Lecture 14 Flashcards

(30 cards)

1
Q

What can group comparisons give evidence on?

A

general disease causes or treatment effectiveness

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2
Q

Limitation of group comparison

A

often fail to address the specific needs of individual patients

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3
Q

Single subject designs

A

research methodologies that apply experimental principles to study the effects of interventions on a single individual

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4
Q

What do single subject designs allow?

A

health professionals to apply research principles to their everyday practice

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5
Q

Practical benefit of single subject designs

A

helps practitioners tailor treatments based on the individual’s response, leading to personalized care

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6
Q

What are single subject designs similar to

A

quasi-experimental designs

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7
Q

How are single subject designs similar to quasi-experimental designs

A

they have control over the introduction of the treatment and the timing of the intervention

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8
Q

3 different types of n=1 designs

A

AB
ABAB
Multiple-baseline designs

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9
Q

What is the nature of study in a Single Subject Design vs. a Case Report

A

n=1: experimental (manipulates variables)
case report: descriptive (no experimental manipulation)

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10
Q

What is the purpose of a Single Subject Design vs. a Case Report

A

n=1: to test cause and effect of an intervention on an individual
case report: to describe a unique or unusual case

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11
Q

How is data collected in a Single Subject Design vs. a Case Report

A

n=1: repeated measurements (before, during, after)
case report: observational

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12
Q

What is the causality of a Single Subject Design vs. a Case Report

A

n=1: can suggest causality
case report: cannot establish causality

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13
Q

What is the design of a Single Subject Design vs. a Case Report

A

n=1: systematic, involves baseline and intervention phases
case report: narrative-based, focuses on description

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14
Q

What is and example of a Single Subject Design vs. a Case Report

A

n=1: study assessing effects of diet change on blood glucose levels
case report: case report on rare side effect of a medication

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15
Q

What is AB design used to assess

A

the effect of an intervention by comparing data
collected before (A phase) and after (B phase) the introduction of the treatment

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16
Q

AB design is simple but useful in practice for what?

A

identifying how an intervention might affect an individual’s health outcome

17
Q

ABAB design what happens to the intervention?

A

it is withdrawn and then reintroduced

18
Q

What does ABAB design allow for?

A

a stronger control of extraneous variables

19
Q

What does ABAB design help determine?

A

whether the intervention is truly responsible for changes in the dependent variable

20
Q

What is ABAB design also known as?

A

reversal design

21
Q

2 possible threats to validity of AB designs

A

maturation
history

22
Q

What do ABAB studies have stronger control over?

A

extraneous variables

23
Q

The reintroduction of baseline condition in ABAB studies helps to do what?

A

rule out extraneous variables that could have influenced the outcome during the first intervention

24
Q

The repetition of the B phase in ABAB designs adds more what?

A

evidence to support that the treatment is effective

25
In what cases are ABAB studies useful and not useful?
useful in cases where effects are reversible and not useful in cases where effects are irreversible
26
What is the goal for interpreting results of n=1 designs
the goal is often to determine whether an intervention is causally related to a beneficial outcome in a specific individual
27
n=1 designs are structured to do what?
to control for extraneous variables that could influence the outcome
28
What can n=1 relationships establish?
causal relationships between an intervention and an outcome
29
4 threats to validity of n=1 designs
natural variability placebo effect generalizability external validity
30