Description

Book Synopsis


Table of Contents

Figures, Tables, and Exhibits xiii

Preface xxix

Acknowledgments xxxiii

The Authors xxxv

About the Companion Website xxxvii

Part I Using Data for Improvement 1

Chapter 1 Improvement Methodology 3

Fundamental Questions for Improvement 4

What Are We Trying to Accomplish? 5

How Will We Know that a Change is an Improvement? 7

What Changes Can We Make That Will Result in Improvement? 8

The PDSA Cycle for Improvement 9

Tools and Methods to Support the Model for Improvement 13

Designing PDSA Cycles for Testing Changes 15

Analysis of Data from PDSA Cycles 19

Summary26 Key Terms 26

Chapter 2 Using Data for Improvement 27

What Does the Concept of Data Mean? 27

How are Data Used? 29

Types of Data 36

Using A Family of Measures 43

The Importance of Operational Definitions 47

Data for Different Types of Studies 51

Sampling53 Sampling Strategies 55

What About Sample Size? 58

Stratification of Data 61

What about Case-Mix Adjustment? 63

Transforming Data 65

Analysis and Presentation of Data 68

Summary75 Key Terms 75

Chapter 3 Understanding Variation Using Run Charts 77

Introduction77 What Is a Run Chart? 77

Use of a Run Chart 80

Constructing a Run Chart 80

Examples of Run Charts for Improvement Projects 84

Rules to Aid in Interpreting Run Charts 89

Special Issues in Using Run Charts 97

Stratification with Run Charts 113

Using the Cumulative Sum Statistic with Run Charts 116

Summary120 Key Terms 121

Chapter 4 Learning from Variation in Data 123

The Concept of Variation 123

Introduction to Shewhart Charts 129

Depicting and Interpreting Variation Using Shewhart Charts 135

The Role of Annotation with Shewhart Charts 140

Establishing Limits for Shewhart Charts 141

Revising Limits for Shewhart Charts 145

Stratification with Shewhart Charts 147

Shewhart Charts and Targets, Goals, or Other Specifications 152

Special Cause: Is It Good or Bad? 155

Summary157 Key Terms 158

Chapter 5 Understanding Variation Using Shewhart Charts 159

Selecting the Type of Shewhart Chart 160

Shewhart Charts for Continuous Data 163

I Charts 164

Examples of Shewhart Charts for Individual Measurements 166

Rational Ordering with an I Chart 168

Example of I Chart for Deviations from a Target 170

Xbar S Shewhart Charts 171

Shewhart Charts for Attribute Data 177

Subgroup Size for Attribute Charts 178

The P Chart for Classification Data 180

Examples of P Charts 182

Creation of Funnel Limits for a P Chart 186

Shewhart Charts for Counts of Nonconformities 188

c charts 190

U Chart 192

Creation of Funnel Limits for a U Chart 195

Alternatives for Attribute Charts for Rare Events 197

G Chart for Opportunities Between Rare Events 198

T Chart for Time Between Rare Events 202

Process Capability 206

Process Capability from an I Chart 208

Capability of a Process from Xbar and S Charts 208

Capability of a Process from Attribute Control Charts 210

Capability from a P Chart 210

Capability from a C or U Chart 210

Summary211 Key Terms 212

Appendix 5.1 Calculating Shewhart Limits 213

I Chart (For Individual Values Of Continuous Data) 213

Xbar S Chart (For Continuous Data In Subgroups) 214

P Chart (For Classification Data) 217

c chart (count Of Incidences) 218

U Chart (Incidences Per Area Of Opportunity) 219

G Chart (Cases Between Incidences) 220

T Chart 221

Chapter 6 Additional Tools For Understanding Variation In Data 223

Depicting Variation 223

Additional Tools for Learning from Variation 225

Frequency Plots 225

Frequency Plot Construction 226

Frequency Plots Used with Shewhart Charts 228

Frequency Plots and Stratification 232

Pareto Charts 236

Pareto Chart Construction 238

Pareto Charts Used with Shewhart Charts 239

Pareto Chart and Stratification 244

Scatterplots250 Scatterplot Construction 251

Scatterplots Used with Shewhart Charts 254

Scatterplots and Stratification 258

Radar Charts 260

Constructing a Radar Chart 261

Radar Charts Used with Shewhart Charts 261

Radar Charts and Stratification 263

Summary265 Key Terms 265

Chapter 7 Shewhart Chart Savvy: Dealing with Common Issues 267

Creating Effective Shewhart Charts 267

Tip 1: Type of Data and Subgroup Size 267

Tip 2: Rounding Data 268

Tip 3: Formatting Charts 268

Tip 4. Decisions for Recalculating limits, or Rephasing, on a Shewhart Chart 274

Extending Centerline and Limits Backward 277

Typical Problems with Software for Calculating Shewhart Charts 279

Characteristics to Consider When Purchasing SPC Software 282

Another Caution with I Charts and Chart Selection 285

Guidelines for Shewhart Charts in Research Studies and Publications 287

Use of Shewhart Charts in Research Studies 288

Shewhart Charts in Publications 290

Shewhart’s Theory versus Statistical Inference 292

Summary296 Key Terms 296

Part II Advanced Theory and Methods with Data For Improvement 297

Chapter 8 More Shewhart-Type Charts 299

Other Shewhart-Type Charts 301

The NP Chart 301

Xbar Range (Xbar R) Chart 302

Median Chart 304

Attribute Charts with Large Subgroup Sizes (P’ and U’) 306

Prime Charts (P’ and U’) 307

Negative Binomial Chart 313

Some Adaptations to Shewhart Charts 316

MA Chart 317

CUSUM Chart 320

Exponentially Weighted Moving Average (EWMA) Chart 328

Standardized Shewhart Charts 331

Multivariate Shewhart-Type Charts 334

Summary338 Key Terms 339

Chapter 9 Special Uses for Shewhart Charts 341

Shewhart Charts with a Changing Centerline 341

Shewhart Charts with a Sloping Centerline 342

Shewhart Charts with Seasonal Effects 344

Adjusting Shewhart Charts for Confounders 349

Transformation of Data with Shewhart Charts 355

Shewhart Charts for Autocorrelated Data 361

Risk-Adjusted or Case-Mix Adjusted Shewhart Charts 366

Comparison Charts 368

Confidence Intervals and Confidence Limits 369

Summary373 Key Terms 373

Chapter 10 Drilling Down Into Aggregate Data for Improvement Ii 375

What are Aggregate Data? 375

What is the Challenge Presented by Aggregate Data? 376

Introduction to the Drill Down Pathway 381

Stratification 381

Sequencing 382 Rational Subgrouping 383

An Illustration of the Drill Down Pathway: Adverse Drug Events384 Drill Down Pathway Step One 385

Drill Down Pathway Step Two 385

Drill Down Pathway Step Three 387

Drill Down Pathway Step Three, Continued 389

Drill Down Pathway Step Four 393

Drill Down Pathway Step Five 397

Drill Down Pathway Step Six 400

Summary400 Key Terms 401

Part III Applications of Shewhart Charts in Health Care 403

Chapter 11 Learning from Individual Patient Data 405

Examples of Shewhart Charts for Individual Patients 407

Example 1: Asthma Patient Use of Shewhart Charts 408

Example 2: Prostate-Specific Antigen (PSA) Screening for Prostate Cancer 409

Example 3: Monitoring Patient Measures in the Hospital 411

Example 4: Bone Density for a Patient Diagnosed with Osteoporosis 412

Example 5: Temperature Readings for a Hospitalized Patient 415

Example 6: Shewhart Charts for Continuous Monitoring of Patients 418

Example 7: Monitoring Weight 420

Example 8: Monitoring Blood Sugar Control for Patients with Diabetes 421

Example 9: Using Shewhart Charts in Pain Management 422

Summary423

Chapter 12 Learning from Patient Feedback to Improve Care 425

Summarizing Patient Feedback Data 429

Presentation of Patient Satisfaction Data 437

Using Patient Feedback for Improvement 438

The PDSA Cycle for Testing and Implementing Changes 438

Improvement Team Working on Clinic Satisfaction 438

Improvement Team Working on Pain 442

Feedback from Employees 444

Using Patient Satisfaction Data in Planning for Improvement 445

Special Issues with Patient Feedback Data 447

Are There Challenges When Summarizing and Using Patient Satisfaction Survey Data? 447

