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Demand for Medical Services Part 2

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Title: Demand for Medical Services Part 2


1
Demand for Medical ServicesPart 2
  • Health EconomicsProfessor Vivian HoFall 2007

These notes draw from material in Santerre
Neun, Health Economics, Theories, Insights and
Industry Studies. Thomson 2004
2
Outline
  • Empirical estimates of demand from the literature
  • Practice problems
  • The RAND Health Insurance Experiment
  • Example Interpreting results from a regression
    on abortion demand

3
Estimating Demand for Medical Care
  • Quantity demanded f( )
  • out-of-pocket price
  • real income
  • time costs
  • prices of substitutes and complements
  • tastes and preferences
  • profile
  • state of health
  • quality of care

4
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

5
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

6
Out-of-Pocket Payments in the U.S.
  • 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

7
Out-of-Pocket Payments in the U.S.
Total Expenditures and Paid Out-of-Pocket, 2004
  • 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

8
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

9
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

10
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

11
International Estimates of Income Elasticity
  • Are health care expenditures destined to consume
    a larger portion of GDP as GDP grows?

12
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

13
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

14
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

15
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
16
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
17
Table 3.3. Sample Means for Annual Use of
Medical Services per Capita
Plans Face-to- Outpatient Inpatient
Total Probability Face
Visits Expenses Dollars Expenses
Using Any
(1984 ) (1984 ) (1984 ) Medical
Service Free 4.55 340
409 749
86.8 25 3.33 260 373 634
78.8 50 3.03 224 450 674
77.2 95 2.73 203 315 518
67.7 Individual deductible 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
18
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-of-pocket
    medical expenses 70 of hospital admissions
    costs 1,000

19
Results (cont.)
  • As consumers copayments drop, demand for medical
    care becomes more price inelastic
  • The data confirms the theory

20
Results (cont.)
  • HMO patients cost 30 less than FFS patients on
    average
  • HMOs do save money relative to FFS

21
Health Implications
22
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

23
Was it worth it?
  • Rand Health Insurance Experiment cost 80 million
  • Initial results published in 1981
  • Government sponsored studies often yield
    important knowledge for business

24
Economically Objective Data on Abortion
  • Is the choice of abortion responsive to economic
    factors?
  • Medoff ( 1988)
  • Sample state-level data from 1980
  • Model the demand for abortion as a function of
    price and other relevant factors

25
An Economic Analysis of the Demand for Abortion
(Medoff, 1988)
A - 207.780 - 0.924P 0.031Y 4.194SNGL
4.456LFP (1.41) (3.22)
(3.31) (1.74) (2.57)
18.287W 1.207CATH 43.775M (1.74)
(1.50) (2.12) R2 .77 N
50 Where A Number of abortion per 1,000
pregnancies of women of childbearing age (15-45)
P Price of an abortion
Y Average income SNGL
Percentage of woman who are single
LFP Labor force participant rate
W Dummy variable to control for women in
western states CATH Percentage of
Catholic population in each state
M Dummy variable to control for states that
provide Medicaid funding of abortions
26
Economically Objective Data on Abortion
  • Income variable positive and statistically
    significant
  • Implied income elasticity of demand 0.79

27
Economically Objective Data on Abortion (cont.)
  • SNGL and LFP positive and statistically
    significant
  • Single and working women have higher opportunity
    cost of time from raising children

28
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
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