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Why Nobody Believes the Numbers: Distinguishing Fact from Fiction in Population
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Oggetto che si trova a: Grand Rapids, Michigan, Stati Uniti
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Numero oggetto eBay:317164493268
Specifiche dell'oggetto
- Condizione
- ISBN
- 1118313186
- EAN
- 9781118313183
- Manufacturer
- Wiley
- Brand
- Wiley
- Binding
- TC
- Book Title
- Why Nobody Believes the Numbers: Distinguishing Fa
Informazioni su questo prodotto
Product Information
Why 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, methodologies, and grips on reality. Why Nobody Believes the Numbers i ncludes 12 case studies of vendors, carriers, and consultants who were apparently playing hooky the day their teacher covered fifth-grade math, as told by an author whose argument style can be so persuasive that he was once able to convince a resort to sell him a timeshare. The book's lesson: no need to believe what your vendor tells you -- instead you can estimate your own savings using "ingredients you already have in your kitchen." Don't be intimidated just because you lack a PhD in biostatistics, or even a Masters, Bachelor's, high-school equivalency diploma or up-to-date inspection sticker. Why Nobody Believes the Numbers explains how to determine if the ROIs are real...and why they usually aren't. You'll learn how to: Figure out whether you are "moving the needle" or just crediting a program with changes that would have happened anyway Judge whether the ROIs your vendors report are plausible or even arithmetically possible Synthesize all these insights into RFPs and contracts that truly hold vendors accountable for results
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118313186
ISBN-13
9781118313183
eBay Product ID (ePID)
111987549
Product Key Features
Number of Pages
240 Pages
Language
English
Publication Name
Why Nobody Believes the Numbers : Distinguishing Fact from Fiction in Population Health Management
Publication Year
2012
Subject
Public Health, Health Care Delivery, Insurance / Health
Type
Textbook
Subject Area
Business & Economics, Medical
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
14.4 Oz
Item Length
9.3 in
Item Width
6.3 in
Additional Product Features
LCCN
2012-003575
Dewey Edition
23
Reviews
"It's rare that a book about mathematics is funny. And this is not just any math: It's population health analysis. This is the stuff that employers, benefit managers, CFOs and many others want to know: how to figure out if an intervention "worked" and reduced costs."--Employee Benefit News "Do yourself a favor and buy this book. And, keep it handy the next time you entertain a DM/wellness proposal or examine data submitted to you by your vendor. You will never read those proposals or reports the same way again"--Khanna on Health "Digital Health Book of the Year"--Forbes
Illustrated
Yes
Dewey Decimal
362.1/042584
Intended Audience
Trade
Lc Classification Number
Ra413.5.U5l49 2012
Table of Content
Introduction xiii Chapter 1 Actuaries Behaving Badly 1 Chapter 2 Plausibility Testing: How to Measure Outcomes Using Ingredients You Already Have in Your Kitchen 35 Chapter 3 Case Studies That Flunk Every Plausibility Test Known to Mankind 53 Chapter 4 Case Studies That Flunk Every Plausibility Test Known to Mankind and Then Some 73 Chapter 5 Case Studies of Where, When, and How Wellness Programs Have Actually Worked 125 Chapter 6 Yes, Virginia, There Is a Savings Clause 141 Chapter 7 Disease Management Programs That Actually Work (Pinch Me) 151 Chapter 8 Contracting/RFP Checklist of Do's and Don'ts (Mostly Don'ts) 175 Appendix: The Keys to the Numerical Kingdom 193 Author's Note on Sources 195 Notes 197 Glossary 201 About the Author 207 Bibliography and Further Reading 209 Acknowledgments 211
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