Community DH Flashcards
Cross-Sectional Study
snapshot of a population at any given time
Goal VS Objective
Goal: Outcome intended
Objective: Specific way of attaining outcome
SMART Goals
Specific
Measurable
Attainable
Relevant
Time-Based
- how to make an objective
Incidence VS Prevalence
Incidence: number of new cases in x time
Prevalence: All cases in x time
Acute disease - Incidence increases, prevalence decreases
Chronic disease - Incidence decreases, prevalence increases
Endemic
disease that occurs frequently and predictably in a population
eg. common flu
Epidemic
Unexpectedly large number of cases of disease in a particular population
Pandemic
Outbreak over a large geographical area - often worldwide
Morbidity rate
Disease rate
actual disease / # possible diseases
Mortality rate
actual deaths / #possible deaths
Deaths
Random Sampling
Every member of population has an equal chance of being selected
Lease Bias
Stratified Sampling
Population is divided into subgroups
ie. to sample all students in Canada, select 2 students from each school
Systematic Sampling
Selection of every Nth person on the list
Convenience Sampling
Selection based on convenience
ie. people that come to the grocery store today
Judgement Sampling
Selection based on familiarity with subject to researcher
Most amount of bias
Independant VS Dependant Variable
IV: Intervention of exp.
produces a response to DV
(x)
DV: outcome of experience
will change due to IV
(y)
PICO
Problem
Intervention
Comparison
Outcome
- formatting for a good question
EBDM
Evidence Based Decision Making
- does not replace clinical skills, judgement, or experience
Reliability
Same results can be reproduced
- Intraexaminer: same evaluator
- Interexaminer: Change evaluator
Validity
Research measures what its intended to
- sensitivity: identify presence of disease
- specificity: identify absence of disease
Correlation
Negative: x and y are inverted
Positive: x and y increase/decrease together
Correlation closer to 1 is stronger
- +/- 0.95 correlates more than +/- 0.02
T-Test
Compares 2 groups on variables of interest
eg. girls vs boys
ANOVA
Analysis of Variance
- compares 3+ groups for significance
Chi-Square Test
Measures difference between 2 or more qualitative data
P-Value
Probability Value
- measures whether results occur by chance when testing a hypothesis
P<0.5, results are significant
P = 0.5, occurred by change
P>0.5, results are insignificant
Skew
describes a curve thats non symmetrical
- Positive: scores gathered in lower range (Mean>Median>Mode)
- Negative: scores gathered in higher range (Mean
Standard Deviation
How much scores deviate from mean
Mean
Average
3,3,5,9,11,14,17,20,23
Mean = 11.67
Median
Middle number
3,3,5,9,11,14,17,20,23
Median = 11
Mode
Most frequent
3,3,5,9,11,14,17,20,23
Mode = 3
Range
Difference between the highest and lowest score
3,3,5,9,11,14,17,20,23
Range = 20
Dispersion
Spread of scores around the mean, median, and mode
Descriptive Statistics
observational, no manipulation
WHO is getting a disease WHERE and WHEN
Inferential Statistics
Data thats used to reach conclusions that extend beyond immediate data
- average score of 100 students is 80% therefore average of students in students in city is 80%
- making an inference based on data
Case Control Studies
use existing records to identify people with a certain problem
- compare exposure to risk factor
Case Reports
Detailed description of an event and patient profile
Cohort Studies
Any group of people who are linked and followed and observed over time
- no manipulation
Randomized Clinical Trials
Randomly assigns participants to experimental or control group
- gold standard for reliable evidence
- reduces population bias
- time and money intensive
Meta - Analysis
Highest statistical power
- comprehensive review of all relevant studies of a particular topic
- total subjects treated as one large population