Study Designs Beyond RCTs Flashcards

1
Q

observational studies

A

researcher is documenting a natural occurring relationship

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2
Q

observational studies can be

A

descriptive or analytical

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3
Q

interventional studies

A

researcher actively performs an intervention in some or all participants

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4
Q

descriptive studies

A

describing data on one or more characteristics of a group
does not focus on reasons for occurrence
focus on novel/unusual signs, symptoms or events

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5
Q

analytical studies

A

tests a hypothesis and establishes causal relationships between two variables

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6
Q

prospective studies

A

the outcome has not occurred when the study starts
participants followed over a period of time

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7
Q

retrospective studies

A

the outcome has already occurred in each individual by the time they are enrolled in the study
data collected from records

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8
Q

what type of study:

investigator assigns exposure?

when they don’t?

A

yes - experimental

no - observational

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9
Q

what type of study:

if the study describes the characteristics of a sample?

A

yes - descriptive study

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10
Q

what type of study:

if the study analyzes relationship between 2 variables?

A

analytical study

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11
Q

for observational trials:

sampling determined based on outcome?

A

case control

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12
Q

for observational trials:

sampling determined based on exposure?

A

cohort

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13
Q

for observational trials:

sampling without regard to outcome/exposure?

A

cross sectional

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14
Q

which study is the first step into a new area of research?

A

descriptive studies

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15
Q

methods of collecting descriptive studies

A

surveys
cross sectional studies
observation
case report
case series

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16
Q

strengths of descriptive studies

A

quick and cheap
allows for analysis of facts, in depth understanding
both qualitative and quantitative methods

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17
Q

weaknesses of descriptive studies

A

cannot use statistical tools
observer effect
bias
cannot establish causative relationships

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18
Q

descriptive statistics

A

measures of central tendency
measures of dispersion
measures of frequency distribution
tables and charts

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19
Q

causal inference

A

drawing conclusion that a specific treatment was the cause of the effect

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20
Q

observational analytical trials only establish _______________ while interventional analytical trials only establish _________________

A

association

causation

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21
Q

case report observes ______________ while case series observes _________________

A

a single person

multiple patients

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22
Q

advantages of case report/series

A

detailed
identify undocumented rare/new diseases or adverse effects

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23
Q

disadvantages of case report/series

A

bias
no information on disease frequency
small number of patients

24
Q

cross sectional studies

A

identify prevalence of exposure/outcome at a snapshot in time
retrospective and observational

25
Q

survey research

A

cross sectional study
study the prevalence, distribution, and relationships of sociologic and psychological variables

26
Q

observational analytical studies

A

no randomization
analyze associations between exposures and outcomes by observing subjects in real world settings

27
Q

theory

A

a set of statements/principles devised to explain group of facts/phenomena

28
Q

types of analytical observational studies

A

cohort
cross sectional
case control

29
Q

case control studies

A

association between disease states and previous exposure to risk factors

30
Q

appropriate use for case control studies

A

risk factors for rare conditions
contact trace original point in outbreak

31
Q

case control studies cannot establish a

A

casual relationship

32
Q

cohort studies

A

group of subjects, initially free of study outcomes, followed over time from an exposure to one or more outcomes

33
Q

cohort studies determine association between

A

risk factors and subsequent development of disease states

34
Q

cohort studies are useful in investigation of

A

multiple outcomes after a single exposure and in study of rare exposures

35
Q

prospective cohort studies

A

subjects are followed prospectively to assess for development of disease

36
Q

advantages of prospective cohort studies

A

strongest type of observational study
evaluate temporal relationship
better control of data collection

37
Q

disadvantages of prospective cohort studies

A

cannot establish casual relationship
expensive
loss to follow up

38
Q

retrospective cohort studies

A

association of risk factors and subsequent development of disease states

39
Q

advantages of retrospective cohort studies

A

evaluate temporal relationship
quick and cheap
can calculate incidence and risk
real world evidence

40
Q

Narrative review

A

summary of evidence on specific topic, qualitative
“review articles”

41
Q

Systematic review

A

answers a defined research question
summarize data from multiple studies, qualitative

42
Q

Meta-analysis

A

statistical methods that aggregate results of multiple studies, quantitative

43
Q

Meta-analysis types

A

pair wise: compare intervention to control (direct)
network: multiple interventions, but one common (indirect)

44
Q

Publication bias

A

positive results more likely to be published

45
Q

Language bias

A

negative results less likely to be published in english

46
Q

Citation bias

A

positive results cited more frequently

47
Q

Clinical heterogeneity

A

variability in participants, interventions and outcomes

48
Q

Methodological heterogeneity

A

variability in study design, outcome measurement tools and risk of bias

49
Q

Statistical heterogeneity

A

variability in intervention effects being evaluated across different studies

50
Q

Poor overlap of confidence intervals indicates _____

A

statistical heterogeneity

51
Q

Forest Plot

A

visual of effect estimates and CIs for individual studies and meta-analyses
area of block = weight

52
Q

PRISMA statement

A

evidence-based min set of items for reporting in systemic and meta-analyses

53
Q

PRISMA Flow diagram

A

describes how investigators went from all records identified via search strategy to most relevant studies

54
Q

% of variability

A

<25% = low inconsistency
50-75% = moderate
>75% = high inconsistency

55
Q

Limitations of SLRs and meta-analyses

A

one number cannot summarize entire field
file drawer problem
important studies ignored