EVIDENCE BASED MEDICINE Flashcards

1
Q

What are the steps in Evidence Based Psychiatry?

A

5 A’s

Ask - a relavent question about the patient

Access - database of available research

Appraise - look through research and appraise articles

Apply - apply what you’ve learned to your patient

Assess - evaluate your performance

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2
Q

How do you formulate a clinical question?

A

PICO

Patient/problem

Intervention

Comparison

Outcome

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3
Q

When would you use a case report/case series?

A

For some rare disease, that you want to do cheaply and quickly. But you cannot draw meaningful conclusions about cause and effect.

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4
Q

When would you use a Cross Sectional Study?

A

To determine prevelance. You can demonstrate cause and effect also.

Unfortunately you can get something called Prevelance-Incidence Bias - a risk factor appears to have caused a disease when it could just be something that alters duration or prognosis.

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5
Q

When do you use Cohort Studies?

A

Take 2 groups (defined by whether or not they were exposed to a risk factor). Compare who develops a disease with who doesn’t in both groups to give you an idea of whether exposure results in development of the disease.

PROSPECTIVE

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6
Q

What is Central Tendency and how is it measured?

A
  • It is a description of a data set using a single value that represents the centre of a data set.*
  • Mean, Median, Mode*
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7
Q

Mean?

A

Sum of all measurements divided by the number of elements.

Best for normally distributed data.

Painfully skewed by Outliers.

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8
Q

Median?

A

Middle value in a data set. Not affected by outliers (therefore can be used with NON NORMAL or skewed distributions). Okay when dealing with ordinal data.

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9
Q

Mode?

A

Most often occuring data.

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10
Q

What is Dispersion and how is it measured?

A

Dispersion is the spread about the mean. Measured by :

  • SD (which is the square root of variance)
  • Standard Error of the Mean
  • Quartiles
  • Percentile
  • Range
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11
Q

Skewness and Kurtosis

A

Skewness - a measure of assymetry

Kurtosis - refers to the degree of the presence of outliers (spread wide or thin tailed).

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12
Q

Variance

A

Statistical measure of variations

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13
Q

Standard Deviation

A

Measure of spread about the mean.

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14
Q
A
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15
Q

Parametric vs Non Parametric

A

Parametric - makes assumptions about the distribution of the population from which the data was taken. The assumption is usually that the data is NORMALLY DISTRIBUTED.

Non parametric - does not make assumptions about the distribution. Better used to non normally distributed data or when making the assumption of normallity is worrisome (small sample size).

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16
Q

And yet….

A

Non Parametric tests are LESS POWERFUL (so you need a bigger study size).

But Parametric tests can make the WRONG CONCLUSIONS about associations.

17
Q

How many phases of DRUG TRIALS?

A

4

18
Q
A
19
Q

Phase 1 Drug Trials

A

safety and pharamacokinetics

small group, assess tolerability

20
Q

Phase 2 drug trials

A

test effective dose, dosing schedule, often by COMPARING IT TO ANOTHER drug

21
Q

Phase 3

A

Double Blind RCT to further test efficacy and safety

22
Q

Phase 4

A

post marketing

helps you find out less common SE and test the drug in specific populations