Health, Medical Care, and Medical Spending Health Economics Professor Vivian Ho Spring 2006 These...

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Health, Medical Care, and Health, Medical Care, and Medical Spending Medical Spending Health Economics Professor Vivian Ho Spring 2006 These slides summarize material in Santerre & Neun: Health Economics, Theories Insights and Industry Studies, Thomson 2004

Transcript of Health, Medical Care, and Medical Spending Health Economics Professor Vivian Ho Spring 2006 These...

Health, Medical Care, andHealth, Medical Care, andMedical SpendingMedical Spending

Health EconomicsProfessor Vivian Ho

Spring 2006

These slides summarize material in Santerre & Neun: Health Economics, Theories Insights and Industry Studies, Thomson 2004

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Can we apply the tools of managerial economics to health care?

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OutlineOutline

An economic model of utility, health, and medical care

Measuring health status Empirical evidence on health production Health care expenditures

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A Basic Economic ModelA Basic Economic Model

Health as a consumer durable good: Utility = U (X, Health)

X represents “other goods and services” H is a stock -- every action will affect health On its own or combined with other goods and

services, the stock of H generates a flow of services that yield satisfaction=utility

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A Basic Economic Model A Basic Economic Model (cont.)(cont.)

Marginal Utility The increase in utility resulting from a given

increase in health

MUH = U/H

Law of diminishing marginal utility Each incremental improvement in health

generates smaller and smaller additions to total utility

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Utility

HealthH0 H1 H2 H3

U0

U1

U2

U3

Total

Utility

The Total Utility Curve for Health

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Marginal Utility

Health

The Marginal Utility Curve for Health

MU

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A Basic Economic Model A Basic Economic Model (cont.)(cont.)

• Production of health: H = g (Medical care, other stuff)

Marginal productivity The increase in health resulting from a given

increase in medical care (q)

MPq = H/q

• Law of diminishing marginal productivity• Health increases at a decreasing rate with respect

to additional amounts of medical care

9Medical Care Medical Care

HealthMarginal Increase in Health

Total Product

MP

The Total and Marginal Product of Medical Care

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A Basic Economic Model A Basic Economic Model (cont.)(cont.)

Medical care is not homogeneous and differs in: Structural quality (e.g. facilities and labor) Process quality (e.g. waiting time, case mgmt.) Outcome quality (e.g. patient satisfaction,

mortality)

Therefore medical services are often difficult to quantify

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A Basic Economic Model A Basic Economic Model (cont.)(cont.)

Health=H(Profile, Medical Care, Lifestyle, Socioeconomic Status, Environment)

If an individual has a heart attack, then overall health decreases, regardless of the amount of medical care consumed The total product curve for medical care shifts

down

As a person ages, both health and the marginal product of medical care are likely to fall The total product curve shifts down and flattens

out

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A Shift in the Total Product Curve A Shift in the Total Product Curve for Medical Carefor Medical Care

Health

Medical Care

TP0

TP1

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MEASURING HEALTHMEASURING HEALTH

Important for all health care managers today

Insurers and consumers are demanding

costs AND quality

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HEALTH OVER THE LIFE CYCLEHEALTH OVER THE LIFE CYCLE

TIME

HEALTH

BIRTH

Hmin

Appendicitis

Auto Crash

Cancer (radiation therapy)

Cancer complications

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HEALTH OVER THE LIFE CYCLEHEALTH OVER THE LIFE CYCLE

Individuals make choices about health (make tradeoffs) which maximize U over time

Relatively high value for the future• Low discount rate

e.g. Low-fat diet and exercise to avoid heart disease

Relatively low value for the future• High discount rate

e.g. Smoking, excess drinking, drug abuse

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DISCOUNTINGDISCOUNTING

Required when costs are incurred in the future Why? Individuals have a positive value of time

preference

If r = 10%, then $100 invested today yields $110 next year

Spending $100 one year from now is “cheaper” than spending $100 today

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CHOICES

Spend $100today

Invest $100 = $90.91 (1 + .10)

and

have $9.09 left over

DISCOUNTINGDISCOUNTING

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If costs occur over multiple time periods, we must calculate the present discounted value (PDV) of these costs:

