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PTP 661
EVIDENCE ABOUT INTERVENTIONS
CRITICALLY APPRAISE THE QUALITY AND APPLICABILITY
OF AN INTERVENTION RESEARCH STUDY
Min Huang, PT, PhD, NCS
Applicability
Determining Applicability of an Intervention Study
Start from a specific patient or a more general question about types of patients with the shared problem
Search for the literature Use PICO analysis to identify the search terms
e.g. “For a 17-year-old swimmer with neck pain, is a combination of manual therapy and exercise effective for reducing pain and improving function?”
Determining Applicability of an Intervention Study
Q1: Is the study’s purpose relevant to my clinical question? Read the abstract
Q2: Is the study population (sample) sufficiently similar to my patient? To justify whether my patient would respond similarly
to the population
Q3: Are the inclusion and exclusion criteria clearly defined, and would my patient qualify for the study? Is the treatment feasible in my clinic?
Determining Applicability of an Intervention Study
Q4: Are the intervention and comparison/ control groups receive a realistic intervention?
Q5: Are the outcome measures relevant to the clinical question and were they conducted in a clinically realistic manner?
Bottom line is to …… weigh similarities and differences between the study
participants and your patient
the intervention proposed in the study and the feasibility of this intervention for you and your patient
Quality and Results
Determining Quality of an Intervention Study
Q1: Were the participants randomly assigned to intervention groups? RCT is the gold standard of research design for
intervention studies
RCT is designed to evaluate the efficacy of an intervention
Efficacy: test-tube, ideal condition
Effectiveness: typical clinical conditions
Practice-Based Evidence Study Design for Comparative Effectiveness Research
Although randomized controlled trials (RCTs) are important to confirm whether a new treatment causes an effect, they are unlikely to discover combinations of interventions or practices that are effective and efficient in routine care.
PBE study is a type of observational study often utilizes existing data from medical records
can uncover better practices more quickly than RCTs
Horn 2007, http://www.effectivehealthcare.ahrq.gov/repFiles/MedCare/s50.pdf
Determining Quality of an Intervention Study
Q7: Is the sampling procedure (recruitment strategy) likely to minimize bias? Sample size and study power
Recruiting a study sample
ALL patients from selected clinics vs. SOME patients referred from multiple clinics
Q8: Are all participants who enter the study accounted for? Intention to treat (ITT)?
Determining Quality of an Intervention Study
Q9: Was blinding optimized in the research design? Evaluator
Participants
Therapists
Q10: Aside from the treatment, were groups treated equally?
Interpreting Results of an Intervention Study
Q11: Were participants similar at the baseline?
Q12: Were outcome measures reliable and valid?
Q13: Were C.I., descriptive and inferential statistics (p values) reported and applied to the results?
Clinical Bottom Line
Summarizing the Clinical Bottom Line of an Intervention Study
Q13: Was there a treatment effect? If so, was it clinically relevant? Change on a measure that has value to the patient
Change of a magnitude that will make a real different in the patient’s life
Effect size
e.g. Cohen’s d
Large= >0.8; Medium= 0.5-0.8; Small= 0.2-0.5
Number Needed to Treat (NNT)
Minimally Clinically Important Difference (MCID)
Figure 12-2: Influence of Group Variability on Effect Size
Compare absolute effect size and standardized effect size between the groups
Example: NNT
NNT = 2. For every two smokers who quit, one life is saved.
Which intervention is more effective? NNT = 7. hot pack + interferential
NNT = 3. education + core stabilization (better, need to only treat 3 to save someone)