BEACON EMR HIPAA Disclaimer Site Map Social Media
BayCare Health System
Community Benefit Financial Assistance Policy Quality Report Card Health Library News Dr.BayCare Find Us
Services Hospitals Find A Doctor Classes & Events About Us Careers Contact Us Get E-Newsletter
Statistical Testing
 Back  Back


May We Help You?
 

Call 1-877-692-2922
Monday-Friday, 8am to 5pm

Persons with hearing and speech disabilities can reach the above number through TDD and other specialized equipment by calling the Florida Relay Service at 711.

Contact Us
Send 
e-mail
Search jobs


Decrease (-) Restore Default Increase (+) Font Size
Print    Email

Statistical Testing

We used a widely-accepted statistical formula1 to calculate the 95% confidence level required to perform a one-proportion, two-tailed hypothesis test to determine if our hospitals’ scores for each quality measure were statistically the same or statistically different from the U.S. average.

  • A score that was significantly higher than the U.S. average received a "Green" designation.
  • A score that was significantly lower than the U.S. average received a "Red" designation.
  • A score that was not significantly different from the U.S. average received a "Beige" designation.

We obtained the data used in our calculations from the Centers for Medicare & Medicaid Services (CMS) Web site. We downloaded the scores and the denominators for each CMS process of care measure for each BayCare hospital. The denominator is the total number of patients who met the criteria for inclusion in the measure calculation. From there, we calculated the numerator (the number of patients who actually received the recommended care) for each measure. Then, we entered the information into the statistical formula to apply tests of statistical significance.



1. Breyfogle, F.W. (1999). Implementing Six Sigma - Smarter Solutions Using Statistical Methods. New York, N.Y.: John Wiley & Sons, Inc.

 

 

 


Serving The Tampa Bay Area © Copyright 2014 BayCare Health System