Public Health Flashcards

1
Q

Name 5 types of study

A

Case control
Case series
Cohort study
Randomised control trial
Meta-analysis

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2
Q

Describe case control studies

A

Observational study looking at two sets of participants - one with the condition, one without

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3
Q

Describe case series studies

A

Description of the characteristics and outcomes among a group of individuals with either a disease or exposure over a period of time without control group

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4
Q

Describe a cohort study

A

Longitudinal study following participants over a period of time - retrospective/prospective

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5
Q

Describe a RCT

A

Prospective study measuring the effectiveness of a new intervention/treatment

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6
Q

What is a meta-analysis?

A

Study design used to systematically assess the results of previous research to derive conclusions about that body of research

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7
Q

What are the two key types of data?

A

Quantitative - numerical
Qualitative - categorical

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8
Q

What are the two types of quantitative data?

A

Discrete - integers
Continuous - any value

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8
Q

What are the two types of qualitative data?

A

Ordinal - ordered (stages)
Nominal - non-ordered (blood type/gender)

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9
Q

What is selection bias?

A

Error in selection process

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10
Q

Patients who are lost to follow up differ from those who return is what type of bias?

A

Attrition

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11
Q

What is measurement bias?

A

Information recorded inaccurately

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12
Q

Variables reported differently between assessors is what type of bias?

A

Observer bias

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13
Q

What is procedure bias?

A

Subjects in different arms of study treated differently

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14
Q

What is central tendency bias?

A

Observed when a scale is used with few options and responses trend towards centre

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15
Q

What bias occurs when a variable is classified incorrectly?

A

Misclassification

16
Q

Describe normal distribution

A

Mean =0
Standard deviation = 1
Bell curve

17
Q

What test is used for parametric data that is collected to assess the difference between two groups?

A

Two sample t-test (unpaired)

18
Q

What test is used for non-parametric data collected to assess the difference between two groups?

A

Wilcoxon rank sum
Mann Whitney U test
Kendall’s S test

19
Q

What test can be used for parametric data collected to assess the difference between more than two groups?

A

One way analysis of variance

20
Q

What test can be used on non-parametric data comparing more than two groups?

A

Friedman’s/Kruskal-Wallis

21
Q

What test can be used for parametric data collected to measure the strength of association between two variables?

A

Correlation coefficient

22
Q

What test can be used for non-parametric data collected to measure the strength of association between two variables?

A

Kendall’s tau rank correlation
Spearman’s rank

23
Q

What test can be used for parametric data to assess the difference between paired observations?

A

Paired t-test

24
What test can be used for non-parametric data to assess the difference between paired observations?
Wilcoxon signed rank test Sign test
25
What is artefact?
Explanation seeks to account for inequalities in health as a construct of the measurement process
26
What explanation states that culture determines our behavioural choices affect health?
Cultural/behavioural
27
What is the materialist explanation?
Poverty exposes people to health hazards as disadvantaged people are more likely to live in areas where they are exposed to harm
28
What explanation implies that health determines socioeconomic position, so healthier people move towards better socioeconomic positions?
Social selection/mobility
29
What is a p value?
Probability that the null hypothesis is true
30
What p value is significantly significant?
<0.05
31
What is the purpose of a chi-squared test?
To establish whether there is a significant difference between two groups of categorical data
32
Define NNT
Number of patients that would have to receive the intervention in question to prevent one adverse event
33
Describe sensitive vs specific
Specific - unlikely to positive in alternative condition Sensitive - likely to be positive in presence of disease
34
How do you calculate NNT?
Total population/lives saved