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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
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A Clinical Care Algorithm for Detecting Progression in Multiple Sclerosis: RetratEMos Project.

José E Meca-Lallana1,2, René Robles3, Lamberto Landete4

  • 1Clinical Neuroimmunology Unit, Neurology Department, "Virgen de la Arrixaca" Clinical University Hospital (IMIB-Arrixaca), Murcia, ESP.

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|December 20, 2024
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Summary

This study introduces a new algorithm to help doctors identify secondary progressive multiple sclerosis (SPMS) earlier. The tool is effective and feasible for detecting disease progression in clinical practice.

Keywords:
algorithmclinical practicemultiple sclerosisprogressionsecondary progressive multiple sclerosis

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Area of Science:

  • Neurology
  • Clinical Medicine
  • Disease Progression Monitoring

Background:

  • Secondary progressive multiple sclerosis (SPMS) diagnosis is often delayed due to retrospective establishment.
  • Early detection of SPMS is crucial for timely intervention and management.

Purpose of the Study:

  • To develop and evaluate a clinical care algorithm for facilitating the recognition of SPMS.
  • To assess the algorithm's usefulness and feasibility in routine clinical practice.

Main Methods:

  • Algorithm development involved selecting validated progression detection tools.
  • Tools were assessed for applicability, time, and perceived usefulness.
  • Feasibility was evaluated through application in clinical practice with 373 patients (EDSS ≥ 2).

Main Results:

  • A hierarchical algorithm with screening and functional examination phases was created.
  • Screening involved "Your MS," "MSProDiscuss," and "Nomogram"; functional tests included SDMT, 9-HPT, and T25FW.
  • Mean times were 8 minutes (screening) and 20.4 minutes (complete algorithm); 46% of cases indicated further exploration.

Conclusions:

  • The clinical care algorithm is effective and feasible for detecting MS progression.
  • Successful implementation requires organization and may vary based on center resources.