The Use of Data Flashcards

1
Q

define disease

A

symptoms

signs

diagnosis

biomedical perspective

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2
Q

define illness

A

ICE

patients perspective

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3
Q

incidence

A

number of new cases of a disease in a population in a specific time period

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4
Q

prevalence

A

number of people in a population with a specific disease at a single point in time or in a defined period of time

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5
Q

example of a prevalent disease

A

diabetes

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6
Q

example of an incidence of disease

A

common cold

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7
Q

equation for relative risk

A

RR = incidence of disease in exposed group

over

incidence of disease in unexposed group

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8
Q

what is relative risk?

A

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

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9
Q

name some sources of epidemiological data

A

mortality data

hospital activity Stats

cancer stats

reproductive health stats

accident stats

drug misuse databases

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10
Q

Health literacy

A

people having the knowledge, skills and understanding to use health information

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11
Q

What is a CHADS2 score a measure of?

A

stroke risk

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12
Q

SIGN guidelines can be used to:

A

stop variation in practise and make sure patients get the best care

help health care individuals understand medical evidence and make decisions on healthcare

improve health care by focusing on patient important outcomes

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13
Q

Descriptive studies

A

describe the amount and distribution of a disease in a given population

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14
Q

Analytic studies types

A

cross sectional

case control studies

cohort studies

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15
Q

cross sectional study

A

disease frequency, survey, prevalence study

observations are made at a single point in time

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16
Q

in case control studies two types of people are studied:

A

group of people who have the disease of interest are identified (cases)

group of people who don’t have it (controls)

17
Q

results of case control studies are called

A

relative risks

18
Q

cohort studies

A

baseline data on exposure are collected form a group of people who do NOT have the disease under study

the group is followed through time until a sufficient number have developed the disease

19
Q

randomised controlled trials is a definitive method of assessing

A

any new treatment in medicine

20
Q

factors to consider when interpreting results

A

standardisation

standardised mortality ratio

quality of data

case definition

coding and classification

21
Q

standardisation

A

techniques used to remove the effects of differences in age or other variables when comparing two or more populations

22
Q

standardised mortality ratio

A

standardised death rate

23
Q

4 types of bias

A

selection

information

follow up

systematic

24
Q

Criteria for casualty

A

strength of association

consistency

specificity

temporality

biological gradient

coherence

analogy

25
Q

cofounding factor

A

independently associated with the disease and with exposure under investigation so it distorts the relationship between them

26
Q

common cofounding factors

A

smoking

sex

social class