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Congressional Budget Office
Eighth Annual Marshall J. Seidman Lecture, Harvard Medical School
New Ideas About Human Behavior in Economics and Medicine
Peter OrszagDirector
October 16, 2008
Federal Spending Under CBO’s AlternativeFiscal Scenario
Percentage of Gross Domestic Product
1962 1972 1982 1992 2002 2012 2022 2032 2042 2052 2062 2072 2082
0
10
20
30
40
Medicare and Medicaid
Actual Projected
Social Security
Other Spending (Excluding debt service)
Learning from Our Mistakes
As we seek to improve the efficiency of the health sector, let’s learn some lessons from economics.
Saving for Retirement, Econ 101
Retirement saving depends on projected income, projected rate of return, tax preferences, and the company’s matching contribution.
The Effect of Automatic Enrollment on Initial Participation Rates in Companies with 401(k) Plans
45
25
77
86
0
20
40
60
80
100
All Workers Income Less Than $30,000
Without Automatic EnrollmentWith Automatic Enrollment
Percent
Source: Nesmith, Utkus, and Young.
Share of 401(k) Plans Featuring Automatic Enrollment
Source: Data from Profit Sharing/401k Council of America.
Percent
1999 2000 2001 2002 2003 2004 2005 2006 2007
0
10
20
30
40
50
60
Companies with 5,000 or MoreEligible Employees All Companies
Behavioral Economics and Medicine
Are we ignoring the same lessons in health care and medical science?
The Placebo Effect: Mean Improvement on Hamilton Depression Scale, vs. Common Antidepressants
Source: Kirsch (2002).
Fluoxetine(Prozac)
Paroxetine(Paxil)
Sertraline(Zoloft)
Venlafaxine(Effexor)
Nefazodone(Serzone)
Citalopram(Celexa)
0
2
4
6
8
10
12
14
Drug
Placebo
The Placebo Effect: Angina Pectoris Treatment, vs. Surgery
Source: Cobb and others (1959).
Patients Reporting SignificantImprovement in Chest Pain
Decrease in Nitroglycerin Use
0
10
20
30
40
50
60
70
Internal Mammary Artery Ligation
Skin Incision Only
The Placebo Effect: Reduction of Pain After Knee Surgery
Source: Moseley and others (2002).
Mean Knee-Specific Pain Scale Score
The Placebo Effect: Fitness Outcomes from “Perceived” Exercise
Source: Crum and Langer (2007).
142
144
146
148
0.25
0.26
0.27
0.28Mean Weight BMI
33
34
35
36
37Percentage Body Fat
Waist-to-Hip Ratio
0.81
0.82
0.83
0.84
0.85
0.86
0.87
115
120
125
130
135Systolic Blood Pressure Diastolic Blood Pressure
70
75
80
85
ControlInformed
The Placebo Effect: The Effect of Price on Effectiveness
Source: Waber and others (2008).
Mean Difference
Shifting Professional Norms: Catheter Infections in Michigan ICUs After Instituting a Checklist
Mean Rate of Infection per 1,000 Catheter Days
Source: Provonost and others (2006).
At Baseline After 3 Months After 18 Months
0
1
2
3
4
5
6
7
8
Adherence to Medication Schedule According to Frequency of Dose
Source: Osterberg and Blaschke (2005).
Percentage of Patients Adhering
Once Daily Twice a Day Three Times a Day Four Times a Day
0
10
20
30
40
50
60
70
80
90
100
Medication Schedule
Adherence to Treatment: Nature and Scope of the Problem
Average adherence to medication recommendations for nonacute disorders among both pediatric and adult populations: 50%
Nonadherence is pervasive even under high stakes:– 25% of renal transplant recipients regularly miss doses of
antirejection medications– 42% of glaucoma patients persisted in not adhering to
treatment—even after losing sight in one eye
Doctors are no more accurate than relying on a coin flip in determining who will adhere to treatment and who won’t (even among patients they know well)
Adherence to Treatment: Bedside Manner
Two-year study on influence of doctors’ behavior on adherence to treatment showed that patients were more likely to adhere if:
– Their doctor scheduled definite future appointments
– Their doctor answered all of their questions
– Their doctor enjoyed his/her job
Adherence to Treatment: Setting Better Defaults
Dosing: Simplicity promotes, while complexity undermines, adherence: e.g., once-a-day dosing.
Drug Choice: Choosing more “forgiving” drugs promotes adherence: e.g., antihypertensive drugs with longer halflives.
Bedside Manner: Seeing patients more often and answering all their questions promotes adherence: e.g., definite follow-up appointments.
Bottomless Soup Bowls: The Premise
Source: Wansink (2004).
Bottomless Soup Bowls: Actual and Perceived Intake
Source: Wansink, Painter, and North (2005).
Accurate Visual Cue(Normal Soup Bowls)
Biased Visual Cue(Self-Refilling Soup Bowls)
0
50
100
150
200
250
300
Actual Calories Consumed
Estimated Calories Consumed
Influence of Container Size on the Consumption of Stale Popcorn
Source: Wansink and Kim (2005).
Medium Container (120 grams) Large Container (240 grams)
0
20
40
60
80
100
Some Behavioral Avenues for Reform in Federal Nutrition Programs
20 percent of Americans participate in a federal nutrition program
Supplemental Nutrition Assistance Program– Disbursing benefits more frequently could reduce stockpiling
and bingeing
School Lunch Program– Placing healthier foods at the front of cafeteria lines could
increase their prominence and consumption
– Decreasing the size of tables could reduce distraction-driven overeating
Source: Just, Mancino, and Wansink (USDA, 2007).
Increase in Life Expectancy, and Increase in Difference in Life Expectancy by Economic Status
Source: Data from Singh and Siahpush (2006) and CDC.
Years
At Birth At Age 65
0
1
2
3
4
Increase in Average Life Expectancy, 1980–2000
Increase in Difference in Average Life ExpectancyBetween Lowest and Highest Decile, 1980–2000
Sources of Growth in Projected Federal Spending on Medicare and Medicaid
Percentage of GDP
2007 2022 2037 2052 2067 2082
0
5
10
15
20
Effect of Aging Alone
Interaction
Effect of Excess CostGrowth Alone
Estimated Contributions of Selected Factors to Long-Term Growth in Real Health Care Spending per Capita, 1940 to 1990
Smith, Heffler, and Freeland (2000)
Cutler (1995)
Newhouse (1992)
Aging of the Population 2 2 2
Changes in Third-Party Payment 10 13 10
Personal Income Growth 11-18 5 <23
Prices in the Health Care Sector 11-22 19 Not
EstimatedAdministrative Costs 3-10 13 Not
EstimatedDefensive Medicine and Supplier-Induced Demand 0 Not
Estimated 0
Technology-Related Changes in Medical Practice 38-62 49 >65
Percent
Excess Cost Growth in Medicare, Medicaid, and All Other Spending on Health Care
Medicare Medicaid All Other Total
1975 to 1990 2.9 2.9 2.4 2.6
1990 to 2005 1.8 1.3 1.4 1.5
1975 to 2005 2.4 2.2 2.0 2.1
Percentage Points
Before We All Get Too Depressed…
Embedded in the nation’s central long-term fiscal challenge appears to be a substantial opportunity.
Can we reduce health care costs without impairing health outcomes?
Medicare Spending per Beneficiary in the United States, by Hospital Referral Region, 2005
Variation in State-Level Medicare and Overall Health Care Spending per Capita
Source: Based on data from CMS.
Coefficient of Variation
1974 1979 1984 1989 1994 1999 2004
0
0.05
0.10
0.15
0.20
0.25
Variation in MedicareSpending per Beneficiary
Variation in TotalHealth Spending per Capita
Contributions of Major Service Categories to State-Level Variation in Medicare Spending per Beneficiary
Source: Based on data from CMS.
Coefficient of Variation
1974 1979 1984 1989 1994 1999 2004
0
0.05
0.10
0.15
0.20
0.25
Outpatient
Post-Acute Care
Physician andLaboratory
Hospital
Geographic Variation in Health Care Spending per Capita in Selected Countries
Source: Based on data from CMS, HM Treasury (U.K.), and the Canadian Institute for Health Information.
Coefficient of Variation
1975 1980 1985 1990 1995 2000 2005
0
0.02
0.04
0.06
0.08
0.10
0.12
0.14
UnitedStates
UnitedKingdom
Canada
Variations Among Academic Medical Centers
UCLA Medical Center
Massachusetts General Hospital
Mayo Clinic(St. Mary’s Hospital)
Biologically Targeted Interventions: Acute Inpatient Care
Care Delivery―and Spending―Among Medicare Patients in Last Six Months of Life
CMS composite quality score 81.5 85.9 90.4
Total Medicare spending 50,522 40,181 26,330
Hospital days 19.2 17.7 12.9
Physician visits 52.1 42.2 23.9
Ratio, medical specialist / primary care 2.9 1.0 1.1
Use of Biologically Targeted Interventions and Care-Delivery Methods Among Three of U.S. News and World Report’s “Honor Roll” AMCs
Source: Elliot Fisher, Dartmouth Medical School.
Variations Among Academic Medical Centers
Supply-Sensitive Care: Days in the Hospital for Patients During the Last Six Months of Life
Source: John Wennberg, Dartmouth Medical School.
The Relationship Between Quality of Care and Medicare Spending, by State, 2004
0
75
80
85
90
0 5 6 7 8 9 10
Annual Spending per Beneficiary(Thousands of dollars)
Composite Measure of Quality of Care, 100 = Maximum
What Additional Services Are Provided in High-Spending Regions?
Source: Elliot Fisher, Dartmouth Medical School.
CBO’s Activities in Analyzing Health Care
New Hires and Expanded Staffing– New deputy assistant director in the Budget Analysis
Division
– Increase in health staff agencywide from 30 FTEs to 50 FTEs
Reports and Analysis in 2008– Critical Topics in Health Reform– Health Options