Improving Health Care Quality - Case Studies with JMP

Improving Health Care Quality - Case Studies with JMP

John Wiley and Sons Ltd

06/2020

224

Dura

Inglês

9781119604617

15 a 20 dias

452

Descrição não disponível.
Foreword xv Preface xvii Acknowledgments xix Acronyms and Synonyms xxi About the Companion Website xxiii 1 Introduction 1 1.1 Key Concepts 1 1.2 Quality Improvement in Healthcare 1 1.3 Understanding Variability: The Key to QI 2 1.4 Quality Improvement Frameworks 3 1.4.1 Define-Measure-Analyze-Improve-Control (DMAIC) 4 1.4.2 Plan-Do-Check-Act (PDCA) 4 1.4.3 Choosing a Framework 5 1.5 Statistical Tools for Quality Improvement 6 1.5.1 Data Visualization 8 1.5.2 Subgrouping Data 8 1.5.3 Control Charts 9 1.5.4 The Importance of Assumptions 10 1.6 Using this Casebook 11 1.7 Summary 12 1.7.1 Exercises 13 1.7.2 Discussion Questions 14 References 14 2 Improving Patient Satisfaction 17 2.1 Key Concepts 17 2.2 DMAIC 17 2.3 PDCA 17 2.4 Background 17 2.5 The Task 18 2.6 The Data: ComplaintData.xlsx and PatientFeedback.jmp 18 2.7 Data Management 19 2.8 Analysis 20 2.8.1 Complaint Data 20 2.8.2 Patient Satisfaction Data 21 2.9 Summary 26 2.9.1 Statistical Insights 26 2.9.2 Implications and Next Steps 27 2.9.3 Summary of Tools and JMP Features 27 2.9.4 Exercises 27 2.9.5 Discussion Questions 28 Reference 29 3 Length of Stay and Readmission for Hospitalized Diabetes Patients 31 3.1 Key Concepts 31 3.2 DMAIC 31 3.3 PDCA 31 3.4 Background 31 3.5 The Task 32 3.6 The Data: HospitalReadmission.jmp 32 3.7 Data Management 32 3.8 Analysis 32 3.9 Summary 39 3.9.1 Statistical Insights 39 3.9.2 Implications and Next Steps 39 3.9.3 Summary of Tools and JMP Features 40 3.9.4 Exercises 40 3.9.5 Discussion Questions 41 4 Identify and Communicate Opportunities for Reducing Hospital Length of Stay Using JMP (R) Dashboards 43 4.1 Key Concepts 43 4.2 DMAIC 43 4.3 PDCA 43 4.4 Background 43 4.5 The Task 44 4.6 The Data: HospitalReadmission.jmp 44 4.7 Data Management 44 4.8 Analysis 44 4.8.1 Creating Dashboards with Combine Windows 44 4.8.2 Creating Dashboards with Dashboard Builder 45 4.8.3 Saving and Sharing JMP Dashboards 48 4.9 Summary 48 4.9.1 Statistical Insights 48 4.9.2 Implications and Next Steps 52 4.9.3 Summary of Tools and JMP Features 52 4.9.4 Exercises 53 4.9.5 Discussion Questions 53 References 53 5 Variability in the Cost of Hip Replacement 55 5.1 Key Concepts 55 5.2 DMAIC 55 5.3 PDCA 55 5.4 Background 55 5.5 The Task 56 5.6 The Data: SouthernTier_HipReplacement.csv 56 5.7 Data Management 56 5.7.1 Initial Data Review 57 5.7.2 Adjusting JMP Column Properties 58 5.7.3 Deleting Unneeded Columns 59 5.7.4 Shortening Character Columns 60 5.8 Analysis 61 5.8.1 Descriptive Analysis 62 5.8.2 Assessing Variability 63 5.9 Summary 67 5.9.1 Statistical Insights 67 5.9.2 Implications and Next Steps 67 5.9.3 Summary of Tools and JMP Features 68 5.9.4 Exercises 68 5.9.5 Discussion Questions 69 References 70 6 Benchmarking the Cost of Hip Replacement 71 6.1 Key Concepts 71 6.2 DMAIC 71 6.3 PDCA 71 6.4 Background 71 6.5 The Task 72 6.6 The Data: HipNYSPARCS_SouthernTier.jmp 72 6.7 Data Management 72 6.8 Analysis 73 6.8.1 Descriptive Analysis 73 6.8.2 Statistical Test of Hypothesis 73 6.8.3 Confidence Interval for Mean Total Cost 75 6.9 Summary 75 6.9.1 Statistical Insights 75 6.9.2 Implications and Next Steps 76 6.9.3 Summary of Tools and JMP Features 76 6.9.4 Exercises 76 6.9.5 Discussion Questions 77 References 78 7 Nursing Survey 79 7.1 Key Concepts 79 7.2 DMAIC 79 7.3 PDCA 79 7.4 Background 79 7.5 The Task 80 7.6 The Data: NursingResearch_Survey_Responses.jmp 80 7.7 Data Management 81 7.7.1 Initial Data Review 81 7.7.2 Recoding the Primary Role Column 83 7.8 Analysis 85 7.8.1 Descriptive Analysis 85 7.8.2 One-Sample Test of Proportion 87 7.8.3 Test for Difference of Two Proportions 88 7.9 Summary 90 7.9.1 Statistical Insights 90 7.9.2 