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1

What are the target and sample populations?

- Target population = larger population

- Sample population = sub-set of target population as we can't sample everyone

2

What are the 4 main types of bias?

- Sampling bias = individuals more/less likely to be included

- Recall bias = cannot remember specifics

- Social-desirability bias = study group tell us incorrect information due to societal pressure 

- Information bias = measurement error

3

What are the 3 types of study designs?

- experimental (researcher changed something) vs. observational (researcher has not intervened, just observed)

- retrospective (look back into past, subject to bias) vs. prospective (collect information at start and follow up over time)
- individual vs. population

4

What is a case-control study? What are its strengths and weaknesses?

•Find people with a disease, look back in time and see whether they were exposed to risk factor in question. 

•Retrospective

Positives

•Works well for investigating rare outcomes

•Relatively fast/cheap (no follow up)

•Few ethical considerations

Negatives

•Cannot prove causation/eliminate confounders

•Can be difficult to establish order of events

•Possibilities for bias (recall bias)

•Can only investigate a single disease

 

 

5

What is a cross-sectional study? What are its strengths and weaknesses?

 

•Take a sample, see who has the disease right then and there

Positives

•Relatively fast/cheap (no follow up)

•Few ethical considerations

•Generates hypotheses

Negatives

•Cannot prove causation/eliminate confounders

•Less suitable for rare disease

•Difficult to get an understanding of order of events

•Sample bias (when you do the study)

 

 

6

What is a cohort study? What are its weaknesses?

•Collect information from a sample, some with exposure, some do not (none should have the outcome).

•Follow-up over time and see if there is a link between exposure and outcome

•Prospective

Positives

•Few ethical considerations

•Clarity on event sequence

Negatives

•Cannot prove causation/eliminate confounders

•Not suitable for rare disease or when disease takes a long time to develop

•Time consuming/expensive

•Difficulty following up

•Patients can change behaviours in the cohort

7

What is randomised controlled trial (RCT)? What are its strengths and weaknesses? 
 

•Multiple groups (referred to as arms), give each different exposures and compare outcomes.

•We can balance arms by matching, randomising, cross-over, placebos, blinding

Positives

•Considered gold standard, can prove causation by eliminating confounders…

•Particularly with extensions (cross-over trial)

•Random (less bias)

Negatives

•Not suitable for rare outcome or when outcome takes a long time to develop

•Time consuming/expensive

•Often unethical

•Issues with people following up, compliance etc.

8

What is a crossover trial? What are its weaknesses? 

- Extension of RCT. Everyone has all arms of trial

- Weaknesses = more technical analyses, not always suitable (even if standard RCT is)

9

What is an ecological study? What are its strengths and weaknesses?

- Massive sample (if not whole population) by looking at data previously collected to look at prevalence, trends and correlation

- Look at populations, not individuals

Positives

•Fast/cheap

•Very large sample (small standard error)

•Easy to do

•Good first step to generate hypothesis

Negatives

•You do not know how data was collected (variation/bias)

•Often absent/inconsistent/incorrect data – variation in diagnosing criteria

•Cannot prove causation

Ecological fallacy – where there is a correlation between predictor and outcome, but this does not mean causation.

10

Explain what the ecological fallacy is.

The ecological fallacy occurs when you make conclusions about individuals based only on analyses of group data. Just because two things are linked, it doesn't imply a causal relationship

11

What is a sample? What is the difference between the target population and the sample population?

•A sample is a group we are using to represent the population.

–Target population – the population the sample represents

–Sample population – the people whom data is collected

The sample population should generalise the target population.

12

What are the five main types of sampling?

- Random sampling - random number generator, “draw a name out of a hat”. Usually preferred way of sampling

- Systematic sampling - count of the list and every “k”th element is taken

- Convenience sampling - The first people who approach you are used. Easiest technique but likely the worst

- Cluster sampling:

●Divide the population into groups, usually geographically

●Each group is called a cluster, or block

●Clusters are randomly selected, each element in the selected cluster used

- Stratified sampling:

●Divide the population into groups/strata, based not on geography, but some characteristic, e.g. males and females

●A sample is taken from each of these strata using either random, systematic or convenience sampling

13

What are the 6 main types of bias?

•Sampling bias – sample is not representative of the target population (encompasses other forms of bias)

•Recall bias – people fail to remember specifics innocently

•Social-desirability bias – incorrect information is given due to societal pressure

•Information bias – where data is consistently measured wrong (may be referred to as observation bias)

•Volunteer bias – volunteers for a study often aren’t representative

•Produced bias – subjects in different arms are treated differently

14

What are 3 other forms of bias that are related to screening?

•Selection bias - people who sign up for screening programmes are not representative of the whole population (higher/lower risk)

–E.g. women in higher socioeconomic groups more likely to attend cervical cancer screening, who are at lower risk 

•Lead time bias - screening improves survival length?

–Maybe no, just detected illness sooner

•Length-time bias - screening improves survival length?

