Evidence Based Practice Midterm Study Guide - Weeks 1-6
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Questions and Answers

In evidence-based practice, what is the MOST crucial consideration when deciding on a treatment approach for a patient?

  • Balancing the best available evidence with clinical expertise and patient values. (correct)
  • Prioritizing the latest research findings while disregarding patient-specific factors.
  • Adherence to established protocols regardless of individual differences.
  • Solely relying on clinical expertise without considering external research evidence.

A physical therapist is considering using a new therapeutic exercise for patients with chronic lower back pain. According to the principles of evidence-based practice, what should be their FIRST step?

  • Immediately implement the exercise with all patients to gather anecdotal evidence.
  • Search for and critically evaluate existing research evidence on the effectiveness of the exercise. (correct)
  • Consult with experienced colleagues to gather their opinions on the exercise.
  • Rely on the manufacturer's claims about the exercise's benefits.

Which scenario BEST exemplifies the integration of patient values in evidence-based practice?

  • A therapist modifies a treatment plan after discussing the patient's cultural beliefs and preferences. (correct)
  • A therapist prescribes a treatment based solely on a recent clinical trial, ignoring the patient's concerns.
  • A physician recommends surgery based on their past success with similar patients.
  • A healthcare provider dismisses a patient's concerns about side effects, emphasizing the treatment's effectiveness.

A physical therapist reviews a study that shows a new intervention is statistically effective for improving outcomes, but the findings have limited clinical significance. What does this suggest?

<p>The practical benefits of the intervention may not be substantial enough to justify its use in clinical practice. (A)</p> Signup and view all the answers

According to the evidence pyramid, which type of study generally provides the WEAKEST level of evidence for clinical decision-making?

<p>Case Series and Case Reports (B)</p> Signup and view all the answers

A clinician observes a treatment yielding positive results in their practice, even though there is limited research to support its use. According to evidence-based practice, what is the MOST appropriate course of action?

<p>Critically evaluate the outcomes, seek rationale behind the treatment, and consider contributing to research on its effectiveness. (A)</p> Signup and view all the answers

A patient is hesitant to follow a recommended treatment plan due to personal beliefs that conflict with conventional medicine. What should the healthcare provider do to uphold the principles of evidence-based practice?

<p>Explore the patient’s beliefs, provide education about the evidence, and collaboratively find a mutually acceptable treatment approach. (D)</p> Signup and view all the answers

During which step of the five-step EBP process would a clinician MOST likely use Boolean operators (AND, OR, NOT)?

<p>Searching for evidence. (D)</p> Signup and view all the answers

Which study design is considered a 'secondary' study because they are authored by experts in the field and provide direct recommendations for practice?

<p>Systematic Reviews (A)</p> Signup and view all the answers

What is the primary goal of 'study appraisal' in evidence-based practice?

<p>To assess the applicability and quality of a research article for clinical decision-making. (D)</p> Signup and view all the answers

In the context of interventions, what is the key characteristic of 'specific effects'?

<p>They are directly caused by the targeted mechanism of the intervention. (C)</p> Signup and view all the answers

Which of the following research study is the BEST choice for determining cause-and-effect?

<p>Randomized Controlled Trial (A)</p> Signup and view all the answers

Why might a researcher choose a research design other than a randomized controlled trial (RCT) to determine cause-and-effect?

<p>Randomization may be impossible or unethical in certain situations. (B)</p> Signup and view all the answers

A physical therapist is treating two patients post ankle sprain. All other things being equal, which patient most likely has a prolonged recovery?

<p>The patient who had a more severe ankle sprain and got surgery. (A)</p> Signup and view all the answers

What does evidence-based practice involve beyond just using research findings?

<p>Integrating the best available research with clinical expertise and patient values. (A)</p> Signup and view all the answers

What is the difference between 'prediction' and 'causation' in research?

<p>Prediction is the same as association or correlation, while causation implies a direct cause-and-effect relationship. (B)</p> Signup and view all the answers

A new study finds a strong correlation between the number of hours a student studies and their exam scores. Based on this, what can you definitively conclude?

<p>There is an association between study time and exam performance, but causation isn't proven. (D)</p> Signup and view all the answers

A researcher aims to determine the causal effect of a new exercise program on reducing lower back pain. Which of the following actions would best strengthen their ability to establish causality, assuming a randomized controlled trial is not feasible?

<p>Rigorously controlling for potential confounding variables through statistical analysis. (D)</p> Signup and view all the answers

Which type of research question aims to establish factors that elevate the likelihood of developing a condition or injury?

<p>Causal (C)</p> Signup and view all the answers

Which study design is most appropriate for determining the diagnostic test accuracy?

<p>Cross-sectional study (clinical sample) (B)</p> Signup and view all the answers

Which search operator would you use in PubMed to combine two search terms and narrow your results?

<p>AND (C)</p> Signup and view all the answers

Which database is specifically tailored to physiotherapy evidence?

<p>PEDro (A)</p> Signup and view all the answers

A researcher is conducting a systematic review. Which database would be most suitable for finding this type of evidence?

<p>Cochrane Library (A)</p> Signup and view all the answers

What is the initial step in the evidence-based practice (EBP) process?

<p>Identifying the need for information and developing a clinical question. (D)</p> Signup and view all the answers

Which element describes the 'I' in the PICO framework?

<p>Intervention (D)</p> Signup and view all the answers

Which factor is most likely to contribute to the placebo effect in a clinical setting?

<p>Patient's confidence in the treatment (B)</p> Signup and view all the answers

Which of the following is NOT one of the commonly reported barriers to implementing evidence-based practice (EBP) among physical therapists?

<p>Abundance of easily accessible and generalizable research. (D)</p> Signup and view all the answers

What is a key strategy for a physical therapist to prevent the nocebo effect when communicating with patients about potential treatment side effects?

<p>Refining language to avoid overwhelming patients with negativity (C)</p> Signup and view all the answers

In the context of evidence-based practice, what is the PRIMARY purpose of using standardized outcome measures?

<p>To compare patient progress with research literature. (D)</p> Signup and view all the answers

Which of the following BEST describes 'clinical research' in the context of evidence-based practice?

<p>Research that addresses diagnostic, interventional, preventative, and prognostic questions using human subjects. (B)</p> Signup and view all the answers

What is the primary issue associated with reporting bias in research?

<p>Researchers may choose not to publish based on the findings (C)</p> Signup and view all the answers

In evidence-based practice, patient values primarily encompass which of the following?

<p>Beliefs, preferences, expectations, and cultural identification. (D)</p> Signup and view all the answers

When determining the applicability of a research study, what aspect is MOST important to consider regarding the study population?

<p>How well the demographics align (B)</p> Signup and view all the answers

Which aspect of patient management involves predicting the likely course of a patient's condition and potential outcomes?

<p>Prognosis (D)</p> Signup and view all the answers

In the context of research, what is a surrogate outcome?

<p>An indirect measure of a more useful clinical outcome. (D)</p> Signup and view all the answers

What is the primary concern when a study uses a surrogate outcome?

<p>The relationship between the surrogate outcome and the major outcome is uncertain. (D)</p> Signup and view all the answers

When evaluating research evidence, what are the two PRIMARY scales used to rate the evidence?

<p>Applicability and quality. (A)</p> Signup and view all the answers

Why is 'lack of generalizability of research' considered a barrier to evidence-based practice?

<p>Research often involves group data, which may not perfectly represent individual patient characteristics. (C)</p> Signup and view all the answers

What is a critical consideration when evaluating the clinical relevance of an intervention in a research study?

<p>If the resources for the intervention are unavailable (A)</p> Signup and view all the answers

What does it mean for a therapist to be a 'consumer of research' in evidence-based practice?

<p>Critically evaluating and applying existing research to clinical practice. (C)</p> Signup and view all the answers

Why is randomization important when a patient is receiving some sort of intervention in a study?

<p>It reduces the risk of biasing the results. (B)</p> Signup and view all the answers

What is the primary concern regarding participant attrition (dropout) in a research study?

<p>Understanding why they left is important for validity. (D)</p> Signup and view all the answers

What is the MAIN focus of the provided materials regarding statistics?

<p>To understand and interpret statistical concepts in clinical literature. (C)</p> Signup and view all the answers

Why is a shared informed decision important in therapeutic practice?

<p>It integrates best evidence with patient preferences through a partnership. (C)</p> Signup and view all the answers

Which of the following best describes 'non-clinical research'?

