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the two types of sampling are probability and nonprobability based
what are the 4 types of probability based sampling that exist?
simple random
systematicc
stratified
cluster
why is sampling important?
reduces selection bias
allows for statistical inference
improve validity of finidngs
essential for public health deciisons
ensures representativeness
Which selection biases are listed below?
selection process favors individuals with characteristics that are not representative of the population as a whole
There is a systematic difference between participants in the exposed vs unexposed groups
characteristics of responders and non-responders differ
some individuals lost to follow of differ from those that were not lost to follow up with respect to the exposure and outcome
prevelance-incidence bias
allocation bias
nonresponse bias
loss to followup bias
information bias is the disortion in the measure of ASSOCIATION caused by a lack of accurate measurements of key study variables
what are the 4 types of information bias?
recall - more likely to remember exposure if it had a significant outcome
observer- investigator’s prior knowledge of subjects disease status and treatment leads to asking questions or assessing the subject differently
interviewer- interviewer asks questions to confirm past beliefs
detection- differences between groups in how outcomes are determined
cros sectional studies where it cannot be determined if exposure proceded dissease since both are acertained at the ame time
antecendent consequent bias
cant tell if if patient was given Aspirin FOR CV risk or if they obtained CV risk for being on lisinopril
what are strengths of cross sectional studies?
identifies relationships between variables
multiple outcomes and exposure can be studied
can be used as a preliminary step before further research
convenient way to collect large amounts of data
inexpensive
no ethical difficulties
what are weaknesses of cros-sectional studies ?
cannot infer causality (but you can estimate prevalance DOESNT NECESARILY MEAN ONE IS CAUSED BY THE OTHER BUT IT IS A PATTERN)
unable to measure incidence (how many people have recently gotten the outcome from a specific time frame)
require large sample size for accuracy (can be a stregth as well IF YOU HAVE ENOUGH PEOPLE)
may not inclyde all the relevant groups of a populaton
makes it dofficult to interpret identified relationships
not suitable for long term trends
A cross sectional study found that many individuals with low cardiovascular risk were using aspirin. What might this suggest about the use of aspirin in the general population?
1. The use of aspirin in individuals with low cardiovascular risk suggests possible
overuse
2. Aspirin is only being used by those with a confirmed need for secondary
prevention.
3. Low-risk individuals benefit more from aspirin than high-risk individuals.
4. Aspirin has no side effects, so it is safe for everyone to use regardless of risk level.
1
a cross sectional study based on a questionanire/survey may have kewed results due to _____ bias
a. recall
b. interviewer
c. observer
d. selection
which study gives a snapshot of the frequency of diease or other health related characteristics in a population at any given point in time?
cross sectional study
cross sectional studies are observational studies that answer questions about ________ or _______________ of a condition, _____, or ________
incidence or prevelance of a condition, belief, or situation
proportion of persons in a population who have a partiuclar disease or attribute at a given time regardless of when they first developed the disease
prevelance
number of new cases that develop in a given period of time
incidence
how to calculate prevelance (amount of people exposed over a period of time)?
exposed with disease / total exposed divided by not exposed with disease / total not exposed
measure of how strongly an event is associated with exposure
an Odds Ratio of _____ means there is no association between exposure and outcome
1 NOT zero
how do you find odds ratio?
AD/BC
A= diseased and exposed
D= no disease and not exposed
B= no disease and exposed
C= disease and not exposed
odds of exposure and disease = A/B
odds of nonexposure and disease = C/D
A/B / C/D = AD/BC for odds ratio
Which type of cross-sectional study is used to
characterize and assess the prevalence and distribution of one or many health outcomes in a defined population
access how frequently, widely, or severely a specific variable occurs throughout a specific demographic
MOST COMMON TYPE OF CROSS-SECTIONAL STUDY
evaluates the proportion of a population with disease or with risk factors for disease
used to ESTIMATE the occurrence of risk factors in segments of the population characterized by age, sex, race or socioeconomic status
DESCRIPTIVE cross sectional study (observing characteristics-
which cross sectional study is used to
collect data for exposure and outcomes at one specific time to measure an association between an exposure and a condition with a defined population
investigate an association between two parameters
tries to answer HOW or WHY a certain outcomems might occur
useful for establishing preliminary evidence for a casual relationship
ANALYTICAL (association and outcome vs exposure)
what are the three types of observational studies
cohort (expose—> see outcome)
case control (outcome —> identify what was common exposure)
cross sectional (outcome @ exposure)
_________ studies focus on one outcome but multiple exposusures
_________studies focus on one exposure but multiple outcomes
case-control = one outcome (disease) look back at exposure (what caused said disease)- retrospecitve
cohort= introduce one exposure see what outcomes arise from it (prospective)
true/false: case-control studies are ALWAYS retrospective
true
where do you find the information for case-control studies?
