{"product_id":"the-health-care-data-guide-isbn-9781119690139","title":"The Health Care Data Guide","description":"\u003cp\u003e\u003cb\u003eAn Essential text on transforming raw data into concrete health care improvements \u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003eNow in its second edition, \u003ci\u003eThe Health Care Data Guide: Learning from Data for Improvement\u003c\/i\u003e delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a team of distinguished authors explores how health care practitioners, researchers, and other professionals can confidently plan and implement health care enhancements and changes, all while ensuring those changes actually constitute an improvement. \u003cbr\u003e\u003cbr\u003eThis book is the perfect companion resource to \u003ci\u003eThe Improvement Guide: A Practical Approach to Enhancing Organizational Peformance, Second Edition\u003c\/i\u003e, and offers fulsome discussions of how to use data to test, adapt, implement, and scale positive organizational change. \u003cbr\u003e\u003cbr\u003e\u003ci\u003eThe Health Care Data Guide: Learning from Data for Improvement, Second Edition\u003c\/i\u003e provides: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eEasy to use strategies for learning more readily from existing health care data \u003c\/li\u003e \u003cli\u003eClear guidance on the most useful graph for different types of data used in health care \u003c\/li\u003e \u003cli\u003eA step-by-step method for making use of highly aggregated data for improvement \u003c\/li\u003e \u003cli\u003eExamples of using patient-level data in care \u003c\/li\u003e \u003cli\u003eMultiple methods for making use of patient and other feedback data \u003c\/li\u003e \u003cli\u003eA vastly better way to view data for executive leadership \u003c\/li\u003e \u003cli\u003eSolutions for working with rare events data, seasonality and other pesky issues\u003c\/li\u003e \u003cli\u003eUse of improvement methods with epidemic data \u003c\/li\u003e \u003cli\u003eImprovement case studies using data for learning \u003c\/li\u003e \u003c\/ul\u003e A must read resource for those committed to improving health care including allied health professionals in all aspects of health care, physicians, managers, health care leaders, and researchers.  \u003cp\u003eFigures, Tables, and Exhibits xiii\u003c\/p\u003e \u003cp\u003ePreface xxix\u003c\/p\u003e \u003cp\u003eAcknowledgments xxxiii\u003c\/p\u003e \u003cp\u003eThe Authors xxxv\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xxxvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Using Data for Improvement 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Improvement Methodology 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFundamental Questions for Improvement 4\u003c\/p\u003e \u003cp\u003eWhat Are We Trying to Accomplish? 5\u003c\/p\u003e \u003cp\u003eHow Will We Know that a Change is an Improvement? 7\u003c\/p\u003e \u003cp\u003eWhat Changes Can We Make That Will Result in Improvement? 8\u003c\/p\u003e \u003cp\u003eThe PDSA Cycle for Improvement 9\u003c\/p\u003e \u003cp\u003eTools and Methods to Support the Model for Improvement 13\u003c\/p\u003e \u003cp\u003eDesigning PDSA Cycles for Testing Changes 15\u003c\/p\u003e \u003cp\u003eAnalysis of Data from PDSA Cycles 19\u003c\/p\u003e \u003cp\u003eSummary26 Key Terms 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Using Data for Improvement 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Does the Concept of Data Mean? 27\u003c\/p\u003e \u003cp\u003eHow are Data Used? 29\u003c\/p\u003e \u003cp\u003eTypes of Data 36\u003c\/p\u003e \u003cp\u003eUsing A Family of Measures 43\u003c\/p\u003e \u003cp\u003eThe Importance of Operational Definitions 47\u003c\/p\u003e \u003cp\u003eData for Different Types of Studies 51\u003c\/p\u003e \u003cp\u003eSampling53 Sampling Strategies 55\u003c\/p\u003e \u003cp\u003eWhat About Sample Size? 58\u003c\/p\u003e \u003cp\u003eStratification of Data 61\u003c\/p\u003e \u003cp\u003eWhat about Case-Mix Adjustment? 