Aug. 21: Clinical Questions and Hypothesis Testing (Use objectives for test study)
evidence, patient, and clinical experience are 3 legs of EBP
The Process…
Ask a question
Find best evidence
Evaluate evidence
Apply information in combination w/ clinical experience and patient values
Evaluate outcomes
Formulate relevant clinical questions
v
Asking Answerable Clinical Questions
begins and ends w/ the patient
Types of Questions
Background Questions: (no format used to create these questions)
intended to increase understanding of situation (GENERALLY ANSWERING QUESTIONS ABOUT GENERAL THINGS)
ask for general information about disorder
often focus on medical aspects rather than PT components
help understand clinical context of diagnosis
EXAMPLES:
“What are common side effects of Oxycodone?”
“How long will it take for the total knee arthroplasty incision to heal?”
“What are the characteristic symptoms of cerebral palsy?”
“Will it be possible to play baseball again after elbow surgery?”
Foreground Questions: (uses the pico format to pose questions)
help clinicians and patients/clients make decisions
arise from any aspect of PT management model
P-I-C-O: (used to help formulate a well-defined searchable question)
breaking question into components in order to identify relevant information for answering it
relates to specific aspect of patient/client management:
Diagnosis; Clinical Measurement/Examination ; Prognosis; Intervention; Outcomes
P: Patient, Population, or Problem:
What are the most important characteristics of the patient and their health status?
I: Intervention/Exposure: Iis THIS (intervention) more better than THAT (comparison)|
What main intervention are you considering (medical, surgical, preventative)?
C: Comparison:
What are the alternative bencmark or gold standards being considered, if any?
O: Outcome:
What is the estimated likelihood of a clinical outcome attributable to a specific disease, condition, or injury?
PICO- INTERVENTION?
P= Patient/problem
I= Intervention
C= Comparison or Control group
O= Outcome or Effect of Intervention
*********Example:
Research question: In obese older adults, is walking a more effective exercise than swimming for weight loss ?
P: Obese older adults
I: Walking
C: Swimming
O: Weight loss
Aspect of patient/client management model: Intervention question
Null Hypothesis (Ho)
statistical hypothesis
there wil be NO STATISTICALLY SIGNFICANT DIFFERENCE (or relationship) b/w groups in the study
any differences (relationships) observed are due to chance
If the null hypothesis is rejected, that means the study’s results are not likely to be due to chance
Example:********
Research question: In obese older adults, is walking a more effective exercise than swimming for weight loss ?
Null hypothesis: There will be no (statistically significant) difference in weight loss in obese older adults who complete a walking program versus a swimming program.
Aspect of patient/client management model: Intervention question.
Research (alternate) Hypothesis (Ha)
investigator expects to find difference (or relationship)
once committed to this expectation, you cannot change your mind
if research hypothesis rejected, that means that the study results are likely due to chance and not due to experimental condition
Hypotheses
Research hypothesis
The statement of the predicted relationship or difference between groups
Non-directional research hypothesis (not greater or less, just change)
Directional research hypothesis (defined change)
Example:******
Research question: In obese older adults, is walking a more effective exercise than swimming for weight loss ?
Non- directional research hypothesis: Amounts of weight loss will be different in obese older adults who complete a walking program versus a swimming program.
Directional research hypothesis: Weight loss will be greater in obese older adults who complete a walking program versus a swimming program.
Other examples of Research Questions
(related to different aspects of the patient client management model)
Example: Clinical Measure Question
P= Patient and /or problem
I= Clinical Measure
C= Comparison- usually a gold or reference standard
O= Outcome/ Test Accuracy/ Measurement validity, reliability, and responsiveness
Example: Clinical Measure Question
Is the Fitbit or the Apple watch activity monitor a more reliable measure of steps taken in overweight adults?
P: Overweight adults
I: Fitbit activity monitor
C: Apple watch activity monitor
O: Reliable measure of steps taken
Example: Clinical Measure Question
Is the Fitbit or the Apple watch activity monitor a more reliable measure of steps taken in overweight adults?
Null: Both activity monitors are reliable measures of steps taken in overweight adults.
Research:
Non-directional: There will be a difference in the reliability of the Fitbit versus the Apple watch in measuring steps.
Directional: The Fitbit will be a more reliable measure of steps than the Apple watch.
PICO- Diagnosis?
