Statistical Methods for Healthcare Performance Monitoring
eBook - ePub

Statistical Methods for Healthcare Performance Monitoring

  1. 269 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Methods for Healthcare Performance Monitoring

Book details
Table of contents
Citations

About This Book

Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it's more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions.

Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists.

Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.

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Yes, you can access Statistical Methods for Healthcare Performance Monitoring by Alex Bottle, Paul Aylin in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2016
ISBN
9781315355467
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. List of Illustrations
  7. List of Tables
  8. Preface
  9. Authors
  10. 1. Introduction
  11. 2. Origins and Examples of Monitoring Systems
  12. 3. Choosing the Unit of Analysis and Reporting
  13. 4. What to Measure: Choosing and Defining Indicators
  14. 5. Sources of Data
  15. 6. Risk-Adjustment Principles and Methods
  16. 7. Output the Observed and Model-Predicted Outcomes (*)
  17. 8. Composite Measures
  18. 9. Setting Performance Thresholds and Defining Outliers
  19. 10. Making Comparisons across National Borders
  20. 11. Presenting the Results to Stakeholders
  21. 12. Evaluating the Monitoring System
  22. 13. Concluding Thoughts
  23. Appendix A: Glossary of Main Statistical Terms Used
  24. References
  25. Index