Write a paper on Identification of Known Predictors for Difficult Spinal and Ultrasound Utilization.
Objective one:
Improve provider knowledge on predictors associated with difficult neuraxial anesthesia
Measure Objective 1: Evaluating pre- and post-survey results to measure knowledge on predictors for difficult spinal anesthesia.
Pre + post knowledge survey results :
PDF files are named in order of participants for comparison of data.
Example : Pre-survey results named (Participant 1.pdf) & post-survey results is named (post 1 or post survey 1.pdf)
These results should be compared pre and post and statistical test should be run to determine if participants had an increase in knowledge after presentation.
Correct answer choices for questions are included in file (Survey 1 answers)
Objective 2:
Decrease attempts for spinal anesthetic placement
Measure Objective 2: Survey after US use to measure the number of attempts required for spinal placement.
Results for objective 2 can be found under the PDF named : Spinal Anesthesia Attempt Rates Results
Objective 3:
Evaluate provider utilization of checklist and ultrasound for patients’ undergoing orthopedic surgery.
Measure objective 3: Surveys will determine if providers used ultrasound when checklist predictors indicated a potential risk for difficult placement.
Results for objective 3 can be found under pdf named (survey 2 results)
****Data analysis plan can be modified to provide appropriate statisical analysis for the given results. ****
*** WRITE 1-2 PAGES EXPLAINING RESULTS AND STATISTICAL ANALYSIS USED***
PLAN FOR DATA ANALYSIS :
Qualtrics surveys will be used to evaluate all objectives in the project. To determine if provider knowledge on predictors for difficult spinal anesthesia (objective #1) was increased a knowledge-based questionnaire will be provided pre- and post-educational presentation. Assessment of ultrasound and checklist utilization (objective #3) will also be done through post ultrasound use surveys to determine if providers used ultrasound when checklist predictors determined a risk for
