Week 1 Flashcards
Define absolute risk, categorical measure, ceiling & floor effect, confidence interval, and continuous measure
- Absolute Risk: The probability of an event occurring in a specific group, often expressed as a proportion or percentage.
- Categorical Measure: A variable measured in categories, such as gender, race, or yes/no responses.
- Ceiling & Floor Effect: Phenomena where data points cluster at the highest or lowest possible scores, limiting the variability and interpretation of results.
- Confidence Interval: A range of values that estimates a population parameter with a certain level of confidence, typically 95%.
- Continuous Measure: A variable that can take on any value within a range, such as height, weight, or time.
Define dichotomous measure, effect size, hazard ratio, inferential statistics, interarater reliability, and intrarater reliability
- Dichotomous Measure: A variable with only two possible values, such as success/failure or yes/no.
- Effect Size: A quantitative measure of the strength of a phenomenon, often used to assess the magnitude of treatment effects.
- Hazard Ratio: A measure of the effect of an intervention on the time to an event, often used in survival analysis.
- Inferential Statistics: Techniques used to make generalizations or predictions about a population based on sample data.
- Interrater Reliability: The degree of agreement among different raters or observers measuring the same phenomenon.
- Intrarater reliability: The consistency of measurements made by the same rater across multiple instances
define mean, median, minimal detectable change, minimal clinically important difference, negative likelihood ratio, and nominal level of measurement
- Mean: The arithmetic average of a set of numbers.
- Median: The middle value in a data set when the numbers are arranged in order.
- Minimal Detectable Change: The smallest change in a measurement that can be detected beyond measurement error.
- Minimal Clinically Important Difference: The smallest change in a measurement that has a meaningful impact on a patient’s condition.
- Negative Likelihood Ratio: The likelihood that a negative test result is seen in a patient with the condition versus one without it.
- Nominal Level of Measurement: Data classified into distinct categories without any inherent order (e.g., colors, types).
Define number needed to treat, odds ratio, ordinal level of measurement, positive likelihood ratio, power, and P-value
- Number Needed to Treat: The number of patients that need to be treated to prevent one adverse event.
- Odds Ratio: The odds of an event occurring in one group compared to another.
- Ordinal Level of Measurement: Data classified into ordered categories, but the intervals between categories are not equal (e.g., ranking scales).
- Positive Likelihood Ratio: The likelihood that a positive test result is seen in a patient with the condition versus one without it.
- Power: The probability that a statistical test correctly rejects the null hypothesis (i.e., detects a true effect).
- p-value: The probability of observing the test results under the assumption that the null hypothesis is true.
Define relative risk, risk reduction, sensitivity, Specificity, and standard deviation
- Relative Risk: The ratio of the probability of an event occurring in one group to the probability in another group.
- Risk Reduction: The decrease in risk achieved by an intervention, often expressed as a percentage.
- Sensitivity: The ability of a test to correctly identify those with the condition (true positive rate).
- Specificity: The ability of a test to correctly identify those without the condition (true negative rate).
- Standard Deviation: A measure of the amount of variation or dispersion in a set of values.
Define type I error, type II error, validity, and variability
- Type I Error: Incorrectly rejecting a true null hypothesis (false positive).
- Type Il Error: Failing to reject a false null hypothesis (false negative).
- Validity: The extent to which a test measures what it claims to measure.
- Variability: The degree to which data points differ from each other and the mean.
Explain ignorance vs ineptitude
- Ignorance: Limited understanding of relevant factors or knowledge gaps, historically addressed through scientific advancements (e.g., penicillin, evidence-based treatments).
- Ineptitude: Failure to apply existing knowledge appropriately. In modern times, this is a more pressing challenge than ignorance.
Explain EBP
- Introduced to reduce ignorance by promoting clinical decisions based on rigorous scientific evidence.
- Numerous tools and resources now exist to support EBP, yet ineptitude persists in practice due to slow adoption of proven innovations.
- Evidence-Based Practice requires new skills of the clinician
- application of formal rules of evidence in evaluating the clinical literature.
- efficient literature searching
Understanding, and practicing, how best to put questions that arise in your practice into a searchable format is VERY important.
Explain the diffusion of innovations
- Everett Rogers’ framework explains how innovations spread through perceptions, adopter characteristics, and contextual factors.
- Key perceptions include relative benefit, compatibility, complexity, trialability, and observability of innovations.