PDV = ΣT

t = 0

1(1 + r)t

COSTSt

• Example:

A project requires: $100 in year 1 $ 75 in year 2 $ 50 in year 3

PDV = $100 + $ + $ = $209.50 75(1 + .10)

50(1 + .10)2

DISCOUNTINGDISCOUNTING

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If we discount costs, we must also discount benefits

Assume r = 10%

$990

Spend $990to save

1 year of lifetoday

Invest $900 tosave 1 year of life

next yearand

have $90 left tospend this year

DISCOUNTINGDISCOUNTING

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Appropriate discount rate?

• The medical literature has settled on 5% for comparative reasons

Discounting is not an adjustment for inflation

COST

YOLS=

Σ

Σ COST

YOLS

1(1 + r)t

1(1 + r)t

DISCOUNTINGDISCOUNTING

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Consider an intervention which costs $100 and saves 10 years of life Also assume r = 10%

Why we discount cost AND benefitsWhy we discount cost AND benefits

Option 1:Spend $100 today: = = 10

C

E

100

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Option 2:Invest for 1 year → $110, saves 11 YOL. If we discount costs to present value, but don’t discount YOL:

CE =

10011 = 9

111

If we discount both costs and benefits:

CE

= = 10

110

111(1 + .10)

1(1 + .10)

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MORTALITYMORTALITY

Alive vs. Dead

Advantages:

Disadvantages:

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MORTALITY MEASURESMORTALITY MEASURES1950 1970 1980 1990 2000

1. Crude death rate 963.8 945.3 878.3 863.8 873.6 (per 100,000)

2. Age-adjusted death rate 1446.0 1222.6 1039.1 938.7 869.0

3. Age-specific death rate

15-24 128.1 127.7 115.4 99.2 81.5

65-74 4067.7 3582.7 2994.9 2648.6 2432.9

4. Infant mortality 29.2 20.0 12.6 9.2 6.9

Neo-natal 20.5 15.1 8.5 5.8 4.6

Postneonatal 8.7 4.9 4.1 3.4 2.3

5. Life Expectancy 68.2 70.8 73.7 75.4 76.9(at birth)

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MORTALITY MEASURESMORTALITY MEASURES

Life expectancy NOT a prediction of how long people live

76.9 is a summary of age-specific death rates in 2000

“If those born in 2000 experienced age-specific death rates prevailing in 2000, on average they would live to be 76.9

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MORBIDITYMORBIDITY

The relative incidence of disease

Advantages: Captures quality of life

Disadvantages: Difficult to measure Difficult to aggregate when patient has >1

problem

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MORBIDITYMORBIDITY

Acute disease e.g. appendicitis, pneumonia, gun shot wounds

Chronic disease e.g. arthritis, diabetes, asthma

Incidence occurrence of new cases in any particular year

Prevalence new and ongoing cases in any particular year

Heart disease is more prevalent, but its incidence is declining

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MEASURING MORBIDITYMEASURING MORBIDITY

Distinguish between symptom and disease e.g. high blood pressure vs. stroke

Disabilities are also a sign of morbidity

Subjective measures - i.e. self-rated health

“Is your health excellent/good/fair/poor?” Problem: 1970-80, # of people with high blood pressure

declined. But % of people reporting restricted activity due to HTN doubled!

Depends on what you want to do - e.g. astronaut, airline pilot, or professor?

