Why nobody believes the numbers : distinguishing fact from fiction in population health management /

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Bibliographic Details
Author / Creator:Lewis, Alfred.
Imprint:Hoboken, N.J. : Wiley, c2012.
Description:1 online resource.
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/9039564
Hidden Bibliographic Details
ISBN:9781118332061 (epub)
1118332067 (epub)
9781118334201 (electronic bk. : adobe pdf)
1118334205 (electronic bk. : adobe pdf)
9781118335369 (mobipocket)
1118335368 (mobipocket)
9781118313183 (hardback)
Notes:Description based on online resource; title from digital title page (viewed on Mar. 25, 2013).
Other form:Print version: Lewis, Alfred. Why nobody believes the numbers Hoboken, N.J. : Wiley, c2012 9781118313183
Standard no.:9786613678898
Table of Contents:
  • Machine generated contents note: IntroductionChapter One: Actuaries Behaving BadlyChapter Two: Plausibility-testing: How to Measure Outcomes Using IngredientsChapter Three: Case Studies that Flunk Every Plausibility Test Known to MankindChapter Four: Case Studies that Flunk Every Plausibility Test Known to Mankind and Then SomeChapter Five: Case Studies of Where, When, and How Wellness Programs Have Actually WorkedChapter Six: Yes, Virginia, There Is a Savings ClauseChapter Seven: Disease Management Programs That Actually Work (Pinch Me)Chapter Eight: Contracting/RFP Checklist of Do's and Don'ts (Mostly Don'ts)Appendix: The Keys to the Numerical KingdomAuthor's Note on SourcesEndnotesGlossaryAbout the Author.
  • Why Nobody Believes the Numbers; Contents; Introduction; Chapter 1 Actuaries Behaving Badly; Some Background: We're Shocked, Shocked, to Find That Invalidity Is Going On in Here; The Proof: Doing the Pre-Post Math for Grown-Ups; Adding Asthmatic #2 to the disease population will exacerbate the savings misstatement because he gets added only after his high-cost sentinel event; Using the Trend of the Non-chronic Population as a Proxy for the Chronic Population will Overstate Savings; Epidemiology; Math; The Industry Counterproof to the Epidemiology and the Math.