2004
DOI: 10.7249/tr169
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Health Status and Medical Treatment of the Future Elderly: Final Report

Abstract: The RAND Corporation is a nonprofit research organization providing objective analysis and effective solutions that address the challenges facing the public and private sectors around the world. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors. R ® is a registered trademark.

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Cited by 66 publications
(63 citation statements)
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References 112 publications
(161 reference statements)
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“…We note that the coefficient for the proportion of the population that is Medicare-aged is non-significant but suggests that counties with a higher proportion of elders are associated with fewer physicians per capita. This finding counters the large literature documenting higher physician utilization rates among the elderly than non-elderly adults (see, e.g., Goldman et al 2004). We believe that this anomalous finding is spurious and reflects the association between the proportion of elderly and other unobserved regional economic characteristics not in the model.…”
Section: Projecting Physician Per Capita Demandcontrasting
confidence: 74%
“…We note that the coefficient for the proportion of the population that is Medicare-aged is non-significant but suggests that counties with a higher proportion of elders are associated with fewer physicians per capita. This finding counters the large literature documenting higher physician utilization rates among the elderly than non-elderly adults (see, e.g., Goldman et al 2004). We believe that this anomalous finding is spurious and reflects the association between the proportion of elderly and other unobserved regional economic characteristics not in the model.…”
Section: Projecting Physician Per Capita Demandcontrasting
confidence: 74%
“…The model is an extension of the Future Elderly Model (FEM) (Goldman et al, 2004). The FEM consists of a transition model across health states that allows for unobserved heterogeneity (frailty) and dynamic population simulations.…”
Section: Microsimulation Model Of Health and Economic Dynamicsmentioning
confidence: 99%
“…We conduct simulations using the FEM, a dynamic microsimulation developed by Goldman et al to forecast the implications of different medical-technology scenarios on long-term health and health-care spending [12]. FEM follows Americans aged 50 and older and projects their health and medical spending over time.…”
Section: Methodsmentioning
confidence: 99%