PUBLIC HEALTH Flashcards
(98 cards)
What is sensitivity?
Sensitivity: The ability of a test to correctly identify those with the condition (true positive rate).
TP / (TP + FN )
What is specificity?
Specificity: The ability of a test to correctly identify those without the condition (true negative rate).
Proportion of patients without the condition who have a negative test result
TN / (TN + FP)
What is the positive predictive value?
The chance that the patient has the condition if the diagnostic test is positive
TP / (TP + FP)
What is Negative predictive value?
The chance that the patient does not have the condition if the diagnostic test is negative
TN / (TN + FN)
What is the likelihood ratio for a positive test result?
Likelihood Ratio for a Positive Test (LR+): How much more likely a positive test result is in someone with the condition compared to someone without it.
sensitivity / (1 - specificity)
What is the likelihood ratio for a negative test result?
Likelihood Ratio for a Negative Test (LR-): How much less likely a negative test result is in someone with the condition compared to someone without it.
(1 - sensitivity) / specificity
What is a problem with case control studies?
Recall bias
What is a Cohort study?
Observational and prospective. Two (or more) are selected according to their exposure to a particular agent (e.g. medicine, toxin) and followed up to see how many develop a disease or other outcome.
The usual outcome measure is the relative risk.
Examples include Framingham Heart Study
What is a case-control study?
Look at group of people w a condtion, and compare them to a control group.
Researchers look back to see if there were any differences in exposures or risk factors between the groups. It helps find possible causes of the condition.
The usual outcome measure is the odds ratio.
Inexpensive, produce quick results
Useful for studying rare conditions
Prone to confounding
What is a cross-sectional study?
Provide a ‘snapshot’, sometimes called prevalence studies
Provide weak evidence of cause and effect
What is a type 1 error?
Two types of errors may occur when testing the null hypothesis
type I: the null hypothesis is rejected when it is true
What is a type 2 error?
type II: the null hypothesis is accepted when it is false - i.e. Failing to spot a difference when one really exists, a false negative.
How do you work out relative risk?
Work out the odds in each group.
Then divide the odds of each group together and that gives you the outcome
EER/CER
Relative risk reduction (RRR) or relative risk increase (RRI) is calculated by dividing the absolute risk change by the control event rate
Using the above data, RRI = (EER - CER) / CER = (0.6 - 0.25) / 0.25 = 1.4 = 140%
What is absolute risk reduction?
Absolute risk reduction (ARR) is calculated as the difference in event rates between two groups. In this context, it represents the additional benefit of one treatment over another in reducing pain.
Subtracting the risk of pain in the usual treatment group (1,340 / 1,530) by the risk of pain in the current best treatment group (1,578 / 1,820). 87.6% - 86.7% = 0.9%
How do you work out odds ratio?
odds of contracting the condition in the exposed / odds of contracting the condition in the unexposed.
eg
40 out of 60 smokers have lung cancer
10 out of 90 non smokers have lung cancer
Odds of lung cancer in smokers 40/60
odds of lung cancer in non smokers 10/90
40/60 = 0.66
10/90 =0.11
0.66/0.11= 6
This means smokers are 6 times more likely to have the disease compared to non-smokers.
Interpretation:
OR = 1: No association between exposure and outcome.
OR > 1: Positive association (exposure increases odds of the event).
OR < 1: Negative association (exposure decreases odds of the event).
Different types of plot chart?
Funnel plot: Funnel plots are primarily used to demonstrate publication bias in meta-analyses. As publication bias is being investigated here, and the researcher is conducting a meta-analysis, a funnel plot is the best answer
Box-and-whisker plot: This is a graphical representation of the sample minimum, lower quartile, median, upper quartile and sample maximum. This helps show the distribution of quantitative data. However, it does not demonstrate publication bias.
Forest plot Forest plots are usually found in meta-analyses and provide a graphical representation of the strength of evidence of the constituent trials
Histogram A graphical display of continuous data where the values have been categorised into a number of categories
Scatter plot Graphical representation using Cartesian coordinates to display values for two variables for a set of data
Kaplan-Meier survival plot A plot of the Kaplan-Meier estimate of the survival function showing decreasing survival with time
What is the standard error of the mean?
Standard error of the mean = standard deviation / square root (number of patients)
What are the advantages and disadvantages of a case-control study?
Advantages:
- Good for rare outcomes
- Quicker than cohort or intervention
- Can investigate multiple exposures
Disadvantages:
- Difficulties finding controls of match with cases
- Prone to selection and information bias
What are some advantages and disadvantages of cohort studies?
Advantages:
- Can follow-up group with a rare exposure
- Good for common and multiple outcomes
- Less risk of selection and recall bias
Disadvantages:
- Take a long time
- Loss to follow up
- Need a large sample size
What are some advantages and disadvantages of a cross-sectional study?
Advantages:
- Cheap and quick
- Provide data on prevalence at a single point in time
- Large sample size
- Good for public health planning
Disadvantages:
- Risk of reverse causality (don’t know whether outcome or exposure came first)
- Cannot measure incidence
- Risk of recall bias and non-response
What are the advantages and disadvantages of RCT?
Advantages:
- Low risk of bias and confounding
- Can infer causality
Disadvantages:
- Time consuming
- Expensive
- Specific inclusion/exclusion criteria may mean the study population is different from typical patients
What are the different factors that can explain associations?
- Chance
- Bias
- Confounding
- Reverse causality
- A true association
What is selection bias and what can cause it?
Systematic error in the selection of study participants of the allocation to different study groups
- Non- response
- Loss to follow up
- Are those in the intervention group different to those in the control group
What are the different types of information bias?
Measurement (e.g. different equipment used to measure the outcome in the different groups)
*Observer (e.g. the researcher knows which participants are cases and which are controls and subconsciously reports/measures the exposure or outcome differently depending on which group they are in)
- Recall (e.g. events that happened in the past are not remembered and reported accurately)
- Reporting (e.g. respondents report inaccurate information because they are embarassed)