Produktbild: The Health Care Data Guide

The Health Care Data Guide Learning from Data for Improvement

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.06.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

656

Maße (L/B/H)

27,1/21,6/3,5 cm

Gewicht

1464 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-1-119-69013-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.06.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

656

Maße (L/B/H)

27,1/21,6/3,5 cm

Gewicht

1464 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-1-119-69013-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: The Health Care Data Guide
  • 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