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Rubin Ch. 1-6, articles, & class activities
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What research level?: Forty individuals in a long-term care facility receive strength and balance training to reduce falls. The number of falls for a 1-month period before the intervention is compared with the number of falls for a 1-month period after the intervention.
3: Nonrandomized before-after design
What research level?: Twenty individuals on one wing of a long-term care facility receive strength and balance training, while 20 individuals on another wing of the same long-term care facility receive usual care. The number of falls for the two groups is compared for 1 month before the intervention and 1 month after the intervention.
2: Nonrandomized controlled design
What research level?: The results of three randomized controlled trials examining the efficacy of strength and balance training to reduce falls in long-term care facilities are analyzed and synthesized.
1: SR
What research level?: A resident in a long-term care facility receives individualized strength and balance training. The number of falls for this individual is determined at different time points and presented in a report.
5: Case report
What research level?: Individuals in three long-term care facilities are randomly assigned to receive either strength and balance training or usual care. The number of falls for the two groups is compared for 1 month before the intervention and 1 month after the intervention.
1: RCT
Threat to internal validity?: A researcher is interested in a study comparing two different teaching methods. One method is used at School A and the other method is used at School B. During the course of the study, the principal at School B is fired and replaced by a new principal.
History
Threat to internal validity?: Children recently enrolled at a nursery school are having trouble adjusting to the teacher and the scheduled activities. The head teacher designs a program of story telling that is intended to help them adjust. Four weeks later, observations are made and the children are better adjusted than they were before the program began.
Maturation
Threat to internal validity?: A researcher wants to assess the effectiveness of a college energy conservation program. This program included an energy conservation campaign as well as an improved method for monitoring the college’s energy usage. The researcher recorded the amount of energy use based on archival sources for the 2 years prior to the program and for the 2 years following the end of the program. The researcher found a decrease in energy use at about the time when the program was initiated.
Instrumentation
Threat to internal validity?: An educational psychologist designs a demanding but fair spelling test that can be administered to grade school children. The test is found to be valid and reliable. A researcher selects the test to help evaluate a “cognitive” approach to teaching spelling. A 5th grade class is tested prior to being taught the new method and then again after the new method is taught. The children show improvement on their spelling scores from the first to the second test administration, suggesting that the program was effective in helping children to learn to spell.
Testing
Threat to internal validity?: All students planning to enroll in a small Midwest college are given math aptitude tests prior to registration for classes. Students scoring the lowest are selected for a 1-week math enrichment program to be taken prior to registration for classes. Following participation, students are tested again. Scores on the math aptitude test following the enrichment program show that students have improved. Credit for this change is given to the program.
Regression to the mean
Threat to internal validity?: A researcher is interested in the impact that a new science curriculum has on boys and girls’ long term interest in science. He matches 4th grade boys and girls on their overall interest in science and tracks them until the 12th grade. The researcher found that by the 12th grade, the boys had significantly more interest in science than the girls. The researcher concluded that the new science curriculum was only effective in increasing boys’ long-term interest in science.
Selection by maturation interaction
Threat to internal validity?: A psychologist is trying to figure out whether males or females know more about political issues. The psychologist stops people on the street, asking them to participate in a survey on political issues. The results of his survey found that men know much more about politics than women do.
Selection of subjects
Threat to internal validity?: A social scientist is hired by a large company to assess the effect of an employee training program. Volunteers are sought from the employees and a modest bonus offered for participation. Thirty-six employees agree to participate and are randomly assigned to the program condition (n = 18) or to a waiting list control group (n = 18). The employees on the waiting list are scheduled to receive the training program following the first group’s training; meanwhile, these employees serve as a control group for the group trained first. Training requires that the employees attend sessions after normal work hours and also that they complete brief written assignments at home. Twelve of the employees finish the training program, and an analysis of appropriate job performance measures reveals that their scores are better than of those the employees in the control group.
Mortality
Identifying variables?: Dementia and Parkinson’s disease?
Control
Identifying variables?: Individuals with aspiration of thin liquids?
Control
Identifying variables?: Degree of aspiration?
Dependent
Identifying variables?: Three treatment options?
Independent
Identifying variables?: Patient preference?
Dependent
Identifying variables?: Patient’s anxiety level?
Extraneous
Why use EIP?
Guides practice decisions & interventions + better equipped to understand others (manage care companies)
Age of accountability
People want to know WHY and HOW, not just take OTPs word
Barriers to EIP?
Not enough/gaps in research, attitudes, demand/time, cost
EIP=
best evidence + OTP’s expertise + client’s values, attributes, preferences, & circumstances
Practice decisions are…
Informed by research evidence
EIP Question #1
What are the factors that best predict desirable & undesirable outcomes?
What is the best intervention?
An occupation-based intervention
EIP Question #2
What can I learn about clients, service delivery, & targets of intervention from experinces of others?
What is one of the most important factors influencing intervention effectiveness
Quality of practitioner-client relationship
EIP Question #3
What assessment tool should be used?
EIP Question #4
Which intervention, program, or policy has the best effects?
EIP is a…
Process for making practice decisions in which OTPs integrate best evidence available with their expertise, and client factors (attributes, values, preferences, circumstances)
EIP 5-Step Process:
Form question
Find best evidence
Critically appraise evidence
Select intervention based on appraisal + expertise + client factors
Monitor client progress
All knowledge is…
Subject to refutation/change
EIP Question #5
What are the costs of interventions, policies, and tools?
What must OTPs know regarding EIP question #5?
The resources available in practice context and their cost (ratio to costs to benefits)
EIP Question #6
What are the potential harmful effects of interventions, policies, & tools?
Contraindicated
Not indicated for one particular diagnosis or symptom; cannot do interventions with certain individuals b/c they could cause significant harm
Using PICO framework, P stands for…
Patient, population, problem
Using PICO framework, I stands for…
Intervention (or instrument)
Using PICO framework, C stands for…
Comparison
Using PICO framework, O stands for…
Outcome
How can you overcome feasibility obstacles?
cut corners
work with a team
refer client to well-prepared agency
Dodo Bird Verdict?
Idea that all interventions are effective if the practitioner-client relationship is strong
Dr. Trudell doesn’t like “this proves X”. What should you say instead?
“supports X”
Qualitative designs…
Employ flexible designs & subjective methods w/ small sample size
Quantitative designs…
Produce precise & objective statistical findings; generalizable results (geared at testing if hypotheses about causes really produce effects)
AOTA Hierarchy: Level I consists of…
Systematic reviews, meta-analyses, randomized controlled trials
AOTA Hierarchy: Level II consists of…
Nonrandomized controlled designs (cohort) & case control designs
AOTA Hierarchy: Level III consists of…
Nonrandomized before-after (pretest-posttest) & cross-sectional designs
AOTA Hierarchy: Level IV consists of…
Single-subject design
AOTA Hierarchy: Level V consists of…
Case report
Other research designs below Level V?
Anecdotal case reports
Pretest/posttest w/o control group
Qualitative descriptions of client experiences during & after treatment
Surveys
Systematic reviews (1)…
Look at every study/report then appraise them
Meta-analyses (1)…
Combine data from only randomized experiments, find common effect, & emerge w/ final assessment for common effect (more statistical subset of SRs)
Randomization
Increases likelihood to have one group that is similar in terms of the other group in an experiment; greatly reduces chance of confounding variables (motivation)
Level I Diagram
Participants→Randomization→ Experimental group & Control group→Outcome
Nonrandomized controlled designs (Cohort design)…
Group of people share common experience within period of time; prospective
Level II Diagram
Participants→Exposure to intervention & No exposure→Outcome
Case control design…
Compares people with specific condition(case) with people who don’t(control) and explores what makes groups different retrospectively
Nonrandomized Before-After design (pretest-posttest)…
Evaluate group involved in an intervention; no control so difficult to conclude what responsible for outcome
Nonrandomized Before-After Diagram
Participants→Assessment→Intervention→Outcome
Cross-sectional design…
Looks at one group at a single point in time; not generalizable
Cross-Sectional Diagram
Participants→Measurement of outcomes & other factors at same time
Single-subject design…
Repeated evaluation of clients for outcomes both before baseline and after intervention
Why are single-subject designs considered plausible?
Collect many data points which reveals/predicts trends
Level IV Diagram
Client→Baseline→Intervention→Evaluation
Case report…
Descriptive info about relationship between both a particular intervention(exposure) and an outcome
Level V Diagram
Participants w/ condition of interest→Info about clinical outcome
How do interventions differ from assessments?
During interventions clients work toward outcomes to improve what was assessed
Best research design for EIP question #1?
Correlational, case control, qualitative
Best research design for EIP question #2
Qualitative
Best research design for EIP question #3
Correlational: test-retest reliability, differences in averages of 2 groups validity, pretest-posttest no control sensitivity
Best research design for EIP question #4
Experimental, quasi-experimental, single-subject, correlational
Selectivity bias
Doubt between comparability of groups
What is one of the key factors that cause high selectivity bias?
Motivation
Example of measurement issue of participants altering their behavior?
Over reporting the amount of vegetables I eat on a daily basis to please my PCP
Example of measurement issue of self-reporting bias?
A participant does not perceive the fact that they drink 1 beer a day as a negative habit, so they underreport the amount they drink
Example of measurement issue of recall bias
A student rates a professor poorly on a course survey because of a negative incident that occurred the previous week, despite having had consistently positive interactions with the professor throughout the rest of the semester
Maturation
Physiological processes occurring within the participants that could account for any changes in their behavior
Regression to the mean
Tendency that participants who receive extreme scores when tested, tend to have less extreme scores on subsequent retesting even in the absence of any treatment effects
Selection of subjects
Any bias in selecting and assigning participants to groups that results in systematic differences between the participants in each group
Selection by maturation interaction
Treatment and no-treatment groups, although similar at one point, would have grown apart (developed differently) even if no treatment had been administered
Mortality
Differential dropping out of some subjects from the comparison groups before the experiment is finished, resulting in differences between the groups that may be unrelated to the treatment effects
Instrumentation
Changes in the measurement procedures may result in differences between the comparison groups that are confused with the treatment effects
Testing
When participants are repeatedly tested, changes in test scores may be more due to practice or knowledge about the test procedure gained from earlier experiences rather than any treatment effects
History
Extraneous events occurring during the course of the experiment that may affect the participants’ responses on the dependent measure
Small sample size
Fewer than 80 participants
Internal validty
Was the intervention the most plausible cause of the outcome?
External validity
Do the study’s participants, intervention procedures, & results seem applicable to your practice context?
Strong internal validity means…
The results are confidently attributed to the effect of the IV
Time order
Causal variable comes first, then the effect variable
Threats to internal validity (alternative explanations)
History
Passage of time (or maturation)
Regression to the mean
Testing
Instrument decay
Selectivity bias
Regression to the mean
Elevated or very low scores in the pretest move closer to the mean once tested again
Testing
Pretest changes participants behavior
Instrument decay
Over time, observer gains skill or gets bored
Best way to avoid selectivity bias?
Random assignment
__ controls for statistical regression, history, and passage of time and eliminates influence of individual characteristics
Random assignment
Reliable measures are…
Consistent & precise
Masked tx approach
Uninformed as to purpose of study or desired results
Statistically significant?
p < 0.05 (5x out of 100)