Evidence Based Quiz #1 Flashcards

1
Q

3 elements into decision making process

A

best available research
clinical expertise
needs and values of the individual patient

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2
Q

original research

A
intro/background
specific aims/purpose
methods
results
discussion
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3
Q

clinical tools

A
developing an answerable clinical question
search for the best evidence
appraise the evidence
application of the best evidence
evaluate the outcomes
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4
Q

what is research

-2 essential components of research

A

finding answers to questions in a logical, orderly & systematic fashion
-systematic nature
specific question must be clearly identified

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5
Q

sources of info

A

tradition (myth?)
experience or authority
logic/reasoning/theory
research

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6
Q

purpose of research

A

advances the body of knowledge
helps others
-navigate truth claims
-with their health

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7
Q

boolean operators

A

AND, OR and NOT

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8
Q

MeSH

A

medical subject headings

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9
Q

types of studies

A

quantitative

qualitative

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10
Q

levels of research evidence

A
1A = systematic review of randomized controlled trials (RCTs)
1B = RCTs with narrow confidence interval
1C = all or none case series
2A = systematic review cohort studies
2B = cohort study/low quality RCT
2C = outcomes research
3A = systematic review of case-controlled studies
3B = case-controlled study
4 = case series, poor cohort case controlled
5 = expert opinion
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11
Q

primary studies

-what does each examine

A
case-control study
-asks about past exposures
cross-sectional study
-asks about current status
cohort study
experimental
-both examine future outcomes
-participants must be followed forward from a baseline exam
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12
Q

case series

A

select participants based on disease status

no comparison group

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13
Q

cross-sectional study

A

select participants who represent a population

one point in time

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14
Q

case-control study

A

select participants based on disease status

comparison group

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15
Q

cohort study

A

select participants based on exposure status
select participants who represent a population
-multiple points in time
-observe exposure

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16
Q

experimental study

A

select participants who represent a population

  • multiple points in time
  • assign exposure
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17
Q

4 types of questions

A

descriptive
difference
relationship
prediction

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18
Q

descriptive question

A

seeks to describe phenomena/characteristics of one group of participants/data

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19
Q

relationship question

A

examines the degree to which two or more variables are associated with each other

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20
Q

difference

A

seeks to make comparisons between or within groups of interest

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21
Q

prediction

A

seeks to make predictions for one variable based on one or more other variables

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22
Q

critical review scales

A

PEDro Scale
Oxford CEBM
-PICO
-RCT Appraisal sheet

23
Q

components of a good intro/background

A

well written story
know your audience
facts/claims must be cited
A. clearly answers question “why is this topic important/relevant”
B. summarizes relevant literature and makes it understandable
-clearly leads from point 1 –> point 2
-points out a gap in current knowledge
C. leads to climax (purpose aka problem statement)

24
Q

purpose statement

A

takes place after extensive review of literature
specific statement which clearly identifies the problem being studied
-identify the type of question
-identify the key variables
-provide some info about the scope of the study
-may be in either question or declarative form

25
specific aims
stem from purpose each of these specific aims should take the form of a measurable question or a "to" statement -each should represent a logical step toward answering the main study question
26
delimitations
``` define the scope/set the boundaries of the study normally under control of the researcher examples -number and kinds of subjects -treatment conditions -tests, measures, instruments used -type of equipment -location, environmental setting -type of training (time and duration) ```
27
limitations
focus on potential weakness of the study | possible shortcomings of the study... usually cannot be controlled by the researcher
28
assumptions
while we don't want to assume basic, fundamental conditions that must exist in order for the research to proceed assumptions about -motivation of subjects -whether subjects responded truthfully -validity of the measuring instrument -whether subjects fooolowed directions correctly
29
variables
characteristic, trait, or attribute of a person or thing that can be classified or measured - attitude - gender - heart rate - hair color
30
independent vs. dependent variable
independent -manipulated by researcher dependent -recorded by researcher
31
extraneous variable
aka confounding variable 3rd variable that may affect the relationship between the IV and the DV researcher should control or eliminate EV as much as possible
32
methods and the big picture
``` intro/background methods -participants -data collection --step by step --give validity/reliability/references for selected techniques -data processing -data analysis (aka stats) results discussion ```
33
participants | -questions to answer
are the research participants representative of the population of interest are the research participants appropriate for the research question -what are characteristics of participants how many research participants should be used
34
participants: sampling
population - refers to an entire group | sample - a small subgroup of a population of interest thought to be representative of that population
35
sampling techniques
define population first, then | probability vs. non-probability sampling
36
probability sampling
probability of selecting each participant is known | utilizes "random" processes, but does not guarantee the sample is representative of population
37
probability sampling examples
simple random sampling -each person has an equal chance of being selected systematic sampling -after a random start point, every nth person is selected -stratified sampling -simple random samples selected from each of several strata cluster sampling -an area is divided into geographic clusters and some clusters are selected for inclusion
38
non-probability sampling
samples are not selected at random -difficult to claim sample is representative of population often utilizes intact groups or volunteers -purposive sampling --researcher selects participants who best meet the purpose of the study -convenience sampling
39
random processes
random selection -enables researcher to generalize results to a larger population random assignment/allocation -enables researcher to assume that groups are "equivalent" at the beginning of the study -has nothing to do with the selection of the sample
40
practical notes
certain types of research must have a representative sample -descriptive, epidemiological studies, correlational other research can get away with a less representative sample -experimental studies almost all research uses volunteer participants
41
participants | -questions to answer
are the research participants representative of the population of interest are the research participants appropriate for the research question -what are characteristics of participants how many research participants should be used
42
sample size
sample size doesn't negate/override sampling errors or biases point to consider regarding sample size -nature of the study -number of treatment groups -statistical considerations and variability -practical factors (resources, time)
43
power
``` type 1 error -find difference in study that isn't real -limit alpha <0.05 type 2 error -fail to find true difference -set beta at least 80% ```
44
external vs. interval validity
the degree to which the findings can be inferred to the population of interest or to other populations or settings -the generalizability of the results the validity of findings with the research study/ the technical soundness of a study, particularly concerned with the control of extraneous influences that might effect the outcome
45
threats to internal validity
extraneous variables changes over time (e.g. specimen maturation, participant fatigue) -incomplete washout in cross-over treatment learning effect of test-retest designs -instrumentation -selection bias -experimental mortality - loss of participants from comparison groups due to non-random reasons -interactions among factors -difference between controlled lab setting and real-world
46
sources of error
hawthorne effect -people act differently when they are being watched placebo -people respond positively to fake treatment John Henry -people are measuring this, so I should try harder rating effect/error (halo effect) -we have an innate preference toward pretty people (can be elite athletes) -they will score better on semi-objective measures experimenter bias -I think A is better than B, so I rank A as better than B
47
nominal
classifies objects in accordance with similarities and differences with respect to some property no hierarchy of scores
48
ordinal
type of data that is characterized by the ability to rank order on the basis of an underlying continuum no common unit of measurement
49
interval
data having equal distances between score units, but having an arbitrary zero point
50
ratio
possess same properties of interval data, but as a true zero point
51
range
lowest score - highest score + 1
52
organizing and graphing scores
``` frequency distributions -simple frequency distribution -group frequency distribution graphing techniques -histogram -frequency polygon normal curve -bell-shaped curve -skewed distribution ```
53
simple frequency distribution
easiest way to organize the data is in a frequency distribution
54
histogram
may be easier to interpret or view the data in a frequency distribution by forming a histogram