Study design Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

what does study design allow researchers to do

A

test hypotheses

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

why is study design important

A

making sure correct and significant answers to research questions are achieved

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

quantitative

A

numerical collected data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

qualitative

A

uses collected observation and textual data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

as the pyramid of evidence increases so does

A

rigor, quality, reliability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

information becomes

A

increasingly filtered and evidence based

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

why is the tip narrow

A

there are far fewer studies which provide strong evidence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

types of study design:

A
  • case report
  • case control
  • cohort
  • RCT
  • practice guidelines
  • systematic review
  • meta analyses
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

case report

A

Case report
- Describes and evaluates individual cases, often unique cases of disease or condition
o Unexpected events that may yield useful information
o Cases where one or two subject have unexpected disease or disorders
- Often written as a detailed story
- Lowest level of evidence, but important first line of evidence
- Next step would be a case-control study- determine relationships between relevant variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

positives of case reports

A
  • Identification of new trends or diseases

- Can identify rare side effects to new drugs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

negatives of case reports

A
  • Cases may not be generalizable

- Weak evidence and not based on systematic studies

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

case-control

A
  • Retrospective study
  • Observational- no intervention is attempted
  • Compares subjects with diseases or outcome of interest with subjects free of disease
  • Looks back specific risk factors subjects have/are been exposed
  • Determines the relationship between the specific risk factor and disease
  • Used to estimate odds
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

positive of case-control

A
  • Less time needed to conduct study because outcome of interest has already occurred
  • Multiple risk factors can be looked at
  • Can establish association
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

negatives of case-control

A
  • Retrospective- relies on memory and data is exposed to recall bias- decreasing quality
  • difficult to find suitable control group
  • Won’t help find treatment
  • Involves a certain ‘guessing’ element
  • Doesn’t prove causation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

cohort studies

A
  • Prospective study
  • Contains one or more cohort (group of people with disease or outcome of interest)
  • Evaluates disease, risk factors and outcomes
  • As the study goes on, outcome of subjects in the cohorts are measured and specific characteristics are related to the outcome/ disease of interest.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

positives of cohort studies

A
  • Subjects can be matched, which limits the influence of confounding variables
  • Standardization of criteria is easy
  • Cheaper than RCT
17
Q

negatives of cohort studies

A
  • Cohorts hard to identify due to confounding variable
  • No randomisation (imbalances in patients attributes)
  • Blinding is hard
  • Time consuming
18
Q

RCTs

A
  • Gives strongest clinical evidence
  • Randomly assigns participants into an experimental or control group
  • Expected differences in outcome between control and experiment group should be in response to the intervention
  • Often used in clinical trials- since helps prove causation
19
Q

positives of RCTs

A
  • Randomisation takes away population bias
  • Easier to blind than observational studies
  • Statistical methods= easy to use
20
Q

negatives of RCTs

A
  • Expensive- time and money
  • Study population may not be representative of population as a whole
  • Drop outs are common
21
Q

practice guidelines

A
  • Outlines best current practice to aid healthcare professionals in making evidence based decisions
  • Produced by a panel of experts
  • Based on extensive review of literature
22
Q

positives of practice guidelines

A

+

  • Based on published literature
  • Supports evidence based decision for clinician
23
Q

negatives of practice guidelines

A
  • Often outdated
  • Not available for niche topics
  • Expensive and time taxing
24
Q

systematic reviews

A
  • Review of all relevant studies on a topic to answer a specific clinical/ health related question
  • Summarises findings
  • Comes to a combined conclusion
25
Q

positives of systematic reviews

A
  • Uses all literature (unpublished studies included)
  • Cheaper
  • Less time consuming than a new study
  • Means results from different studies can be generalised
  • More reliable and accurate than individual studies
26
Q

negatives of systematic reviews

A
  • Still time consuming

- Heterogeneity of studies may mean studies cannot be combine

27
Q

meta-analyses

A
  • Subset of systematic review
  • Combines qualitative and quantitative studies giving greater statistical power
  • Combines results of papers to produce forest plots
  • Establishes statistical significance of studies with conflicting results
  • Meta-analyses using RCTs alone would produce the highest-level of evidence
28
Q

positives of meta-analyses

A
  • Greater statistical power
  • Data more relevant to population due to larger/ more varied sample
  • Evidence based resource
29
Q

negatives of meta-analyses

A
  • Time consuming
  • Not all studies appropriate for inclusion
  • Heterogeneity of study populations