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MEASURING MORBIDITYMEASURING MORBIDITY

How far do we go in classifying “medical” problems?

e.g. cosmetic surgery

Beware of phrases in contracts or policy statements such as “providing all medical care” or “basic needs”

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LEADING CAUSES AND NUMBER OF LEADING CAUSES AND NUMBER OF DEATHS, PERSONS AGED 15-24 (2000)DEATHS, PERSONS AGED 15-24 (2000)

CAUSE OF DEATH DEATHS

Unintential injuries 14,113

Homicide 4,939

Suicide 3,994

TOTAL “Violent Deaths” 23,046 85%

Cancer 1,713

Heart Disease 1,031

Congenital anomalies 441

All other nonviolent causes 757

TOTAL “Nonviolent Deaths” 3,942 15%

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LEADING CAUSES AND NUMBER OF LEADING CAUSES AND NUMBER OF DEATHS, PERSONS AGED 65+ (2000)DEATHS, PERSONS AGED 65+ (2000)

CAUSE OF DEATH DEATHS

Heart disease 593,707

Cancer 392,366

Cerebrovascular Disease 148,045(Stroke)

Chronic Lower Respiratory Disease 106,375

Pneumonia and Influenza 58,557

Diabetes mellitus 52,414

Alzheimer’s disease 48,993

Kidney disease 31,225

Unintentional Injuries 31,050

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Empirical Evidence on Health Prod’nEmpirical Evidence on Health Prod’n

Hadley (1982) a 10% in medical care $ per capita mortality rate by only 1.5%

Auster et al. (1969) 10% in medical services age-adjusted mortality rate by 1%

Enthoven (1980) “flat-of-the-curve” medicine

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LIFESTYLELIFESTYLE cigarette smoking 10% mortality:

blacks whites

men 45-64 2.3% 1.4%

women 45-64 1.1% 1.1%(Hadley, 1982)

A one-pack-a-day smoker incurs 10.9 more sick days every six months than a comparable non-smoker

(Leigh and Fries, 1992)

Not smoking, regular exercise, moderate/no use of alcohol, 7-8 hours of sleep per day, proper weight, eating breakfast, and no snacking leads to 28% lower mortality for men, 43% lower for women

(Breslow and Enstrom, 1980)

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OTHER FACTORS AFFECTING HEALTHOTHER FACTORS AFFECTING HEALTH

EducationOne more year of schooling prob of dying

w/in 10 years by 3.6% (Lleras-Muney 2001)

IncomePeople w/o high school educ & income

<$10k were 2-3 x’s more likely to have functional limitations and poorer self-rated health

35Sturm, Health Affairs 2002

OTHER FACTORS AFFECTING HEALTHOTHER FACTORS AFFECTING HEALTH

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Determinants of Infant HealthDeterminants of Infant Health

Whites Blacks1964 16.2 27.61977 8.7 16.1

Neonatal Mortality per 1000 Live Births

Corman and Grossman, 1985

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Determinants of Infant HealthDeterminants of Infant Health

Corman and Grossman, 1985

Selected Regression Results,

Neonatal Mortality RatesWhites Blacks

% HS Educated -0.037 -0.056

Newborn Intensive Care Hospitals/1000

-44.196 -86.196

Abortion Providers/1000 -3.198 -16.838

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Determinants of Infant HealthDeterminants of Infant Health

Does more schooling and the availability of more providers improve infant health?

Is the marginal productivity of more providers greater for blacks or whites?

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Determinants of Infant HealthDeterminants of Infant Health

Why might the marginal productivities for blacks and whites differ?The regressions have poor controls for

income,health status, preferences, etc. which may be correlated with schooling and the availability of providers

If the marginal productivity for most factors is greater for blacks then whites, why isn’t the overall neonatal mortality rate lower for blacks than whites?

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Marginal Productivity of Provider Marginal Productivity of Provider Services for Infant HealthServices for Infant Health

(1-mortality rate)%

Medical Care

Blacks

Whites

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Marginal Productivity of Provider Marginal Productivity of Provider Services for Infant Health Services for Infant Health (cont.)(cont.)

For any given level of provider services, marginal productivity may be higher for blacks than whites

However, the level of services may be higher for whites than blacks

Knowing the shape of the total product curve is not enough. You must also know where you are on it

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ConclusionsConclusions

In an economic model, medical care and other goods and services are combined to produce health, which yields utility to the consumer

The production of health can be measured in a variety of ways

Both higher health care expenditures and other factors are improving health status over time