RESS - Lectures Flashcards

1
Q

Define Health Equity

A

Differences in QUALITY of healthcare in different populations

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2
Q

Define Health Inequality

A

Differences in SOCIO-ECONOMIC standards in relation to an outcome

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3
Q

Descriptive Epidemiology

A

Looks at time, place and person

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4
Q

Analytical Epidemiology

A

Looks at the cause of the illness

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5
Q

Describe the Scientific Method

A

Observation –> Hypothesis –> Test Hypothesis –> Reject (modify hypothesis) OR Not reject (Test again)

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6
Q

Define Hypothesis

A

A testable statement that describes and observation

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7
Q

Theory

A

A well confirmed explanation of nature that can however still be falsified

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8
Q

What features must a hypothesis have?

A

Has to be falsifiable

YOU CAN FALSIFY A HYPOTHESIS BUT CAN’T PROVE ITS TRUE

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9
Q

How do you confirm a hypothesis?

A

By rejecting the null hypothesis

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10
Q

What is a null hypothesis?

A

The opposite of the hypothesis

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11
Q

What is a type 1 error?

A

Incorrectly rejecting a true null hypothesis (False Positive)

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12
Q

What is a type 2 error?

A

Incorrectly accepting a false null hypothesis (False Negative)

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13
Q

What is a health outcome?

A

What results from an intervention

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14
Q

Examples of record based health outcomes

A

Mortality and disease incidence

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15
Q

Examples of biological and clinical based health outcomes

A

Lab tests, BMI, blood pressure and body temp

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16
Q

Examples of clinician and patient reported outcomes

A

Health related quality of life, global ratings and symptom scores

17
Q

What is validity

A

Accurately measures an outcome
(i.e. you wouldn’t use a thermometer to measure length of a table) or using BMI rather than weight as a measure of obesity

18
Q

What is reliability (Test - retest and Inter rater)

A

If you did it again you would get the same outcome
Test - retest: Same result if done twice
Inter-rater: If someone else did it they would get the same result

19
Q

What is responsiveness

A

Can detect real changes when they occur

e.g. continuous QoL scale rather than categorical

20
Q

What type of data can you apply stats to?

A

Interval / continuous

21
Q

What are minimum clinically important differences?

A

PATIENT DERIVED scores that reflect changes from a clinical intervention that are meaningful for the patient

22
Q

What do QALYS measure

A

Quality and length of life

1 QALY = 1 year of life at full health

23
Q

Equation for QALYS

A

Utility value x Survival data = QALY