Basic concepts

Question 1

What is Interprofessional education (IPE)?

Answer 1

An experience that “occurs when students from two or more professions learn about, from, and with each other (WHO 2010).

Question 2

Who might take part in IPE?

Answer 2

Any healthcare professional, nurses, paramedics, pharmacists, doctors etc.

Question 3

Why is IPE important?

Answer 3

To leant from each other, the the roles of each healthcare profession, what they do and the importance of their roles and work together in best interest of patient.

Question 4

What is and who are the members in a multidisciplinary team?

Answer 4

A multidisciplinary team (MDT) is a group of health and care staff who are members of different organisations and professions (e.g. GPs, social workers, nurses), that work together to make decisions regarding the treatment of individual patients and service users. MDTs are used in both health and care settings.

Question 5

What is the main role of the pharmacist in the multidisciplinary team?

Answer 5

With the patient, the pharmacist performs admission medication history interviews, drug management review, medication counselling and patient education.

Question 6

What are the different types of variables?

Answer 6

1. Categorical
2. Continuous
3. Ordinal
4. Independent and dependant

Question 7

What is categorical data (nominal)?

Answer 7

Characteristics i.e. assigned sex at birth, experimental; or control drug etc

Question 8

What is continuous data (numerical data)?

Answer 8

Quantifiable data i.e. Height, weight, heart rate etc

Question 9

What is ordinal data (both categorical or continuous)?

Answer 9

Points on a scale i.e. data fall into categories, but the
numbers placed on the categories
have mathematical meaning such as scoring/rating system from 1-5.

Question 10

What is an independent variable?

Answer 10

Can be controlled

Question 11

What is a dependant variable?

Answer 11

Can’t be controlled

Question 12

What does it mean if a graph is a bell curve graph?

Answer 12

Normal distribution
Mean = mode = median

Question 13

What is variance?

Answer 13

Variance: how far the numbers are spread around the mean (Calc: calculate the difference between each point and the mean; then, square, sum and divide by the sample size less 1)

Question 14

What is standard deviation?

Answer 14

Standard deviation – a measure to use as a comparison (Calc: square root of the variance)

Question 15

Why is standard deviation useful?

Answer 15

Results that are within 1 standard deviation are much closer to the mean i.e. more “normal”

Question 16

What is descriptive statistics?

Answer 16

Reports only on the sample

Question 17

What is inferential statistics?

Answer 17

makes an inference about a larger population
inference: a conclusion reached on the basis of evidence and reasoning i.e. errors and risks

Question 18

What is a null hypothesis and an alternative?

Answer 18

A null hypothesis (H0) is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.
For example: There is no difference in the average change in LDL cholesterol based on the statin received.
An alternative hypothesis (H1) is a statement used in statistical inference experiment, simply an alternative to the null.
For example: The Ho is false

You can either fail to reject the null hypothesis (saying its true) OR reject the null hypothesis (saying its false)

Question 19

What is a type 1 and type 2 error?

Answer 19

If the reject the null hypothesis, saying its false, but it is infact true then it is a type 1 error
If the fail to reject the hypothesis, saying its true, but it is infact false then it is a type 2 error