ATC 420 - Research Designs

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68 Terms

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validity

accuracy

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reliability

repeatability

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validity and reliability

study can be valid but not reliable

VICE VERSA

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generalizability

large enough sample so results can apply to broader/more general population

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5 steps of evidence based practice

1. ask

2. acquire

3. appraise

4. apply

5. audit

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ask

convert information need into an answerable clinical question

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acquire

to obtain

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appraise

critically appraise the evidence for validity, impact, and applicability

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apply

integrate the evidence into your clinical decision making

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audit

evaluate steps 1-4 and seeks ways to improve

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scientific method

1. make observation

2. review of literature

3 state problem

4. ID variables

5. hypothesis

6. research design

7. IRB approval

8. collect data

9 statistic analysis

10. conclusions

11. apply findings

12. assess application

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ID variables

independent

dependent

control

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independent variable

manipulated in experiment

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dependent variable

outcome on manipulated variable

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control variable

the equalizer and delimitation

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IRB approval

institutional review board approval

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null hypothesis

statement of no difference

A = B in study (statistical)

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alternate hypothesis

statement predicting what will happen

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qualitative research designs

1. case report

2. case series

3. cross sectional

4. case-control

5. cohort studies

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qualitative

"why"

observation, words, symbols, etc.

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quantitative

"how many/much"

always a number result

measurable and testable

statistical analysis

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mixed methods

combination of qualitative and quantitative

take quantitative date and ask qualitative questions

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non-experimental

no comparison group

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quasi-experimental

control group to be compared

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experimental

measures outcomes for both groups

explicit comparison group

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relationship

correlation

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cause and effect

t test

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prevalence

frequency (observation)

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compare

pre vs post

A vs B

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regression analysis

predict

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randomization

increases level of evidence

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recall/memory

decreases level of evidence

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large n

larger population is better for study

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clinical research

may be unethical (placebo)

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weakness of research designs

subjects representative of whole target population

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qualitative factors

no cause and effect

no randomization

no equal start

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quantitative research designs

1. simple RCT

2. between subject RCT

3. between subject pre-post RCT

4. within subject RCT

5. within subject pre-post RCT

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levels of evidence

the LOWER the number the BETTER the quality of evidence

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bench/expert

neither qualitative or quantitative

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bench

lab study done on animals or cells

(unreliable since not done on humans)

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expert

presentation from an specialist in the field

(no study, just facts from an expert, neglects conflict of interest)

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case report

observational

qualitative

one subject

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case series

case report with more people

qualitative

no control group (everyone receives manipulated variable)

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cross sectional

observational

qualitative

to understand prevalence

snapshot of a particular period of time

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case-control

observational

qualitative

outcome is already known

compares subjects with and without (control group)

looks in past

relies on recall/memory

confounding variables not considered

ONLY QUALITATIVE WITH CONTROL GROUP

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cohort studies

prospective and retrospective

observational

qualitative

may rely on recall/memory

difficult to populate

needs larger subject size

confounding variables not considered

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prospective cohort

observes a population and what things influence outcomes

(conducted presently and looking at future)

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retrospective cohort

takes a group and sees if there are any trends from the past that would cause ______

(conducted after and looks into the past)

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simple RCT

experimental research design

quantitative

researchers manipulate independent and observe dependent

control group vs treatment group

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simple RCT disadvantages

clinically preventing someone from getting something they need

OR

giving something that results in bad outcomes

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improve simple RCT

add a control group as a baseline

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between subject RCT

compares control vs experiment group

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between subject pre-post RCT

testing before and after manipulation

pre acts as control (baseline)

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between subject threats

boredom

crossover

fatigue

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within subject RCT

subject is being compared to oneself

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within subject pre-post RCT

crossover study

everyone serves as own control group

washout period

both groups doing the same thing

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within subject threats

order effect (learning effect and randomization)

clinically have to give something up thats potentially working to do the other part of study

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any learning

cannot be unlearned

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meta-anaylsis

makes any research design stronger

(one step up)

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strongest research design

meta-analysis of RCT

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research design order

knowt flashcard image
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FINER

Feasible

Interesting

Novel

Ethical

Relevant

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feasible

possible, able to be done

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interesting

for researcher to study/to read

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novel

new and different

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ethical

morally right

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relevant

important or pertinent

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p levels

statistical significance

sound be set to <0.05 (95%)

probability results would occur if null hypothesis is true