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E-raamat: Storytelling with Data in Healthcare [Taylor & Francis e-raamat]

Kevin Masick, Eric Bouillon

Formaat: 178 pages, 20 Tables, black and white; 30 Line drawings, black and white; 9 Halftones, black and white; 39 Illustrations, black and white
Ilmumisaeg: 30-Nov-2020
Kirjastus: Routledge
ISBN-13: 9781003027218

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Taylor & Francis e-raamat
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Tavahind: 230,81 €
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Formaat: 178 pages, 20 Tables, black and white; 30 Line drawings, black and white; 9 Halftones, black and white; 39 Illustrations, black and white
Ilmumisaeg: 30-Nov-2020
Kirjastus: Routledge
ISBN-13: 9781003027218

Teised raamatud teemal:

Rohkem infot Taylor & Francis e-raamatute kohta

Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9781003027218

With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take a step back and view the big picture. Relying on hunches or beliefs are no longer sustainable, so avoid jumping to conclusions and making decisions without thoroughly understanding the statistics being analyzed. The triple aim of statistics is a conceptual model laying the foundation for improving healthcare outcomes through statistics. This foundation is: Know your numbers; Develop behavioral interventions; and set goals to drive change.

With the availability of electronic data sources, the quantity and quality of data has grown exponentially to the point of information overload. Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement. Readers will learn to tell a narrative story based on data, to develop creative, innovative and effective solutions to improve processes and outcomes utilizing the authors’ tools. Topics include mortality and readmission, patient experience, patient safety survey, governmental initiatives, CMS star rating and hospital compare.

Storytelling with Data in Healthcare

combines methodology and statistics in the same course material, making it coherent and easier to put into practice. It uses storytelling as a tool for knowledge acquisition and retention and will be valuable for courses in nursing schools, medical schools, pharmacy schools or any healthcare profession that has a research design or statistics course offered to students. The book will be of interest to researchers, academics, healthcare professionals, and students in the fields of healthcare management and operations as well as statistics and data visualization.

Author biography

Preface

Acknowledgments

xii

1 Introduction

(10)

Introduction

(1)

Evolution of Healthcare Analytics

(3)

Know Your Numbers

(1)

Develop Behavioral Interventions

(1)

Set Goals to Drive Change

(2)

Conclusion

(1)

Discussion Questions

(1)

2 Research Methodology

(16)

Introduction

(1)

Reliability

(3)

Validity

(4)

Scales of Measurement

(2)

Sampling Techniques

(2)

Research Methodology

(3)

Discussion Questions

(2)

3 Statistics

(17)

Introduction

(2)

Alpha and Type I Error

(1)

Beta and Type II Error

(1)

Power

(2)

Statistical Significance vs. Clinical Significance

(1)

Descriptive/Inferential Statistics

(1)

Measures of Central Tendency

(1)

Measures of Dispersion

(1)

Parametric/Non-parametric Statistics

(1)

Regression

(1)

Logistic Regression

(1)

Linear Regression

(1)

Bridging the Gap between Statistical Methods and Healthcare

(2)

Rate, Index, and Ratio Trended Over Time

(4)

Confidence Intervals

(1)

Percentiles/Percentile Ranks

(1)

Odds Ratio

(1)

Conclusion

(1)

Discussion Questions

(1)

4 Mortality and Readmission

(18)

Introduction

(2)

Run/Control Chart Contradiction

(3)

Methodologically Testing Your Creativity with Data

(1)

Run Charts Methodology

(1)

Run Chart Results

(2)

Control Chart Methodology

(4)

Control Chart Results

(1)

Discussion

(4)

Discussion Questions

(1)

5 Patient Experience

(18)

Introduction

(1)

Press Ganey

(1)

Patient Experience

(2)

Behaviors and State of Mind

(3)

Survey Questions

(1)

Response Scales

(1)

HCAHPS Survey

(1)

Statistical Method Review

(3)

Results

(1)

Creating Graphs

(3)

Discussion

(3)

Discussion Questions

(1)

6 AHRQ Safety Survey

(18)

Introduction

(2)

Why Focus on Patient Safety?