Does Survey Scale Matter? 449

Summary450 Key Terms 450

Chapter 13 Using Shewhart Charts in Health Care Leadership 451

A Health Care Organization’s Vector of Measures 452

Developing a VOM 453

So How do We Best Display a VOM? 461

Administrative Issues with a VOM 464

Some Examples of Measures for Other VOMs 467

Emergency Department 468

Primary Care Center 468

System Flow Measures 469

Health Authority 469

Large Urban Hospital 471

IHI Whole System Measures 471

Summary473 Key Terms 474

Chapter 14 Shewhart Charts for Epidemic Data 475

Shewhart Charts in Epidemiology 476

Development of Shewhart Charts for Epidemic Data 479

c charts (Epoch 1) 479

Charts of Epoch 2 481

Charts for Epoch 3 485

Charts for Epoch 4 486

Some Issues with the Hybrid Chart for COVID-19 Deaths 487

Data Quality 487

Day-of-the-Week Adjustment 487

Application of the Hybrid Charts to Cases, Hospitalizations, and Intensive Care Unit Admissions 489

Summary492 Key Term 492

Chapter 15 Case Studies 493

Case Study A: Improving Access to a Specialty Care Clinic 495

Case Study B: Radiology Improvement Projects 504

Case Study C: Reducing Post-Cabg Infections 514

Case Study D: Drilling Down into Percentage of C-Sections 526

Case Study E: Reducing Length of Stay After Surgery 537

Case Study F: Reducing Hospital admissions 551

Case Study G: Accidental Puncture/Laceration Rate 558

Case Study H: Improving Telemedicine Failed Calls and No Shows 568

Case Study I: Variation in Financial Data 583

Index 595

Shewhart Chart Selection Guide 609

The Health Care Data Guide

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    Order before 4pm today for delivery by Mon 13 Jul 2026.

    A Paperback / softback by Lloyd P. Provost, Sandra K. Murray

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      View other formats and editions of The Health Care Data Guide by Lloyd P. Provost

      Publisher: John Wiley & Sons Inc
      Publication Date: 08/08/2022
      ISBN13: 9781119690139, 978-1119690139
      ISBN10: 1119690137

