Midterm Flashcards
(42 cards)
Levels of Evidence (best–>worst)
meta-analyses, randomized controlled trials, cohort studies, case-control studies, case series/case reports, editorials/expert opinion
Criteria for making clinical decisions
patient’s circumstances, patient’s wishes, evidence
PICOT Question
P- patient, population, or disease
I- intervention or issue of interest
C- comparison
O- outcome
T- time frame
Prospective study
examine current conditions and follow individuals over a designated period of time
Retrospective Study
studies that examine data that have already been collected
Descriptive study
Case study, Case series, time series, surveys and questionnaires, cross sectional studies
Case Study
In-depth examination of a specific patient
Case series
follows a group of patients with a similar diagnosis or procedure over time
Time series
observation of a participant or group over multiple time instances
NHANES
National health and nutrition examination survey
Cross-sectional designs
examination of a specific point in time
Cohort studies
group of individuals with similar characteristics (diseases)
Case-Control Studies
individuals chosen for a study based on if they have a condition of interest (retrospective)
Qualitative Studies
used to understand social phenomena in natural settings.
Nominal Scale
Measures the presence or absence of something
Not Measured
Not Ordered
Not Equidistant
No Meaningful 0
Ordinal Scale
Order to data, hierarchy of meaning, sequence (ex- 1st, 2nd, 3rd place)
Not Measured
Ordered
Not Equidistant
No Meaningful 0
Interval Scale
ordinal characteristic and equal distance between data points (ex- temp)
Measured
Ordered
Equidistant
No Meaningful 0
Ratio Scale
most sensitive, interval but has a true zero (ex- height, distance, time, speed)
Measured
Ordered
Equidistant
Has Meaningful 0
Nonparametric and Parametric data scale
Nonparametric (qualitative)-
Nominal, Ordinal (discrete)
Parametric(quantitative)-
Interval, Ration (continuous)
Independent variable
variable that is influenced by the researcher and contains various levels
Dependent Variable
The outcome variable that is measured by the researcher
Descriptive Statistics
summary statistics about the main characteristics of the data collected within the study (age, mass, sex, division)
Inferential Statistics
statistics used to draw conclusions about the hypothesis
Effect size
magnitude of difference or relationship between 2 variables in a standardized way so that results can be compared (0.00-3.00)