Tutorial 2: Use of Data Flashcards

1
Q

What percentage of people consult their general practice about their complaints

A

20%

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2
Q

How many of those patients are referred on to hospital investigation or care

A

3%

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3
Q

Define Disease

A

Defined as a condition that is diagnosed by a physician or other medical expert. Based on symptoms and signs

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4
Q

Define Illness

A

Illness is defined as the ill health the person identifies themselves with, often based on self reported mental or physical symptoms

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5
Q

Name medical factors that affect the uptake of care

A

New symptoms
Visible symptoms
Increasing severity
Duration

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6
Q

Name non-medical factors that affect the uptake of care

A
Crisis
Peer pressure
Patient beliefs
Expectations
Social class
Economic 
Psychological
Environmental
Cultural 
Ethnicity
Age
Gender
Media
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7
Q

What are the 3 main aims of epidemiology

A

Description
Explanation
Disease control

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8
Q

What is the relative risk

A

This is the measure of the strength of an association between risk factor and the disease under study
Relative risk (RR) = incidence of disease in exposed group
/incidence of disease in unexposed group

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9
Q

Name sources of epidemiological data

A
Mortality data
Hospital and clinical activity statistics
Reproductive health statistics
Infectious disease statistics
Cancer statistics
Accident statistics
General practice morbidity statistics
Health and household surveys
Labour force surveys
Social security statistics
Drug misuse databases
Expenditure data from NHS
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10
Q

What is the use of the SIGN guidelines

A

Help health and social care professionals and patients understand medical evidence and use it to make decisions about healthcare
Reduce unwarranted variations in practice and make sure patients get the best care available, no matter where they live

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11
Q

Define descriptive studies

A

Descriptive studies attempt to describe the amount and distribution of a disease in a given population

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12
Q

Define cross-sectional studies

A

Observations are made at a single point in time variables involved are disease frequency, survey, prevalence study

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13
Q

Define case control study

A

Two groups of people are compared. The group of individuals who have the disease and a control group

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14
Q

Define cohort studies

A

In cohort studies, baseline data on exposure are collected from a group of people who do not have the disease under study.

The group is then followed through time until a sufficient number have developed the disease to allow analysis.

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15
Q

What are Trials

A

Trials are experiments used to test ideas about aetiology or to evaluate interventions

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16
Q

When interpreting results what factors must be considered

A

Standardisation

Standardised Mortality Ratio

Quality of Data

Case Definition

Coding and Classification

Ascertainment

17
Q

Define Standardisation

A

A set of techniques used to remove (or adjust for) the effects of differences in age or other confounding variables, when comparing two or more populations

18
Q

Define Standardised Mortality Ratio

A

It is simply a standardised death rate converted into a ratio for easy comparison.

19
Q

What is Bias

A

Bias is any trend in the collection, analysis, interpretation, publication or review of data that can lead to conclusions that are systematically different from the truth.

20
Q

Name the types of bias

A
Selection Bias
Information Bias
Follow up Bias
Systematic Error
Publication bias
21
Q

Define Selection Bias

A

Occurs when the study sample is not truly representative of the whole study population about which conclusions are to be drawn.

22
Q

What is Information Bias

A

Arises from systematic errors in measuring exposure or disease

23
Q

What is Follow up Bias

A

Arises when one group of subjects is followed up more assiduously than another to measure disease incidence or other relevant outcome.

24
Q

What is Systematic Error

A

A form of measurement bias where there is a tendency for measurements to always fall on one side of the true value

25
Q

Publication Bias

A

Occurs where positive results have a greater chance of being published (even if the quality of the study is poorer than a similar study showing negative results)

26
Q

What are cofounding Factors

A

one which is associated independently with both the disease and with the exposure under investigation and so distorts the relationship between the exposure and disease. For example, if you are researching whether lack of exercise leads to weight gain, lack of exercise is your independent variable and weight gain is your dependent variable. Confounding variables are any other variable that also has an effect on your dependent variable.

27
Q

Describe the Criteria for Causality

A

Strength of association- As measured by relative risk or odds ratio.
Consistency-Repeated observation of an association in different populations under different circumstances.
Specificity-A single exposure leading to a single disease.
Temporality-The exposure comes before the disease.
Biological gradient-Dose-response relationship. As the exposure increases so does the risk of disease.
Biological plausibility
The association agrees with what is known about the biology of the disease.
Coherence-The association does not conflict with what is known about the biology of the disease.
Analogy
Another exposure-disease relationship exists which can act as a model for the one under investigation.
For example, it is known that certain drugs can cross the placenta and cause birth defects
- it might be possible for viruses to do the same.
Experiment
A suitably controlled experiment to prove the association as causal - very uncommon in human populations.