primary data or existing data
questionaires (may have recall bias)
Electronic health records or automated databases
case-control vs cohort?
when do you obtain odds ratio vs relative risk ratio?
which is prospective vs which is retrosspective?
which uses information from primary data existing data?
cohort =
relative risk ratio
prospective AND retrospective
case-control =
odds ratio
ALWAYS retrospective
for case-control studies are incidence cases or prevelance cases preffered and why?
incidence because you have better recall of the exposure to a new disease than one that has been present
what are the controls for case-control studies?
are case-control enrollement always 1:1 ?
patients from the same source population as the patients with cases
ex. case= patient with MI control = patient w/o MI from same population
NO can also be 1:5
A __________ can be conceptualized as a more effecient version version of a cooresponding ________ study when OUTCOME IS RARE
case-control > cohort when outcome is rare
why can’t you determine the absolute relative risk of case-control studies?
you can have different proportions of case:control which will change the absolute relative risk lacking consistency
Pros of case control study
ideal for rare outcomes or outcomes with a long lag time
fewer patients needed (good when chart review is needed)
quick and innexpensive
Cons of case-control study
cannot estimate incidence (except nested case control)
cofounders
selection of controls is difficult
reliance on recall or records to determine exposure status
Pros of Cohort studies
conceptually simmilar to randomized control trial
can study multiple outcomes
exposure is assessed before outcome (no potential for recall bias)
less potential for bias
absolute risks can be estimated
cons of cohort studies
less effecient for rare outcomes (especially prospective cohorts)
Requirements of Case-Control studies
define the source ________from where cases and controls will be selected
define exposure, __________, and outcomes of interest
identify cases (diseased individuals) and controls (typically ____ or ______ ratios —- and determine exposure status)
Calculate _____ RATIO
population
confounders
1:4 or 1:5 ratio of case vs control
ODDS (case with exposure/ no case with exposure) / (case without exposure / no case without exposure)
cons of randomized control trials:
unable to do blinding
study population not generalizable
underpowered
short follow up
measurement errors
poor compliance
randomization can fail
which experiemental study seeks to determine
how does the drug preform in an ideal situation = efficacy
vs
how does the drug preform in the real world = effectiveness
ideal situation = efficacy = RANDOMIZED
real world = effectiveness = nonrandomized
what are the 3 descriptive observational studies?
case-series
case reports
ecological
what is the biggest threat to observational studies?
lack of randomization- due to unmeasured confounding
while randomized control trials can balance both observed and unobserved characterstics
blinding is not possible
What is a cohort?
come from latin word “carhors” which is a _________
what is a cohort in terms of medical studies?
military unit (well defined group)
drug-based inclusion criteria
what is the difference between retrospective and prospective cohort studies?
porspective cohort studies involve following up on patients after completing a questionairee or telephone interview to see which outcomes they have developed after a specifice period of time (limitation= very costly to follow up)
retrospective cohort studies involve looking at previously recorded datea such as electronic health factors and seeing which outcomes have resulted from a certain exposure (limitation= you only have the outcomes that are provided in the database)
the exposed and unexposed group are selected from different populations or the way they are selected differs and creates unbalanced comparison groups
_____ bias is also a type of ______bias
selection bias
attrition bias is also a type of selection bias
which bias may be present in this scenario:
study compares GI risk of aspin vs naprozen
asprin users - identified from sales record at a local pharmacy
naproxen users= identified from medical records from a pain clinic
selection
what is the number 1 threat to internal validity in observational studies?
confounding
is the confounding factor associated with both the exposure AND the outcome?
yes BUT not everyone with the exposure has the confounding factor so it is not an intermediate
what are 3 ways to control confounding in observational studies?
restriction - limit analysis to patients without history of CV events
stratification - seperately conduct analysis for patient by exersize levels (confounder)
multivariate - adjut for pertinent confounders in regression model
what are two examples of way that compounding can manifest in an observational study?
confounding by indication and severity
what i the difference in fofrmula of risk ratio and odds ratio?
risk ratio = (case/exposed / case/nonexposed)
odds ratio = (AD/BC)
when woud you use adjusted relative risk in a cohort study?
if the relative risk may be due to counfounders.
it may appear that the risk of an outcome is due to the exposure of a drug, but there may be underlying factors such as the gender of the the patients that may decrease the outcome, which you should keep in mind before assuming it is the drug that is decreasing exposure
if there are multiple factor that can decrease the exposure make sure to acknowledge them through MULTIVARIATE regresion modles
what are examples of claims and EHR data that may be used in retrospective cohort studies?
claims = medicare, medicaid, BCBS (billing data from pharmacies, physicians, hospitals)
EHR data= CPRD, RWJH (EPIC data)
form of mutlivariate adjustment that can summarize contribution of risk factors to probability of exposure NOT considering outcome
propensity score
Cohort Study Summary:
choice of ________ group can help a lot with confounding
any method (restriction, stratification, multivariate adjustment) is only has good as the measurement of the _________
UNMEASURED ____________ can pose problems (healthy user effect)
If you are concerned that ________were not properly addressed, think about the expected effect on the association
comparion
counfounder
confounder
confounder
Cohort Study Summary Continued:
first choose between _______ and ______
define _____ of interest and active ________
define _____ and _______ criteria to prevent cofounders
define study start and end of follow up
operationalze exposure and __________, define ______
estimate _________ score (and match)
estimate _____ and ___________ ______________ ( )
retrospective vs prospective
define drug of interest and active comparator (CONTROL- instead of no treatment)
inclusion and exclusion criteria
cofounders define outcomes
propensity
incidence and adjusted rate (cox proportional hazard model)
SYSTEMATIC REVIEW:
advantages:
limit _________
improve ______ of results
yield new ___________ about subgroups of the populations
develop reliable and accurate conclusions
disadvantages:
_________ and selection of _____
_______ of publication
loss of information on important ______
___________ of populaitons studied
advantages:
limit bias
consistency
hypothesis
disadvantages:
location and selection of studies
duplication
outcomes
heterogeneity
steps of a systematic review:
select topic
conceptualize and create protocol
search for ________________
___________ ________
___________ ________
______ data
_______ and _____ ______
seach for studies
screen studies
apraise studies
abstract data
synthesize and interpret results
what are the 3 components of a meta analysis?
combinaiton
estimation
standardization
what are components that are shared between meta analysis and randomized control trials?
predefined methods to evaluate a hypothesis
incluion/excluion criteria
predefined statistics
presentation and discussion of findings
what are the 6 steps to preforming a meta-analysis?
define the question
determine methodology
search strategy
data abstraction
data analysis
knowledge synthesis
whcih graph is used for meta analysises to allow readers to quickly:
See the individual effects of included studies
Evaluate the strength and precision of each estimate (weighted)
Understand the pooled result and its precision (diomand = pooled)
Judge heterogeneity visually
forest plot
META ANALYSIS:
advantages:
high _____ _______
______ data analysis
_____ validity increased
top tier _________-based resource
disadvantages:
study ________ can be cumbersome
inadequate//inconsistent ______ between studies
advanced statistical technique required
________ of populations studied
advantage:
high statistical power
confirmatory
external
evidence
disadvantages:
identification
data
heterogeniety
meta analysis allows researchesrs to increase ______ _____ and quantitatively ______the available literature
increase sample size
evaluate
what is I² ?
measure of heterogeniety
if I² less than or equal to 25% then homogenous
or fixed effect model (studies are very simmilar, differences only occur in sampling)
if I² greater than or equal to 75 percent then heterogenous or random effect modle (studies have differences)
what is publication bias?
publication with positive results are more likely to be published then those with negative results
check using funnel blot for symetry to see if studies were used that have differing results using EGGERs weighted statistic
what are the components of the data analysis of meta analysis?
evaluate heterogeniety
select meta- analytic model (PRISMA or Prospera)
compute outcome measures
what are the components of PRISMA which is used to determine methodology of meta analyises?
