Hey Folks!

Preventive & Social Medicine (Community Medicine) is a difficult branch to understand ... leave alone the aspect of liking it. Nonetheless, it is an important overarching medical subject encompassing clinical medicine, human behaviour, environment and many more.
Many students keep asking me a lot of exam questions again and again. The aim of this blog is to answer various queries and difficult concepts pertaining to this subject.
Do email me / comment if you find any mistakes or want answers to any particular qustion not listed here.
Enjoy!

Thursday, May 12, 2016

Q: A psychiatrist devised a short screening test for depression. An independent blind comparison was made with a gold standard for diagnosis of depression among 200 psychiatric outpatients. Among the 50 outpatients found to be depressed according to the gold standard, 35 patients were positive for the test. Among 150 patients found not to be depressed according to the gold standard, 30 patients were found to be positive for the test.

a. The sensitivity was 80%
b. The specificity was 80%
c. The positive predictive value was 80%
d. The negative predictive value was 80%

 

 

 


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Ans: b.

 

Step 1: Make a 2x2 table in this format:


 


Gold Std +


Gold Std -


Total


New Test +


 


 


 


New Test  -


 


 


 


Total


 


 


 

 


Step 2: Start filling this table based on data given:


 


Gold Std +


Gold Std -


Total


New Test +


35


30


 


New Test  -


 


 


 


Total


50


150


200

 

Step 3: Complete remaining table :


 


Gold Std +


Gold Std -


Total


New Test +


35


30


65


New Test  -


15


120


135


Total


50


150


200

Step 4: Use definitions to calculate indices:


  • Sensitivity = True Positive / Total Diseased           =  35/50 =  0.7 (or 70%)


  • Specificity = True Negative / Total Not diseased    = 120/150 = 0.8  (or 80%)


  • PPV = True Positive / All Positives                        = 35/65 = 0.54 (or 54%)


  • NPV = True Negative / All Negatives                     = 120 / 135 = 0.89 (or 89%)

 

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