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101 0 $aeng
135   $aurcn|||||||||
181   $ctxt
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200 10$aWhy nobody believes the numbers $edistinguishing fact from fiction in population health management /$fAlfred Lewis
205   $a1st ed.
210   $aHoboken, N.J. $cWiley$dc2012
215   $a1 online resource (242 p.)
300   $aDescription based upon print version of record.
311   $a1-118-31318-6 
320   $aIncludes bibliographical references.
327   $aMachine generated contents note: Introduction Chapter One: Actuaries Behaving Badly Chapter Two: Plausibility-testing: How to Measure Outcomes Using Ingredients Chapter Three: Case Studies that Flunk Every Plausibility Test Known to Mankind Chapter Four: Case Studies that Flunk Every Plausibility Test Known to Mankind and Then Some Chapter Five: Case Studies of Where, When, and How Wellness Programs Have Actually Worked Chapter Six: Yes, Virginia, There Is a Savings Clause Chapter 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 Kingdom Author's Note on Sources Endnotes Glossary About the Author.
330   $aWhy Nobody Believes the Numbers introduces a unique viewpoint to population health outcomes measurement:   Results/ROIs should be presented as they are, not as we wish they would be.  This viewpoint contrasts sharply with vendor/promoter/consultant claims along two very important dimensions:  (1)     Why Nobody Believes presents outcomes/ROIs achievable right here on this very planet...  (2)   ...calculated using actual data rather than controlled substances.  Indeed, nowhere in healthcare is it possible to find such sharply contrasting worldviews, methodology
606   $aHealth maintenance organizations$xEvaluation$zUnited States
606   $aManaged care plans (Medical care)$xStandards$zUnited States
615  0$aHealth maintenance organizations$xEvaluation
615  0$aManaged care plans (Medical care)$xStandards
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906   $aBOOK
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996   $aWhy nobody believes the numbers$94065037
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