Minimal Clinically Important Difference (MCID) in the Functional Status Measures in Patients with Stroke: Inverse

Yu-Chien Chang1, Hsiu-Fen Lin2,3, Yu-Fu Chen4

  • 1Division of Neurology, Department of Internal Medicine, Yuan's General Hospital, Kaohsiung 80249, Taiwan.

Journal of Clinical Medicine
|September 28, 2023
PubMed

Insights

Patients receiving post-acute care (PAC) and those with hemorrhagic stroke showed greater functional status improvements after rehabilitation. Several factors, including PAC participation and stroke type, influence clinically important changes in functional status measures.

Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Clinical Outcomes Research

Background:

  • Stroke recovery involves functional status changes over time.
  • Defining clinically meaningful improvements is crucial for patient-centered care.
  • Identifying factors influencing functional recovery aids in personalized rehabilitation strategies.

Purpose of the Study:

  • To evaluate temporal trends in functional status after stroke.
  • To define the minimal clinically important difference (MCID) for functional status measures.
  • To identify risk factors associated with deterioration in MCID.

Main Methods:

  • Prospective cohort study of 831 stroke patients (680 ischemic, 151 hemorrhagic).
  • Functional status measures assessed at baseline, 12 weeks, and 2 years post-rehabilitation.
  • Statistical analysis to determine MCID and associated risk factors.

Main Results:

  • Post-acute care (PAC) patients and hemorrhagic stroke patients showed significantly greater functional improvements.
  • MCID improvement ranged from 0.01 to 18.43 points; deterioration ranged from 0.38 to 17.26 points.
  • PAC, age, stroke type, and baseline status were significant predictors of MCID deterioration.

Conclusions:

  • Functional status improvements in stroke patients can be clinically meaningful.
  • PAC participation and hemorrhagic stroke type are associated with better outcomes.
  • Understanding risk factors for deterioration can guide interventions to optimize recovery.