Validation of an Online Knee Pain Map and Questionnaire: A Probabilistic Diagnostic Tool
Alidation of an Online Knee Pain Map and Questionnaire: A Probabilistic Diagnostic Tool
1 other identifier
observational
1,000
1 country
1
Brief Summary
"Blank" has designed a medical diagnostic system in the form of an unvalidated online questionnaire and drawing tool used to describe and identify the location of knee pain, respectively. A component of the survey includes the patient inputting their diagnosis as the etiology of their knee pain. Dr. Ivo Dinov's team has used the data from 100,000 patient surveys to construct a probabilistic model to diagnose those who fill out the questionnaire and knee pain map but do not have a diagnosis. However, the validity of the online survey and the accuracy of the probabilistic model has not been confirmed in patients with known diagnoses. Therefore, the purpose of this study will be to recruit patients with knee pain at UCLA orthopedic clinics to complete the online survey which will then be applied to the probabilistic model to output possible diagnoses. The results will be compared to the actual diagnosis assigned to that patient in the clinic. If validated, the online survey may serve as a tool for diagnostic and research purposes.
Trial Health
Trial Health Score
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participants targeted
Target at P75+ for all trials
1 active site
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Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2011
CompletedFirst Submitted
Initial submission to the registry
December 6, 2011
CompletedFirst Posted
Study publicly available on registry
December 14, 2011
CompletedMarch 27, 2012
March 1, 2012
December 6, 2011
March 26, 2012
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The ability of the UCLA modeling software to predict diagnosis based on questionnaire answers
UCLA has developed modeling software that may be accurate at predicting diagnoses depending on the answers given by patients to an online questionnaire and knee pain drawing map. The accuracy of the software has not been tested or validated. This study will determine the accuracy of this software by comparing UCLA orthopedic surgeon input diagnosis to that output by the modeling software following completion of the questionnaire by study participants.
One year
Secondary Outcomes (1)
Accuracy of patient input diagnosis compared to orthopedic surgeon diagnosis
One Year
Study Arms (1)
Patients with knee pain and a known diagnosis
Eligibility Criteria
Patients older than 18 years old with knee pain that contains a known diagnosis for their pain.
You may qualify if:
- patients with knee pain and a known diagnosis for their pain
- patients older than 18 years old
You may not qualify if:
- patients that are unable or unwilling to complete the online survey.
- patients who do not have a diagnosis for their knee pain
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Brock Fosterlead
Study Sites (1)
UCLA
Los Angeles, California, 90095, United States
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Mr.
Study Record Dates
First Submitted
December 6, 2011
First Posted
December 14, 2011
Study Start
December 1, 2011
Last Updated
March 27, 2012
Record last verified: 2012-03