Implications and Next Steps 90 7.9.3 Summary of Tools and JMP Features 91 7.9.4 Exercises 91 7.9.5 Discussion Questions 92 References 93 8 Determining the Sample Size for a Nursing Research Study 95 8.1 Key Concepts 95 8.2 DMAIC 95 8.3 PDCA 95 8.4 Background 95 8.5 The Task 96 8.6 The Data 96 8.7 Study Design and Data Collection Methodology 96 8.8 Analysis 97 8.8.1 Analysis Plan 97 8.8.2 The Basics of Sample Size Determination 98 8.8.3 Sample Size Determination for the Bee Sting Study 99 8.9 Summary 101 8.9.1 Statistical Insights 101 8.9.2 Implications and Next Steps 102 8.9.3 Summary of Tools and JMP Features 103 8.9.4 Exercises 104 8.9.5 Discussion Questions 104 References 105 9 Mapping California Ambulance Diversion 107 9.1 Key Concepts 107 9.2 DMAIC 107 9.3 PDCA 107 9.4 Background 107 9.5 The Task 108 9.6 The Data: ED_ambulance_diversion_trend.xlsx and CA_healthcare_facility_locations.xlsx 108 9.7 Data Management 108 9.7.1 Merging the Data Tables 109 9.7.2 Reviewing the Merged File 109 9.7.3 Extracting General Acute Care Hospital Data 112 9.8 Analysis 112 9.8.1 Descriptive Analysis 112 9.8.2 Geographic Distribution of Total Diversion Hours 113 9.9 Summary 116 9.9.1 Statistical Insights 116 9.9.2 Implications and Next Steps 116 9.9.3 Summary of Tools and JMP Features 117 9.9.4 Exercises 117 9.9.5 Discussion Questions 118 References 118 10 Monitoring Ambulance Diversion Hours 119 10.1 Key Concepts 119 10.2 DMAIC 119 10.3 PDCA 119 10.4 Background 119 10.5 The Task 120 10.6 The Data: CedarsSinai_Diversion_Hours.jmp 120 10.7 Data Management 121 10.8 Analysis 121 10.8.1 Descriptive Analysis 121 10.8.2 Control Chart Basics 122 10.8.3 Ambulance Diversion Process 123 10.8.4 Setting the Control Limits 123 10.8.5 Monitoring Ambulance Diversion with IR Charts 126 10.9 Summary 130 10.9.1 Statistical Insights 130 10.9.2 Implications and Next Steps 130 10.9.3 Summary of Tools and JMP Features 131 10.9.4 Exercises 131 10.9.5 Discussion Questions 132 References 132 11 Ambulatory Surgery Start Times 133 11.1 Key Concepts 133 11.2 DMAIC 133 11.3 PDCA 133 11.4 Background 133 11.5 The Task 134 11.6 The Data: ASU.jmp 134 11.7 Data Management 134 11.8 Analysis 135 11.8.1 Case 1 Analysis 138 11.8.2 Case 2 Analysis 140 11.9 Summary 141 11.9.1 Statistical Insights 141 11.9.2 Implications and Next Steps 143 11.9.3 Summary of Tools and JMP Features 144 11.9.4 Exercises 144 11.9.5 Discussion Questions 145 Reference 145 12 Pre-Op TJR Process Improvement - Part 1 147 12.1 Key Concepts 147 12.2 DMAIC 147 12.3 PDCA 147 12.4 Background 147 12.5 The Task 148 12.6 The Data: TJR.xlsx 148 12.7 Data Management 150 12.8 Analysis 153 12.9 Summary 159 12.9.1 Statistical Insights 159 12.9.2 Implications and Next Steps 161 12.9.3 Summary of Tools and JMP Features 161 12.9.4 Exercises 161 12.9.5 Discussion Questions 162 Reference 163 13 Pre-Op TJR Process Improvement - Part 2 165 13.1 Key Concepts 165 13.2 DMAIC 165 13.3 PDCA 165 13.4 Background 165 13.5 The Task 166 13.6 The Data: TJR.jmp 166 13.7 Data Management 166 13.8 Analysis 167 13.9 Summary 173 13.9.1 Statistical Insights 173 13.9.2 Implications and Next Steps 174 13.9.3 Summary of Tools and JMP Features 174 13.9.4 Exercises 174 13.9.5 Discussion Questions 175 References 175 14 Pre-Op TJR Process Improvement - Part 3 177 14.1 Key Concepts 177 14.2 DMAIC 177 14.3 PDCA 177 14.4 Background 177 14.5 The Task 178 14.6 The Data: TJR.jmp 178 14.7 Data Management 179 14.8 Analysis 179 14.9 Summary 187 14.9.1 Statistical Insights 187 14.9.2 Implications and Next Steps 188 14.9.3 Summary of Tools and JMP Features 190 14.9.4 Exercises 190 14.9.5 Discussion Questions 191 References 191 Index 193
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tools; data; synonyms xxi; sample size; hospital length; communicate opportunities; ed _ambulance; dashboards; cost; importance; variability; pdca; dmaic; difference; key; basics