The Use of Data Flashcards

1
Q

What percentage of people with an illness at any given time go to the doctors? And how many of them are referred?

A

20% go to doctors

3% of them get referred

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2
Q

What is disease?

A

Bio-medical perspective of symptoms and signs ultimately leading to a diagnosis

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3
Q

What is illness?

A

The patient’s perspective of their disease and the way it affects them

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4
Q

What factors affect uptake of case

A

Sources of information - peers, family, internet, TV
Medical factors - new symptoms, increasing severity, duration
Non-medical factors - peer pressure, beliefs, expectations, cultural

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5
Q

List some sources of epidemiological data

A
Mortality data
Hospital activity stats
Reproductive health stats
Cancer stats
Accident stats
Drug misuse databases
Expenditure reports from the NHS
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6
Q

What are SIGN guidelines?

A

There to:

Help healthcare professions and patients understand medical evidence and use it to make informed decisions

Reduce unwarranted variations in practice

Improve healthcare

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7
Q

What are descriptive studies?

A

Attempt to describe the amount and distribution of a disease in a given population.

Does not provide definitive solutions about causation

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8
Q

What are the benefits and drawbacks of descriptive studies?

A

Benefits - quick and cheap

Drawbacks - Do not provide definitive solutions about causation of a disease (can however give clues about possible aetiologies and risk factors)

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9
Q

What are the three types of analytic studies?

A

Cross-sectional, case control and cohort studies

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10
Q

What are cross-sectional studies?

A

Observations made from a single point in time and show disease frequency/survey or prevalence

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11
Q

What are case controlled studies?

A

Two groups of people are compared; a group that have the disease (cases) and a group who don’t (controls)

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12
Q

What are cohort studies?

A

Baseline data on exposure is collected from a group that does not have the disease under study and then this data is compared to a group of people who do have the disease to allow analysis

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13
Q

What are trials?

A

Experiments used to test the ideas about aetiology or to evaluate interventions

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14
Q

What type of trial is the definitive method for assessing any new treatment in medicine?

A

Randomised controlled trial

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15
Q

What factors are there to consider in the interpretation of data from trials?

A
  • Standardisation (statistical technique to remove differences in age or other confounding factors e.g. standardised mortality ratio)
  • Quality of data
  • Case definition (make sure the terminology refers to the same thing)
  • Ascertainment (is the data complete)
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16
Q

What are the four types of bias?

A

Selection, information, follow-up or systematic

17
Q

What is selection bias?

A

Sample is not truly representative of population

18
Q

What information bias?

A

Errors in measurement of data

19
Q

What is follow up bias?

A

Arises where one group happens to be more diligent in sending back data and this effects the conclusions of the test

20
Q

What is systematic bias?

A

A trend where measuring the results consistently falls on one side of the true measurement due to some implicit oversight

21
Q

What are confounding factors?

A

A cofounding variable influences both the dependent and the independent variable causing a spurious association

22
Q

What are the criteria for causality?

A
Strength of association 
Consistency 
Specificity 
Temporality 
Biological affect (dose-response relationship) 
Coherence 
Analogy 
Experimentation
23
Q

What is relative risk?

A

The measure of the strength of an association between a suspected risk factor and the disease under study

24
Q

How do you calculate relative risk?

A

Relative risk = Incidence of disease in exposed group / Incidence of disease in unexposed group