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Mark S. Kamlet

Researcher at Carnegie Mellon University

Publications -  39
Citations -  2435

Mark S. Kamlet is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Politics & Federal budget. The author has an hindex of 22, co-authored 39 publications receiving 2355 citations. Previous affiliations of Mark S. Kamlet include Johns Hopkins University.

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The economic burden of depression

TL;DR: These economic figures provide a lower-bound estimate of the full economic burden of major depression and further emphasize the need for timely recognition and treatment to potentially minimize the negative impact of the illness on society.
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Cost-effectiveness of treatments for major depression in primary care practice.

TL;DR: Standardized treatments for depression lead to better outcomes than usual care but also lead to higher costs, however, the estimates of the cost per quality-of-life year gained for standardized pharmacotherapy are comparable with those found for other treatments provided in routine practice.
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QALYs: Some Challenges

TL;DR: Four issues are addressed in possible valuation perspectives of ex ante health state utilities, including the exist-ence of unwillingness to trade lifetime in elicitations of experi-enced utility, and the discrepancy between aggregateindividual utility of health programs on the one hand and societal valuations that include concerns for fairness.
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Individual Utilities Are Inconsistent with Rationing Choices A Partial Explanation of Why Oregon's Cost-Effectiveness List Failed

TL;DR: People's an swers to utility elicitations cannot be easily translated into social policy, and per son-tradeoff elicitations, like those given in the rationing survey, cannot be substituted for established methods of utility elicitation until they can be performed in ways that yield acceptable internal consistency.
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Risk perception and the value of safety.

TL;DR: Econometric results, using TOBIT estimation procedures, support the importance of both types of variables in explaining WTP across all 10 hazards, and show that WTP for well-defined hazards is most influenced by perceived personal exposure, whileWTP for less well- defined risks is most influence by levels of dread and severity.