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![Page 1: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/1.jpg)
Prescription Drugs, Medical Care, and Health Outcomes:
A Model of Elderly Health Dynamics
Zhou Yang, Emory University
Donna B. Gilleskie, Univ of North Carolina
Edward C. Norton, Univ of Michigan
June 23, 2008ASHE
![Page 2: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/2.jpg)
The Big Picture
Prescription Drugs
Physician Services, Hospitalization
Health: Morbidity, Mortality
Supplemental Insurance,
Rx Coverage
![Page 3: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/3.jpg)
Age
HealthSudden death: “extreme” health shock but no functional decline
Terminal Illness: good functional health then health shock and certain decline in function
Frailty: no health shock(s) or serious chronic condition, but slow decline in function
Entry-re-entry: chronic condition(s) associated with multiple health shocks and expected decline in function
Typical Patterns of Health Decline among the Elderly
JAMA 289(18), 2003
![Page 4: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/4.jpg)
A Preview of our Main Findings
A change from Medicare with no drug coverageto a plan that covers prescription drugs reveals that:
• Drug expenditures over 5 years increase between 7 and 27%.
• Survival rates increase 1-2%. But the distribution of functional status among survivors shifts toward worse health.
• Marginal survivors spend significantly more than individuals who would have survived anyway.
• There is some contemporaneous reallocation of consumption (a cross-price effect), but changes in consumption are largely driven by changes in health and survival as people age.
![Page 5: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/5.jpg)
Model of behavior of individuals age 65+
It , Jt St At, Bt, Dt Et+1, Ft+1
beginning of age t
beginning of age t+1
insurance and drug coverage
health shock
medical care demand
health production
Ωt= (Et, Ft,
At-1, Bt-1, Dt-1, Xt,
ZIt, ZH
t, ZMt )
Ωt+1= (Et+1, Ft+1,
At, Bt, Dt, Xt+1,
ZIt+1, ZH
t+1, ZMt+1 )
And we model the set of structural equations jointly, allowing unobserved components to be correlated
![Page 6: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/6.jpg)
Empirical Model
It , Jt St At, Bt, Dt Et+1, Ft+1
beginning of t
beginning of t+1
insurance and drug coverage
health shock
medical care demand
health production
Multinomial logit:
Medicare only (parts A and B) ( 8%) Medicaid dual coverage (12%) Private plan supplement (64%) Medicare managed care plan (part C) (16%)
Logit: Rx coverage (63%)
(conditional on private or Part C plan)
![Page 7: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/7.jpg)
Empirical Model
It , Jt Skt At, Bt, Dt Et+1, Ft+1
beginning of t
beginning of t+1
insurance and drug coverage
health shock(s)
medical care demand
health production
Separate logits:
Heart/stroke event (ICD-9 390-439) in period t (24.5 %)
Respiratory event (ICD-9 480-496) in period t ( 4.8 %)
Cancer event (ICD-9 140-209) in period t ( 5.7 %)
![Page 8: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/8.jpg)
Empirical Model
It , Jt Skt At, Bt, Dt Et+1, Ft+1
beginning of t
beginning of t+1
insurance and drug coverage
health shock(s)
medical care demand
health production
Separate logit for any use and OLS log expenditures conditional on any:
Hospital use and expenditures in period t (20 % and $13,057)
Physician service use and expenditures in period t (84 % and $2,013)
Prescription drug use and expenditures in period t (90 % and $980)
![Page 9: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/9.jpg)
Empirical Model
It , Jt Skt At, Bt, Dt Ek
t+1, Ft+1
beginning of t
beginning of t+1
insurance and drug coverage
health shock(s)
medical care demand
health:ever had chronic
condition k , functional status
Multinomial logit for functional status entering period t+1:
Not disabled (no ADL or IADLs) (58%) Moderately disabled (IADL or <3 ADLs) (28%) Severely disabled (3 or more ADLs) (10%) Dead ( 5%)
Indicator for having ever had a chronic condition entering period t+1:
Heart/stroke (47%) Respiratory (15%) Cancer (19%) Diabetes (20%)
Ekt+1 = Ek
t + Skt
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Unobserved Heterogeneity Specification
• Permanent: risk aversion or attitude toward medical care use
• Time-varying: unmodeled health shocks or natural rate of deterioration
uet = ρe μ + ωe νt + εe
t
where uet is the unobserved component for equation e decomposed into
• permanent heterogeneity factor μ with factor loading ρe
• time-varying heterogeneity factor νt with factor loading ωe
• iid component εet
distributed N(0,σ2e) for continuous equations and
Extreme Value for dichotomous/polychotomous outcomes
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Medicare Current Beneficiary Survey (MCBS) Sample
• Survey and Event files from 1992-2001
• Overlapping samples followed from 2 to 5 years
• Exclude individuals ever in a nursing home
• Attrition due to death and sample design
• Sample: 25,935 men and women; 76,321 person-year obs
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Actual and Simulated Annual Mortality Rate, by Age
![Page 13: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/13.jpg)
Actual and Simulated Prescription Drug Expenditures, by Age and Death
![Page 14: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/14.jpg)
Actual and Simulated Physician Services Expenditures, by Age and Death
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Actual and Simulated Hospital Expenditures, by Age and Death
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Simulations• Start everyone off with a particular type of health insurance
– Medicare only– Dual coverage by Medicaid– Private supplement without Rx coverage– Private supplement with Rx coverage– Medicare managed care (part C) without Rx coverage– Medicare managed care (part C) with Rx coverage
• Simulate behavior for 5 years
• Examine expenditures and health outcomes over 5 years
• Examine expenditures of 5-year survivors
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Five-year Simulations – with unobserved heterogeneity
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Five-year Simulations – without unobserved heterogeneity
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Five-year Simulations – with unobserved heterogeneity
22.5
10.6
4.8
10.7
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Sole Survivors vs. Marginal Survivors
Rx expenditures triple or quadruple
} With increases here, too
Increases in expenditures are 3.5 to 5.5 times larger
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Take home message• Methodologically, we have built and estimated a comprehensive
dynamic model of health behavior of the elderly as they age.
• Substantively, our model allows us to examine the effects of health insurance extensions not simply on prescription drug use but also on other types of care, as well as the impacts of this altered demand on health outcomes and subsequent behavior over time.
• Recently, the paper was accepted by JHR and is available from the authors if you are interested in our other results or the model details. (www.unc.edu/~dgill)
![Page 22: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/22.jpg)
Five-year Simulations – with unobserved heterogeneity
![Page 23: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/23.jpg)
Five-year Simulations – without unobserved heterogeneity
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Unobserved Heterogeneity Distribution
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Actual and Simulated Prescription Drug Use and Expenditures, by Age
![Page 26: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/26.jpg)
Actual and Simulated Hospital Use and Expenditures, by Age
![Page 27: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/27.jpg)
Actual and Simulated Physician Services Use and Expenditures, by Age
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Features of our Empirical Model Suggested by Theory
• Supplemental insurance coverage is chosen at the beginning of the period before observing health shocks, but with knowledge of one’s functional status, chronic conditions, and, most importantly, unobserved individual characteristics entering the period.
![Page 29: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/29.jpg)
Features of our Empirical Model Suggested by Theory
• Permanent and time-varying unobserved individual characteristics affect annual demand for all three types of medical care.
Adverse selection
![Page 30: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/30.jpg)
Features of our Empirical Model Suggested by Theory
• Health transitions are a function of medical care input allocations and health shocks during the year. (Grossman)
Adverse selectionJointly estimated demand
![Page 31: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/31.jpg)
Features of our Empirical Model Suggested by Theory
• Previous medical care use may alter the utility of medical care consumption today; hence, lagged use affects current expenditures directly as well as indirectly through health transitions.
Adverse selectionJointly estimated demandDynamic health production
![Page 32: Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics Zhou Yang, Emory University Donna B. Gilleskie, Univ of North.](https://reader036.fdocuments.in/reader036/viewer/2022062314/56649f385503460f94c54735/html5/thumbnails/32.jpg)
Features of our Empirical Model Suggested by Theory
Adverse selectionJointly estimated demandDynamic health productionDynamic demand for medical care