Index, which averaged a
5-percent increase in costs each year (Table 4B).
| Enrolled
(effective date): | | 7/1/95 | 7/1/96 | 7/1/97 | 7/1/98 | 7/1/99 | |
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| | Population subgroup | % of pop. | PMPM | % of pop. | PMPMa |
% of pop. | PMPMa | % of pop. | PMPMa | % of pop. | PMPMa |
| | All subgroups | 17 | $1.18 |
27 | $1.25 | 62 | $1.30 | 62 | $1.32 | 100 | $1.34 | | Insured |
16 | $1.13 | 25 | $1.19 | 46 | $1.25 | 46 | $1.31 | 70 | $1.38 | | Uninsured | 1 | 1.97 | 2 | 2.07 | 6 | 2.11 | 6 | 2.21 | 10 | 2.30 | | Medicaid | 0 | .91 | 0 | .96 | 10 | 1.01 | 10 | 1.06 | 10 | 1.11 | | Medicare | 0 | .29 | 0 | .30 | 0 | .32 | 0 | .33 | 10 | .35 |
PMPM aIncludes a 5-percent increase from the
preceding year for inflation.
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Last Updated 11-7-02
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