Validation of an Online Knee Pain Map and Questionnaire: A Probabilistic Diagnostic Tool

March 26, 2012 updated by: Brock Foster

Alidation of an Online Knee Pain Map and Questionnaire: A Probabilistic Diagnostic Tool

"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.

Study Overview

Status

Terminated

Conditions

Study Type

Observational

Enrollment (Anticipated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • California
      • Los Angeles, California, United States, 90095
        • UCLA

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients older than 18 years old with knee pain that contains a known diagnosis for their pain.

Description

Inclusion Criteria:

  • patients with knee pain and a known diagnosis for their pain
  • patients older than 18 years old

Exclusion Criteria:

  • patients that are unable or unwilling to complete the online survey.
  • patients who do not have a diagnosis for their knee pain

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Patients with knee pain and a known diagnosis

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The ability of the UCLA modeling software to predict diagnosis based on questionnaire answers
Time Frame: One year
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
Accuracy of patient input diagnosis compared to orthopedic surgeon diagnosis
Time Frame: One Year
Patients may inaccurately input "known diagnoses" into the online questionnaire because they were diagnosed inaccurately by their doctor, input the wrong diagnosis into the questionnaire by accident, or were never diagnosed with a condition but they input a diagnosis. Therefore, because the modeling software is contingent on accurate patient input diagnoses, determining if patients accurately input their diagnoses into the questionnaire by comparing surgeon input diagnosis to patient input diagnosis may be helpful in elucidating modeling inaccuracy.
One Year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Brock Foster

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

December 1, 2011

Study Registration Dates

First Submitted

December 6, 2011

First Submitted That Met QC Criteria

December 12, 2011

First Posted (Estimate)

December 14, 2011

Study Record Updates

Last Update Posted (Estimate)

March 27, 2012

Last Update Submitted That Met QC Criteria

March 26, 2012

Last Verified

March 1, 2012

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 11-003024

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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