Storytelling with Data in Healthcare

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 bachelor’s 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.

Table of Contents






Introduction





Evolution of Healthcare Analytics



Know Your Numbers



Develop Behavioral Interventions



Set Goals to Drive Change




Research Methods





Reliability



Validity



Scales of Measurement



Sampling Techniques



Research Methodology




Statistical Analysis





Alpha and Type I Error



Beta and Type II Error



Power



Statistical Significance vs Clinical Significance



Descriptive/Inferential Statistics



Measures of Central Tendency



Measures of Dispersion



Parametric/Non-Parametric Statistics



Bridging the Gap between Statistical Methods and Healthcare



Run Charts



Control Charts




Mortality and Readmission





Process and Outcome Metrics



Run/Control Chart Contradiction



Methodologically Testing Your Creativity with Data



Run Charts Methodology



Control Chart Methodology




Patient Satisfaction





Press Ganey



Patient Experience



Behaviors and State of Mind



Survey Methodology



HCAHPS Survey



Results




AHRQ Safety Survey





Why Focus on Patient Safety



Survey Methodology



AHRQ Hospital Survey Methodology




The Past, Present, and Future





Government initiatives/programs



Core Measures and Bundled Treatments



Methodology



Infection/Safety Domain Methodology




CMS STAR rating





Composite an Summary Scores



Process and Outcome Metrics



CMS Star Rating Methodology



Statistical Concepts



CMS Star Statistical Methodology




CMS Hospital Compare





Methodology



Methodology of Data Definitions



Methodology of Statistics




Turn Data Into Action





The Art of a Question



Step Back and Don’t Jump to Conclusions



Think Methodologically



Analyze the Metric



Test Your Creativity with Understanding the Data



Insights – Use the Skills Learned to Question What You See



Search for the Critical Questions to Ask



Trending Data to Understand Past, Present, and Future



Inquire Others to Have a Complete Picture of What is Happening



Conclusions – Use All Available Information to Derive Conclusions



Sustainable Solutions – Create Solutions