63\u003c\/p\u003e \u003cp\u003eTransforming Data 65\u003c\/p\u003e \u003cp\u003eAnalysis and Presentation of Data 68\u003c\/p\u003e \u003cp\u003eSummary75 Key Terms 75\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Understanding Variation Using Run Charts 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction77 What Is a Run Chart? 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUse of a Run Chart 80\u003c\/p\u003e \u003cp\u003eConstructing a Run Chart 80\u003c\/p\u003e \u003cp\u003eExamples of Run Charts for Improvement Projects 84\u003c\/p\u003e \u003cp\u003eRules to Aid in Interpreting Run Charts 89\u003c\/p\u003e \u003cp\u003eSpecial Issues in Using Run Charts 97\u003c\/p\u003e \u003cp\u003eStratification with Run Charts 113\u003c\/p\u003e \u003cp\u003eUsing the Cumulative Sum Statistic with Run Charts 116\u003c\/p\u003e \u003cp\u003eSummary120 Key Terms 121\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Learning from Variation in Data 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Concept of Variation 123\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction to Shewhart Charts 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDepicting and Interpreting Variation Using Shewhart Charts 135\u003c\/p\u003e \u003cp\u003eThe Role of Annotation with Shewhart Charts 140\u003c\/p\u003e \u003cp\u003eEstablishing Limits for Shewhart Charts 141\u003c\/p\u003e \u003cp\u003eRevising Limits for Shewhart Charts 145\u003c\/p\u003e \u003cp\u003eStratification with Shewhart Charts 147\u003c\/p\u003e \u003cp\u003eShewhart Charts and Targets, Goals, or Other Specifications 152\u003c\/p\u003e \u003cp\u003eSpecial Cause: Is It Good or Bad? 155\u003c\/p\u003e \u003cp\u003eSummary157 Key Terms 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Understanding Variation Using Shewhart Charts 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSelecting the Type of Shewhart Chart 160\u003c\/p\u003e \u003cp\u003eShewhart Charts for Continuous Data 163\u003c\/p\u003e \u003cp\u003eI Charts 164\u003c\/p\u003e \u003cp\u003eExamples of Shewhart Charts for Individual Measurements 166\u003c\/p\u003e \u003cp\u003eRational Ordering with an I Chart 168\u003c\/p\u003e \u003cp\u003eExample of I Chart for Deviations from a Target 170\u003c\/p\u003e \u003cp\u003eXbar S Shewhart Charts 171\u003c\/p\u003e \u003cp\u003eShewhart Charts for Attribute Data 177\u003c\/p\u003e \u003cp\u003eSubgroup Size for Attribute Charts 178\u003c\/p\u003e \u003cp\u003eThe P Chart for Classification Data 180\u003c\/p\u003e \u003cp\u003eExamples of P Charts 182\u003c\/p\u003e \u003cp\u003eCreation of Funnel Limits for a P Chart 186\u003c\/p\u003e \u003cp\u003eShewhart Charts for Counts of Nonconformities 188\u003c\/p\u003e \u003cp\u003ec charts 190\u003c\/p\u003e \u003cp\u003eU Chart 192\u003c\/p\u003e \u003cp\u003eCreation of Funnel Limits for a U Chart 195\u003c\/p\u003e \u003cp\u003eAlternatives for Attribute Charts for Rare Events 197\u003c\/p\u003e \u003cp\u003eG Chart for Opportunities Between Rare Events 198\u003c\/p\u003e \u003cp\u003eT Chart for Time Between Rare Events 202\u003c\/p\u003e \u003cp\u003eProcess Capability 206\u003c\/p\u003e \u003cp\u003eProcess Capability from an I Chart 208\u003c\/p\u003e \u003cp\u003eCapability of a Process from Xbar and S Charts 208\u003c\/p\u003e \u003cp\u003eCapability of a Process from Attribute Control Charts 210\u003c\/p\u003e \u003cp\u003eCapability from a P Chart 210\u003c\/p\u003e \u003cp\u003eCapability from a C or U Chart 210\u003c\/p\u003e \u003cp\u003eSummary211 Key Terms 212\u003c\/p\u003e \u003cp\u003eAppendix 5.1 Calculating Shewhart Limits 213\u003c\/p\u003e \u003cp\u003eI Chart (For Individual Values Of Continuous Data) 213\u003c\/p\u003e \u003cp\u003eXbar S Chart (For Continuous Data In Subgroups) 214\u003c\/p\u003e \u003cp\u003eP Chart (For Classification Data) 217\u003c\/p\u003e \u003cp\u003ec chart (count Of Incidences) 218\u003c\/p\u003e \u003cp\u003eU Chart (Incidences Per Area Of Opportunity) 219\u003c\/p\u003e \u003cp\u003eG Chart (Cases Between Incidences) 220\u003c\/p\u003e \u003cp\u003eT Chart 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Additional Tools For Understanding Variation In Data 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDepicting Variation 223\u003c\/p\u003e \u003cp\u003eAdditional Tools for Learning from Variation 225\u003c\/p\u003e \u003cp\u003eFrequency Plots 225\u003c\/p\u003e \u003cp\u003eFrequency Plot Construction 226\u003c\/p\u003e \u003cp\u003eFrequency Plots Used with Shewhart Charts 228\u003c\/p\u003e \u003cp\u003eFrequency Plots and Stratification 232\u003c\/p\u003e \u003cp\u003ePareto Charts 236\u003c\/p\u003e \u003cp\u003ePareto Chart Construction 238\u003c\/p\u003e \u003cp\u003ePareto Charts Used with Shewhart Charts 239\u003c\/p\u003e \u003cp\u003ePareto Chart and Stratification 244\u003c\/p\u003e \u003cp\u003eScatterplots250 Scatterplot Construction 251\u003c\/p\u003e \u003cp\u003eScatterplots Used with Shewhart Charts 254\u003c\/p\u003e \u003cp\u003eScatterplots and Stratification 258\u003c\/p\u003e \u003cp\u003eRadar Charts 260\u003c\/p\u003e \u003cp\u003eConstructing a Radar Chart 261\u003c\/p\u003e \u003cp\u003eRadar Charts Used with Shewhart Charts 261\u003c\/p\u003e \u003cp\u003eRadar Charts and Stratification 263\u003c\/p\u003e \u003cp\u003eSummary265 Key Terms 265\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Shewhart Chart Savvy: Dealing with Common Issues 267\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCreating Effective Shewhart Charts 267\u003c\/p\u003e \u003cp\u003eTip 1: Type of Data and Subgroup Size 267\u003c\/p\u003e \u003cp\u003eTip 2: Rounding Data 268\u003c\/p\u003e \u003cp\u003eTip 3: Formatting Charts 268\u003c\/p\u003e \u003cp\u003eTip 4. Decisions for Recalculating limits, or Rephasing, on a Shewhart Chart 274\u003c\/p\u003e \u003cp\u003eExtending Centerline and Limits Backward 277\u003c\/p\u003e \u003cp\u003eTypical Problems with Software for Calculating Shewhart Charts 279\u003c\/p\u003e \u003cp\u003eCharacteristics to Consider When Purchasing SPC Software 282\u003c\/p\u003e \u003cp\u003eAnother Caution with I Charts and Chart Selection 285\u003c\/p\u003e \u003cp\u003eGuidelines for Shewhart Charts in Research Studies and Publications 287\u003c\/p\u003e \u003cp\u003eUse of Shewhart Charts in Research Studies 288\u003c\/p\u003e \u003cp\u003eShewhart Charts in Publications 290\u003c\/p\u003e \u003cp\u003eShewhart’s Theory versus Statistical Inference 292\u003c\/p\u003e \u003cp\u003eSummary296 Key Terms 296\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Advanced Theory and Methods with Data For Improvement 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 More Shewhart-Type Charts 299\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOther Shewhart-Type Charts 301\u003c\/p\u003e \u003cp\u003eThe NP Chart 301\u003c\/p\u003e \u003cp\u003eXbar Range (Xbar R) Chart 302\u003c\/p\u003e \u003cp\u003eMedian Chart 304\u003c\/p\u003e \u003cp\u003eAttribute Charts with Large Subgroup Sizes (P’ and U’) 306\u003c\/p\u003e \u003cp\u003ePrime Charts (P’ and U’) 307\u003c\/p\u003e \u003cp\u003eNegative Binomial Chart 313\u003c\/p\u003e \u003cp\u003eSome Adaptations to Shewhart Charts 316\u003c\/p\u003e \u003cp\u003eMA Chart 317\u003c\/p\u003e \u003cp\u003eCUSUM