Key Concepts and Design Flashcards

1
Q

Define epidemiology

A

the study of the distribution and determinants of health related states (health related outcomes) or events in specified populations

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2
Q

what is distribution made up of in epidemiology

A

count, rate, risk - how many

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3
Q

what are the determinants in epidemiology

A

chemical, biological, physical, behavioural, social - what is the cause

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4
Q

what does exposure mean in epidemiology

A

a potential cause, ie disease or genetic such as ethnicity

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5
Q

describe the steps in the process of a scientific method

A

observations
propose a hypothesis / modify a hypothesis
test hypothesis
reject or not reject

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6
Q

what happens in the continuous process of testing if you can reject the hypothesis

A

if you can’t reject the hypothesis you keep testing until you can in which case you modify the hypothesis and test a new one

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7
Q

what is evidence based medicine

A

The conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients…”

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8
Q

what are the 4 types of evidence

A

description - what happened
prediction - what will happen
casual inference - if we change X how would that change y
qualitative - what why how should

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9
Q

what are deterministic events vs probabilistic event

A

outcome determined (eg bacteria causes specific disease)

outcome based on probability eg living to 100

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10
Q

what is the difference between population research and clinical research

A

pop - focused on helping populations

clinical - focus on helping the individual

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11
Q

define these terms:
population
census
population based study

A

the universe from which a sample is drawn
if the sample is the total population
if the study population is the total population of a country or area

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12
Q

what is a case report

A

describes one case but if the event is probabilistic it can’t be used to makes inference or predictions

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13
Q

what is a case series

A

describes multiples cases of same disease to make predictions ad inferences

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14
Q

what are register based studies

A

case series in a population more likely to have similar determinants

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15
Q

what are cross sectional studies

A

study of a group at a single point in time - data can be gathered or directly measured

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16
Q

what are cohort studies

A

examine a group of people over time - present multiple results allowing a variety of hypothesis

17
Q

what are ecological studies

A

a study that examines aviations between geographic areas - the units of analysis are not individuals but areas

18
Q

what is a case control study

A

select a group with/out ideas and examine their history

19
Q

what is validity

A

does it measure accurately what it is supposed to measure

20
Q

what are the three types of validity

A

construct
content
face

21
Q

what is construct validity broken up into and what do they mean

A

convergent - are constructs that should be related eg physical functioning

discriminate - it doesn’t measure what it should eg - fear of cancer recurrence does not equal psychological stress which does not equal health related quality of life although these concepts are related

22
Q

what is content validity

A

the outcome measures all facets of a given construct eg depression outcome should include both affective and behavioural symptoms

23
Q

what is face validity

A

the outcome appears to measure what is should measure eg measuring obesity - weight, clothes sizes, BMI, waaist to height ratio

24
Q

what is reliability and its two sub types

A

consistency of the measurement

test-retest reliability - are measurements consistent over time if nothing has changed

inter-rater reliability - do different assessors give the same result

25
Q

what is responsiveness

A

the outcome should be able to detect real changes when they occur - is the outcome sensitive enough (within the population)

26
Q

what are the uses of health outcomes

A

clinical treatment / trials

identify national and international variation - promote equality

27
Q

what are some common issues with health outcomes

A

selection bias - overrepresentation of good patients in trials

timing of assessments

missing data - major issue, but unavoidable, missing at random, data imputation

response shift - value hat people attribute

differential item functioning - language, culture, country, age, gender