3 Basic Steps in Economic Evaluation
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Transcript 3 Basic Steps in Economic Evaluation
Demand for Medical Services
Part 2
Health Economics
Professor Vivian Ho
Fall 2009
These notes draw from material in Santerre & Neun, Health Economics, Theories,
Insights and Industry Studies. Southwestern Cengate 2010
Outline
Empirical estimates of demand from the
literature
Practice problems
The RAND Health Insurance
Experiment
Example: Interpreting results from a
regression on abortion demand
Estimating Demand for Medical Care
Quantity demanded = f( … )
out-of-pocket
real
price
income
time costs
prices of substitutes and complements
tastes and preferences
profile
state of health
quality of care
Empirical Evidence
Demand for primary care services
(prevention, early detection, & treatment
of disease) has been found to be price
inelastic
Estimates
tend to be in the -.1 to -.7 range
A 10% in the out-of-pocket price of
hospital or physician services leads to a 1
to 7% decrease in quantity demanded
Ceteris paribus, total expenditures on
hospital and physician services increase
with a greater out-of-pocket price
Empirical Evidence (cont.)
Demand for other types of medical care
is slightly more price elastic than
demand for primary care
Consumers should be more price
sensitive as the portion of the bill paid
out of pocket increases
Out-of-Pocket Payments in the U.S.
1970 1980
2000
2007
National health expenditures ($b) $74.9 $253.4 $1,353.2 $2,241.2
% out of pocket
33.2% 22.9%
14.2%
12.0%
Hypothesis: Consumers are more price
sensitive if they pay a larger % of the health
care bill
The fall in the % of out-of-pocket
payments may explain the rapid rise in
health care costs
Out-of-Pocket Payments in the U.S.
Total Expenditures and % Paid Out-of-Pocket, 2007
Hospital care
Physician Services
Prescription Drugs
Nursing Home Care
Dental
$696.5
476.6
227.5
190.4
$95.20
3.3%
10.4%
20.9%
18.5%
44.2%
Hypothesis: Consumers are more price
sensitive if they pay a larger % of the health
care bill
Higher hospital and physician expenditures
may be due to the low % paid out-of-pocket
Out-of-Pocket Payments in the U.S. (cont.)
The previous 2 slides argue that:
insurance coverage expenditures
But it may be the opposite:
expenditures insurance coverage.
We cannot identify a causal effect
using just this data
Empirical Evidence (cont.)
Studies which have examined price and
quantity variation within service types
have found that:
The
price elasticity of demand for dental
services for females is -.5 to -.7
The own-price elasticity of demand for
nursing home services is between -.73 and
-2.4
Empirical Evidence (cont.)
At the individual level, the income
elasticity of demand for medical
services is below +1.0
The travel time elasticity of demand is
almost as large as the own-price
elasticity of demand
Little consensus on whether hospital
care and ambulatory physician services
are substitutes or complements
International Estimates of Income
Elasticity
Are health care expenditures destined to
consume a larger portion of GDP as GDP
grows?
Regression Analysis
Sample - developed countries
Ln(Real per capita
health expenditures)
Estimates
= a+b
Ln(Real per
capita income)
of b range between 1.13 and 1.31
+e
Applying Demand Theory to Real
Data
• Demand analyses in health care must take
insurance into account
•
Demand analyses are critical in shaping
managerial and public policy decisions
The Rand Health Insurance
Experiment
A large, social science experiment to study
individuals’ medical care under insurance
A large sample of families were provided
differing levels of health insurance coverage
Researchers
then studied their subsequent
health care use
The Sample
• 5,809 individuals, under 65
• 6 sites (Dayton OH, Seattle WA, Fitchburg MA,
Charlston SC, Georgetown County SC, Franklin
County MA)
• 1974 – 1977
• Cost : $80 million
Insurance Plans in the
Experiment
1. Free fee-for-service (FFS).
- i.e., no coinsurance
2. 25% copayment per physician visit
3. 50% copayment per physician visit
4. 95% copayment per physician visit
Insurance Plans in the
Experiment
5. Individual deductible
- $150 deductible for physician visits; all
subsequent visits free
6. HMO
- Not the same as free fee-for-service
- Since HMO receives a fixed annual fee, it seeks
to limit physician visits
Table 3.3. Sample Means for Annual Use of
Medical Services per Capita
Plans*
Face-to- Outpatient Inpatient Total
Face Visits Expenses Dollars Expenses
(1984 $)
Free
25%
50%
95%
Individual
deductible
(1984 $)
(1984 $)
Probability
Using Any
Medical Service
4.55
3.33
3.03
2.73
340
260
224
203
409
373
450
315
749
634
674
518
86.8
78.8
77.2
67.7
3.02
235
373
608
72.3
* The chi-square test was used to test the null hypothesis of no difference among
the five plan means. In each instance, the chi-square statistic was significant to
at least 5 percent level. The only exception was for inpatient dollars
Source : Willard G. Manning et al. “Health Insurance and the Demand for
Medical Care : Evidence from a Randomized Experiment,” American Economic
Review 77 (June 1987), Table 2
Results (cont.)
No statistically significant difference in
inpatient (hospital) expenses by insurance
type
Does
NOT necessarily imply inelastic demand
for hospital services
Experiment included $1,000 cap on out-ofpocket medical expenses; 70% of hospital
admissions costs $1,000 +
O As coinsurance ‘s, probability of ANY use ‘s
Results (cont.)
Own Price Elasticity of Demand
All Care
Copay 0-25%
Copay 25-95%
•
- 0.10
- 0.14
Outpatient Care
- 0.13
- 0.21
As consumers’ copayments drop, demand for
medical care becomes more price inelastic
The data confirms the theory
Results (cont.)
Free fee-for-service (FFS) versus HMO
coverage
No difference in physician visits found
But only 7.1% of HMO patients admitted
to hospital, versus 11.2% of FFS patients
• HMO patients cost 30% less than FFS patients
on average
• HMO’s do save money relative to FFS
Health Implications
The experiment verifies that coinsurance
demand for medical care
What are the implications for health
outcomes?
i.e restraining medical care expenditures is not
the only objective we care about, especially for
the poor
Health Implications (cont.)
Poor adults (lowest 20% of income distribution)
with high blood pressure experienced clinically
significant improvement under free FFS plan,
but not in cost sharing plan
Similar findings for myopia, dental health
Free FFS only improves health outcomes in 3
specific cases versus cost-sharing
If want to restrain costs and maintain health,
targeted programs at these 3 health problems is
more cost-effective than free care for all
services
Was it worth it?
Rand Health Insurance Experiment cost $80
million
Initial results published in 1981
In the next 2 years, # of insurance companies with
first-dollar coinsurance for hospital care
increased from 30% to 63%
# of insurance companies w/ annual deductible of
$200 + per person ‘d from 4% to 21%
Estimated cost saving from ‘d demand for
medical care = $7 billion
Government sponsored studies often yield important
knowledge for business
Conclusions
Our economic model of demand
provides hypotheses that we can test
with real data
Although it is difficult to measure the
quantity of medical services demanded
and economic variables, both price and
income effects are important
determinants of the demand for medical
care