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|a Lewis, Alfred,
|e author.
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|a Why nobody believes the numbers :
|b distinguishing fact from fiction in population health management /
|c Al Lewis.
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264 |
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|a Hoboken, N.J. :
|b John Wiley & Sons, Inc.,
|c [2012]
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|c ©2012
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300 |
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|a 1 online resource (xxi, 213 pages) :
|b color illustrations
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|a Includes bibliographical references.
|
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|g Introduction. Chapter 1.
|t Actuaries behaving badly --
|g Chapter 2.
|t Plausibility-testing : how to measure outcomes using ingredients --
|g Chapter 3.
|t Case studies that flunk every plausibility test known to mankind --
|g Chapter 4.
|t Case studies that flunk every plausibility test known to mankind and then some --
|g Chapter 5.
|t Case Studies of Where, When, and How Wellness Programs Have Actually Worked --
|g Chapter 6.
|t Yes, Virginia, There Is a Savings Clause --
|g Chapter 7.
|t Disease management programs that actually work (Pinch me) --
|g Chapter 8.
|t Contracting/RFP checklist of do's and don'ts (mostly don'ts) --
|g Appendix: the Keys to the numerical kingdom.
|
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|a Online resource; title from electronic title page (ebrary, viewed on June 23, 2015).
|
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|a "The health care industry is fraught with numbers that both human resource professionals and health plan executives cannot believe or understand. Health care vendors routinely show you outcomes reports for your Population Health Improvement programs whose numbers are much closer to fiction than fact. But you don't know why these numbers are fictional, do you? You leaf through these vendor outcomes reports, and wonder the best way to save money for your business while providing an optimal service. Measurement of savings, whether described as Return on Investment or another term, is the most contentious issue in disease management. Why Nobody Believes the Numbers provides information on benefits decisions that can be estimated without math, using observational data to figure out whether you are "moving the needle" or not. Better decisions can be made by looking critically at the data and using the information to make smart decisions in the future. For example, you can look at actual event rates over time (heart attacks, asthma attacks, etc.) and ask whether the return-on-investment (ROI) that a vendor is insisting you received is plausible given the changes in event rates over time in your population. Why Nobody Believes the Numbers counsels the opposite of the health care industry standard. You check every piece of arithmetic you see because in this field most calculations are wrong, often to the point of being impossible. With the information provided, health plan providers and benefits departments will be able to better understand the numbers in outcome measurement reports to provide quality services and save money"--
|c Provided by publisher.
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|a English.
|
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Health maintenance organizations
|z United States
|x Evaluation.
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|z United States.
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|i Print version:
|a Lewis, Alfred.
|t Why nobody believes the numbers.
|d Hoboken, N.J. : Wiley, ©2012
|z 9781118313183
|w (DLC) 2012003575
|w (OCoLC)769419862
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