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What is the aim of medicines information?
To support the safe, effective and efficient use of medicines by the provision of evidence-based information and advice on their therapeutic use
What are the 5 roles of MI centres?
An enquiry answering service
Proactive provision of information and advice
Education and training
Planned introduction of new medicines
Quality assurance
What are the stages of answering an MI enquiry?
Understand the question
Carry out your research
Prepare your answer
Feedback your answer
Should you document every stage of an MI enquiry?
Yes
Define point prevalence
The proportion of people who have a disease at a specific point in time
Define period prevalence
The number of people who have the disease in a time period divided by the population at the mid-point of the period
What numbers will prevalence be between? What is the significance of each number?
Will always be between 0 and 1
Can be given as a percentage
The closer to one the larger the proportion of cases there are within the population
Why use the mid-point population when calculating period prevalence?
To account for fluctuations in population over the time period
Birth, death, migration
What are the two main categories to measuring disease frequency?
Incidence
Prevalence
Why may prevalence of a disease change overtime?
Changes in incidence
Changes in disease duration
Intervention programmes
Changing classifications
What are the two main factors that prevalence depends on?
Disease incidence
Duration
How is the prevalence of a disease found?
from cross-sectional surveys or cohort studies
How can the risk of a disease be expressed?
As a probability outcome, hazard of outcome or incidence of outcome
What are the ways to compare the effect of diseases?
Absolute measures
Relative measures
What is the difference between the absolute measures and relative measures?
Absolute risk gives the actual risk/ number of cases whereas the relative risk compares this between two groups, usually to give a ratio
What is another name for the relative risk?
Risk ratio
What is the risk ratio?
Probability that an individual will be diagnosed with outcome over the follow up period
incidence exposed/ incidence unexposed
What does NNT stand for?
Number needed to treat
Define NNT
Number of patients who must be treated to achieve one more success than an old treatment
How do you calculate NNT?
1 divided by absolute risk difference
always round up to the nearest whole number
How do you know what NNT means?
1 - new treatment is always effective
Increasing NNT indicates less effective treatment
What does it mean if NNT is less than 1?
the new treatment is worse than the old treatment
could potentially be harmful
What does NNH stand for?
Number needed to harm
the number of people who when treated results in one additional harmful outcome
How do you calculate NNH?
1/ absolute risk difference
always round down to nearest whole number
When you should you use an absolute risk over a relative risk?
If the risk of an adverse event is very small, expressing it as a relative risk could make it appear more serious and bias the perceived risk upward
Why use hazard?
A way to quantify differences in survival
May change over time - ratio of hazards will remain constant
What confidence intervals should results have?
a 95% confidence interval
Define 95% confidence interval
If you repeated the study 100 times, on 95 of those times, the point estimate would be within the confidence interval
Outline the reasons to use clinical trials
Designed to determine efficacy
Collect efficacy and safety data on drugs and devices
Are the first time new drugs are tested in patients
Are limited by a critical element
Describe phase I clinical trials
first application of new treatment in humans
generates preliminary PK/PD data
usually has 20-50 participants
usually single dose or only a few weeks of treatment
Who are phase I clinical trials usually conducted in?
healthy subjects when expected toxicity is minor
extremely ill patients if therapy is toxic
Describe phase II clinical trials
first time patients are exposed to the drugs
small study of efficacy
provides experience with treatment and administration
sample size less than 100 people
outcome is a measure of treatment efficacy
aims to find out more about PK/PD and common adverse reactions
determines daily dosage and treatment regimen to be tested more rigorously in phase III
Describe phase III clinical trials
to get a definitive assessment of intervention against a control
evaluates an intervention’s toxicity and efficacy
between 500 and 3000 patients exposed
interventions can include new drugs, devices and treatment methods
What are the advantages of a double blind trial?
Protects against information bias and neither patient or physician/ researcher knows the treatment being taken
Why use randomisation?
comparable groups with respect to measured and unmeasured risk factors
any association is either casual or the result of chance
What do the inclusion and exclusion criteria?
can affect the extent to which the results of the trial can be generalised
Which patient groups are there few trials?
Women - pregnant women
Children
Older people
People with heart disease
Alcoholics
Drug abusers
People with learning disabilities
Epileptics
How do you summarise results for a systematic review?
Descriptively
How do you summarise results for a meta-analysis?
Quantitatively - together with checks for similarity
What are the sources for a literature search?
Pubmed
Cochrane
Web of science
Trial registries
Pubmed MESH database
What does PICO stand for?
