Veatch, et. al., argue that Dr. Rust could justify denying Tommy antibiotics based on both strictly utilitarian reasons (i.e. greater people helped in the future) and the principle of justice (i.e. those helped in the future might be worse off than Tommy). True False
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- An article in JAMA by Mandelblatt et al (2002) compared the societal costs and benefits of human papillomavirus (HPV) testing, Pap testing, and their combination to screen for cervical cancer. The paper studied 18 different population screening strategies – Pap testing alone, HPV testing alone, and Pap plus HPV testing – every 2 or 3 years for women beginning at age 20 and continuing to 65 years, 75 years, and death. The following table summarizes some of the results (low cost to high cost). Costs include screening and treatment costs, discounted over the individual’s expected lifetime. Strategy Cost ($) QALYs Saved Incremental Cost Incremental QALY ICER* 0. No screening 5,000 26.87 1. Pap every 3 years to age 75 6,825 27.02 2. HPV every 3 years to age 75 6,950 27.02 3. Pap every 2 years to age 75 7,275 27.04 4. Pap + HPV every 3 years to age 75 7,400 27.04 5. HPV every 2 years to age 75 7,450…The following is an excerpt from "The Oregon Experiment- Effects of Medicaid on Clinical Outcomes," by Baicker et al. (2013). Fill in the blank identifying the method used in this paper given the description in the paragraph (I've given you a hint on the key points by italicizing a few phrases): "Adults randomly selected in the lottery were given the option to apply for Medicaid, but not all persons selected by the lottery enrolled in Medicaid (either because they did not apply or because they were deemed ineligible). Lottery selection increased the probability of Medicaid coverage during our study period by 24.1 percentage points (95% confidence interval [CI], 22.3 to 25.9; P<0.001). The subgroup of lottery winners who ultimately enrolled in Medicaid was not comparable to the overall group of persons who did not win the lottery. We, therefore, used a standard______ _approach... to estimate the causal effect of enrollment in Medicaid. Intuitively, since the lottery increased the chance…While it may seem intuitively obvious that health expenditures will increase as a population age – older people, after all, are less healthy on average than younger people – in fact, several prominent health economists have argued that it is not ageing per se, but rather some of the correlates of an ageing population that cause health expenditures to rise as population ages. For instance, Getzen (1992) argues that, at least in part, rising health expenditures with an ageing population are due to the higher incomes and resources of the older population; health care is a normal good, so higher incomes lead to higher expenditures. In a similar manner, Zweifel et al. (1999) argue that the real problem with an ageing population, at least as far as health care costs are concerned, is that there will be more people who are within a couple of years of dying. Since health care expenditures rise sharply close to the end of life, it is this, rather than population ageing by itself, that leads to…
- While it may seem intuitively obvious that health expenditures will increase as a population ages – older people after all are less healthy on average than younger people in fact, several prominent health economists have argued that it is not aging per se, but rather some of the correlates of an aging population that cause health expenditures to rise as a population ages. For instance, Getzen (1992) argues that, at least in part, rising health expenditures with an aging population are due to the higher incomes and resources of the older population; health care is a normal good, so higher incomes lead to higher expenditures. In a similar manner, Zweifel et al. (1999) argue that the real problem with an aging population, at least as far as health care costs are concerned, is that there will be more people who are within a couple of years of dying. Since health care expenditures rise sharply close to the end of life, it is this, rather than population aging by itself, that leads to higher…You have been recruited as an expert in health economics to recommend what is the best therapy for a group of patients. In the image below you will find the decision tree showing the probabilities for different health states and outcomes for patients undergoing two possible treatments, No drug therapy and Drug therapy. Based on the expected cost, which therapy would you recommend as the least expensive? Explain how you arrived at your recommendation and show your calculations the space provided. No drug theraphy ? Drug theraphy ? HEALTH