Osteoarthritis Outcome Score
Osteoarthritis Outcome Score - Related Videos
07:58
Establishment of a Surgically-induced Model in Mice to Investigate the Protective Role of Progranulin in Osteoarthritis
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Cited by 47 •
2014
We describe a protocol for the destabilization of the medial meniscus (DMM) model in mice, an effective tool for osteoarthritis (OA) research. In addition, we have demonstrated that deficiency of progranulincan exaggerate OA development and progression by using this model, indicating that progranulin plays a protective role in the pathogenesis of OA.
09:26
The Monoiodoacetate Model of Osteoarthritis Pain in the Mouse
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Cited by 181 •
2016
Osteoarthritis (OA), or degenerative joint disease, is a debilitating condition associated with pain that remains only partially controlled by available analgesics. Animal models are being developed to improve our understanding of OA-related pain mechanisms. Here we describe the methodology for the monoiodoacetate model of OA pain in the mouse.
10:07
Using Learning Outcome Measures to assess Doctoral Nursing Education
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Cited by 2 •
2010
The structure and process for measuring student learning outcomes through customizable assessment rubrics is discussed and applied to a doctoral nursing education program.
06:28
Anterior Cruciate Ligament Transection and Synovial Fluid Lavage in a Rodent Model to Study Joint Inflammation and Posttraumatic Osteoarthritis
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2025
Herein, we describe a surgical method to transect the anterior cruciate ligament (ACL) as a reliable model to induce knee osteoarthritis in rodents and methodologies for harvesting knee synovial fluid, measuring knee edema, and assessing osteoarthritis severity.
01:06
Introduction to z Scores
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2023
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one. z scores help...
FAQs
The domain structure prevents a single overall impression from obscuring important differences in a patient’s experience. Pain, symptoms, functional limitations, and quality of life can change at different rates, so examining their scores separately helps clinicians identify which aspects of osteoarthritis remain most burdensome and which have improved.
Physical examination and imaging provide clinical or structural information, but they may not fully show how osteoarthritis affects daily activities or perceived well-being. Patient responses contribute the individual’s experience directly, allowing clinicians to consider disease impact from both objective assessment and the patient’s perspective when evaluating care.
Results from repeated assessments can show whether reported pain, symptoms, functional difficulty, or quality of life have changed between visits. Comparing domain scores across time helps clinicians monitor the course of disease and examine responses after treatment, while comparison across treatment groups supports evaluation of whether outcomes differ in a study.
Patients complete structured questions by rating their experiences and the difficulty they encounter with activities. Those responses are then combined into scores for the relevant domains. The resulting values can be recorded at successive visits or for different treatment groups, creating a consistent basis for reviewing patient-reported outcomes.
Clinicians can use it when they need to monitor the burden of osteoarthritis from the patient’s viewpoint or assess change after treatment. Reviewing results over successive visits may reveal improvement or persistent problems in specific domains, helping place the patient’s reported experience alongside physical examination and imaging findings.
In clinical research, standardized domain scores allow investigators to evaluate how an intervention affects pain, symptoms, functional limitations, and quality of life. Because the same structured approach can be applied across treatment groups, the measure supports consistent comparison of patient outcomes and helps describe treatment-related changes in a study population.