<p>Research involving healthy humans, animals, cadaver specimens, and cell specimens. (D)</p> Signup and view all the answers

Why are studies of healthy individuals valuable in therapy?

<p>They help therapists understand what is typical and can generate hypotheses. (A)</p> Signup and view all the answers

What patient factors dictate that the best approach for treatment involves patient preferences?

<p>Patient preferences, expectations, circumstances, and culture. (D)</p> Signup and view all the answers

In the context of breaking down barriers to EBP what is a key factor for therapists to optimize speed?

<p>Faster searches and study appraisal. (B)</p> Signup and view all the answers

In research studies, what is the primary purpose of preserving the original group assignments when comparing groups?

<p>To maintain the integrity of the study design and accurately assess treatment effects. (C)</p> Signup and view all the answers

Why is it important to determine who funded a research study and if the researchers benefited from it?

<p>To identify potential conflicts of interest that could bias the study's results. (B)</p> Signup and view all the answers

What is the 'clinical bottom line' in the context of appraising a research study?

<p>A concise summary of the study's key findings and their relevance to clinical practice. (C)</p> Signup and view all the answers

Which of the following best describes selection bias?

<p>Bias introduced when participants are selectively chosen for a study, leading to a non-representative sample. (A)</p> Signup and view all the answers

Why is it crucial to ensure that the statistical analysis used in a study is appropriate for the type of data collected?

<p>To ensure the validity of the study results and avoid drawing incorrect conclusions. (C)</p> Signup and view all the answers

Which type of data is represented by categorizing patients as 'smokers' or 'non-smokers'?

<p>Nominal data (D)</p> Signup and view all the answers

A researcher measures the height of participants in centimeters. This data is best described as:

<p>Continuous data (D)</p> Signup and view all the answers

What is the defining characteristic of ratio data that distinguishes it from other types of continuous data?

<p>It has a true zero point, indicating the absence of the quantity being measured. (C)</p> Signup and view all the answers

Which of the following scenarios exemplifies intra-individual reliability?

<p>A patient consistently achieves the same score on a depression scale over multiple administrations, assuming no change in their condition. (A)</p> Signup and view all the answers

A study evaluates the effectiveness of a new pain medication. To minimize bias, neither the patients nor the clinicians evaluating their pain levels know who is receiving the actual medication and who is receiving a placebo. This is an example of:

<p>Double-blinding (D)</p> Signup and view all the answers

In a clinical trial comparing a new drug to a placebo, what is the primary purpose of including a 'sham group'?

<p>To account for psychological effects or placebo effects by mimicking the experimental treatment. (C)</p> Signup and view all the answers

In the appraisal process, what does 'applicability' refer to when evaluating a research study?

<p>The process of evaluating a study and determining what specific people might benefit from the intervention. (A)</p> Signup and view all the answers

A survey asks respondents to rate their satisfaction with a product on a scale from 1 (very dissatisfied) to 5 (very satisfied). This type of data is best described as:

<p>Ordinal data (D)</p> Signup and view all the answers

A researcher counts the number of patients who develop a specific complication after surgery. This data is best described as:

<p>Discrete data (D)</p> Signup and view all the answers

What does reliability in measurement refer to?

<p>The ability to replicate a measurement getting the same results consistently. (B)</p> Signup and view all the answers

Which of the following best describes intra-individual reliability?

<p>The natural variations observed within a single patient. (B)</p> Signup and view all the answers

What is the primary difference between intra-session and inter-session reliability?

<p>Intra-session reliability is assessed within a single session, while inter-session reliability is assessed across multiple sessions. (D)</p> Signup and view all the answers

In the context of intra-rater reliability, what does inter-session reliability specifically evaluate?

<p>The consistency of a rater's measurements from one session to another. (D)</p> Signup and view all the answers

Why is it important to establish inter-rater reliability when measuring clinical outcomes?

<p>To ensure consistent results regardless of who is taking the measurements. (B)</p> Signup and view all the answers

An Intraclass Correlation Coefficient (ICC) is calculated to be 0.1. What does this indicate about the agreement between raters?

<p>The raters have poor agreement. (B)</p> Signup and view all the answers

When appraising the applicability of a research study, what should be considered first?

<p>The similarity of the study population to your patients. (C)</p> Signup and view all the answers

Why is it important to assess the similarity of groups at baseline in an intervention study?

<p>To minimize the potential for biased results due to pre-existing differences. (D)</p> Signup and view all the answers

Which descriptive statistic is most appropriate for summarizing data that is normally distributed?

<p>Mean and Standard Deviation (A)</p> Signup and view all the answers

What does a narrow confidence interval (CI) indicate regarding the accuracy of the sample mean?

<p>The sample mean is a precise estimate of the population mean. (B)</p> Signup and view all the answers

A study reports a p-value of 0.06. Assuming the alpha level is set at 0.05, what can be concluded about the statistical significance of the study's findings?

<p>The results are not statistically significant. (D)</p> Signup and view all the answers

What does the 'Number Needed to Treat' (NNT) indicate?

<p>The number of patients needed to be treated for one to show additional benefit compared to the alternative. (A)</p> Signup and view all the answers

When should median and mode be reported instead of mean and standard deviation?

<p>When the data is skewed. (A)</p> Signup and view all the answers

What does a large effect size (Cohen’s d) suggest about the impact of an intervention?

<p>The intervention has a greater impact on patient outcomes. (A)</p> Signup and view all the answers

What is the primary purpose of conducting an intention-to-treat analysis?

<p>To maintain the original randomization and provide a more realistic estimate of treatment effectiveness. (C)</p> Signup and view all the answers

What is the potential consequence of confirmation bias in the context of research appraisal?

<p>Selectively accepting evidence that supports pre-existing beliefs. (A)</p> Signup and view all the answers

A therapist is conducting research on a new intervention. What scenario exemplifies confirmation bias?

<p>Seeking out research articles that support the intervention's effectiveness while ignoring contradictory evidence. (B)</p> Signup and view all the answers

Which action is LEAST likely to reduce confirmation bias in clinical research?

<p>Relying solely on personal observations to interpret results. (B)</p> Signup and view all the answers

In a normal distribution, approximately what percentage of data falls within three standard deviations of the mean?

<p>99.7% (B)</p> Signup and view all the answers

A dataset representing the ages of individuals in a retirement community is likely to exhibit which type of distribution?

<p>Negatively skewed distribution (D)</p> Signup and view all the answers

Which descriptive statistic is most affected by extreme values in a dataset?

<p>Mean (B)</p> Signup and view all the answers

A researcher calculates a 95% confidence interval for the mean blood pressure of patients taking a new medication to be (120, 130). What does this interval suggest?

<p>There is a 95% probability that the true population mean blood pressure falls between 120 and 130. (C)</p> Signup and view all the answers

Which type of data is represented by assigning colors to different types of flowers?

<p>Nominal data (C)</p> Signup and view all the answers

A therapist uses a pain scale (1-10) to assess a patient's pain level. This data would be considered as what type of data?

<p>Ordinal data (C)</p> Signup and view all the answers

A researcher measures the weight of participants in a study. This data is best described as:

<p>Continuous (ratio) data (A)</p> Signup and view all the answers

What does inter-rater reliability measure?

<p>The consistency of measurements made by different raters or observers. (D)</p> Signup and view all the answers

An Intraclass Correlation Coefficient (ICC) of 0.9 indicates:

<p>Good reliability (A)</p> Signup and view all the answers

In hypothesis testing, what does a Type I error represent?

<p>Rejecting a true null hypothesis. (D)</p> Signup and view all the answers

A study fails to reject the null hypothesis when, in reality, the treatment being tested is effective. What type of error is this?

<p>Type II error (C)</p> Signup and view all the answers

A p-value of 0.01 indicates:

<p>Strong evidence against the null hypothesis. (D)</p> Signup and view all the answers

If a treatment has a Number Needed to Treat (NNT) of 5, this means:

<p>For every five patients treated, one is expected to benefit. (A)</p> Signup and view all the answers

What is the primary aim of clinical outcome studies?

<p>To evaluate if a new clinical outcome is as effective, easier, or more efficient than an established one. (C)</p> Signup and view all the answers

In the context of research, what is the significance of Cronbach’s alpha?

<p>It quantifies the correlation between multiple outcome variables. (C)</p> Signup and view all the answers

Why is handgrip strength considered a relevant clinical outcome measure?