Identification (where did you get your sources)
Screening (get rid of duplications)
Eligibility (exclusion/ inclusion - evaluate quality)
Inclusion (which sources involved in analysis!)
I See Every Item
what are the componenets of data extraction?
evaulate quality of study
collect and extract data
pool data
what is the hierchy of research and scientific evidence
systematic review and meta analysis
randomized control trial
non-randomized control trial (quasi or pre-post intervention study)
observational studies (case control vs.cohort)
qualitative studies
what are the 6 types of quasi experiments (non randomized experiemental trials) ?
pretest-posttest
non-equivalent control group
time series
interrupted time series/multiple time series
regression discontinuity
retrospective ex-post facto
what is the difference between the following quasi experiements?
pre-test/post-test
nonquivalent control
time series
interupted time series/ multiple time series
regresion discontinuity
retrospective ex-post facto
record obervation before and after
nonrandom assignment of participants that recieve exposure and control that does not recieve exposure
many observations taken on the same variable consecutively over time
many observations taken before exposure and after exposure
determine casual effects by asigning threshold
cause- and effect relationsjopns through RETROSPECTIVE search
when and why you would ue a quasi-experimental design?
clasic study designs are not _____ or _____
if the investigator cannot implement a ____ group or _____ the study groups
small/large sample size
inadequate _______
feasible or ethical
if you CANT implement contol group or randomize the study groups
small sample size
funding
internal validity examines the extent to which _____ _____ (____) is present
systematic error (bias)
_______ validity is limited in short-term studies of patients who need to be treated for months to years
external
which is decribing DUR (Drug Utilization Review) vs which is describing MUE?
ongoing, systematic criteria based, drug or disease specific assesment that ensures appropriate medication utilization at the individual patient level
emphasis on improving patient outcomes and quality of life through assesment of clinical outcomes via a multidiciplinary approoach
individual patient = DUR
overall - MUE
preformance imrpovement method used to optimize patient or system moutcomes
medication use evaluation
who are the MUE team members?
core team members (pharmacists)
extenders (students)
subject matter experts (specialists)
other contributions (case managers)
What are the two main types of MUE?
retrospective and prospective
life cycle of a MUE:
design the MUE
collect and analyze ______
implement _____ plans
assess ________
follow up- with _______ / further ______
data
change
effectiveness
changes/ research
Match the following threats to validity:
undermine the validity of predictions by over-emphasizing features close to the outcome of interest
Participants change their behavior knowing they are being studied/examined
differences in how outcomes are measured in each group
systematic error in the way data is collected/ creates false associations that impact the results of the study
publishing only positive results and neglecting negative results
The patients/participants selected have distinct differences between groups
events that occur during the study period could influence the outcomes of the results
temporal ambiguity
hawthorne effect
detection bias
confounders and control techniques
reporting bias
selection bias
historical bias
Selection bias leads to —→ _____ __________
maximizes the likelihood that measured and unmeasured confounding variables are distributed equally
selection bias —> random allocation
Breaking down the MUE Changes:
________ of broad-spectrum antibiotics
_______ changes
_______ to improve compliance
new ________/ ________procedure
overuse
formulary changes if drug not used often
education
new monitoring/ dispensing procedure
what are the appropriate steps of following up after instilling a Medication Utilization Evaluation?
