The Health Care Data Guide: Learning from Data for Improvement

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

 

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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
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

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
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
Copyright

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About the author (2011)

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.

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