<p>It is associated with overall strength, risk of frailty, disability, and mortality. (C)</p> Signup and view all the answers

Why must the patient population be considered when determining the validity of a clinical outcome variable?

<p>Different populations may exhibit varying characteristics that affect the interpretation of the measurement. (C)</p> Signup and view all the answers

Why is dissection considered the 'gold standard' for measuring body composition?

<p>It involves direct physical separation and measurement of tissues. (D)</p> Signup and view all the answers

How does underwater weighing estimate body fat percentage?

<p>By relating results of underwater weighing to known densities of fat and muscle mass. (B)</p> Signup and view all the answers

What is measured when performing skinfold testing?

<p>The thickness of subcutaneous fat at specific body sites. (E)</p> Signup and view all the answers

How would you best describe reliability in the context of measurement?

<p>The degree to which a measurement is free from random error. (B)</p> Signup and view all the answers

A physical therapist consistently measures a patient's range of motion with the same goniometer, but obtains slightly different measurements each time. What does this indicate?

<p>Low reliability (C)</p> Signup and view all the answers

What is the relationship between reliability and validity?

<p>A measure can be reliable without being valid. (D)</p> Signup and view all the answers

What does construct validity assess?

<p>The extent to which a measure truly reflects the theoretical construct it is intended to measure. (A)</p> Signup and view all the answers

In consecutive sampling, how are participants selected for a study?

<p>Every individual meeting inclusion criteria at a specific location during a defined period is invited. (B)</p> Signup and view all the answers

How do random and consecutive sampling reduce selection bias?

<p>By ensuring that everyone meeting the criteria is recruited, preventing preferential recruitment. (C)</p> Signup and view all the answers

What practical challenges do researchers face when recruiting participants for a study?

<p>Distributing information, screening for eligibility, obtaining informed consent, and collecting data. (B)</p> Signup and view all the answers

What factor is most important when considering the generalizability of a study's findings?

<p>The method of recruitment and the inclusion/exclusion criteria. (D)</p> Signup and view all the answers

What is the MOST significant implication of a small sample size in an intervention study?

<p>It reduces the study's power to detect a real difference between treatments, potentially leading to a false negative result. (A)</p> Signup and view all the answers

In research notation, what does 'R' typically signify in the context of an intervention study?

<p>Subjects were randomly assigned to treatment groups. (B)</p> Signup and view all the answers

Which of the following BEST describes the purpose of 'intention-to-treat' analysis?

<p>To account for subject attrition by analyzing all subjects in their originally assigned groups, even if they did not complete the treatment. (A)</p> Signup and view all the answers

What BEST describes the difference between 'efficacy' and 'effectiveness'?

<p>Efficacy is the outcome of treatment in a controlled research setting, while effectiveness is the outcome in routine clinical practice. (D)</p> Signup and view all the answers

In a study evaluating a new rehabilitation protocol for stroke patients, researchers use stratification. What is the PRIMARY reason for using stratification in this context?

<p>To ensure equal representation of different stroke severity levels in each treatment group. (D)</p> Signup and view all the answers

What is the MOST direct purpose of appraising the results section of an intervention research study?

<p>To interpret the study findings and summarize the clinical bottom line. (A)</p> Signup and view all the answers

The distribution of patient age in a cardiac rehabilitation program is strongly skewed to the right. Which measure of central tendency would BEST represent the 'typical' age of patients in this program?

<p>Median (D)</p> Signup and view all the answers

A researcher reports a wide range for patient-reported pain scores following a new intervention. What does a wide range indicate about the data?

<p>The degree of spread or dispersion is high. (C)</p> Signup and view all the answers

A physical therapist is reviewing a study and notes that the researchers used a consecutive sample. Which of the following BEST describes how the participants were recruited for the study?

<p>Participants include all patients who met the inclusion criteria and were referred to a specific clinic during the study period. (B)</p> Signup and view all the answers

In a study examining the effectiveness of a new exercise program, several participants drop out due to an inability to tolerate the exercises. What MOST accurately reflects the importance of documenting this attrition?

<p>It informs about the characteristics of patients who can tolerate the treatment and may benefit from it. (D)</p> Signup and view all the answers

When a universally accepted 'gold standard' is unavailable, what is the MOST suitable approach for assessing the validity of a new measurement tool?

<p>Establishing a series of hypotheses about the measure's relationships with other variables and testing these hypotheses. (B)</p> Signup and view all the answers

Which statistical measure is MOST appropriate for assessing agreement between two continuous measures?

<p>Intraclass Correlation Coefficient (ICC) (D)</p> Signup and view all the answers

What key factor distinguishes the absolute risk reduction (ARR) from the relative risk reduction (RRR)?

<p>ARR provides the actual difference in risk, while RRR expresses the percentage reduction in risk relative to the control group. (C)</p> Signup and view all the answers

Why is it inaccurate to classify a measurement tool as simply 'reliable' or 'unreliable'?

<p>Reliability exists on a spectrum, with tools being more or less reliable, rather than definitively one or the other. (B)</p> Signup and view all the answers

A study shows a new treatment has a Cohen’s d effect size of 0.65. How should a clinician interpret this value?

<p>The treatment has a medium effect, suggesting a noticeable and potentially meaningful difference. (C)</p> Signup and view all the answers

In addition to statistical considerations, what practical factor should be considered when selecting a measurement tool for clinical use?

<p>How long it takes to administer the measure and whether the patient can understand the instructions. (C)</p> Signup and view all the answers

What is the MOST accurate interpretation of 'clinically meaningful' when evaluating research outcomes?

<p>The smallest change in outcome that is important to the patient. (C)</p> Signup and view all the answers

Why is it important to review the tables and figures in the results section of a research study before reading the authors' conclusions?

<p>To form your own impression of the results and avoid being biased by the authors' interpretations. (A)</p> Signup and view all the answers

When should the term 'effect' be used when interpreting research results?

<p>When describing the difference between two groups. (C)</p> Signup and view all the answers

Which of the following outcome measures would be MOST appropriately evaluated using an effect size such as Cohen's d?

<p>The change in range of motion (in degrees) of the shoulder joint following a rehabilitation program. (C)</p> Signup and view all the answers

How can confidence intervals assist in the interpretation of research study results?

<p>By providing a range of values within which the true population parameter is likely to fall. (D)</p> Signup and view all the answers

How does the Minimally Important Change (MIC) differ from the Minimal Clinically Important Difference (MCID)?

<p>MIC and MCID are fundamentally different with MIC referring to within-group change and MCID referring to between-group difference. (D)</p> Signup and view all the answers

What is the primary distinction between questionnaire-based outcome measures and performance-based outcome measures?

<p>Questionnaires require patient self-reporting, while performance measures involve direct observation of tasks. (D)</p> Signup and view all the answers

What is a significant limitation of using Cohen's effect sizes (0.2, 0.5, 0.8) as thresholds for small, medium, and large effects?

<p>The thresholds do not correspond to what patients consider small, medium, and large changes. (B)</p> Signup and view all the answers

A physical therapist reads a study concluding that a particular intervention is highly effective based on statistically significant p-values. What additional clinically meaningful statistics should the therapist look for to determine if the intervention will make a real difference in the patient's life?

<p>The <strong>effect size</strong> (e.g., Cohen's d) and <strong>number needed to treat (NNT)</strong>. (C)</p> Signup and view all the answers

What does a 'minimum detectable change' derived from distribution-based methods primarily indicate?

<p>The smallest change that is likely a real change, rather than due to measurement error. (D)</p> Signup and view all the answers

In anchor-based methods for determining meaningful change, what serves as the 'anchor'?

<p>A global rating of change reported by patients. (D)</p> Signup and view all the answers

What is the MOST direct way to determine if an outcome measure has the ability to detect genuine change in a patient's status over time?

<p>By analyzing whether the outcome measure demonstrates clinically meaningful change. (D)</p> Signup and view all the answers

A clinician is evaluating an outcome measure for use in their practice. What are the MOST important psychometric properties they should consider?

<p>Reliability, validity, and clinical meaningfulness. (B)</p> Signup and view all the answers

Which method for defining MCIC or MCID directly considers the trade-off between the benefits of an intervention and its associated costs, time, and risks?

<p>Benefit-harm trade-off method (A)</p> Signup and view all the answers

What is a primary limitation of exclusively using a MIC attached to a measurement instrument for interpreting between-group differences in randomized controlled trials?

<p>It doesn't account for important contextual factors like patients' initial symptom severity. (D)</p> Signup and view all the answers

In the context of interpreting research results, what does a high number needed to treat (NNT) suggest about a particular intervention?

<p>Many patients need to be treated with the intervention to achieve a desired outcome in one individual. (A)</p> Signup and view all the answers

When appraising the applicability of a research study to your patient, what is the MOST important consideration?

<p>Comparing the characteristics of the study participants with those of your patient. (A)</p> Signup and view all the answers

Why might a study's sample size be considered too small?

<p>When the study results may not be truly valid due to insufficient statistical power. (B)</p> Signup and view all the answers

What does 'study power' refer to in the context of research?

<p>The likelihood that a study will detect a difference between groups if a difference truly exists. (B)</p> Signup and view all the answers

A researcher is developing a new balance assessment tool and wants to ensure it does not correlate with measures of upper extremity strength. What type of validity is the researcher trying to establish?

<p>Discriminant validity (D)</p> Signup and view all the answers

When is a 'reference standard' criterion used in determining criterion validity?

<p>When a 'gold standard' for the characteristic of interest does not exist. (B)</p> Signup and view all the answers

Which of the following steps is essential when establishing construct validity?

<p>Providing a theoretical model describing the constructs being assessed. (B)</p> Signup and view all the answers

A new pain scale is administered to a group of patients, and the researchers compare the scores to an existing, well-validated pain scale administered at the same time. Which type of validity is being assessed?

<p>Concurrent validity (D)</p> Signup and view all the answers

A physical therapist is using a new outcome measure to assess balance in elderly patients; however, a large percentage of the patients achieve the highest possible score. What concept of clinical meaningfulness is MOST likely being affected?

<p>Ceiling effect (C)</p> Signup and view all the answers

A research study reports a statistically significant difference between a treatment group and a control group (p < 0.05) regarding pain reduction. What is the MOST accurate interpretation of this finding?

<p>There is a less than 5% chance that the observed difference is due to random chance, assuming the null hypothesis is true. (A)</p> Signup and view all the answers

In the context of outcome measures, what does 'responsiveness' primarily refer to?

<p>The ability of a measure to detect change over time in the characteristic being measured. (A)</p> Signup and view all the answers

In a randomized controlled trial (RCT), researchers compare a new exercise program to a standard rehabilitation protocol for patients with knee osteoarthritis. If the authors report conclusions based solely on within-group changes, what is the primary limitation of this approach?

<p>It fails to account for potential confounding variables between the groups. (D)</p> Signup and view all the answers

A team of experts is asked to review a newly developed questionnaire to determine if it appears to measure the intended construct. This process is BEST described as assessing:

<p>Face validity (A)</p> Signup and view all the answers

What is the BEST definition of 'Absolute Risk Reduction' (ARR)?

<p>The absolute arithmetic difference in event rates between the treatment and control groups. (A)</p> Signup and view all the answers

What is the purpose of assessing 'content validity' when evaluating an outcome measure?

<p>To ensure the outcome measure includes all the characteristics it is intended to measure. (B)</p> Signup and view all the answers

A researcher wants to find studies that investigated the reliability and validity of the 'Berg Balance Scale'. Which database would be most suitable for this purpose?

<p>PubMed (D)</p> Signup and view all the answers

Researchers conduct a study on a new pain management technique and report a 'clinically meaningful difference' in pain scores between the treatment and control groups. What does this finding suggest?

<p>Patients perceive the difference in pain relief as practically important. (C)</p> Signup and view all the answers

A physical therapist is reviewing research on interventions for improving physical function in older adults. Which outcome measure would provide information about the patient's capacity to perform activities of daily living?

<p>Functional status assessment. (B)</p> Signup and view all the answers

Which statement best describes the 'minimal detectable change' (MDC) of an outcome measure?

<p>The minimum amount of change required to exceed the anticipated measurement error and variability. (A)</p> Signup and view all the answers

A study reports a significant improvement in a patient-reported outcome measure after an intervention. However, the researchers used a sampling method that only included patients who were highly motivated and likely to adhere to the treatment protocol. What is the MOST significant concern regarding the generalizability of these findings?

<p>The sample may not be representative of the broader patient population. (A)</p> Signup and view all the answers

In the context of interpreting research outcomes, what is the primary purpose of calculating the 'difference' between two groups in a study?

<p>To quantify the magnitude of the treatment effect relative to a control or alternative treatment. (D)</p> Signup and view all the answers

A researcher aims to recruit a 'representative sample' for a study on the effectiveness of a new rehabilitation program. What characteristic is MOST important for ensuring the sample's representativeness?

<p>The sample should mirror the characteristics of the target patient population. (B)</p> Signup and view all the answers

A physical therapist reads a study that reports a statistically significant difference in functional outcomes between a new treatment and a placebo. However, the confidence intervals for the difference include values close to zero. What is the MOST appropriate interpretation of this finding?

<p>The statistical significance is likely a result of a large sample size, and the true effect may be small or negligible. (D)</p> Signup and view all the answers

In a clinical trial comparing two different treatment approaches for chronic pain, the researchers report that the 'between-group difference' in pain scores was statistically significant at follow-up. What does this indicate about the two treatments?

<p>One treatment was more effective than the other in reducing pain. (D)</p> Signup and view all the answers

What is the primary goal of using random sampling in research?

<p>To provide every individual in the population an equal chance of being selected, enhancing sample representativeness. (C)</p> Signup and view all the answers

When interpreting the results of a research study examining the effectiveness of an intervention, what is the MOST important distinction between 'statistical significance' and 'clinical meaningfulness'?

<p>Statistical significance reflects the likelihood that the results are due to chance, while clinical meaningfulness reflects the practical importance of the results. (C)</p> Signup and view all the answers

A study involving a new rehabilitation program for stroke patients reports a large within-group change in motor function scores from baseline to post-treatment. What potential confounding factor should be considered when interpreting this result?

<p>The natural recovery that occurs after a stroke. (D)</p> Signup and view all the answers

Researchers are planning a study to investigate the effectiveness of a new exercise program on reducing lower back pain. Due to time and resource constraints, they opt for consecutive sampling instead of random sampling. What is a potential limitation of using consecutive sampling in this scenario?

<p>It may introduce selection bias, affecting the representativeness of the sample. (C)</p> Signup and view all the answers

Which of the following study characteristics would be MOST concerning when trying to interpret the 'true meaning' of the outcomes?

<p>Conclusions based solely on within-group changes in the absence of a control group. (A)</p> Signup and view all the answers

Which statement accurately describes the relationship between standard deviation and the mean?

<p>Standard deviation represents the average amount individual scores vary from the mean. (A)</p> Signup and view all the answers

A physical therapist measures a patient's shoulder range of motion three times and obtains the following measurements: 90 degrees, 92 degrees, and 91 degrees. This scenario primarily relates to which type of reliability?

<p>Intra-rater reliability (D)</p> Signup and view all the answers

Two physical therapists independently assess a patient's Berg Balance Scale score. Which type of reliability is MOST applicable to this situation?

<p>Inter-rater reliability (C)</p> Signup and view all the answers

In a research study, the authors conclude that a new treatment is significantly more effective than the standard treatment, but in reality, there is no difference between the two. What type of error has occurred?

<p>Type I error (C)</p> Signup and view all the answers

During a clinical trial, researchers perform multiple statistical comparisons. What statistical method is MOST appropriate to control for the increased risk of Type I error?

<p>Bonferroni correction (B)</p> Signup and view all the answers

Which statistical measure is BEST suited for evaluating the reliability of continuous data when assessing the consistency of measurements across multiple trials?

<p>Intraclass correlation coefficient (ICC) (B)</p> Signup and view all the answers

A researcher wants to categorize patients based on their level of mobility: 'independent', 'partially dependent', or 'fully dependent'. Which scale of measurement is being used?

<p>Ordinal scale (B)</p> Signup and view all the answers

Which of the following is a characteristic of a ratio scale?

<p>Has a meaningful zero point (A)</p> Signup and view all the answers

A researcher is examining the relationship between two ordinal variables. Which statistical method is appropriate for this analysis?

<p>Spearman's rho (C)</p> Signup and view all the answers

A researcher is assessing the level of agreement between two therapists who are independently classifying patients into diagnostic categories. Which statistical measure is MOST appropriate?

<p>Kappa (A)</p> Signup and view all the answers

What does a high standard error of measurement (SEM) indicate about the reliability of a measure?

<p>The measure has low reliability (D)</p> Signup and view all the answers

A researcher calculates a 95% confidence interval for the mean blood pressure of a sample of patients. What does this confidence interval represent?

<p>A range of values that likely contains the true mean blood pressure for the entire population. (D)</p> Signup and view all the answers

In a research study comparing two groups, the p-value is reported as 0.03. Assuming an alpha level of 0.05, what is the correct interpretation of this result?

<p>There is a 3% chance that the observed difference is due to chance, so the result is statistically significant. (A)</p> Signup and view all the answers

A physical therapist wants to determine if there is an association between the type of footwear worn (sneakers vs. boots) and the occurrence of ankle sprains. Which statistical test is MOST appropriate for this analysis?

<p>Chi-square (B)</p> Signup and view all the answers

In a study evaluating the effect of an intervention on pain levels measured at baseline, post-intervention, and at a 1-month follow-up, which statistical test is MOST appropriate?

<p>Repeated measures ANOVA (B)</p> Signup and view all the answers

A clinician is using a goniometer to measure a patient's elbow flexion on two separate occasions. Both measurements are performed by the same clinician on the same patient, with no change expected in the patient's elbow flexion between measurements. Which type of reliability is MOST relevant to assess the consistency of these measurements?

<p>Intra-rater reliability (C)</p> Signup and view all the answers

A new questionnaire is developed to assess fear of falling in older adults. The developers want to ensure that all items in the questionnaire are consistently measuring the same underlying construct. Which type of reliability should they prioritize assessing?

<p>Internal consistency (A)</p> Signup and view all the answers

A physical therapy clinic wants to implement a standardized functional outcome measure to track patient progress. To ensure reliable data collection, they have multiple therapists administer the measure to the same patient independently. Which type of reliability are they primarily trying to establish?

<p>Inter-rater reliability (B)</p> Signup and view all the answers

When evaluating the internal consistency of a newly developed patient-reported outcome measure, a Cronbach's alpha value of 0.92 is obtained. What does this value suggest?

<p>High internal consistency, suggesting redundancy or overlap between items. (C)</p> Signup and view all the answers

A researcher is investigating the test-retest reliability of a new balance assessment tool. What is a critical consideration when selecting participants for this study?

<p>Participants should be expected to remain stable in their balance ability between test administrations. (A)</p> Signup and view all the answers

A researcher is assessing the validity of a new diagnostic test for carpal tunnel syndrome by comparing its results to nerve conduction studies (a gold standard). Which type of validity is being assessed?

<p>Criterion validity (A)</p> Signup and view all the answers

A panel of experts is asked to review a newly developed assessment tool for shoulder pain to determine if it adequately covers all relevant aspects of the condition (e.g., pain intensity, range of motion, functional limitations). Which type of validity is being assessed?

<p>Content validity (C)</p> Signup and view all the answers

A researcher is developing a new measure of functional mobility in older adults. To establish construct validity, they compare the scores on the new measure to scores on an established measure of balance, hypothesizing that individuals with better balance will also demonstrate higher functional mobility. Which type of construct validity is being assessed?

<p>Convergent validity (C)</p> Signup and view all the answers

A physical therapist develops a new assessment tool for measuring balance. Upon initial review, other physical therapists in the clinic agree that the tool appears to be measuring balance. Which type of validity is demonstrated?

<p>Face (B)</p> Signup and view all the answers

A study compares a new diagnostic test for ACL tears with MRI findings (considered the 'gold standard'). The new test is administered, and then an MRI is performed within the same week. Which subtype of criterion validity is being assessed?

<p>Concurrent (B)</p> Signup and view all the answers

A researcher wants to assess the ability of a college entrance exam to predict students' future academic performance in college. Which type of validity should be assessed?

<p>Predictive validity (B)</p> Signup and view all the answers

Researchers aim to evaluate a novel measure of social anxiety. They hypothesize that individuals diagnosed with social anxiety disorder will score significantly higher on this measure compared to a group of healthy controls. Which subtype of construct validity is being examined?

<p>Known groups (D)</p> Signup and view all the answers

A clinic implements a new functional outcome measure. After several weeks, some therapists consistently score patients higher than other therapists, even when assessing similar patients. What type of issue is MOST likely present?

<p>Low inter-rater reliability (A)</p> Signup and view all the answers

A new outcome measure for upper extremity function is being evaluated. Experts in the field review the measure and determine that essential components of upper extremity function, such as fine motor coordination and grip strength, are not adequately represented. Which aspect of the measure is MOST concerning?

<p>Content validity (A)</p> Signup and view all the answers

A new measure of depression is developed for use in adolescents. Researchers find that scores on this measure are strongly correlated with scores on an existing, well-validated measure of anxiety. What type of validity is potentially compromised?

<p>Discriminant validity (A)</p> Signup and view all the answers

Flashcards

Evidence-Based Practice (EBP)

A process using research, clinical expertise, and patient values to make informed healthcare decisions.

Three Sources of Evidence

Scientific research, clinical expertise, and patient values/circumstances.

Patient Values

Beliefs, preferences, expectations, and cultural identity that influence healthcare choices.

Patient Circumstances

Medical history, access to care, and family environment of the patient.

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Scientific Research

Systematic testing of a hypothesis to gain empirical evidence.

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Clinical Expertise

Knowledge from experience caring for patients, improving diagnosis, treatment etc.

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EBP Benefits

Optimizes physical therapy treatment and enhances a patient’s responsiveness to it.

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EBP Importance

Systematic approach used by practitioners to integrate evidence into decisions.

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EBP Steps

Identify need, search evidence, appraise, integrate with expertise/values, evaluate effectiveness.

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EBP Barriers

Time constraints, lack of generalizability, insufficient skills, resource limitations, inconsistent culture.

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EBP Pillars

Clinical expertise, scientific research, patient values and circumstances.

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EBP Goal

Optimizing patient benefit through evidence-informed care.

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Clinical Research

Addresses diagnosis, intervention, prevention, and prognosis related to disease or injury in humans

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Non-Clinical Research

Studies on healthy humans, animals or specimens

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Aspects of Patient Management

Screening, examination, diagnosis, intervention, prognosis, outcome measurement.

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Research Appraisal

Determines if conclusions from a study are valid and applicable.

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Research Evidence Rating

Applicability and quality.

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Shared Informed Decision

A choice made together, using the best evidence.

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Overcoming Time Barriers

Using faster searches & quick appraisals.

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Generalizability

Assess if the sample mirrors your patient.

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EBP & Research Skills

Focusing on research consumption, not production.

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Lack of Info Resources

Using free online resources for searching evidence.

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Systematic Reviews (SRs)

Studies that synthesize findings from multiple individual studies on a specific topic.

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Randomized Clinical Trials (RCTs)

Individual studies (can also include cohort studies) that investigate cause-and-effect.

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Clinical Practice Guidelines

Summaries of research with recommendations, created by experts, integrating research, clinical expertise, and patient input.

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Study Appraisal

Brief assessment of research to see if helpful and of good quality.

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Evidence-Based Practice

Integrating best research, clinical skills, and patient values.

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Specific Effects

Changes in a patient's health directly caused by the mechanism of the intervention.

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Non-Specific Effects

Changes in health, pain etc. that comes from the context surrounding the intervention.

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Prediction in Research

Using current data to make an educated guess about the future.

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"Causal"

Determining cause-and-effect relationships, showing that one thing leads to another.

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RCTs for Causation

Trials where participants are assigned to groups at random, best to determine if something causes something else.

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Descriptive Questions

Describes the situation, providing an overview using quantitative summaries.

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Predictive Questions

Aims to predict future outcomes based on present information, requiring longitudinal data.

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Causal Questions

Identifies treatment targets, risk factors, and compares treatment effects.

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Descriptive Study Aims

Aims to determine prevalence, incidence, practice audits, case mix etc.

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Predictive Study Aims

Aims to develop risk or prognostic models.

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Causal Study Aims

Aims to assess treatment effectiveness, target identification or mechanisms.

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Google Scholar

Includes peer-reviewed and non-peer-reviewed sources.

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PubMed: Quotation Marks

Uses quotation marks for specific searches.

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Boolean Search ('AND')

Use 'AND' to combine search terms.

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PubMed: MeSH

Medical Subject Headings; helps narrow search terms.

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PubMed: Clinical Queries

Predefined filters for clinical or disease-specific topics.

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Factors of Placebo

Confidences, beliefs, misinformation, sources of information

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Factors of Nocebo

Emotions, overdramatizing a treatment/procedure/product

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Reporting Bias

Whether researchers publish depends on findings.

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Surrogate Outcome

An indirect measure of a more clinically useful outcome (e.g., cholesterol for heart attacks).

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Preservation of Original Groups

Maintaining the original group assignments throughout a study.

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Blinding

Concealing the treatment type from participants to minimize bias.

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Sham Group

A control group receiving a placebo or inactive treatment.

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Conflicts of Interest

A situation where personal interests could compromise study objectivity.

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Applicability

Evaluating a study's relevance to a specific population's needs.

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Selection Bias

Compromising study results by choosing participants.

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Nominal Data

Data categorized by name without inherent order.

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Continuous Data

Numerical data having infinitely divisible values.

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Ordinal Data

Numerical data representing rankings or ordered categories.

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Likert Scale

A scale of ordered responses (e.g., strongly agree to strongly disagree).

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Discrete Data

Data representing counts, where only whole numbers are possible.

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Ratio Data

Continuous data possessing a true zero point, indicating absence of quantity.

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Reliability

The ability to consistently reproduce a measurement.

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Accuracy

Obtaining the correct measurement.

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Intra-individual Reliability

Consistency of measurements within an individual.

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Intra-session reliability

Reliability of measurements within a single session.

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Inter-session reliability

Reliability of measurements taken across separate sessions.

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Intra-rater reliability

Reliability of a single rater's measurements.

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Intra-rater inter-session reliability

Consistency of a rater's measurements across different sessions.

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Intra-rater intra-session reliability

Consistency of a rater's measurements within a single session

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Inter-rater reliability

Agreement between two or more raters.

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Intraclass Correlation Coefficient (ICC)

Statistic that quantifies inter-rater reliability.

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Descriptive Statistics

Values to describe the typical values and variability of a group.

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Measures of Variability

Spread or dispersion of scores in a group.

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P-value

Probability that an observed difference is due to chance.

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Effect Size (Cohen's d)

Magnitude of the difference between groups.

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Number Needed to Treat (NNT)

Number of patients needed to treat for one to benefit.

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Confidence Interval (CI)

A range of values that likely contains the true population mean.

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Confirmation Bias

The tendency to favor information confirming existing beliefs.

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Normal Distribution

Symmetrical, bell-shaped distribution where most data clusters around the mean.

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Skewed Distribution

Data distribution that is not symmetrical; can be positively or negatively skewed.

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Mean

Average of all data points calculated by summing all values and dividing by the number of values.

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Standard Deviation

Measures the spread of values in a dataset around the mean. Higher values mean data is more spread out.

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Median

Middle value when data points are arranged in order; less sensitive to extremes.

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Range

Difference between the highest and lowest values in a dataset.

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Hypothesis Testing (NHST)

Testing a null hypothesis (H₀) against an alternative hypothesis (H₁).

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Type I Error

Rejecting the null hypothesis when it is actually true (false positive).

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Type II Error

Failing to reject the null hypothesis when it is actually false (false negative).

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Small Sample Size Error

Error when a small sample size incorrectly suggests no difference between treatments.

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Consecutive Sample

Selecting participants readily available to the researcher (e.g., all patients in a clinic).

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Selective Sampling

Selecting participants based on specific referrals or known characteristics.

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Intention-to-Treat Analysis

Analyzing all subjects in their initially assigned groups, regardless of protocol completion.

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What Does R Mean?

Subjects randomly assigned to treatment groups

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What Does X Mean?

The intervention

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What Does O Mean?

Time of measurement

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Measure of Central Tendency

The 'average' or 'most typical' value in a dataset.

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Random Sampling

Participants are randomly selected from a population to join a study.

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Consecutive Sampling

Everyone meeting study criteria during a set period is invited to participate.

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Availability (Sampling)

The impracticality of giving every person an equal shot at being in a study sample.

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Clinical Outcome Studies

Study comparing/contrasting two clinical outcomes.

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Cronbach's Alpha

Correlation between different outcome variables.

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Validity

Measuring what we intend to measure.

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Dissection

Direct examination of body fat after death; a supreme measure of body composition.

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Densitometry

Estimating body fat via density by weighing on land and in water.

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Skinfold Testing

Estimating body fat by measuring skinfold thickness.

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Validity (Measurement)

The measure truly reflects the construct that it is supposed to measure.

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Reference Standard

A standard that is imperfect but close enough to the gold standard.

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Real-world Application

The results can be applied to patients who present for care.

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Absolute Risk Reduction (ARR)

The absolute difference in event rates between treatment and control groups.

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Interpreting Outcomes

Evaluating study results to understand reported data, requires critical skills.

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Within-Person Change

A patient's score change on an outcome measure from baseline to follow-up.

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Between-Group Difference

The difference in outcome scores between treatment groups, reflecting treatment effect.

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Within-Group Change Includes...

Includes natural recovery, regression to the mean, non-specific effects and treatment effects.

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Between-Group Difference Quantifies...

Quantifies size of treatment effect by looking at outcome scores between groups.

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Healthcare Constructs

Level of patient's pain, function, disability, physical activity, or mental state such as depression, anxiety or overall quality of life.

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Clinical Practice Measurement

Change in outcome scores from pre-treatment to post-treatment in clinical practice.

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Interpreting Outcome Score

A judgment of what a change or difference in outcome score really means.

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Statistical Significance

The probability a statistical summary of the data would be more extreme than its observed value.

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Clinically Meaningful Difference

A mean difference between groups that patients consider important.

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Representative Sample

Sample mirrors the population, only with fewer individuals.

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Random Sampling Requirement

Contact details of entire population needed.

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Effect Size

The magnitude of difference observed between treatments, reflecting its real-world impact on patients.

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Cohen’s d

A standardized measure of the difference between two group means, relative to the variability in the data.

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Relative Risk Reduction (RRR)

Measures how much the risk of an event is reduced in the treatment group compared to the control group.

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Outcome Measure

A characteristic or quality measured to assess a patient’s status.

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Questionnaire-Based measures

Data gathered via patient interview or self-report questionnaires.

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Performance-Based Measures

Requires the patient to perform a set of movements or tasks.

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Psychometric Properties

Reliability, validity, and clinical meaningfulness of an outcome measure.

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Discriminant Validity

Assesses if a measure doesn't correlate with what it shouldn't.

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Content Validity

Ensures a measure covers all aspects of what it intends to measure.

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Face Validity

Informal expert evaluation that a measure appears accurate.

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Criterion Validity

Compares a measure to an already established measure.

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Gold-Standard Criterion

Compares to an irrefutable measure.

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Reference Standard Criterion

Compares to a reasonable, but not perfect, measure.

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Concurrent Validity

Measure correlates with a criterion at the same time.

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Predictive Validity

Measure predicts a future criterion.

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Construct Validity

Measure assesses an abstract concept or characteristic.

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Clinical Meaningfulness

Measure's relevance & impact on patient care.

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Hypothesis Testing (Validity)

Testing validity by forming hypotheses about relationships between measure scores and other characteristics.

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Agreement Statistics

Assessing agreement between scores; repeated measures (reliability) or different measures (validity).

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Reliability & Validity Spectrum

Scores are never perfectly reliable or valid; it exists on a spectrum..

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Clinically Meaningful Change

The smallest change in outcome scores that a patient perceives as beneficial.

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Effect vs. Change

Difference is between groups; change is within a group.

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Minimally Important Change (MIC)

Minimum level of change considered important by the patient.

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Expressing MCIC/MCID

Expressing MCIC/MCID as units of measure or percentage of change from the starting point.

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Cohen's Effect Sizes

Thresholds (0.2, 0.5, 0.8) for small, medium, and large effects are multiples of standard deviation.

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Minimum Detectable Change

A threshold representing the smallest change that can be reliably measured.

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Anchor-Based Methods

Comparing changes on a measure to patient's perception of overall change over time.

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Benefit-Harm Trade-off

Benefits provided by the use of intervention methods minus the risks of harms associated with intervention.

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Applicability of Research

How similar the study participants and the specifics of the intervention/techniques are for your practice.

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Quality of Research Study

Evaluating subjects, measurements, and biases in a study.

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Study Power

Likelihood of a test detecting a true difference if it exists.

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Effect Size & Significance

Bigger differences between groups increases significance.

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Variance

A measure of the spread of data points in a sample.

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Bonferroni Correction

Correction accounting for multiple statistical comparisons.

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Nominal Scales

Categories (e.g., colors, types).

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Ordinal Scales

Ordered categories (e.g., rankings).

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Ratio Scale

Ordered, continuous variables with a true zero point (e.g., height, weight).

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T-test

Compares means of two groups.

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Analysis of Variance (ANOVA)

Compares results for more than two groups.

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Internal Consistency

Consistency of a measure across multiple items reflecting the same construct.

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Test-Retest Reliability

Consistency of scores when a measure is repeatedly applied to an unchanged patient.

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Gold Standard

An irrefutable measure; the best possible standard.

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Study Notes

Evidence-Based Practice (EBP) Introduction

  • EBP integrates research, clinical expertise, and patient values for informed decisions.
  • Individual patient circumstances should be considered in treatment.
  • A lack of evidence does not invalidate a treatment with reasonable rationale.

Five-Step Model of EBP

  • Step 1: Identify information needs and formulate a searchable clinical question.
  • Step 2: Search for the best available research evidence.
  • Step 3: Critically appraise the research evidence for applicability and quality.
  • Step 4: Integrate research evidence with clinical expertise and patient values/circumstances.
  • Step 5: Evaluate the effectiveness of EBP efforts and identify areas for improvement.

Three Pillars of Evidence

  • Scientific research: Empirical evidence from systematic hypothesis testing.
  • Clinical expertise: Knowledge gained from years of patient care.
  • Patient values and circumstances: Beliefs, preferences, expectations, cultural identification, medical history, and access to services which impact decisions.

Three Sources of Evidence

  • Encompass scientific findings, expert knowledge, and patient-specific factors.
  • These sources should be integrated to ensure optimal patient care.

Evidence Pyramid

  • Illustrates a hierarchy of evidence sources, with systematic reviews and meta-analyses at the top, followed by randomized controlled trials, cohort studies, case-control studies, and expert opinion at the bottom.

EBP in the Real World

  • Physical therapists report a high value for EBP.
  • Barriers include time constraints, lack of generalizability of research, and skills/resources deficits.
  • Addressing these barriers is essential for EBP implementation.

Breaking Down Barriers to EBP

  • Address time constraints through faster searches and skillful study appraisals.
  • Apply critical thinking to address the lack of research generalizability and inform care for individual patients.
  • Focus on becoming a consumer, not a doer, of research to address lack of research skills.
  • Focus on free resources to address lack of information resources.

Specific vs. Non-Specific Effects

  • Change in function, health pain, etc, is caused directly by targeted mechanism of an intervention, like exercise increasing force production and enhancing neuromuscular activation
  • Contextual effects involve confidence, beliefs, misinformation with the source of information influencing these factors

Types of Scientific Research

  • Clinical research involves human subjects, addressing diagnosis, intervention, prevention, and prognosis.
  • Non-clinical research includes studies on healthy humans, animals, cadavers, and cell specimens to understand typical function.

Definitions

  • Shared informed decision: A choice generated through partnership between therapist and patient informed by the best evidence.
  • Clinical practice guidelines: Evidence-based summaries with recommendations combining clinical research, expertise, and patient perspectives

EBP Week 2 - Comprehensive Literature Searches

Prediction in Research

  • Prediction helps identify expectations for the future.
  • Prediction differs from causation.
  • Randomized controlled trials (RCTs) are beneficial for determining cause-and-effect, but not the exclusive way to do it.
  • It is not always possible to randomize people in a clinical trial.

Question Types

  • Descriptive questions describe the "landscape" and provide situation overviews with quantitative summaries.
  • Predictive questions aim to learn about the future using present information, requiring a longitudinal study design.
  • Causal questions identify treatment targets/risks or estimate treatment outcomes.

Question Types and Study Designs

  • Descriptive studies use cross-sectional/longitudinal surveys, clinical notes/health systems data review, longitudinal observational cohorts, and qualitative studies.
  • Predictive studies use cross-sectional/longitudinal surveys, clinical notes/health systems data review, longitudinal observational cohorts, and qualitative studies.
  • Causal studies use randomized controlled trials, quasi-randomized controlled trials, controlled cohort studies, natural experiments, longitudinal/case-control studies, and mediation analyses.

Searching with Google Scholar

  • Includes sources beyond peer-reviewed articles.
  • Identifies other relevant articles.
  • Displays how many studies cite a specific article.
  • Narrow searches using timeframes.
  • Discover other studies conducted by various authors by clicking their names.

Searching with PubMed

  • Use quotation marks for specificity and the Boolean search using "and" to separate words or phrases.
  • MeSH (medical subject headings) is useful to narrow searches
  • Clinical Queries uses predefined filters to find clinically relevent or disease specific topics.

Searching Strategies

  • Evidence is searched by date; newests first.
  • Using older studies may still hold value, do not exclude.
  • PEDro (Physiotherapy Evidence Database) is specific to PT.
  • APTA searches utilize APTA resources to search in Clinical Practice Guidelines and Clinical Summaries, but it can also be done.
  • Cochrane Searches provides systematic reviews specifically with plain language summaries and includes PICOs (Population, Intervention, Comparison, Outcomes).
  • AHRQ (Agency for Healthcare Research and Quality) also has a search Function.

Placebo and Nocebo Effects

  • Placebo effect factors: confidence, beliefs, misinformation
  • Nocebo effect factors: emotions, overdramatizing a treatment
  • Prevent nocebo effects by refining language and overwhelming patients with positivity instead of focusing on negativity
  • Therapists need to be aware as to whether or not researchers attempt to publish their findings depends upon what those findings are.

EBP Week 3 - Introduction to Study Appraisal

"Close Enough"

  • A perfect literature match won’t always be found, so make a clinical judgement for best fit.
  • Determine which best fits your population.

Surrogate Outcomes

  • Indirect measure of a more useful clinical outcome
  • When they intervene on cholesterol, it influences cholesterol and maybe reduces bigger things like heart attack and death by cardiovascular disease.
  • The knowledge of a relationship between a surrogate outcome and the major outcome of interest is not always factual.

Applicability and Realism

  • How applicable is the study to your patient population?
  • Resources may not be available to achieve realistic intervention for you and your patient

Relevant Outcomes and Duration

  • Are the outcome measures relevant to the clinical question being answered?
  • A study's follow-up duration provides insight into intervention's long-term effects.

Randomization and Attrition

  • When a patient is receiving some sort of intervention in a study, how they’re assigned to either receive intervention A or B, or be in the control group, or the placebo group, that it is all randomized
  • Participant attrition is related to how many people entered and finished the study?
  • The comparison shold be made between groups with preservation of the original group assigned at end of study.

Blinding and Sham Groups

  • Blinding the research participant to what type of treatment they're getting vs blinding the clinician
  • What type of treatment a patient is getting can be single, double or triple blinded.
  • A "sham group" refers to a group that is set up or used as a fake or deceptive representation, typically a control group that is exposed to a placebo treatment or a non-active intervention.

Conflicts of Interest

  • There may be conflicts of interest from the funding of the study, potentialcompulsion to present the data and the results better than it should be.
  • Researchers may have an incentive to manipulate the data

the Appraisal Process

  • It can be summarized in four parts, involving applicability, quality, study results and a clinical bottom line.

Bias of the Week

  • Involves choosing participants via selection basis.

Evidence Based Practice Week 4 - Clinical Interventions Studies Part I

Introduction to Data Types

  • Certain statistical analyses only apply to certain types of data in relationship to a study's results.
  • Statistical analyses is meant for one data type and done for the wrong data, the analyses will be invalid.

Nominal Data

  • Nominal means name, like treatment A and Treatment B and the order does not matter.

Continuous Data

  • Numerical data, for example measuring range of motion.
  • Types of continuoous data include scaling body mass, height, body mass index, vertical jump where each unit has meaning.

Ordinal Data

  • A sort of ranking with specific sets of numbers with no between values
  • Numbers include: 1 = strongly disagree; 2 = disagree; 3 = neutral; 4 = agree; 5 = strongly disagree
  • A common type of ordinal data is called a Likert scale
  • The idea of the difference between numbers is more abstract
  • Only thing that matters is the rank.

Discrete Data

  • Discrete data is based on a count of something, or a certain number and no in between values that cannot subdivide.
  • Considered continuous if there’s a large range in values, with discrete there's often fewer number of possibilities.

Ratio Data

  • It is continuous data
  • Has a true zero point
  • Something cannot be less than 0mg
  • Body temperature in Fahrenheit is NOT ration
  • There can be a temperature lower than 0 degrees F.

Reliability

  • It relates to the ability to replicate a measurement and get the same result over and over
  • Has nothing to do with being correct.

Accuracy

  • Includes getting the correct result.
  • Types of Reliability
  • Intra-individual Reliability deals with how consistent the individual is in their physiologic response
  • Focused on natural variations within the patient themselves

Within- and Between-Session Reliability

  • Time component as it relates to one particular session.
  • Intra-session relates to doing it once and then come back a separate time and do it again
  • Looking at either within a session or between sessions, within an individual

Intra-rater Reliability

  • It's within a single rater, including intra-session reliability
  • Within a rater within a session as it relates to Clinician consistency from one day to the next with healthy patients

Inter-rater Reliability

  • It compares two different raters of different training based on Clinician and automated instrument and the agreement between both readers
  • Important to make sure outcomes in patients are consistent with each other
  • Intraclass correlation coefficient (ICCs) is used to quantify both raters reliability with one another

Intraclass correlation coefficient (ICCs)

  • If ICC is close to 1.0--the highest value you can get--raters agree nicely
  • The closer it gets to 0, the worse that number is

Appraising Results

  • Focuses on systematic interpreting of findings, with common descriptive statistics including mean, median, mode, range, and standard deviation.
  • Evaluation involves assessing baseline similarity to ensure randomization
  • Reliablity in measures is by association of the values obtained in repeated measurements and expressed using ICC

Statistical Analysis

  • Results are analyzed inferentially using confidence intervals, p-values, effect size.

Applicability of Study

  • It to guide clinical decision-making, appraising applicability, quality, and results,

Bias of the Week

  • Confirmation bias means only looking for information that aligns with your interests.
  • Clinicians and researchers contribute to confirming the bias further
  • It can be reduced by blinding data to ensure valid results.

Distribution of Data

  • Normal distribution (symmetrical, bell-shaped curve), where most data points cluster around the mean)
  • Descriptiive statistics summarize and decscribe the main features of a dataset

Measures

  • Mean is the arithmetic average, while standard deviation measures data spread.
  • Median is the middle value (useful for skewed data), and range is the difference between highest and lowest values.

Confidence Intervals

  • (CIs) A range of values likely containing the population parameter.

Types of Data

  • Nominal data represents unordered categories (e.g., gender)
  • Ordinal data represents ordered categories with unequal intervals (e.g., pain scale).
  • Likert scale: Surveys which indicate respondent level of agreement

Continuous Data

  • Continuous (ratio) data includes ordered intervals and a true zero point (e.g., weight)
  • Interval data includes ordered with equal intervals and no true zero point (e.g., temperature Celsius).

Reliability Types

  • Intra-individual (intra-subject): Consistency of measurements within same individual over time (e.g., test-retest)
  • Intra-rater: Consistency by the same rater/observer across instances
  • Inter-rater: consistency between two or more raters

Reliability: Intraclass Correlation Coefficient (ICC)

  • ICC measures the reliability/consistency from 0 to 1, where closer to one correlates to a better reliability.

Hypothesis Testing

  • Statistics are used to test for rejection of the null hypothesis
  • Type I error (False Positive) occurs, while Type II error is (False Negative)

Inferential Statistics

  • Quantifies group difference or relationship strength.
  • Effect Size uses P-values while testing, where p < 0.05 correlates to strong evidence

Statistical Measures

  • NNT is number of patients needed for one to benefit that are then measured.
  • Relative Risk Reduction (RRR) is the percentage reduction in risk of an event between treatment groups
  • Absolute Risk Reduction (ARR) is the absolute difference between treatement and control groups

Clinical Outcome

  • Is what is assed at baseline
  • Measured during and post treatment, or at follow-up

Findings Types

  • There are two: change within a group or difference between groups that inform interpretation.
  • Change is the score on an outcome measure at follow up (ex. Follow up) minus the score on the same measure at an earlier time point (ex. Baseline) in order to measure mean change over time
  • Difference requires data from 2 groups of people

Treatment Effect

  • Between group differences (well designed studies) are referred to as treatment effects
  • Its the outcome differences that quantifies the treatment effectiveness

Within-Group vs. Between-Group

  • Identifying change within a group vs change between groups is key for true meaning

Constructs of Interest

  • The interpretation can determine treatment effectivenss for physical therapists
  • Statistical significance and clinical meaningfulness: are judged base don measurement
  • p-value: an inaccurate measure of evidence regarding treatment effectiveness

Sampling

  • Random sampling is key in recrutiting
  • People are recruited into the trial when there is no difference between groups and is common in clinic research.
  • Selection bias occurs when certain members of the population are preferentially recruited into the study

EBP week 6 - Reliability & Validity Lecture Notes

Clinical Outcome Studies

  • Compare existing clinic outcome measures (efficiency, utility, etc.)
  • To determine if new outcome is valid
  • How they relate to each other as well

Quantifying Validity

  • Validity is quantified with Cronbach's Alpha (correlation of different variables)
  • Handgrip Strength and BMI (Body Mass Index) are valid factors

Validity- Population

  • Validity refers to the idea that we're measuring what we intend to measure and must be considered in the population studied
  • It is not "black and white"--it depends

Body Composition

  • Relates to densitometry and Dissection of cadavers, in order to determine adipose tissure and the density of the muscle mass
  • Formally, reliability is the extent to which a measurement is free from error and gives the same answer
  • Measures that are not reliable can not be validated

Validity

  • Construct validity is tested against a "reference standard" in the case that there is no gold standard

Measure Concerns

  • There is practical concerns to consider
  • It may include administration time, patient understanding and data storage as well as future use

Clinical Meaningfulness

  • It uses anchor method to compare changes (MIC, MCID) with a a cost-benefit perspective that has important contextual factors

Critically Appraise the Applicability and Quality

  • The process of appraising a research study for its applicability (similarities between study participants) and its quality.

Factors in Determining Applicability

  • Factors include sample size (too small undermines validity), and also the Intervention proposed including the feasibility of the intervention for you and your clinic

Recruiting a Study Sample

  • Includes patients who meet Inclusion and exclusion criteria for the study
  • There are also alternative methods of Selective sampling, involving orthopedic surgeons referring patients
  • Details about who dropped out of a study and reasons for dropout from subjects within the sample.

Intention-to-treat Analysis

  • When subjects drop out from the intention-to-treat: subjects are measured even if they did finish the study, and placed in groups randomized

Notation

  • Research notation is a helpful shorthand to diagram the design of an intervention study (R, X, O) terms

Terms

  • Applicability is the process of evaluating a study and determining what specific people might benefit from the intervention

Efficacy & Effectivness

  • Efficacy – Under controlled conditions , Effectivness-speaks of treatment results vs best case environmen.

Power & Sample Size

  • If the study had the power to detect the treatment if it exists, the sample size is sufficient
  • If a sufficient sample is used, and there’s no detected treatment – the treatment likely is ineffective

Appraisal Process

  • Descriptive statistical appraising used to summarize information to identify an outcome (bottom line)

Normaility and Mean

  • Normality can be tested for skew
  • Nonnomrally distributed (skewed)

Descriptive Statistics

  • Measures of center of Data
  • Mean-Average Number in set
  • Median refers to the point below which half of the observations fall

Measures on Standard Deviation

  • Bias used to know how big a differenc was between treatment groups
  • Effect size d measures of standard deviation with rating scale

Inter / Intra Rater and Errors

  • It can be the repeatability between two or more therapists measuring the same patient or the repeatability of a measure by the same therapist
  • There is a Risk in study of Type 1 and Type 2 errors.

What is Bonferroni?

  • Bonferroni correction is a small correction to increase accuracy, it also takes into accounts number of statistical compares during analysis

Reliability Statistics vs the Scales: Methods of measurement on continuous/ categorical measurements - Kappa,etc

-A categorical and ordered scale that has specific numbers and in between values, like 1 stongly-disagree/5 strongly aggree

Key Concepts of Descriptive Statistics

  • Used to summarize information and will be in tables
  • Will give you an impression of the results of a study
  • Look for confidence intervals and Clinically meaningful statistics

Finding Research on Measurments

  • The most popular and useful method to find research is through using Pubmed.

Outcome Measure Types

  • Two commonly used types of measurements
  • Questionaire -Patient independently completes the questionare
  • Psychometic properties- Reliable measurment that tests specific traits

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