Chart 320\u003c\/p\u003e \u003cp\u003eExponentially Weighted Moving Average (EWMA) Chart 328\u003c\/p\u003e \u003cp\u003eStandardized Shewhart Charts 331\u003c\/p\u003e \u003cp\u003eMultivariate Shewhart-Type Charts 334\u003c\/p\u003e \u003cp\u003eSummary338 Key Terms 339\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Special Uses for Shewhart Charts 341\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eShewhart Charts with a Changing Centerline 341\u003c\/p\u003e \u003cp\u003eShewhart Charts with a Sloping Centerline 342\u003c\/p\u003e \u003cp\u003eShewhart Charts with Seasonal Effects 344\u003c\/p\u003e \u003cp\u003eAdjusting Shewhart Charts for Confounders 349\u003c\/p\u003e \u003cp\u003eTransformation of Data with Shewhart Charts 355\u003c\/p\u003e \u003cp\u003eShewhart Charts for Autocorrelated Data 361\u003c\/p\u003e \u003cp\u003eRisk-Adjusted or Case-Mix Adjusted Shewhart Charts 366\u003c\/p\u003e \u003cp\u003eComparison Charts 368\u003c\/p\u003e \u003cp\u003eConfidence Intervals and Confidence Limits 369\u003c\/p\u003e \u003cp\u003eSummary373 Key Terms 373\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Drilling Down Into Aggregate Data for Improvement Ii 375\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat are Aggregate Data? 375\u003c\/p\u003e \u003cp\u003eWhat is the Challenge Presented by Aggregate Data? 376\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction to the Drill Down Pathway 381\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStratification 381\u003c\/p\u003e \u003cp\u003eSequencing 382 Rational Subgrouping 383\u003c\/p\u003e \u003cp\u003eAn Illustration of the Drill Down Pathway: Adverse Drug Events384 Drill Down Pathway Step One 385\u003c\/p\u003e \u003cp\u003eDrill Down Pathway Step Two 385\u003c\/p\u003e \u003cp\u003eDrill Down Pathway Step Three 387\u003c\/p\u003e \u003cp\u003eDrill Down Pathway Step Three, Continued 389\u003c\/p\u003e \u003cp\u003eDrill Down Pathway Step Four 393\u003c\/p\u003e \u003cp\u003eDrill Down Pathway Step Five 397\u003c\/p\u003e \u003cp\u003eDrill Down Pathway Step Six 400\u003c\/p\u003e \u003cp\u003eSummary400 Key Terms 401\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Applications of Shewhart Charts in Health Care 403\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Learning from Individual Patient Data 405\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExamples of Shewhart Charts for Individual Patients 407\u003c\/p\u003e \u003cp\u003eExample 1: Asthma Patient Use of Shewhart Charts 408\u003c\/p\u003e \u003cp\u003eExample 2: Prostate-Specific Antigen (PSA) Screening for Prostate Cancer 409\u003c\/p\u003e \u003cp\u003eExample 3: Monitoring Patient Measures in the Hospital 411\u003c\/p\u003e \u003cp\u003eExample 4: Bone Density for a Patient Diagnosed with Osteoporosis 412\u003c\/p\u003e \u003cp\u003eExample 5: Temperature Readings for a Hospitalized Patient 415\u003c\/p\u003e \u003cp\u003eExample 6: Shewhart Charts for Continuous Monitoring of Patients 418\u003c\/p\u003e \u003cp\u003eExample 7: Monitoring Weight 420\u003c\/p\u003e \u003cp\u003eExample 8: Monitoring Blood Sugar Control for Patients with Diabetes 421\u003c\/p\u003e \u003cp\u003eExample 9: Using Shewhart Charts in Pain Management 422\u003c\/p\u003e \u003cp\u003eSummary423\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Learning from Patient Feedback to Improve Care 425\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSummarizing Patient Feedback Data 429\u003c\/p\u003e \u003cp\u003ePresentation of Patient Satisfaction Data 437\u003c\/p\u003e \u003cp\u003eUsing Patient Feedback for Improvement 438\u003c\/p\u003e \u003cp\u003eThe PDSA Cycle for Testing and Implementing Changes 438\u003c\/p\u003e \u003cp\u003eImprovement Team Working on Clinic Satisfaction 438\u003c\/p\u003e \u003cp\u003eImprovement Team Working on Pain 442\u003c\/p\u003e \u003cp\u003eFeedback from Employees 444\u003c\/p\u003e \u003cp\u003eUsing Patient Satisfaction Data in Planning for Improvement 445\u003c\/p\u003e \u003cp\u003eSpecial Issues with Patient Feedback Data 447\u003c\/p\u003e \u003cp\u003eAre There Challenges When Summarizing and Using Patient Satisfaction Survey Data? 447\u003c\/p\u003e \u003cp\u003eDoes Survey Scale Matter? 