Data- Year 2 Flashcards
Define the following:
- Incidence
- Prevalence
- Relative risk
- Epidemiology
Incidence: number of new cases of a disease in a population in a specified period of time
Prevalence: number of people in a population with a specific disease at a single point in time or in a defined period of time
Relative risk: measure of the strength of an association between suspected risk factor and the disease under study
Epidemiology: the branch of medicine which deals with the incidence, distribution, and possible control of diseases and other factors relating to health.
What are the different sources of epidemiological data?
- Mortality data
- Hospital activity statistics
- Reproductive health statistics
- Cancer statistics
- Accident statistics
- General practice morbidity
- Health and household surveys
- Social security statistics
- Drug misuse databases
- Expenditure data from NHS
Name the different type of studies?
- Descriptive study
- Analytical study
- Cohort study
- Trials
What is a descriptive study?
- Describe amount and distribution of disease in a given population
- No definitive conclusions, does clue risk factors and aetiology
- Cheap, quick, overview
What is an analytical study?
- Cross sectional (disease frequency/survey): observations in a point in time
- Case Control: comparison of 2 groups (cases/controls)
- Quick results
- In case controlled studies; two groups are compared; a group of individuals who have the disease (cases) of interest are identified and group of individuals who do not have the disease (controls)
- Data is gathered on each individual to determine whether or not they have been exposed to aetiological factor and average exposure is compared.
What is a cohort study?
- Baseline data on a group, then followed until disease developed in sufficient numbers to allow analysis
What is a trial?
- Test ideas about aetiology or evaluate interventions
- “Randomised controlled trial”: varying intervention on patients and analysis of results
What are the different types of bais?
- Selection bias: sample is not representative of whole study population
- Information bias: Systematic errors in measuring exposure/disease e.g. researcher knowing “case”vs“control”, and working harder on “case”
- Follow up bias: one group of subjects is followed up more assiduously
- Systematic error: measurement bias where measurements tend to fall on one side of the truth e.g. machine calibrated incorrectly, poorly written survey
Causality?
- Temporality: exposure comes before disease [only absolute criterion]
- Strength of association: relative risk ratio
- Consistency: repeated observation of association in differing populations
- Specificity: single exposure leads to single disease
- Biological gradient: dose response relationship i.e. exposure UP = risk UP
- Biological plausibility: association agrees with biology of disease
- Coherence: association does not conflict with biology of disease
- Analogy: another relationship exists that can be used as a model for current
- Experiment: suitably controlled experiment to prove association as causal(uncommon in human populations)
What is the process of a clinical NHS audit?
- Identify problem or issue
- Set criteria and standards
- Observe practice/ data collection
- Compare performance with criteria and standards
- Implement change