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Why Do an Economic Analysis?. Call attention to the magnitude of a problem Burden of diseaseMonetary costs Cost of Illness (COI)Quality of lifeQALYs or DALYs Evaluate prevention policies or programsEconomic evaluation of interventionCost-effectivenessCost-benefitReturn on investment (ROI
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1. Estimating the Economic Burden of Cardiovascular and Chronic Diseases: Methods and Data Scott Grosse, PhD
Associate Director for Health Services Research and Evaluation, Division of Blood Disorders, NCBDDD
Division of Heart Disease and Stroke Prevention Annual Grantees Meeting
September 16, 2009
The findings and conclusions in this presentation are those of the author and do not necessarily represent the views of the Centers for Disease Control and Prevention.
2. Why Do an Economic Analysis? Call attention to the magnitude of a problem
Burden of disease
Monetary costs – Cost of Illness (COI)
Quality of life
QALYs or DALYs
Evaluate prevention policies or programs
Economic evaluation of intervention
Cost-effectiveness
Cost-benefit
Return on investment (ROI)
3. Costs, Payments, and Charges Costs = value of resources used up in providing service
Payments = expenditures by payers
Charges = list prices
Hypothetical example
Hospital bill (charge) $100,000
Total payments $60,000
Individual co-pay $10,000
Insurance reimbursement $50,000
Estimated resource cost $48,000
Calculated by multiplying cost-to-charge ratio by hospital charge
4. Cost of Illness (COI) Attributable cost of a disease and its consequences/complications
Requires comparison of costs for similar but unaffected individuals
Incremental cost = net difference in costs
Example
Mean expenditure for disease Y is $12,000 per year
Mean expenditure for unaffected is $3,000 per year
Incremental cost is $9,000 per year per person
5. Types of Cost Direct cost
Value of resources used to take care of people with disease
Medical
Non-medical
Unpaid caregiving
Indirect cost
Lost economic productivity of an affected person due to death or disability
6. Direct Costs of Disease Medical Costs
Hospitalizations
Physician office visits
Drugs and medical supplies
Non-medical costs
Special education and therapies
Travel to seek care
Paid care Direct costs -- medical and non-medical -- are identified and estimated for the cost of the intervention and cost of the disease prevented in the NET COST equation. Examples of direct medical costs include diagnostic tests and procedures, drugs and medical supplies, physician office visits, and hospitalizations. Direct non-medical costs include such items as program administration and management, physical facility space and utilities, and patients’ out-of-pocket expenses for travel, food, and child care. Again, exactly what direct costs should be included depends on the perspective(s) of the CEA. Also, costs may vary by disease severity, so it may be desirable to disaggregate direct medical costs by severity.
Direct costs -- medical and non-medical -- are identified and estimated for the cost of the intervention and cost of the disease prevented in the NET COST equation. Examples of direct medical costs include diagnostic tests and procedures, drugs and medical supplies, physician office visits, and hospitalizations. Direct non-medical costs include such items as program administration and management, physical facility space and utilities, and patients’ out-of-pocket expenses for travel, food, and child care. Again, exactly what direct costs should be included depends on the perspective(s) of the CEA. Also, costs may vary by disease severity, so it may be desirable to disaggregate direct medical costs by severity.
7. Cost of Unpaid Caregiving Time spent caring for sick or disabled individual
Methods
Opportunity cost
Value of lost earnings
How to value other time uses foregone?
Replacement cost to hire paid caregiver
Classification
Direct cost in US panel recommendation
Indirect cost in UK guidelines
8. Indirect Costs of Disease Costs associated with productivity losses:
Disability
Earnings lost due to acute illness or disability
Mortality
Earnings lost due to premature death
Earnings include benefits and taxes not just wages and salaries
Indirect costs -- productivity losses -- are identified and estimated for the cost of patients’ participation in the intervention and cost of productivity losses prevented in the NET COST equation. Productivity losses due to morbidity include wages lost as a result of unexpected illness or disability. Productivity losses due to mortality include future earnings lost as a result of premature death. The value of lost time should be estimated using wages for persons in the labor force to derive the mean value of lost work days or mean present value of lost future earnings. Depending on the target population of interest, it may be appropriate to use age- or gender-specific wage rates. For persons not in the labor force (i.e., unemployed persons, homemakers, students, and retirees), the value of their lost time may be similar to those in the labor force.
