A Primer on Examination and Treatment Metrics
Presented by Eric Hegedus
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In this course, learners will be introduced to the Pain and Disability Drivers Management model and gain a greater understanding of the metrics that govern the examination and treatment processes. The examination process is based fundamentally on an understanding of epidemiology and measures such as prevalence and incidence. Examination metrics include measures like sensitivity, specificity, and likelihood ratios, applied with the goal of modifying pretest probability to get closer to some diagnosis (ruling in) and further away from others (ruling out). The goal of intervention is to produce superior patient outcomes. This course will provide a brief overview of outcome measures and discuss common treatment metrics, including p-value, effect size, and number needed to treat. In addition, prognostic factors will be discussed as they relate to outcomes and important measures like the minimal detectable change. This course is part of a comprehensive clinical series covering examination and intervention for the cervical, thoracic, and lumbar spine, as well as the upper (shoulder, elbow, wrist, and hand) and lower (hip, pelvis, knee, foot, and ankle) quarters.
Meet your instructor
Eric Hegedus
Dr. Eric J. Hegedus has had a notable 21-year career as a leader and innovator in physical therapist education, research, and clinical practice and is founding chair of the Doctor of Physical Therapy Department at High Point University. Dr. Hegedus also is founder and director of Targeted Enhanced Athletic Movement (TEAM), a…
Chapters & learning objectives
1. Orthopedic Excellence Series Introduction
In this chapter, learners will be introduced to the Orthopedic Excellence Series and the constructs of this series, including the Pain and Disability Drivers Management model. Learners will become familiar with common epidemiological terms and statistics that govern diagnostic accuracy and their clinical application.
2. Helpful Epidemiological Terms
In this chapter, learners will be introduced to terms that are helpful to understand when contemplating valuable information from a patient history, like incidence, prevalence, risk, and prognosis.
3. Screening and Diagnosis
In this chapter, learners will gain a greater understanding of the language of diagnosis and explore the importance of screening, diagnostic accuracy, and quality of diagnostic accuracy studies.
4. Measuring Outcomes and Treatment Effects
In this chapter, learners will become familiar with the categories of outcome measures and the importance of these measures in performing a thorough patient interview as well as an assessment of treatment effect. Statistics such as minimal detectable change, measures of effect, and floor/ceiling effects will be discussed.
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