Lecture 7: General Methodologies Of Study Design Flashcards

1
Q

Two types of quantitative studies

A

Interventional and observational

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2
Q

What occurs in an interventional study?

A

Researchers forces people into groups— typically by a type of randomization

Leads to increasing evidence and hopefully causation

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3
Q

What’s the basis of observational studies?

A

“Natural” study— people are NOT forced into groups.

Useful for when group allocation is unethical.

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4
Q

What is a weakness of observational studies?

A

Most are not able to prove causation

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5
Q

How do you decide which type of study to use?

A

It all depends on the RESEARCH QUESTION that you are trying to answer.

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6
Q

How are subjects chosen for certain studies?

A
Depends on:
Research question
Population of interest
Inclusion/exclusion criteria
Case/control OR exposed/unexposed groups
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7
Q

How does selection criteria impact a study?

A

Selection criteria is inclusion/exclusion criteria. It affects generalizability and external validity

EX: mental health exchangeability

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8
Q

Types of Null hypotheses

A

Superiority
Non-inferiority
Equivalency

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9
Q

Superiority question/null hypothesis

A

Question: is my drug SUPERIOR to placebo/another drug?

Null hypothesis: drug is NOT superior to placebo/another drug

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10
Q

Non-inferiority question/null hypothesis

A

Question: is my drug NOT WORSE than another drug?

Null hypothesis: drug IS worse than other drug

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11
Q

Equivalency question/null hypothesis

A

Question: is my drug equal to other drug?

Null Hypothesis: drug is NOT equal to other drug

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12
Q

What are the different types of sampling/randomization?

A
Simple random
Systematic random
Stratified simple random
Stratified disproportionate random
Multi-stage random
Cluster multi-stage random
Quasi-systematic
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13
Q

Simple random

A

Assigned numbers then randomly pick numbers

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14
Q

Systematic random

A

Assign random numbers and then randomly sort the numbers, then systematically choose desired sample

Ex: top 10, bottom 10, every 3rd, etc.

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15
Q

Stratified simple random

A

Framed by desired characteristic, then use simple random to select desired sample size

Ex: stratified by gender

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16
Q

Stratified disproportionate random

A

Disproportionately uses stratified simple random sampling when baseline pop is not as desired proportional percentages to the referent population

“Weighted” to return to baseline
Useful for over-sampling

Ex: adding/removing based on race to mimic USA population

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17
Q

Multi-stage random

A

Simple at many stages in succession

EX: random region —> random city —> random hospital —> random incident

18
Q

Cluster multi-stage random

A

ALL elements are clustered together are selected for inclusion

EX: ALL hospitals in Overland Park, ALL households in community

19
Q

Quasi-systematic

A

A NON-PROBABILITY sampling scheme

First come first served; mostly based on convenience— not really completely random

Weakness: opportunity for BIAS (selection bias)

20
Q

What is a research question?

A

“I wonder if…” statement
Helps frame your study and direct researchers to selecting and developing an effective stud design to answer the question.

21
Q

What is study design based on?

A

Hypothesis
Ability/desire of researcher to force groups (randomization)
Ethics of methodoligy
Efficacy/practicality
Costs
Validity of acquired info (internal validity)
Applicability of acquired information (external validity

22
Q

Population

A

All individuals making up a common group from which a smaller sample can be obtained, if desired

23
Q

Sample

A

“Study population”

A subset or portion of the full, complete population

24
Q

internal validity

A

methods inside study

assessments
accurate and reproduciblt

25
Q

equipoise

A

genuine confidence that an intervention may be worthwhile (risk vs. benefit) in order to use it in humans

26
Q

what are the 4 principles of bioethics?

A

autonomy, beneficence, justice, nonmaleficence

27
Q

autonomy

A

must decide for oneself to participate and have full and complete understanding of risk/benefits

28
Q

beneficence

A

to benefit, or do good for the patient (NOT society)

29
Q

justice

A

equal and fair treatment regardless of patient characteristics

30
Q

nonmaleficence

A

do no harm; researchers must not….

withhold information, provide false information, or exhibit professional incompetence

31
Q

consent

A

agreement to participate based on being fully informed and of legal consenting age
–adults age 18+

32
Q

assent

A

agreement to participate, based on being fully informed and given by mentally-capable individuals NOT able to give consent
–children and adolescents

33
Q

IRB

A

institutional review board–> ethics committee
GOAL: to protect human subjects
must be done prior to start of study

risk/benefit AND 4 ethical principles MUST be met.

34
Q

who develops IRB laws

A

the department of health and human services (DHHS)

35
Q

who enforces IRB laws

A

office of human research protections (OHRP)

36
Q

what are the different levels of IRB review

A

full board
expedited
exempt

37
Q

full board review

A

used for ALL interventional trials with more than minimal risk to patients
LOTS of review is necessary.
used when: pills given, needles used, CTs needed, etc.

38
Q

expedited

A

minimal risk and no patient identifiers

used for: surveys –> ensures no traumatic questions or extreme measures are taken

39
Q

exempt

A

no patient identifiers, low/no risk, uses existing data/specimens (de-identified)
example: crunching numbers from CDC

40
Q

who decides what level of review to use?

A

data safety and monitoring board (DSMB)

can stop study early if too much harm/too much benefit is occurring during study.