–Maybe no, people who survive longer are more likely to be picked up by screening

15

What is a confounding factor?

- A confounding factor has to be related to the outcome, and the characteristic of interest (exposure)

- Examples:

- There is a high rate of lung cancer among those who have breath mints. Confounder is smoking.

- There are high rates of cancer among people in care homes. Confounder is old age.

16

Which type of study design below would be best to investigate the following;

“Identify patients who have had previous MIs and compare their diet, smoking habits and exercise activity with people that are similar but have not suffered previous MI?”

A. Ecological study

B. Cohort study

C. Cross sectional study

D. Longitudinal study

E. Case control study

Answer: E, take the group of individuals who have had heart attacks and look back in time to investigate diet smoking habits and exercise, then do the same for the group who have not suffered heart attacks

17

A research group wants to estimate the UK national prevalence of coeliac disease. What study design would be most appropriate?

A. Cohort

B. Randomised control trial

C. Cross sectional

D. Longitudinal

E. Case control

Answer: C – Cross sectional, gives a snapshot of prevalence with no reference to time

18

To calculate the average 100m sprint time, a research group advertises they are looking for participants to run around a track and select participants by a convenience sample.

Which type of bias is this sampling method subject to?

A. Volunteer bias

B. Recall bias

C. Lead time bias

D. Misclassification bias 

Answer: A – people who enjoy exercise are more likely to volunteer for the study than those who are not, thus the sample is not entirely representative

19

To draw a sample from primary school children, researchers line children up and count off the children 1, 2, 3, 1, 2, 3... placing them into 3 different groups

Which term best describes this form of sampling?

A. Random sampling

B. Systematic sampling

C. Convenience sampling

D. Cluster sampling

E. Stratified sampling   

B. Count of the list and every “k”th element is taken, here K is 3

20

A study is designed to examine the relationship between blood pressure (BP) and occupation group. If age is a confounder, then: 

- A. Age is linked to diet, and diet affects BP

- B. Different occupations will have different ages, BP will change with age

- C. Younger and older people have the same occupations

- D. Different occupations have similar age groups

B

21

Which of the following is true of observational studies?

- A. They can have retrospective studies

- B. They are always shorter than an experimental study

- C. They are more powerful than experimental studies

- D. Participants must be randomised into groups before analysing the data

A

22

University students with insomnia were randomly assigned with a simple randomisation (flip of a coin) to receive either CBT or usual care. This randomisation method ensures:

- A. Each student has an equal chance of being in any treatment group

- B. The student is unaware of the treatment group to which they are assigned 

- C. The same number of students will be allocated to each group

- D. Although individuals receive different treatments, each student will be allocated to the treatment most likely to benefit them 

A

23

Sampling bias occurs when:

- A. Certain individuals are more likely to be included in the study than others

- B. 40% of the original sample drop-out of the study at random

- C. Observational studies are used instead of RCTs

- D. The researcher is not blinded within the study

A

24

In a cohort study:

- A. It is possible to look at a range of outcomes

- B. We use a snapshot of time

- C. We can examine very rare diseases

- D. We don't worry about confounding 

A

25

A case-control study:

- A. Can often suffer from a loss to follow-up

- B. Is the type of study where individuals are initially selected on the basis of their exposure status, not their outcome

- C. Has an advantage as it allows researchers to look at a range of outcomes

- D. Can often suffer from recall bias

 

D

26

Match the study design with the most appropriate description. 
- A. Cohort study

- B. Case-control study

- C. Ecological study

- D. Cross-sectional study

1. Carries out in a snap-shot of time without follow up of subjects or looking back in time

2. Collect information now and follow subjects up over time to explore outcomes 

3. Collect information on an outcome now, and look back in time to see when exposures were experienced

- 4. Information on groups of individuals (e.g. countries) rather than individual level data

 

1 = D

2 = A

3 = B

4 = C

27

What are the five steps of Evidence Based Medicine?

- Asking focused questions (use PICO questions: population, intervention, comparator + outcome)

- Finding the evidence

- Critical appraisal (how valid + reliable? Don't take everything at face value)

- Making a decision

- Evaluating performance

Before any of this, make sure the answer isn't already out there.

28

What is PICO?

A way of generating a research question.

•P – patient of population

•I – intervention or indicator (exposure, treatment or procedure)

•C – comparison or control (a group compared against the intervention)

•O – Outcome (end-point of interest)

An example of a research question formed with PICO:

“Is living alone (I) more likely to cause clinical depression (O) in adults aged 20-40 (P) compared to individuals living with 1 or more people (C)?”

29

What is a variable? What are the two categories of variables?

Variable = quantitative measure of something that varies. Categoric = individuals fall into one of several categories. Numeric = variable measured on a numerical scale

30

What are the different types of categoric variables? 

- Binary = only 2 categories (yes/no)

- Ordinal = >2 categories, ordering (low/medium/high)

- Nominal = >2 categories, no ordering (hair colour)