449\u003c\/p\u003e \u003cp\u003eSummary450 Key Terms 450\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Using Shewhart Charts in Health Care Leadership 451\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Health Care Organization’s Vector of Measures 452\u003c\/p\u003e \u003cp\u003eDeveloping a VOM 453\u003c\/p\u003e \u003cp\u003eSo How do We Best Display a VOM? 461\u003c\/p\u003e \u003cp\u003eAdministrative Issues with a VOM 464\u003c\/p\u003e \u003cp\u003eSome Examples of Measures for Other VOMs 467\u003c\/p\u003e \u003cp\u003eEmergency Department 468\u003c\/p\u003e \u003cp\u003ePrimary Care Center 468\u003c\/p\u003e \u003cp\u003eSystem Flow Measures 469\u003c\/p\u003e \u003cp\u003eHealth Authority 469\u003c\/p\u003e \u003cp\u003eLarge Urban Hospital 471\u003c\/p\u003e \u003cp\u003eIHI Whole System Measures 471\u003c\/p\u003e \u003cp\u003eSummary473 Key Terms 474\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Shewhart Charts for Epidemic Data 475\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eShewhart Charts in Epidemiology 476\u003c\/p\u003e \u003cp\u003eDevelopment of Shewhart Charts for Epidemic Data 479\u003c\/p\u003e \u003cp\u003ec charts (Epoch 1) 479\u003c\/p\u003e \u003cp\u003eCharts of Epoch 2 481\u003c\/p\u003e \u003cp\u003eCharts for Epoch 3 485\u003c\/p\u003e \u003cp\u003eCharts for Epoch 4 486\u003c\/p\u003e \u003cp\u003eSome Issues with the Hybrid Chart for COVID-19 Deaths 487\u003c\/p\u003e \u003cp\u003eData Quality 487\u003c\/p\u003e \u003cp\u003eDay-of-the-Week Adjustment 487\u003c\/p\u003e \u003cp\u003eApplication of the Hybrid Charts to Cases, Hospitalizations, and Intensive Care Unit Admissions 489\u003c\/p\u003e \u003cp\u003eSummary492 Key Term 492\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 Case Studies 493\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase Study A: Improving Access to a Specialty Care Clinic 495\u003c\/p\u003e \u003cp\u003eCase Study B: Radiology Improvement Projects 504\u003c\/p\u003e \u003cp\u003eCase Study C: Reducing Post-Cabg Infections 514\u003c\/p\u003e \u003cp\u003eCase Study D: Drilling Down into Percentage of C-Sections 526\u003c\/p\u003e \u003cp\u003eCase Study E: Reducing Length of Stay After Surgery 537\u003c\/p\u003e \u003cp\u003eCase Study F: Reducing Hospital admissions 551\u003c\/p\u003e \u003cp\u003eCase Study G: Accidental Puncture\/Laceration Rate 558\u003c\/p\u003e \u003cp\u003eCase Study H: Improving Telemedicine Failed Calls and No Shows 568\u003c\/p\u003e \u003cp\u003eCase Study I: Variation in Financial Data 583\u003c\/p\u003e \u003cp\u003eIndex 595\u003c\/p\u003e \u003cp\u003eShewhart Chart Selection Guide 609\u003c\/p\u003e \u003cp\u003e\u003cb\u003eLLOYD P. PROVOST\u003c\/b\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSANDRA K. MURRAY \u003c\/b\u003eis 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 cohort of client organizations encompasses the spectrum of health care delivery.\u003c\/p\u003e","brand":"Jossey-Bass","offers":[{"title":"Default Title","offer_id":47990256304357,"sku":"NP9781119690139","price":103.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119690139.jpg?v=1761787088","url":"https:\/\/k12savings.com\/products\/the-health-care-data-guide-isbn-9781119690139","provider":"K12savings","version":"1.0","type":"link"}