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The Minimum Data Set: An Opportunity to Improve Spasticity Screening.

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Spasticity, a movement disorder, is often missed in long-term care. Integrating spasticity screening questions into the Minimum Data Set (MDS) can improve diagnosis and treatment for residents.

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Area of Science:

  • Neurology
  • Geriatrics
  • Rehabilitation Medicine

Background:

  • Spasticity is a common, yet often underdiagnosed, central nervous system movement disorder.
  • Untreated spasticity leads to functional limitations, pain, and reduced mobility, particularly impacting long-term care residents.
  • A lack of spasticity-trained professionals contributes to the underrecognition of this condition in long-term care settings.

Purpose of the Study:

  • To propose the integration of spasticity screening into the Minimum Data Set (MDS) for improved diagnosis and treatment.
  • To address the underdiagnosis of spasticity in federally funded long-term care facilities.
  • To enhance the recognition and management of spasticity through a standardized screening tool.

Main Methods:

  • Review of the prevalence and impact of spasticity in long-term care.
  • Evaluation of the Minimum Data Set (MDS) as a platform for spasticity screening.
  • Proposal for the expansion of the MDS with specific spasticity assessment questions.

Main Results:

  • Spasticity is prevalent in long-term care but frequently unrecognized.
  • The MDS is a suitable, government-mandated tool for comprehensive resident assessment.
  • A spasticity referral tool exists and can be integrated into the MDS.

Conclusions:

  • Expanding the MDS with spasticity-focused questions can significantly improve the identification and treatment of spasticity in long-term care.
  • Standardized screening via the MDS can help overcome the challenge of underdiagnosis due to a lack of specialized practitioners.
  • This approach offers a practical strategy to manage a prevalent and treatable condition, improving resident mobility and quality of life.