The Health Care Data Guide: Learning from Data for Improvement

Lloyd P. Provost, Sandra K. Murray

John Wiley & Sons, Dec 6, 2011 - Medical - 480 pages

The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes.

Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes.

Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data.

Companion Web site: www.josseybass.com/go/provost

What people are saying

User Review -

The book is actually pretty good. This bad review is actually about the horribly formatted pdf version, bleed marks, messed up page numbers and no index make this impossible to read.
the ePub version looks ok, but the publisher should pull the pdf version and fix it.

Contents

• Using Data for Improvement: 1
• Chapter: 4
• Figure 8: 8
• Figure 10: 10
• TABLES: 12
• Chapter: 18
• Using Data for Improvement: 25
• 1: 26
• 1: 35
• 23 Patients Waiting Time Attribute Date Left Versus: 58
• 25 Percentage Unplanned Readmissions Worsening: 62
• Understanding Variation Using Run Charts: 67
• 2 Run Chart Leading to Questions: 68
• 1: 70
• Chapter 7: 73
• 6 Improvement Evident Using a Set Lab of Run Charts: 74
• Too Few Runs on a Run Chart: 80
• 15 Measure with Too Few Runs: 81
• 22 Beginning a Run Chart as Soon as the First Data Are Available: 87
• 31 Plotting Monthly Data in the Absence of Events: 93
• 40 Run Chart of Autocorrelated Data from a Patient Registry: 99
• 43 Run Chart and CUSUM Run Chart of Patient: 103
• Chapter 8: 108
• 1 Using Shewhart Charts to Give Direction to: 109
• 5 Rules for Determining a Special Cause: 116
• 13 Run Charts and Shewhart Charts for Waiting Time Data: 122
• 19 Stratification of Intake Process Data with a Shewhart Chart: 128
• 26 Special Cause in Desirable Direction: 134
• 35 Frequency Plots Comparing Common Cause to Special: 140
• Health Care: 153
• 1: 160
• Shewhart Charts for Attribute Data: 163
• and U Charts for Counts of Nonconformities: 173
• 1: 179
• Process Capability: 184
• Calculating Shewhart Limits: 192
• Dealing with Some Issues: 201
• Some Cautions When Using I Charts: 211
• 16 Three Cases of I Charts with Limits Also Calculated: 215
• Advanced Theory and Methods with Data: 217
• 2 Figure 7 3 Figure 7 4 Example Calculating Example of of Limits an an NP X and for Chart R X Chart and R Charts: 222
• 9 G Chart for Number of ICU Admissions Between Infections: 229
• 14 Moving Average Charts: 235
• 17 CUSUM Chart of HbA1c Values: 241
• 23 General Form of Multivariate Control Chart T2 Chart: 247
• 146: 249
• 1 Chart with Slanted Center Line for Obesity Data: 254
• 9 Ineffective I Chart for Time to Complete Administrative Task: 260
• Scatter Plot to Evaluate Autocorrelation of Registry Data: 266
• U Chart and U Chart for Medication Errors: 272
• Expected Values from CaseMix Adjustment on Shewhart Chart: 279
• Drilling Down into Aggregate Data for Improvement: 281
• 174: 284
• Shewhart Chart Revealing Improvement Not Maintained: 285
• Shewhart Chart at the Aggregate Level: 291
• by Quarter: 293
• Separate Shewhart Chart for Each Unit Common Cause to: 297
• Pareto Chart of ADE Occurrence by Medication Name: 303
• Applications of Shewhart Charts in Health Care: 307
• Run Chart of Temperatures for Patient with Fever: 311
• Run Chart of Patient Monitoring Data Half Hour Summaries: 317
• 179: 320
• Learning from Patient Feedback to Improve Care: 325
• 185: 326
• Satisfaction Survey: 331
• Using Shewhart Charts in Health Care Leadership: 349
• Appropriate Display of Vector of Measures: 359
• Case Studies: 369
• the X and Process: 385
• 186: 413
• Improvement: 424
• by Physician: 431
• Index: 435
• 149: 436
• 322: 439
• 187: 441
• 192: 443
• Shewhart Chart Selection Guide: 446

About the author

Lloyd P. Provost is a cofounder of Associates in Process Improvement, the developers of the Model for Improvement roadmap and the Quality as a Business Strategy template for focusing organizations on improvement. Lloyd is a senior fellow at the Institute for Healthcare Improvement, where he supports the use of data for learning in programs.

Sandra K. Murray is a principal in Corporate Transformation Concepts, an independent consulting firm. She is faculty for the Institute for Healthcare Improvement's year-long Improvement Advisor Professional Development Program and their Breakthrough Series College. Sandra has taught numerous programs through the National Association for Healthcare Quality. Her active cohort of client organizations encompasses the spectrum of health care delivery.

Bibliographic information

• Title: The Health Care Data Guide: Learning from Data for Improvement
• Authors: Lloyd P. Provost, Sandra K. Murray
• Publisher: John Wiley & Sons, 2011
• ISBN: 1118085884, 9781118085882
• Length: 480 pages
• Subjects: Medical / General; Medical / Public Health