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prognosis research question
what is the relationship between an exposure/risk factor and an outcome
types of prognosis studies
cohort and case control
characteristics of prognosis research design
quantitative, nonexperimental, within or between subjects, cross-sectional or longitudinal, retro or prospective
uses of prognostic studies
predicting a future condition, surveillance/preventative techniques, informs differential diagnosis and treatment planning, predicts functional outcomes
what can be seen about a prognosis in a cross-sectional study
prevalence (how many people have it at a given time)
what can be seen about a prognosis in a longitudinal study
development and inheritance
what is included in a prognosis
ultimate outcomes of a health condition, results of pt interventions
elements of prognosis study designs
large group, observed over time (cohort studies)
elements of the exposure in a prognosis study
the independent variable, predictors, comparison of incidence in people who were exposed and who were not (strength of relationship of factor and outcome)
elements of the outcome in a prognosis study
development of disease, presence of disease, must be preceded by an exposure
incidence rate
number of new cases within a period
measure of incidence
person-years
prevalence
proportion of cases in the population at a given time
measure of prevalence
number of cases/total number studied (percent)
relative risk measure
quantifies the strength of association of exposure with the outcome compared to a reference group
parts of a relative risk measure
risk ratio and odds ratio
relative values when the exposed has less risk of an outcome
small: 0.8, moderate: 0.8-0.3, large: 0.2
relative values when the exposed has more risk of an outcome
small: 2, moderate: 3-5, large: 5
risk ratio
incidence in the exposed/incidence in the unexposed
odds ratio
odds of exposure among diseased vs non diseased
disadvantage of relative risk measures
cannot tell the absolute amount, always relative because a ratio expresses probability and comparisons
absolute measures of risk
absolute risk difference, number needed to treat/harm
definition of clinical practice guidelines
systematically developed statements that include recommendations to assist practitioner and pt decisions and optimize pt care
parts of CPGs
systematic review and clinical recommendations
pros of CPGs
grades evidence succinctly, reduces variation in practice, decreases knowledge translation gap, allows for complete evidence based practice
focus of CPGs in PT
diagnostic tests, clinical predictions, prognostic indicators, outcome measures, patient management
steps of developing CPGs
identify topic and scope → form creation team → systematic review → develop recommendations → determine limitations of the evidence
levels of evidence in CPGs
high (RCT and systematic reviews), lesser quality (cohort studies), case control and case series, expert opinion
P grading
best practice
R grading
research
A levels of evidence
1 and 2 (high quality)
B levels of evidence
2
limitations of CPGs
depends on levels of evidence, vulnerable to bias, age
decisions to consider when implementing a CPG
relevance to the pt, time, resources, practice environment, was it worth it
problems of a single clinical trial
small sample size, single geographic location, specific inclusion/exclusion criteria, may not be reproducible/generalizable
PRISMA guidelines
evidence based minimum set of items for reporting in systematic reviews and meta analyses
pros of systematic reviews
lots of evidence with exponential increase in RCTs, address limitations of a single study, provides a summary of the evidence, identifies gaps in understanding
meta analysis
quantitative form of systematic review which data is pooled to draw conclusions
forest plot
visual summary of the effect estimates (summarizes results)