P - population
I - intervention
C - comparison any non-drug intervention, placebo, support or behavioural intervention
O - outcome
What do papers need to include for a literature review?
RCTs or non-randomised comparative trials
Specific age range
Correct criteria at the start of the intervention
What is meta analysis?
statistical methods for combining the results of a number of studies
How can results be combined for a meta analysis paper?
test heterogenity
if there is heterogenity then use a random effect meta analysis
heterogenity is often tested with Cochran’s Q test which assumes the true effect doesn’t vary between studies
Q finds if there is a significant difference between each study’s result and the fixed effect result
Q increases with increasing numbers of studies and precision
What is the random effects model with regards to meta analysis?
Adds an extra term into the weight to account for between study variability
Random effects weights are smaller and more similar to each other so smaller studies have a greater relative weight and wider confidence intervals
What are the difficulties with literature studies?
Are all relevant studies included
What about information that didn’t get published
Information has been published but not enough details
Selective reporting of one major result instead of all results
What are the advantages/ disadvantages of observational studies?
Advantages:
Non-experimental no risk to patients
Can select subjects included
Disadvantages:
No control over exposures assigned
Confounding will occur - results may be confused
What is the difference between a fixed and a dynamic cohort?
Fixed is when members of a cohort can only join at the start whereas a dynamic cohort they can join during the time period
What is incidence rate?
The number of new cases of the disease within a specific time period
Why must exposure be clearly defined?
misclassification may lead to an under- or over- estimation between exposure and outcome
What are the two types of misclassification?
Non-differential: to the same degree for all groups (under-estimate)
Differential: different between groups (under or over)
What might influence the results of a cohort study?
Age
Distribution of gender included
Other co-morbidities
Other medications
Smoking
BMI
Socioeconomic status
etc…
What should you implement at design stage of a cohort study to reduce confounding?
Randomisation
Restriction
Matching - match characteristics in the exposed and non-exposed groups so that there’s a more even distribution
Stratified/ multivariate analysis
What are the advantages/ limitations of cohort studies?
Advantages:
Efficient for rare exposures
Multiple effects can be studied
Less prone to bias
Can calculate incidence rates and relative risks
Temporal relationship easier to establish
Limitations:
Can have difficulties with loss to follow-up
May have problems with bias
Compare and contrast case-control studies and cohort studies
In case-control studies, the starting population already has the outcome disease and this is compared to a control group who don’t but are exposed whereas in a cohort study, the population starts with the risk factor/ exposure
Case-controlled studies compare cases vs controls (disease vs no disease) whereas cohort studies compare exposed vs non-exposed
Case-control studies look backwards to find exposure whereas cohort studies look forward to see outcomes
Case-control studies are better for rare diseases whereas cohort studies are better for rare exposures
Both have some degree of potential bias
What are important criteria for the control population in a case-control study?
have to not have the disease but are otherwise comparable to the cases
must be at risk of outcome but also not have the outcome under study
What are the types of bias?
Information bias: interviewer bias, misclassification of exposure, recall bias, measurement bias
Selection bias
What kind of error does bias cause in a study?
Systematic - can result in over and under-estimates
What analysis method do you use for a case-control study?
The ODDS ratio
OR = (odds of a person in group 1 having the event) / (odds of person in group 2 having the event)
= (a/c)/(b/d)
<1 = reduced risk in group 1
>1 = increases risk in group 1
=1 = no difference in groups
What are the advantages and disadvantages of case-control studys?
Advantages:
Results are available quickly and usually fairly cheaply
Good for rare diseases or those with long latent periods
Look at multiple aetiologic factors for a single disease
Disadvantages:
Inefficient for rare exposures - need to have some chance of exposure in the case and controls
Can’t calculate incidence or prevalence of disease
Difficult to establish temporal relationships
More prone to bias than cohort studies
Define confounding
The distortion of a risk estimate due to the mixture of the people in the study population
What are Hill’s aspects of association?
Strength of association
Consistency - if there is a casual association then the same association should be found in all investigations
Specificty - disease should only occur in people exposed to the suspected agent (rarely occurs more likely to have multi-causation)
Temporality - exposure must preced onset of disease
Biological gradient
Biological plausibility - should be consistent with the known biological activity of the suspected agent
Coherence - causes and effects for an association does not conflict with known natural history and biology of the disease
Experimental evidence - reproducible in animal models? Challenge/ re-challenge?
Analogy - is the association similar to other well-known associations?