Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Validating a novel web-based method to capture disease progression outcomes in multiple sclerosis.

Sara Leddy1, Shahrzad Hadavi, Andrew McCarren

  • 1Barts and the London School of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK.

Journal of Neurology
|June 29, 2013
PubMed
Summary

A new web-based tool shows strong agreement with the physician-assessed Expanded Disability Status Scale (EDSS) for monitoring multiple sclerosis (MS) severity remotely. This patient-centered approach offers high satisfaction and potential for long-term disease management.

Related Concept Videos

Data Validation01:03

Data Validation

6.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.3K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

3.6K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
3.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A pragmatic evaluation of community-based lymphoedema services for individuals at risk of, or living with, cancer-related lymphoedema.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026
Same author

Temporal Changes and Between-Competition Differences in the Activity Profile of Elite Hurling Referees.

Journal of functional morphology and kinesiology·2024
Same author

Identifying Trajectories of Change in Burnout Symptoms of Gaelic Games Athletes Over Two Consecutive Seasons.

Journal of sport & exercise psychology·2024
Same author

'The illness isn't the end of the road'-Patient perspectives on the initiation of and early participation in a multi-disease, community-based exercise programme.

PloS one·2024
Same author

Safety, feasibility and effectiveness of the remotely delivered Pulmonary Hypertension and Home-Based (PHAHB) physical activity intervention.

ERJ open research·2024
Same author

A two-arm non-randomised trial of MedEx IMPACT: a community-based, physical activity behaviour change intervention for survivors of cancer.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2024

Area of Science:

  • Neurology
  • Medical Informatics
  • Clinical Assessment

Background:

  • The Expanded Disability Status Scale (EDSS) is the standard for multiple sclerosis (MS) severity assessment.
  • Physician-based EDSS limits remote monitoring capabilities.
  • A patient-reported outcome measure could enhance remote data capture.

Purpose of the Study:

  • To evaluate an internet-based tool as a patient-related surrogate for the physician-measured EDSS.
  • To assess the correlation and agreement between online EDSS scores and traditional physician assessments.
  • To gauge patient satisfaction with a web-based disability assessment for MS.

Main Methods:

  • Eighty-one MS patients with EDSS scores (0-8) participated in a web-based survey.
  • EDSS scores from the online survey were compared to physician-measured scores using statistical analyses.

Related Experiment Videos

  • Methods included ANOVA, matched pair tests, Pearson's coefficient, weighted kappa, and intra-class correlation.

    • Main Results:

    • The internet-based EDSS demonstrated good correlation with physician assessments (Pearson's r = 0.85).
    • Weighted kappa for full agreement was 0.647, with higher agreement in patients with EDSS scores of 5.5-6.
    • The intra-class correlation coefficient was 0.844 overall, indicating strong reliability.

    Conclusions:

    • Internet-based EDSS assessment shows good agreement with physician measurements.
    • The tool is particularly effective for patients with higher disability scores.
    • A web-based assessment tool is a valuable option for long-term MS monitoring.