      Description

      Book Synopsis


      Table of Contents

      Figures, Tables, and Exhibits xiii

      Preface xxix

      Acknowledgments xxxiii

      The Authors xxxv

      About the Companion Website xxxvii

      Part I Using Data for Improvement 1

      Chapter 1 Improvement Methodology 3

      Fundamental Questions for Improvement 4

      What Are We Trying to Accomplish? 5

      How Will We Know that a Change is an Improvement? 7

      What Changes Can We Make That Will Result in Improvement? 8

      The PDSA Cycle for Improvement 9

      Tools and Methods to Support the Model for Improvement 13

      Designing PDSA Cycles for Testing Changes 15

      Analysis of Data from PDSA Cycles 19

      Summary26 Key Terms 26

      Chapter 2 Using Data for Improvement 27

      What Does the Concept of Data Mean? 27

      How are Data Used? 29

      Types of Data 36

      Using A Family of Measures 43

      The Importance of Operational Definitions 47

      Data for Different Types of Studies 51

      Sampling53 Sampling Strategies 55

      What About Sample Size? 58

      Stratification of Data 61

      What about Case-Mix Adjustment? 63

      Transforming Data 65

      Analysis and Presentation of Data 68

      Summary75 Key Terms 75

      Chapter 3 Understanding Variation Using Run Charts 77

      Introduction77 What Is a Run Chart? 77

      Use of a Run Chart 80

      Constructing a Run Chart 80

      Examples of Run Charts for Improvement Projects 84

      Rules to Aid in Interpreting Run Charts 89

      Special Issues in Using Run Charts 97

      Stratification with Run Charts 113

      Using the Cumulative Sum Statistic with Run Charts 116

      Summary120 Key Terms 121

      Chapter 4 Learning from Variation in Data 123

      The Concept of Variation 123

      Introduction to Shewhart Charts 129

      Depicting and Interpreting Variation Using Shewhart Charts 135

      The Role of Annotation with Shewhart Charts 140

      Establishing Limits for Shewhart Charts 141

      Revising Limits for Shewhart Charts 145

      Stratification with Shewhart Charts 147

      Shewhart Charts and Targets, Goals, or Other Specifications 152

      Special Cause: Is It Good or Bad? 155

      Summary157 Key Terms 158

      Chapter 5 Understanding Variation Using Shewhart Charts 159

      Selecting the Type of Shewhart Chart 160

      Shewhart Charts for Continuous Data 163

      I Charts 164

      Examples of Shewhart Charts for Individual Measurements 166

      Rational Ordering with an I Chart 168

      Example of I Chart for Deviations from a Target 170

      Xbar S Shewhart Charts 171

      Shewhart Charts for Attribute Data 177

      Subgroup Size for Attribute Charts 178

      The P Chart for Classification Data 180

      Examples of P Charts 182

      Creation of Funnel Limits for a P Chart 186

      Shewhart Charts for Counts of Nonconformities 188

      c charts 190

      U Chart 192

      Creation of Funnel Limits for a U Chart 195

      Alternatives for Attribute Charts for Rare Events 197

      G Chart for Opportunities Between Rare Events 198

      T Chart for Time Between Rare Events 202

      Process Capability 206

      Process Capability from an I Chart 208

      Capability of a Process from Xbar and S Charts 208

      Capability of a Process from Attribute Control Charts 210

      Capability from a P Chart 210

      Capability from a C or U Chart 210

      Summary211 Key Terms 212

      Appendix 5.1 Calculating Shewhart Limits 213

      I Chart (For Individual Values Of Continuous Data) 213

      Xbar S Chart (For Continuous Data In Subgroups) 214

      P Chart (For Classification Data) 217

      c chart (count Of Incidences) 218

      U Chart (Incidences Per Area Of Opportunity) 219

      G Chart (Cases Between Incidences) 220

      T Chart 221

      Chapter 6 Additional Tools For Understanding Variation In Data 223

      Depicting Variation 223

      Additional Tools for Learning from Variation 225

      Frequency Plots 225

      Frequency Plot Construction 226

      Frequency Plots Used with Shewhart Charts 228

      Frequency Plots and Stratification 232

      Pareto Charts 236

      Pareto Chart Construction 238

      Pareto Charts Used with Shewhart Charts 239

      Pareto Chart and Stratification 244

      Scatterplots250 Scatterplot Construction 251

      Scatterplots Used with Shewhart Charts 254

      Scatterplots and Stratification 258

      Radar Charts 260

      Constructing a Radar Chart 261

      Radar Charts Used with Shewhart Charts 261

      Radar Charts and Stratification 263

      Summary265 Key Terms 265

      Chapter 7 Shewhart Chart Savvy: Dealing with Common Issues 267

      Creating Effective Shewhart Charts 267

      Tip 1: Type of Data and Subgroup Size 267

      Tip 2: Rounding Data 268

      Tip 3: Formatting Charts 268

      Tip 4. Decisions for Recalculating limits, or Rephasing, on a Shewhart Chart 274

      Extending Centerline and Limits Backward 277

      Typical Problems with Software for Calculating Shewhart Charts 279

      Characteristics to Consider When Purchasing SPC Software 282

      Another Caution with I Charts and Chart Selection 285

      Guidelines for Shewhart Charts in Research Studies and Publications 287

