Population science Flashcards
define a clinical trial
any form of planned experiment which involves patients and is designed to find most appropriate treatment for future patients with a given medical condition
pruprose of a clinical trail
provide evidence of a treatment efficacy and safety
what is efficacy
measuring the effect of the treatment under perfect conditions
what is ‘safety’ in terms of the purpose of a clinical trial
not to harm the group a=under specific conditions
layout of a clinical trial
new treatment measured against the standard treatment which could be a placebo, or the standard treatment or nothing
what factors need to be considered to make the trial fair
needs to be:
reproducible
controlled (comparisons)
fair (unbiased without confounding)
what is the difference between effectiveness and efficacy
efficacy is the ideal clinical conditions
effectiveness is real world clinical experience. without the perfect clinical conditions
what are the different phases of clinical trials
phase 1- volunteer studies (pharmacodynamics and kinetics + side effects)
phase 2- treatment studies (effects, dosages and common side effects)
phase 3 - clinical trials (comparison with other treatments)
phase 4- post marketing surveilllence (monitoring with standard treatments)
what is a non-randomised trial
allocation of patients receiving a new treatment to compare with group receiving standard treatment.
problems with non-randomised clinical trials
- allocation bias
- confounding
what is comparison with historical controls
comparison of group of patients who had standard treatment with those receiving new treatment
problems with comparison with historical controls
selection is less well defined, may have been treated differently from new treatment group , less info about bias and confounders, can’t control for all confounders
explain the conduct of a randomised clinical trial (RCT)
- identify the eligible patients
- invite patients to trial
- consent patients
- allocate the treatments fairly
- follow up identically
- minimise losses to follow up
- maximise adherence to treatments
definitions of the key study variables
- the disease of interest
- the treatments to be compared
- the outcomes measured
- the possible bias and confounders
how to compare outcomes of an RCT
use the 95% confidence interval.
the observed rate ratio is used to work out the 95% confidence interval.
If p value (1) is within the confidence interval then null hypothesis is correct, if not then it is incorrect.
why we need pre-defining outcomes for an RCT
need to define how outcomes are measured before the trial to prevent data dredging (using it to uncover patterns), it is also protocol for data collection.
what is a primary outcome
the thing you want to find out from the trial. is used in the sample size calculation
what is secondary outcome
another outcome of interest
different types of outcomes (x3)
Pashto-physiological e.g tumour size
clinically defined e.g death
patient focused e.g quality of life
features of an ideal outcome
appropriate and relevent - to the patient
valid and attributable - can be linked to treatments being compared
sensitive and specific - detects changes accurately
reliable and robust - still measurable in variable settings = similar result
simple and sustainable - method can be carried out and repeated
cheap and timely - not execssively expensive measure and doesn’t have lag time
what is non-random allocation
when you allocate them to groups that aren’t random but are intended to produce similar groups. potential for selection bias and confounding factors
what is random allocation and its advantages and disadvantages
allocate participants to the treatments fairly.
minimal allocation fairly
minimal confoudning
BUT randomising numbers in small groups can result in unequal groups