Future Focus:
* Emphasis on not just creating innovations but also accelerating their dissemination to overcome ineptitude.
explain contextual barriers
- Challenges include decentralized clinical networks, traditionalist tendencies, and a lack of alignment between research outputs and clinical practice needs.
- Effective diffusion requires bridging the gap between research institutions and practitioners.
What are the 5 personalities of innovation adopters
- Innovators:
- Enthusiastic about novelty and willing to take risks. Often the first to try new practices.
- Early Adopters:
- Opinion leaders who cross-pollinate ideas and advocate for change within their communities.
- Early Majority:
- More cautious, relying on personal trust and familiarity over scientific evidence to adopt changes.
- Late Majority:
- Risk-averse and adopt changes only when they are widely proven and accepted as the new norm.
- Laggards:
- Resistant to change, preferring traditional approaches and relying on personal experience.
what are the steps to create searchable clinical questions?
1st: formulate an answerable clinical question
Clinical question -> search terms -> literature search -> appraise, apply, adjust
What are clinical questions designed to do?
increase understanding about a situation or disease that is different than those used to facilitate clinical decisions.
Define background questions and give examples
Background questions: ask for general knowledge
- Anatomic, physiologic, pathophysiologic nature of the problem
- Medical/surgical management
Example:
- How does heart failure reduce exercise capacity?
- What are the signs and symptoms of a Multiple Sclerosis exacerbation?
Define foreground questions and give examples
foreground questions: ask for specific knowledge to inform clinical decisions
- are the “meat” of evidenced based PT practice
- help the PT make decisions about the specific management of the problem or issue
- need to be specific (but not too specific)
Purpose:
* Benefits/risks of particular treatments (intervention)
* Usefulness of diagnostic test
* Factors predicting future status (prognostic)
* Identify, classify, quantify a clinical measure
* Measurement of success (outcomes)
Define PICO
- The PICO format is considered a widely known strategy for framing a “foreground” research question.
- Sackett et al. pointed out that breaking the question into four components will facilitate the identification of relevant information.
Foreground questions have 4 components:
1.“P” patient population
2.“I” Intervention
3.“C” Comparison (sometimes)
4.“O” Outcome
Explain intervention questions
What the physical therapist does to
produce a change in the patient.
– Focus on benefits or risks of treatment
– Identify which treatment approach will produce the desired effect in a manner consistent with the patient’s preferences and values.
What is the type of question in this scenario:
A 7 year old boy with diplegia is coming up on your schedule. You want to know if prolonged supported standing is a more effective treatment for restoring core trunk stability than reaching activities?
intervention question
Searchable question:
P: in children with cerebral palsy
I: is supported standing
C: better than exercise
O: for improving strength
Explain diagnosis questions
Physical therapist labels or classifies
a patient’s problem or need.
– Want to know which tests provides the most accurate, timely information
– Tests used during the Examination provide the data for the diagnostic process
What is the type of question in this scenario:
A 35 y/o male tennis player presents to your clinic with shoulder pain. You want to know the value of the Neer’s test in detecting rotator cuff impingement.
Diagnosis question
Searchable question:
P: in adult tennis players with shoulder pain
I: is the Neer’s test useful to diagnose
C:
O: rotator cuff impingement?
Explain prognosis questions
The therapist makes a prediction about the future health status of a patient.
– What information (i.e., factors) are most important to consider when predicting the outcome of an intervention - or inaction.
What is the type of question in this scenario:
You are performing a fall risk assessment on a 79 y/o woman who recently received new prescription bifocals. You want to know if type of eye glasses is associated with fall risk?
prognosis question
Searchable question:
P: in older adults
I: are bifocals
C:
O: associated with falls
Explain clinical measures questions
Physical therapist labels or classifies a
patient’s problem or need.
– Are distinct from Diagnosis questions.
– Used to quantify a patient’s impairments in a standardized way
– Usually focus on measurement reliability, validity, and responsiveness.
What type of question is in this scenario:
A 26 year old man with unilateral chemotherapy- induced peripheral-neuropathy of the peroneal nerve is referred to your clinic. You want to know if manual muscle testing is valid and reliable for assessing muscle weakness on the affected side?
clinical measures question
Searchable question:
P: in adults with peripheral neuropathy
I: is manual muscle testing
C:
O: valid and reliable