What is the true prevalence of obesity (clinically determined) in this population?  What is the prevalence of self-reported obesity in this population?  Why do you think the numbers differ?

Phlebotomy Essentials
6th Edition
ISBN:9781451194524
Author:Ruth McCall, Cathee M. Tankersley MT(ASCP)
Publisher:Ruth McCall, Cathee M. Tankersley MT(ASCP)
Chapter1: Phlebotomy: Past And Present And The Healthcare Setting
Section: Chapter Questions
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Use the table to answer the questions . Show all formulas/calculations.

  1. What is the true prevalence of obesity (clinically determined) in this population? 
  2. What is the prevalence of self-reported obesity in this population? 
  3. Why do you think the numbers differ?
  4. Compute the sensitivity of self-reported obesity measurement.
  5. Express what this means in the context of this scenario. (Review Part B directions for ideas.)
  6. Compute the specificity of self-reported obesity measurement.
  7. Express what this means in the context of this scenario.
  8. Compute the positive predictive value of self-reported obesity measurement.
  9. Express what this means in the context of this scenario.
Part B: Although we typically think of sensitivity and specificity as it relates to tests, it can
also be used to determine how well one method of measurement works compared to
another. For example, we could see how accurate self-reported answers on a survey are in
comparison to clinical measurements. Here is an example.
A survey is conducted of 1000 patients asking them to state YES/NO to the following
question: Are you obese? Then, clinical measurements of those same 1000 patients were
taken to determine a clinical diagnosis of obesity. Results are shown in the table.
Answer the questions. Show all formulas/calculations.
Comparison of Clinical versus Self-Reported Obesity
True Clinical Diagnosis
Obese
Not Obese
Total
Obese
275
50
325
Not Obese
75
600
675
Total
350
650
1000
Self-Report
Transcribed Image Text:Part B: Although we typically think of sensitivity and specificity as it relates to tests, it can also be used to determine how well one method of measurement works compared to another. For example, we could see how accurate self-reported answers on a survey are in comparison to clinical measurements. Here is an example. A survey is conducted of 1000 patients asking them to state YES/NO to the following question: Are you obese? Then, clinical measurements of those same 1000 patients were taken to determine a clinical diagnosis of obesity. Results are shown in the table. Answer the questions. Show all formulas/calculations. Comparison of Clinical versus Self-Reported Obesity True Clinical Diagnosis Obese Not Obese Total Obese 275 50 325 Not Obese 75 600 675 Total 350 650 1000 Self-Report
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