Indirect costs -- productivity losses -- are identified and estimated for the cost of patients’ participation in the intervention and cost of productivity losses prevented in the NET COST equation. Productivity losses due to morbidity include wages lost as a result of unexpected illness or disability. Productivity losses due to mortality include future earnings lost as a result of premature death. The value of lost time should be estimated using wages for persons in the labor force to derive the mean value of lost work days or mean present value of lost future earnings. Depending on the target population of interest, it may be appropriate to use age- or gender-specific wage rates. For persons not in the labor force (i.e., unemployed persons, homemakers, students, and retirees), the value of their lost time may be similar to those in the labor force.
9. Direct Medical Cost: Accounting Approaches Direct estimation
Single data set
Aggregate utilization and cost for principal diagnosis
Attributable cost for individuals with disease
Requires individually identified data
Indirect approach
Identify utilization of services associated with a condition
Calculate average unit cost for services from another source
Multiply utilization by unit costs
10. Incremental Costs in Accounting Approaches Compare total costs for individuals with and without disorder
Stratified by age and gender
Absolute difference in costs
Ratio of costs
Mean
Median
Potential biases
Differences in race/ethnicity or SES
Differences in other health conditions (comorbidities)
11. Regression Approach Statistical models
ICD-9 codes, including comorbidities, included as predictors
Control for demographic and SES variables
Two-part models
First equation predicts positive utilization as dichotomous variable
Second equation predicts costs as continuous variable among those with positive costs
Costs often log-transformed because of skewness
12. When To Use Accounting or Regression Approaches? Accounting approach commonly used in pediatric health services research for conditions present at birth
Assumption: other illnesses are secondary to congenital conditions
Regression approach preferred for other chronic conditions
13. Comorbidities Include in regression only conditions not in the causal pathway from condition of interest to health care use
Examples
Obesity, do not include any disease that can result from obesity, e.g., diabetes
Diabetes, include obesity but not hypertension
Heart disease, include diabetes
14. Data Sources for Medical Costs National surveys
National Health Interview Survey (NHIS)
Medical Expenditure Panel Survey (MEPS)
Administrative data
Hospital discharges
Health Care Utilization Project (HCUP), AHRQ
State databases
National Hospital Discharge Survey (NHDS), CDC/NCHS
Insurance claims data
Medicare
Medicaid
HMOs
Health plan and employer databases
15. Survey vs. Administrative Data Surveys
Cover all people, not limited by payer type
Complete demographic and SES data
Can include indirect and direct costs
Limited numbers of observations, useful only for common conditions
Administrative data
Limited by service type (hospital) or payer time (insurance)
Limited demographics, no SES
Large numbers of observations, good for rare conditions or outcomes
16. Case Ascertainment Administrative data use ICD-9-CM codes
Billing codes and medical records can differ
Underascertainment of conditions not currently treated
Need to validate by linkage to other databases
Medical records
Vital records (e.g., gestational age)
Surveys rely on self-report or parental report, also problematic
Not confirmed diagnoses
Widespread misunderstanding
17. Hospital Discharge Data Information on admissions and procedures
Facility fees – charges, not costs
Apply CMS cost-to-charge ratio
Adjust for professional fees, if possible
Pros and cons
Easily available
Can’t link multiple discharges for individuals with public use databases
18. HCUP Databases Data from 37 participating states
State Inpatient Databases
Weighted for national estimates
Nationwide Inpatient Sample (NIS)
20% sample of nonfederal short-stay hospitals
Annual
Kids Inpatient Database
20% sample of pediatric (0-20 years) administration
Available every 3 years
19. Stroke Hospital Discharge Example HCUPnet.AHRQ.gov NIS data from 2007
Stroke: ICD-9-CM codes 433-435
All hospitalizations
1,256,403 discharges
Payer: 70.4% paid by Medicare
Age: 23.7% 45-64, 72.5% >64
Principal diagnosis
731,732 discharges
22,541 (3.1%) in-hospital deaths
Median charge $26,700
20. Insurance Claims Data Large, proprietary insurance databases
Multiple health plans
Tens of millions of covered lives
Can link services by unique individual ID
Inpatient, outpatient, pharmaceuticals
Link over time, but need to restrict to continuous enrollment
Issues of representativeness
21. Congenital Heart Disease Example (Boulet et al., 2009) Health care costs for children < 3 years old with congenital heart defects
(CHDs) in Marketscan Research Database – 2005
Age and Number Prevalence* Mean Mean %attributable to
Category (per 10,000) costs cost inpatient
(dollars) ratio admissions
No CHDs
<1 year 114,561 3,844 67
1 year 71,029 2,462 15
2 years 77,344 1,583 14
Multiple
Severe
<1 year 72 6.3 241,219 63 93
1 year 46 6.4 79,763 32 72
2 years 35 4.5 49,479 31 72
Isolated
Severe
<1 year 222 19.3 120,813 31 90
1 year 129 18.1 30,723 12 61
2 years 118 15.2 16,503 10 44
Multiple mild
<1 year 201 17.5 83,379 22 89
1 year 137 19.2 22,902 9 56
2 years 134 17.2 13,160 8 20
Isolated mild
<1 year 168 14.6 23,551 6 80
1 year 122 17.1 15,697 6 59
2 years 146 18.8 3,559 2 7
Any CHD
<1 year 663 57.5 97,894 25 90
1 year 434 60.7 29,228 12 63
2 years 433 55.7 13,769 9 42
*CHD = congenital heart defect
22. Caregiver Time Costs Methods Valuation methods
Opportunity cost
Value of lost earnings straightforward
Value of lost leisure difficult to estimate
Replacement cost
How much to hire paid caregivers
Counting caregiving time
Lost earnings or total caregiving?
Incremental or attributable cost?
23. Productivity Costs Lost value of economic production due to
Death – 100% loss
Disease – proportionate loss during episode
Disability – proportionate loss
24. Short-Term Productivity Losses and Caregiver Costs Stang et al. (2004) used MarketScan Health and Productivity Database 1997-99
Lost work days by families with migraine
59-62% higher when adult had migraine
11-34% higher when child had migraine (caregiving cost)
Health care costs also higher for family members of individuals with migraine
24% higher for spouse of affected adult
11% higher for child of affected parent
25. Productivity Estimates Labor market earnings (gross)
Wages & salaries
Fringe benefits and payroll taxes
Self-employment income
Nonmarket production
Household services
Productivity estimates in 2007 US dollars by age and sex
Grosse SD, Krueger KV, Mvundura M. Economic productivity by age and sex: 2007 estimates for the United States. Medical Care. 2009;47:S94–S103
26. Productivity Estimate Methods Data from American Time Use Survey, US Census Bureau, 2003 to 2007
Time diary data on hours of paid work and household productivity
Compensation
Annual earnings by 5-year age groups, 15-19 to 75-79 and 80+
Total compensation multiplies earnings by 1.309 for employer cost of insurance, retirement, and legally required benefits
27. Household Productivity Household services include
Household production
Housework
Outdoor chores
Home and auto maintenance
Shopping
Paying bills
Providing care to others
Child care
Adult care
Replacement cost method
Each service valued as average hourly wage in relevant occupation, $8-12/hr, plus benefits
28. Lifetime Productivity Present value is the sum of discounted values in each future time period
Social discount rate 3% in US
Future changes in productivity levels
Constant or real dollars
Productivity assumed to rise 1% per year
Total present value in 2007 dollars
$1.2 million at birth
$1.6 million at ages 15-29
29. Aggregate COI Estimates Two types
Prevalence-based – how much cost this year for prevalent cases?
Incidence-based – what is the present value of future costs for newly incident cases?
30. Prevalence-based Cost Analysis How much do we spend each year to take care of individuals with condition X?
Lost productivity from prevalent cases and deaths in current year
Future costs from current year deaths muddies the picture
Doesn’t tell one about how much can be saved through prevention
31. Incidence-Based Cost Estimates Present value of lifetime costs of a new case
Future costs are discounted
Essential for calculating value of prevention
Synthetic cohort
Assume cross-sectional differences apply in future years
Assume relative costs are stable
32. Cost of Cardiovascular Disease: AHA (Rosamond et al., 2008) Prevalence-based cost estimates updated each year, adjusted for inflation
Direct costs from Hodgson & Cohen (1999)
Indirect costs from Rice et al. (1985)
Direct and indirect costs of CVD $448.5 billion in 2008 dollars
Coronary heart disease $156.4 billion
Heart failure $34.8 billion
“Other” heart diseases $97.1 billion
Stroke $65.5 billion
Hypertension $69.4 billion
33. Data Sources for Hodgson & Cohen on Direct Medical Costs of CVD National Hospital Discharge Survey – 1993
National Health Interview Survey – 1993
National Ambulatory Medical Care Survey – 1992
National Hospital Ambulatory Medical Care Survey – 1992
National Home and Hospice Care Survey – 1992
National Medical Expenditure Survey – 1987
National Nursing Home Survey – 1985
34. Limitations of AHA Cost Estimates Limitations in analytic methods used for cost calculations
Changes in medical technology since ca. 1990
Changes in patterns of earnings and household activities since 1970s
Need for new cost estimates based on contemporary data
No estimate of unpaid caregiving cost
35. Medical Costs of Hypertension Hodgson & Cai (2001) projected total medical cost of hypertension, including sequelae, adjusted for tobacco use
Attributable risk assumptions:
Hodgson and CAI Medical Care
*Hypertension includes ICD-9-CM codes 401-405.
†Cardiovascular complications include ICD-9-CM codes 410-414, 424-438, 440-441.
‡All other conditions include any condition that is not hypertension and not a cardiovascular complication of hypertension.
36. Total Cost of Hypertension (Hodgson & Cai, 2001) Estimated total $108.8 billion (1998 $)
Hypertension (principal Dx) $22.8 billion
Cardiovascular complications $29.7 billion
All other diagnoses $56.4 billion
Implication – AHA cost estimate for “hypertensive disease” covers fraction of costs due to hypertension
Treatment for high blood pressure
Assuming no stroke or CHD
37. The Economic Burden of Chronic Cardiovascular Disease for Major Insurers Justin G. Trogdon, Eric A. Finkelstein, Isaac A. Nwaise, Florence K. Tangka and Diane Orenstein
Health Promot Pract 2007; 8; 234
DOI: 10.1177/1524839907303794
Econometric (regression) approach
Data from 2000-2003 Medical Expenditure Panel Survey
Civilian, noninstitutionalized population
Restricted to those covered by Medicaid, Medicare, and/or private health insurance
Estimates adjusted to 2005 dollars by Medical Care CPI
Prevalence (self-reported)
Congestive heart failure 0.5%
Other heart disease 5.9%
Stroke 0.8%
Hypertension 13.1%
38. Trogdon et al. Regression Model 2-part model
Logit regression on whether positive expenditures
Generalized linear equation for expenditures
Control variables
Diseases – 4 CVDs, and cancer, diabetes, injuries, dyslipidemia, HIV/AIDS, pneumonia, asthma, COPD, depression, substance abuse, arthritis, back problems, skin disorders, renal failure, pregnancies
Demographics/SES -- age, sex, race/ethnicity, region, education, family income
39. Trogdon et al. Results (1) Last column – All expenditures per person with disease
Other columns – Average expenditure per payer
40. Trogdon et al. Results (2) Results from model dropping CHF, stroke, other heart disease
Costs of hypertension 1.37 x higher than in full model
Full cost of hypertension 4.77 x higher in Hodgson & Cai
41. Trogdon et al. Results (3) Attributable medical cost for all CVD $149 billion (2005 $) (17% of total)
Compare with AHA estimate of $257.6 billion (2006 $)
Included $42.6 billion in nursing home costs excluded from MEPS analysis
42. Use of COI Estimates in Economic Evaluations Incidence-based COI estimates needed
Direct medical costs always useful
Direct non-medical costs used in CEA from societal perspective
Indirect costs
Not included in CEA
Can be included in CBA
ROI includes worker absenteeism