      Use of Shewhart Charts in Research Studies 288

      Shewhart Charts in Publications 290

      Shewhart’s Theory versus Statistical Inference 292

      Summary296 Key Terms 296

      Part II Advanced Theory and Methods with Data For Improvement 297

      Chapter 8 More Shewhart-Type Charts 299

      Other Shewhart-Type Charts 301

      The NP Chart 301

      Xbar Range (Xbar R) Chart 302

      Median Chart 304

      Attribute Charts with Large Subgroup Sizes (P’ and U’) 306

      Prime Charts (P’ and U’) 307

      Negative Binomial Chart 313

      Some Adaptations to Shewhart Charts 316

      MA Chart 317

      CUSUM Chart 320

      Exponentially Weighted Moving Average (EWMA) Chart 328

      Standardized Shewhart Charts 331

      Multivariate Shewhart-Type Charts 334

      Summary338 Key Terms 339

      Chapter 9 Special Uses for Shewhart Charts 341

      Shewhart Charts with a Changing Centerline 341

      Shewhart Charts with a Sloping Centerline 342

      Shewhart Charts with Seasonal Effects 344

      Adjusting Shewhart Charts for Confounders 349

      Transformation of Data with Shewhart Charts 355

      Shewhart Charts for Autocorrelated Data 361

      Risk-Adjusted or Case-Mix Adjusted Shewhart Charts 366

      Comparison Charts 368

      Confidence Intervals and Confidence Limits 369

      Summary373 Key Terms 373

      Chapter 10 Drilling Down Into Aggregate Data for Improvement Ii 375

      What are Aggregate Data? 375

      What is the Challenge Presented by Aggregate Data? 376

      Introduction to the Drill Down Pathway 381

      Stratification 381

      Sequencing 382 Rational Subgrouping 383

      An Illustration of the Drill Down Pathway: Adverse Drug Events384 Drill Down Pathway Step One 385

      Drill Down Pathway Step Two 385

      Drill Down Pathway Step Three 387

      Drill Down Pathway Step Three, Continued 389

      Drill Down Pathway Step Four 393

      Drill Down Pathway Step Five 397

      Drill Down Pathway Step Six 400

      Summary400 Key Terms 401

      Part III Applications of Shewhart Charts in Health Care 403

      Chapter 11 Learning from Individual Patient Data 405

      Examples of Shewhart Charts for Individual Patients 407

      Example 1: Asthma Patient Use of Shewhart Charts 408

      Example 2: Prostate-Specific Antigen (PSA) Screening for Prostate Cancer 409

      Example 3: Monitoring Patient Measures in the Hospital 411

      Example 4: Bone Density for a Patient Diagnosed with Osteoporosis 412

      Example 5: Temperature Readings for a Hospitalized Patient 415

      Example 6: Shewhart Charts for Continuous Monitoring of Patients 418

      Example 7: Monitoring Weight 420

      Example 8: Monitoring Blood Sugar Control for Patients with Diabetes 421

      Example 9: Using Shewhart Charts in Pain Management 422

      Summary423

      Chapter 12 Learning from Patient Feedback to Improve Care 425

      Summarizing Patient Feedback Data 429

      Presentation of Patient Satisfaction Data 437

      Using Patient Feedback for Improvement 438

      The PDSA Cycle for Testing and Implementing Changes 438

      Improvement Team Working on Clinic Satisfaction 438

      Improvement Team Working on Pain 442

      Feedback from Employees 444

      Using Patient Satisfaction Data in Planning for Improvement 445

      Special Issues with Patient Feedback Data 447

      Are There Challenges When Summarizing and Using Patient Satisfaction Survey Data? 447

      Does Survey Scale Matter? 449

      Summary450 Key Terms 450

      Chapter 13 Using Shewhart Charts in Health Care Leadership 451

      A Health Care Organization’s Vector of Measures 452

      Developing a VOM 453

      So How do We Best Display a VOM? 461

      Administrative Issues with a VOM 464

      Some Examples of Measures for Other VOMs 467

      Emergency Department 468

      Primary Care Center 468

      System Flow Measures 469

      Health Authority 469

      Large Urban Hospital 471

      IHI Whole System Measures 471

      Summary473 Key Terms 474

      Chapter 14 Shewhart Charts for Epidemic Data 475

      Shewhart Charts in Epidemiology 476

      Development of Shewhart Charts for Epidemic Data 479

      c charts (Epoch 1) 479

      Charts of Epoch 2 481

      Charts for Epoch 3 485

      Charts for Epoch 4 486

      Some Issues with the Hybrid Chart for COVID-19 Deaths 487

      Data Quality 487

      Day-of-the-Week Adjustment 487

      Application of the Hybrid Charts to Cases, Hospitalizations, and Intensive Care Unit Admissions 489

      Summary492 Key Term 492

      Chapter 15 Case Studies 493

      Case Study A: Improving Access to a Specialty Care Clinic 495

      Case Study B: Radiology Improvement Projects 504

      Case Study C: Reducing Post-Cabg Infections 514

      Case Study D: Drilling Down into Percentage of C-Sections 526

      Case Study E: Reducing Length of Stay After Surgery 537

      Case Study F: Reducing Hospital admissions 551

      Case Study G: Accidental Puncture/Laceration Rate 558

      Case Study H: Improving Telemedicine Failed Calls and No Shows 568

      Case Study I: Variation in Financial Data 583

      Index 595

      Shewhart Chart Selection Guide 609

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