Dr Melissa Gliner, Senior Health Policy Analyst

Kenneth Kovats, Senior Nurse Analyst

Dawn Garcia, Nurse Analyst

Richard Thorp, Deputy Chief of Analysis and Evaluation

US Army MEDCOM

 

Best Poster Winner 

 

One of the major inpatient product lines for the US Army’s medical system is childbirth.  However patient satisfaction scores tend to be significantly lower than other Inpatient product lines at Army hospitals, as well other hospitals in the civilian sector.   Understanding what factors lead to satisfaction or dissatisfaction is of critical importance to determine managerial intervention.  We applied 3 modeling techniques using JMP Pro 13 (Logistic Regression, Classification Trees, and Bootstrap Forest) to identify the key indicators of patient satisfaction for childbirth admissions at U.S. Army Hospitals, and then selected a model which could be used by Hospital Leaders to focus their performance improvement efforts.

 

JMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_1.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_2.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_3.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_4.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_5.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_6.jpg

 

 

 

Published on ‎03-24-2025 08:51 AM by Community Manager Community Manager | Updated on ‎03-27-2025 09:04 AM

Dr Melissa Gliner, Senior Health Policy Analyst

Kenneth Kovats, Senior Nurse Analyst

Dawn Garcia, Nurse Analyst

Richard Thorp, Deputy Chief of Analysis and Evaluation

US Army MEDCOM

 

Best Poster Winner 

 

One of the major inpatient product lines for the US Army’s medical system is childbirth.  However patient satisfaction scores tend to be significantly lower than other Inpatient product lines at Army hospitals, as well other hospitals in the civilian sector.   Understanding what factors lead to satisfaction or dissatisfaction is of critical importance to determine managerial intervention.  We applied 3 modeling techniques using JMP Pro 13 (Logistic Regression, Classification Trees, and Bootstrap Forest) to identify the key indicators of patient satisfaction for childbirth admissions at U.S. Army Hospitals, and then selected a model which could be used by Hospital Leaders to focus their performance improvement efforts.

 

JMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_1.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_2.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_3.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_4.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_5.jpgJMP Discovery Summit Poster - Predictors of Childbirth Satisfaction (pdf version)_Page_6.jpg

 

 

 



Start:
Mon, Oct 8, 2018 09:00 AM EDT
End:
Fri, Oct 12, 2018 05:00 PM EDT
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