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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
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Shared decision-making in patients with multiple sclerosis.

Dirk T Ubbink1, Olga C Damman2, Brigit A de Jong3

  • 1Department of Surgery, Amsterdam University Medical Centers, Public Health Research Institute, University of Amsterdam, Amsterdam, Netherlands.

Frontiers in Neurology
|November 28, 2022
PubMed
Summary
This summary is machine-generated.

Shared decision-making (SDM) is crucial for managing multiple sclerosis (MS). Implementing SDM requires training, patient engagement, and tailored information delivery for optimal care in MS patients.

Keywords:
multiple sclerosispatient empowermentpatient-centered careshared decision-makingvalue-based healthcare

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Area of Science:

  • Neurology
  • Health Services Research
  • Patient-Centered Care

Background:

  • Multiple sclerosis (MS) is a chronic, unpredictable neurological disorder affecting physical, cognitive, and psychosocial health.
  • The increasing number of disease-modifying therapies necessitates effective patient involvement in treatment decisions.
  • Shared decision-making (SDM) is vital for optimizing care and outcomes in individuals with MS.

Purpose of the Study:

  • To outline a framework for achieving SDM in patients with MS.
  • To identify key elements for successful SDM implementation in MS care.
  • To explore the role of communication, information provision, and system support in SDM for MS.

Main Methods:

  • Review and application of established SDM frameworks to the context of MS.
  • Emphasis on communication training for healthcare professionals and patient engagement strategies.
  • Discussion of information delivery methods, considering MS-specific patient challenges like cognitive dysfunction and fatigue.
  • Proposal for systemic integration of patient preferences within multidisciplinary MS teams.

Main Results:

  • Effective SDM in MS requires professional training, patient encouragement, and balanced, evidence-based information delivery.
  • Information provided to MS patients must be carefully dosed, considering cognitive and fatigue symptoms.
  • A system ensuring the implementation of patient preferences by multidisciplinary teams is essential for broader communication.
  • Patient-reported outcome measures (PROMs) and Patient Decision Aids are valuable tools for SDM in value-based healthcare.

Conclusions:

  • Achieving optimal care for MS patients hinges on robust shared decision-making processes.
  • Systematic implementation of SDM, supported by appropriate tools and training, can improve outcomes for individuals with MS.
  • Integrating patient preferences and utilizing outcome data are key to advancing SDM in MS care within value-based healthcare models.