(1)

Survey Methodology

(2)

AHRQ Hospital Survey Methodology

(3)

Results

(7)

Discussion

(1)

Discussion Questions

(2)

7 Past, Present, and Future: The Evolution of Initiatives

(17)

Introduction

(1)

Partnership for Patients

(1)

Patient Protection and Affordable Care Act

(1)

Pay for Performance

(1)

Value-Based Purchasing

100

(1)

Hospital Readmissions Reduction Program

100

(1)

Hospital-Acquired Condition Reduction Program

101

(1)

Bundled Payments for Care Improvement

101

(1)

Core Measures and Bundled Treatments

101

(2)

Methodology

103

(1)

Infection /Safety Domain Methodology

104

(1)

Results

105

(6)

Discussion

111

(2)

Resistors to Change

113

(1)

Discussion Questions

114

(1)

8 CMS Star Rating

115

(23)

Introduction

115

(1)

Composite and Summary Scores

116

(1)

Process and Outcome Metrics

117

(1)

CMS Star Rating Methodology

118

(3)

Statistical Concepts

121

(2)

CMS Star Statistical Methodology

123

(4)

Box-and-Whiskers Plot

127

(1)

Results

128

(8)

Discussion

136

(1)

Discussion Questions

137

(7)

9 CMS Hospital Compare

138

(13)

Introduction

138

(2)

Methodology

140

(4)

Results

144

(1)

DEFINE the Metric

145

(1)

Focus on the FACTS of What Is Presented

145

(2)

STOP and Ask Questions to Plan for Improvement

147

(1)

Discussion

148

(1)

Discussion Questions

149

(2)

10 Turn Data Into Action

151

(16)

Introduction

151

(1)

The Art of a Question

152

(3)

Step 1 Step Back and Don't Jump to Conclusions

155

(1)

Step 2 Think Methodologically

155

(1)

Step 3 Analyze the Metric

156

(1)

Step 4 TestYour Creativity with Understanding the Data

157

(2)

Step 5 Insights -- Use the Skills Learned to Question What You See

159

(1)

Step 6 Search for the Critical Questions to Ask

160

(2)

Step 7 Trending Data to Understand Past, Present, and Future

162

(1)

Step 8 Inquire Others to Have a Complete Picture of What is Happening

162

(2)

Step 9 Conclusions -- Use All Available Information to Derive Conclusions

164

(1)

Step 10 Sustainable Solutions - Create Solutions

164

(1)

Discussion Questions

165

(2)

Glossary

167

(4)

References

171

(4)

Index

175

Kevin D. Masick, Ph D.

Kevin has 15+ years of experience in both academia and practice. He has taught at 5 universities in both the business school and psychology department teaching undergraduate and graduate courses in-person and online in research methodology and statistics. He has worked for 3 healthcare systems in human resources, quality management, and strategic planning where he has led a team of healthcare professionals in improving patient outcomes through innovative analytics and dashboards, research, and education. In addition to his full time work, he has published an advanced research methods textbook, built multiple training programs both in-person and online, and published in peer reviewed journals. He received his Ph D in Applied Organizational Psychology and masters in Industrial/Organizational Psychology both from Hofstra University and his bachelors degree in psychology from SUNY Albany.

Eric Bouillon, Ph D.

Eric has 4 years of experience working as a dissertation coach using his expertise in research design and statistics to coach doctoral students. He has also worked with Kevin to develop a online and in-person training program to help healthcare employees how to interpret and utilize statistics in practice. Recently, while writing this book, Eric was finishing up his Ph.D. at Hofstra University in Organizational Psychology. His dissertation focused on creating a scale that utilized psychometric and scale development best practices to measure how well individuals use statistics to find data-driven solutions in organizations. Most recently, Eric has branched out of academia and was hired as a People Scientist at a recruitments firm to help develop tailored assessments for selection and recruitment. He also spearheaded the development of a new tool that measures organizational purpose through psychometric testing.

Püsilink: https://www.kriso.ee/db/9781003027218_pe.html

Märksõnad:

Medical statistics - Data processing

E-raamat: Storytelling with Data in Healthcare [Taylor & Francis e-raamat]

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