STATES PROBABILITIES Remain in Good Health 0.5 Develop disease A 0.2 Develop disease B 0.2 Die 0.1 Remain in Good Health 0.53 Develop disease A 0.16 Develop disease B 0.22 Die 0.09 OUTCOMES (Costs) $0 $400 $300 $200 SO $800 $500 $0Suppose that there are two countries, Beta and Gamma. Suppose further that everyone in country Beta is on Insurance B and everyone in country Gamma is on Insurance G. Suppose further that both governments use government-set price controls. In 2005, country Beta decided to change the reimbursement rate for pharmaceuticals, but country Gamma did not make this change. You, a researcher, want to study the effect of offering coverage for this drug had an impact on health expenditures. You have average health expenditures for State Beta and Gamma prior to 2005 and post-2005. Using the information in the table below, a quick difference-in-difference calculation suggests covering this drug ____ health expenditures by approximately ____. State Time Periods Pre-2005 Post-2005 State Beta $1000 $1400 State Gamma $1500 $1700 a. decreased; $400 b. increased; $200 c. increased; $400 d. decreased; $200
- Suppose that there are two countries, Beta and Gamma. Suppose further that everyone in country Beta is on Insurance B and everyone in country Gamma is on Insurance G. Suppose further that both governments use government-set price controls. In 2005, country Beta decided to change the reimbursement rate for pharmaceuticals, but country Gamma did not make this change. You, a researcher, want to study the effect of offering coverage for this drug had an impact on health expenditures. You have average health expenditures for State Beta and Gamma prior to 2005 and post-2005. Using your finding from the question above, you can infer that country Beta likely _____ reimbursement rates for pharmaceutical drugs. State Time Periods Pre-2005 Post-2005 State Beta $1000 $1400 State Gamma $1500 $1700 a. lower b. did not change c. raisedIndicate whether each statement is true or false, and justify your answer.Cost–benefit analysis (CBA) allows us to pick an optimal treatment from the list of potentially cost-effective treatments.Huskamp et. al (2003) showed decreases in copayments are associated with increases in adherence. This is an example of... Increasing adherence with methadone-based reinforcement Increasing adherence with prize-based reinforcement Increasing adherence with traditional economics Increasing adherence with remote voucher-based reinforcement
- Suppose that there are two countries, Beta and Gamma. Suppose further that everyone in country Beta is on Insurance B and everyone in country Gamma is on Insurance G. Suppose further that both governments use government-set price controls. In 2005, country Beta decided to change the reimbursement rate for pharmaceuticals, but country Gamma did not make this change. You, a researcher. want to study the effect of offering coverage for this drug had an impact on health expenditures. You have average health expenditures for State Beta and Gamma prior to 2005 and post-2005. Using the information in the table below, a quick difference-in-difference calculation suggests covering this drug health expenditures by approximately. Time Periods Pre-2005 Post-2005 $1000 $1400 $1500 $1700 State State Beta State Gamma decreased: $400 increased; $200 decreased: $200 increased; $400In the early 2000s, the state of Massachusetts in the U.S. implemented a health reform aimed at enrolling people without health insurance into an insurance plan. The reform required people without health insurance (at least those who could afford it) to buy insurance, and put in place penalties on those who nevertheless chose not to buy insurance. Below is the abstract of a recent National Bureau of Economic Research working paper entitled “Health Reform, Health Insurance, and Selection: Estimating Selection into Health Insurance Using the Massachusetts Health Reform” by Martin Hackmann, Jonathan Kolstad, and Amanda Kowalski. The authors conducted a study of the effects of the Massachusetts reform. They write: We implement an empirical test for selection into health insurance using changes in coverage induced by the introduction of mandated health insurance in Massachusetts. Our test examines changes in the cost of the newly insured relative to those who were insured prior to the…Which of the following are possible reasons why empirical studies do not always find evidence for adverse selection in the real world? (please choose all that apply) Insurees with higher cognitive ability (though low-risk) were more likely to purchase supplemental insurance Insurers can accurately predict customers risk Insurees misperceive their risk Risk aversion overcomes adverse selection on health risks