This is a handout I gave out to an under-grad stats class (where I was a guest lecturer) where I attempted to use a real life situation to impress upon the students the importance of statistics. I then went through six published journal articles relating to this topic to show them how to make a rational decision based on the current literature and statistics available on ESRD to show them how to come to an "evidence based" decision.
Statistics: So What?
Case Study for Kidney Failure Treatment Options Using Statistics as a Guide
Presenter: Eli Lazovsky, MPH
Date: June 14, 2011–06–14
For: HTC Statistics Class
You are advising a friend who has ESRD/Kidney Failure about his/her treatment options. What would you suggest to them as a rational course of action. Remember, there is not necessarily only 1 correct option. Be able to back up (using statistics) whatever you decide to advise your friend. Your friend isn’t so proficient in statistics so (s)he is relying on what you learned in your statistics class to help out.
What is your recommendation to your friend. Focus on what decision correlates with the following goal: Increase Life Expectancy
Diagnosis: ESRD
Treatment Options:
A. do nothing
B. dialysis
C. transplant
B. Dialysis
1. hemodialysis
2. peritoneal dialysis
Type of Access Point for the hemodialysis
1. AVF
2. AGF
3. Catheter
Frequency of Hemodialysis
1. 3 times a week
2. 6 times a week
C. Transplant
1. Before starting dialysis
2. After starting dialysis
Status of Organ Donor
1. Deceased Donor/Cadaver Organ
2. Live Donor
Type of Organ
1. Ideal Organ
2. Marginal Organ
This blog deals with general healthcare policy and also with governmental policies which make it harder for people to get organ transplants which lead to decreased life expectancy. It also deals with implications of organ donation policies on life expectancy, quality of life, and economic issues. This blog is partially comprised of knowledge I gained while completing an MPH at NIU. This blog is dedicated to the memory of Harvey Schultz who suffered from Diabetes & ESRD.
Total Pageviews
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment