Tutorial 15 May 2014

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This was the last tutorial in the current series.
We resume on Monday 9th. June with the start of preparation for the written exam.

55.	Viva: bullying & harassment.
56.	Viva: drug development & licensing.
57.	Roleplay: teach trainee re breech delivery.
58.	Viva: child sexual abuse.
59.	Viva: neonatal screening.

55.       Viva: bullying & harassment.

             Candidate’s instructions.

This is a structure viva about bullying and harassment.

The examiner will ask you 6 questions.

56.       Viva: drug development & licensing.

             Candidate's instructions.

This is a viva station.

The examiner will ask you 6 questions.

57.       Roleplay: teach trainee re uterine inversion.

             You are on-call on the labour ward.

             For once there is no one in labour.

             The consultant has asked you to teach a new trainee about uterine inversion.

58.       Viva: child sexual abuse.

             Candidate's Instructions.

This is a viva station.

The examiner will ask you 7 questions.

59.       Viva: neonatal screening.

             Candidate’s instructions 

This is a viva station.

             Your task is to explain the key aspects of neonatal screening to a new trainee.

60.       Critical appraisal.

             Viva. Criticise paper. “Burden of adhesions in abdominal and pelvic surgery: systematic review and met-analysis”. BMJ 2013; 347 doi: http://dx.doi.org/10.1136/bmj.f5588 (Published 3 October 2013. Cite this as: BMJ 2013;347:f5588

Tutorial 6 May 2014

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Julie Morris, Head of Medical Statistics at Manchester University and one of the editors of the BMJ gave a tutorial on how to criticise a paper with only 15 minutes to prepare.
This has come a few times in the OSCE, so you need a plan and some idea of technique.
Julie gives a good idea of how to go about this.
I have also written a few thoughts.
Send me what you come up with and I'll send my version.
You should then be well prepared.

We then had a roleplay about basic statistics.
The questions asked were:

1.       what is the range?

2.       what is the mean?

3.       what is the median?

4.       what is the mode?

5.       how are they related if the distribution is normal?

6.       what is a normal distribution?

7.       what terms apply to a distribution curve if the tail on the right extends further than that on the left?  It is asymmetric, no longer normally-distributed and is positively skewed.

8.       what is is the interquartile range? 

9.       what is the standard deviation?

10.   what is the standard error?

11.   what percentage of results lie within 1 standard deviation of the mean if the distribution in normal? 

12.   what percentage of results lie within 2 standard deviation of the mean if the distribution in normal?

13.   what percentage of results lie within 3 standard deviation of the mean if the distribution in normal?

14.   what is the null hypothesis?

15.   if we reject the null hypothesis, what are we left with?

16.   what is a type I error?

17.   what is a type II error?

18.   what is the use of “non-inferiority” in a trial?

19.   when might “non-inferiority” be useful?

20.   what is the confidence interval in relation to a value?

21.   what is a phase 1 clinical trial?

22.   what is a phase 2 clinical trial?

23.   what is a phase 3 clinical trial?

24.   what is a phase 4 clinical trial?

25.   what is “intention to treat” and why is it important?

26.   what is the point in living if I have to know all this stuff?

 I only wrote this yesterday afternoon, so there are a few bits to add.

Send me your answers and I'll send my version - I hope to get time to write this in the next day or two.

We also discussed Cochrane as this has been asked in the exam.

The questions asked were:

1. What kind of organisation is the Cochrane Collaboration?

2. What is its overall structure?

3. Where does it get its funding?

4. What are the components of the Cochrane logo? 

5.What does the Collaboration do?

6. Why is it called “Cochrane”?

7. Explain the forest plot you were given.

The Forest plot can be found here: 

http://www.nottingham.ac.uk/nmp/sonet/rlos/ebp/meta-analysis2/forest_plot.html.

It is similar to the one used in the Cochrane logo.