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Traffic safety. --- Automobile driving --- Highway safety --- Road safety --- Traffic accidents --- Public safety --- Traffic engineering --- Transportation, Automotive --- Automobiles --- Safety measures --- Prevention --- Collision avoidance systems
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This report details the analyses that RAND performed to support the Health Care Financing Administration's efforts to design, develop and implement the Prospective Payment System for inpatient rehabilitation.
Hospitals. --- Hospitals - Rehabilitation services - Prospective payment - United States. --- Hospitals --- Inpatients --- Prospective Payment System --- Rehabilitation Centers --- Reimbursement Mechanisms --- Health Facilities --- Patients --- Persons --- Health Care Facilities, Manpower, and Services --- Insurance, Health, Reimbursement --- Health Care --- Financing, Organized --- Named Groups --- Economics --- Health Care Economics and Organizations --- Hospitals & Medical Centers --- Public Health --- Health & Biological Sciences --- Rehabilitation services --- Prospective payment --- Healthcare Economics and Organizations --- Capital --- Conditions, Economic --- Consumption --- Cost of Living --- Easterlin Hypothesis --- Economic Conditions --- Economic Factors --- Economic Policies --- Economic Policy --- Economics, Home --- Factors, Economic --- Home Economics --- Household Consumption --- Macroeconomic Factors --- Microeconomic Factors --- Policies, Economic --- Policy, Economic --- Production --- Remittances --- Utility Theory --- Consumer Price Index --- Condition, Economic --- Consumer Price Indices --- Consumption, Household --- Economic Condition --- Economic Factor --- Factor, Economic --- Factor, Macroeconomic --- Factor, Microeconomic --- Factors, Macroeconomic --- Factors, Microeconomic --- Household Consumptions --- Hypothesis, Easterlin --- Index, Consumer Price --- Indices, Consumer Price --- Living Cost --- Living Costs --- Remittance --- Theories, Utility --- Theory, Utility --- Utility Theories --- Community Financing --- Grants --- Organized Financing --- Financing, Community --- Grant --- Community-Based Distribution --- Contraceptive Distribution --- Delivery of Healthcare --- Dental Care Delivery --- Distribution, Non-Clinical --- Distribution, Nonclinical --- Distributional Activities --- Healthcare --- Healthcare Delivery --- Healthcare Systems --- Non-Clinical Distribution --- Nonclinical Distribution --- Delivery of Dental Care --- Health Care Delivery --- Health Care Systems --- Activities, Distributional --- Activity, Distributional --- Care, Health --- Community Based Distribution --- Community-Based Distributions --- Contraceptive Distributions --- Deliveries, Healthcare --- Delivery, Dental Care --- Delivery, Health Care --- Delivery, Healthcare --- Distribution, Community-Based --- Distribution, Contraceptive --- Distribution, Non Clinical --- Distributional Activity --- Distributions, Community-Based --- Distributions, Contraceptive --- Distributions, Non-Clinical --- Distributions, Nonclinical --- Health Care System --- Healthcare Deliveries --- Healthcare System --- Non Clinical Distribution --- Non-Clinical Distributions --- Nonclinical Distributions --- System, Health Care --- System, Healthcare --- Systems, Health Care --- Systems, Healthcare --- Third-Party Payers --- Health Insurance Reimbursement --- Reimbursement, Health Insurance --- Third-Party Payments --- Health Insurance Reimbursements --- Insurance Reimbursement, Health --- Insurance Reimbursements, Health --- Payer, Third-Party --- Payers, Third-Party --- Payment, Third-Party --- Payments, Third-Party --- Reimbursements, Health Insurance --- Third Party Payers --- Third Party Payments --- Third-Party Payer --- Third-Party Payment --- Healthcare Facilities, Manpower, and Services --- Person --- Clients --- Client --- Patient --- Facilities, Health --- Facility, Health --- Health Facility --- Mechanism, Reimbursement --- Mechanisms, Reimbursement --- Reimbursement Mechanism --- Centers, Rehabilitation --- Center, Rehabilitation --- Rehabilitation Center --- Adjustment, Discretionary --- Discretionary Adjustment Factor --- Prospective Pricing --- Prospective Reimbursement --- Reimbursement, Prospective --- Adjustment Factor, Discretionary --- Adjustment Factors, Discretionary --- Adjustments, Discretionary --- Discretionary Adjustment --- Discretionary Adjustment Factors --- Discretionary Adjustments --- Factor, Discretionary Adjustment --- Factors, Discretionary Adjustment --- Payment System, Prospective --- Payment Systems, Prospective --- Pricing, Prospective --- Prospective Payment Systems --- Prospective Reimbursements --- Reimbursements, Prospective --- System, Prospective Payment --- Systems, Prospective Payment --- Inpatient --- Benevolent institutions --- Infirmaries --- Health facilities --- Prospective Payment System. --- Inpatients. --- economics. --- United States.
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In 2001, use of the STRIDE data base for the purposes of analyzing drug prices and the impact of public policies on drug markets came under serious attack by the National Research Council (Manski et al., 2001; Horowitz, 2001). While some of the criticisms raised by the committee were valid, many of the concerns can be easily addressed through more careful use of the data. In this paper, we first disprove Horowitz's main argument that prices are different for observations collected by different agencies within a city. We then revisit other issues raised by the NRC and discuss how certain limitations can be easily overcome through the adoption of random coefficient models of drug prices and by paying serious attention to drug form and distribution levels. Although the sample remains a convenience sample, we demonstrate how construction of city-specific price and purity series that pay careful attention to the data and incorporate existing knowledge of drug markets (e.g. the expected purity hypothesis) are internally consistent and can be externally validated. The findings from this study have important implications regarding the utility of these data and the appropriateness of using them in economic analyses of supply, demand and harms.
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We study how the trajectory of health for the near-elderly uninsured changes upon enrolling into Medicare at the age of 65. We find that Medicare increases the probability of the previously uninsured having excellent or very good health, decreases their probability of being in good health, and has no discernable effects at lower health levels. Surprisingly, we found Medicare had a similar effect on health for the previously insured. This suggests that Medicare helps the relatively healthy 65 year olds, but does little for those who are already in declining health once they reach the age of 65. The improvement in health between the uninsured and insured were not statistically different from each other. The stability of insurance coverage afforded by Medicare may be the source of the health benefit suggesting that universal coverage at other ages may have similar health effects.
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