DOCUMENT the change and write new processes for continual reference and onboarding training
ensure it is SHARED
set timelines to MONTIOR change
ensure the culture DOESNT REVERT to old ways
What are limitations of Medication Utilization Revews?
lack of ______, ________ , ______, _____, or _______
poor ____________
data ______, difficulty retrieving data
no ______ _______
evaluation method disruspts _____ _______
lack of _______
lack of _________and training of the MUE team
lack of hard-wired _______ actions
lack of authority, organization, structure, leadership, involvement
poor communication
integrity
follow-through
patient care
scope
education
corrective
what are some example of MUEs that have been used in experimental studies?
usage restriction to severe scenarios
formulary changes
system alignment/standardization and cost saving evaluation
how well does a health system align with national metrics
what is the process of a MUE?
design
evalueate
implement
assess and follow up
repeat
data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources
real world data
clinical evidence about the usage and potential benefits and risks of a medical product derived from analysis of real world data
real world evidence
Answer the following regarding randomized control trials (RCT):
purpose
settiing
population
population size
patient follow-up
treatment
comparator
attending physician
generalizability
control for bias
costs
purpose= efficacy/safety
setting = research
population = homogenous
population size = small- moderate
patient follow-up = fixed (design)
treatment = fixed
comparator = placebo / selective alternnative interventions
atttending physician = investigator
generalizable= low-moderate
control for bias = design and conduct
costs = high
Is a randomized control trial or real world evidence being described?
purpose = Efficacy/Safety
setting = research
population = homogenous
population size = small- moderate
patient follow up = fixed (design)
treatment = fixed
comparator = placebo/ select alternative interventions
attending physcian = investigator
generalizability = low-moderate
control for bias = design and conduct
costs = high
randomized control trial (RCT)
Is a randomized control trial or real world evidence being described?
purpose = Effectiveness/safety
setting = real- world
population = heterogenous
population size = large-huge
patient follow up = variable (actual practice)
treatment = variable
comparator = MANY alternative interventions
attending physcian = practitioner
generalizability = moderate - high
control for bias = analysis
costs = low
real world evidence
Answer the following regarding real world evidence (RWE):
purpose
settiing
population
population size
patient follow-up
treatment
comparator
attending physician
generalizability
control for bias
costs
pupose = effectiveness/ safety
setting = real-world
population = heterogenous (not everything is simmilar/controls very different patients)
population size = large - huge (not controlled amount of people)
patient follow-up = variable (actual practice)
treamtment = variable (you don’t get to chose which patient gets which drug, its up to their provider)
comparator = many alternative intervention (not just one drug/ placebo vs drug you are observing)
attending physisian = practitioner (actually in practice they are giving the patients the medicaitons, not an investigator)
generalizability = moderate-high
control for bias = analysis
costs = low
the 21st centrury cures act defines Real World Evidenceas data regarding the ______, potential ______, or _____ of drug derived from sources other than traditional clinical trials
usage
potential benefits
risks
Potential Uses of Real World Disease in Clinical Studies
non-________, non-__________ (___________)
prospective data collection
_______ studies
prospective ______ studies
retrospective (existing data)
____________
____________
non-randomized, non-interventional (observational)
propective data collection:
registry studies
prospective cohort studies
retropective (existing data)
cohort studies
case-control studies
what are the sources of real world evidence?
social media
EHR
claims
registeries
software apps
clinical labs
Internet of Things (IOT) - glucose monitors
Generation of Real World Evidence from diverse sources of Real World Data:
claim data
lab results
EHR
registeries
cost of care
patient reported outcomes
what is the difference between a nonrandomized interventional study vs a randomized noninterventional story?
interventional is an externally CONTROLLED trial whereas noninterventional studies are OBSERVATIONAL including cohort, case-control, and case-crossover
Fitness for Use is assesing data reliability and relevance:
what are some things that should be taken into consideration regarding the data?
minimal _______ data
sufficient data ______ and ________
established data ______ _______ procedures
what are some things that should be taken into consideration regarding the methods?
_______ vs ____________
________ vs _____________ vs _________
credibility established (_______ developed and _______of results achieved/planned)
after fitness for Use
data:
minimal missing data
data reliability and validity
quality assurance
methods:
observational vs interventional
retrospective vs prospective vs hybrid
protocol developed, replication of results achieved