Q Module Five assignment 09232023

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Purdue University *

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N678

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Health Science

Date

Dec 6, 2023

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docx

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3

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Running head: MARKET FOR HEALTH INSURNACE 1 a. Moral Hazard: This term denotes increased risk-taking or service overuse when individuals are insured, as they bear only a fraction of the costs. In healthcare, it results in excessive consumption of services, raising costs for insurers and potentially limiting care availability. b. Adverse Selection: Adverse selection happens when higher-risk individuals are more likely to buy insurance, leading to an imbalanced risk pool. It's vital in medical markets, potentially causing higher premiums, limited coverage, and market instability. c. Asymmetric Information: This concept involves one party having more information than the other, often seen in healthcare where individuals know more about their health than insurers. It can lead to adverse selection and moral hazard, affecting market efficiency. d. Third-Party Payers: Insurance companies, managed care organizations or government programs cover the costs of healthcare services for patients. They play a key role in facilitating access to healthcare; but may also contribute to moral hazard by reducing patients' direct financial responsibility, possibly resulting in service overuse. 8/2 Health insurance can lead to the overuse of healthcare services through the phenomenon of moral hazard. When individuals have health insurance, they often pay only a fraction of the total cost of medical care, either through premiums or copayments. This reduced financial burden can lead to several behaviors that contribute to increased healthcare utilization, reduced consideration of costs, and a preference for higher-cost treatments (Henderson, 2023). Regarding poor diets and little exercise, health and prescription drug insurance may indirectly contribute to such behaviors. If individuals know that they can receive medical interventions to manage the health consequences of an unhealthy lifestyle, they may be less motivated to maintain a healthy lifestyle. This can result in higher healthcare costs and poorer health outcomes. Measuring the inefficiency resulting from these behaviors can be challenging but not impossible. Researchers can examine healthcare costs, health outcomes, and preventive care utilization to better understand the impact of health insurance on healthcare utilization and lifestyle choices. An analysis of healthcare spending patterns among insured individuals compared to uninsured individuals can provide insights into overutilization. Studies assess whether insured individuals with certain conditions (e.g., diabetes) are more likely to engage in unhealthy behaviors due to the perception of medical intervention as a safety net; moreover, research investigate whether insured individuals are less likely to engage in preventive behaviors (e.g., exercise, healthy diet) due to reliance on medical interventions (Pera et al., 2021). 8/3 Dealing with the conflict between genetic predisposition and insurability is a complex ethical and policy issue. One major consideration is genetic discrimination, where individuals may avoid genetic testing due to fears of insurance coverage loss. Denying insurance to those with genetic predispositions can limit their access to essential healthcare services and disrupt risk pools, potentially leading to adverse selection and market instability (Tiller et al., 2023). Ethically, many argue that it's unjust to deny coverage based on unchangeable genetic factors. Potential solutions are proposed as anti-discrimination policies, risk pooling mechanisms, investments in public health, and providing genetic counseling to inform individuals about genetic testing and insurance implications. Ultimately, striking a balance between individual insurability and genetic information is a matter of public policy and ethical consideration, with the aim of promoting equitable access to healthcare while managing the sustainability of insurance markets.
Running head: MARKET FOR HEALTH INSURNACE 2 References Henderson, James W. (2023). Health Economics and Policy . Cengage Learning. Pera, M. F., Cain, M. M., Emerick, A., Katz, S., Hirsch, N. A., Sherman, B.W., Bravata, D. M. (2021). Social determinants of health challenges are prevalent among commercially insured populations. Journal Primary Care Community Health, 12 , 1-10. DOI: 10.1177/21501327211025162. Tiller, J., Bakshi, A., Dowling, G., Keogh, L., McInerney-Leo, A., Barlow-Stewart, K. Boughtwood, T., Gleeson, P., Delatycki, M. B., Winship, I., Otlowski, M., & Lacaze, P. (2023). Community concerns about genetic discrimination in life insurance persist in Australia: A survey of consumers offered genetic testing. European Journal of Human Genetics ,1-9. https://doi.org/10.1038/s41431-023-01373-1 References Galvani, A. P., Parpia, A. S., Foster, E. M., Singer, B. H., & Fitzpatrick, M. C.(2020). Improving the prognosis of health care in the USA. Lancet, 395 (10223), 524-533. DOI: 10.1016/S0140-6736(19)33019-3. Getzen, T. E. (2000). Health care is an individual necessity and a national luxury: Applying multilevel decision models to the analysis of health care expenditures. Journal of Health Economics, 19(2), 259-270. https://doi.org/10.1016/S0167-6296(99)00032-6.
Running head: MARKET FOR HEALTH INSURNACE 3 Yang, L. H., Wong, L.Y., Grivel, M.M., & Hasin, D. S. (2017). Stigma and substance use disorders: an international phenomenon. Current Opinion in Psychiatry, 30 (5), 378-388. DOI: 10.1097/YCO.0000000000000351.
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