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