P= Patient and /or problem
I= Diagnostic Test
C= Comparison, gold standard or reference test
O= Outcome, accuracy of diagnosing (or classifying) the condition
Example: Diagnosis/Classification Question
Is the treadmill stress test or cardiac ultrasound a more accurate test to detect heart disease in middle aged adults?
P: Middle aged adults
I: Treadmill stress test
C: Cardiac Ultrasound test
O: Accuracy in detecting heart disease
Example: Diagnosis/Classification Question
Is the treadmill stress test or a cardiac ultrasound a more accurate test to detect heart disease in middle aged adults?
Null: There will be no difference in accuracy between the treadmill stress test and a cardiac ultrasound in detecting heart disease in middle aged adults.
Research:
Non-directional research hypothesis: The treadmill stress test and a cardiac ultrasound will demonstrate differences in accuracy in detecting...
Directional research hypothesis: The treadmill stress test will be less accurate than a cardiac ultrasound in detecting...
PICO- Prognosis?
P= Patient and /or problem
I= Predictive Factors
C= Comparison, often not present in Prognosis ?
O= Outcome/ What we are trying to predict
Example: Prognosis Question****
Does the # of steps a person walks per day predict the risk of a cardiac arrest (heart attack) in individuals with heart disease?
P: Individuals with heart disease
I: # steps walked per day
C: None
O: Accuracy of prediction of cardiac arrest
Example: Prognosis Question
Does the # of steps a person walks per day predict the risk of a cardiac arrest in individuals with heart disease?
Null: The # of steps a person walks per day does not predict the risk of a cardiac arrest in individuals with heart disease.
Research:
Non-directional: The # of steps a person walks per day does predict the risk of a cardiac arrest.
Directional: The more steps a person walks per day, the risk of a cardiac arrest decreases.
Foreground Questions: Practice
Diagnosis: which tests & measures provide most precise & accurate info with least amount of risk, cost, etc.
Example: Is the hip scour test more accurate than the figure-4 test for detecting hip osteoarthritis in a 55-year-old female accountant with hip pain?
P: adults w/ Hip pain
I: hip scour test
C: figure-4 test
O: accuracy in detecting hip osteoarthritis
Clinical Measures: assessment of measurement reliability, measurement validity, and responsiveness.
Example: Is a manual muscle strength testing a more reliable, valid, and responsive measure of quadriceps strength than a force gauge in a 43-year-old female with multiple sclerosis?
P: adult w/ multiple sclerosis
I: manual muscle strength testing
C: force gague
O: most reliable, valid, and responsive measurement of gradriceps strength
Clinical Measure: ability to capture relevant information or responsiveness to change in status
Example: Will the Minnesota Living with Heart Failure Questionnaire detect change following rehab in an 83-year-old female following congestive heart failure?
P: 83 y/o following congestive heart failure
I: Minnesota Living with Heart Failure Questionnaire
C:
O: detect change following rehab
Prognostic Factors: predictions about future health status of patients with particular indicators, predictors or factors.
Example: Is lower extremity muscle weakness a predictor of fall risk in a 76-year-old female with diabetes?
P: 76 y/o female w/ diabetes
I: lower extremity muscle weakness
C:
O: predictiveness of fall risk
Interventions: benefits and risks of particular treatment
Example: Is Yoga a more effective treatment technique than Mat Pilates for restoring core trunk stability in a 77-year-old male with right hemiparesis (paralysis) due to stroke?
P: 77 y/o male w/ right hemiparesis (paralysis) POST-STROKE
I: Yoga
C: Mat Pilates
O: Effectiveness of restoring core trunk stability
EXAMPLES PICO PRACTICE:
Is the five times sit to stand test a more valid and reliable measure of functional mobility than the timed up and go test in a 36-year-old female with traumatic brain injury?
P:
I:
C:
O:
Pt management model? Clinical Measure (comparing tests)
In a 24-year-old soccer player, is the anterior drawer test a more accurate test in detecting an anterior cruciate ligament injury (ACL) tear than a Lachman’s test?
P:
I:
C:
O:
Pt management model? Diagnosis
In older adults with Parkinson’s disease, does the Berg Balance Test predict falls more accurately than Timed Up & Go test?
P:
I:
C:
O:
Pt management model? Prognosis (prediction: looking at something in future is clue for prognosis)
Which is a better predictor of fall risk, muscle weakness or balance deficits, in a 76-year-old female with diabetes?
P:
I:
C:
O:
Pt management model? Prognosis (predictor)
Literature Search Strategies: