The Step Test Evaluation of Performance on Stairs (STEPS): Validation and reliability in a neurological disorder

PLoS One. 2019 Mar 21;14(3):e0213698. doi: 10.1371/journal.pone.0213698. eCollection 2019.

Abstract

Background: Individuals with neurological disorders often have difficulty negotiating stairs that can lead to injurious falls. Clinicians lack a clinical tool to identify impairments in stair negotiation and to assist their decision making regarding treatment plans to improve stair performance and safety. We developed a new tool called the Step Test Evaluation of Performance on Stairs (STEPS) that is designed to assess stair performance and safety in neurological populations.

Objectives: This study aimed to determine interrater and intrarater reliability of STEPS and its concurrent content validity to various clinical balance and mobility measures using individuals with Huntington's disease (HD) as the first test population.

Methods: Forty individuals with HD (mean age 50.35) participated. Three observers rated live performances of the STEPS (interrater reliability) and seven observers rated videotaped performances twice (intrarater reliability). STEPS scores correlated with clinical mobility and balance test scores.

Results: Excellent inter- and intrarater reliability (ICCs = 0.91 and 0.89 respectively) and good internal consistency (α = 0.83) were found. Better STEPS performance correlated with better performance on co-administered motor and mobility measures and Stair Self-Efficacy scores. Per multivariable regression analysis, the Unified Huntington's Disease Rating Scale modified motor score and descent time were significant predictors of STEPS performance.

Conclusions: The STEPS tool is easy to administer, requires no special devices and can be completed in less than five minutes. In the HD test population, it shows high reliability and validity making it a potentially useful tool for assessing maneuverability and safety on stairs in HD. The results suggest that the STEPS tool warrants further study to determine STEPS cut-off values for fall prediction in HD and may prove useful as an assessment tool for other neurological disorders.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidental Falls / prevention & control
  • Adult
  • Aged
  • Exercise Test / methods*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Nervous System Diseases / diagnosis*
  • Nervous System Diseases / physiopathology
  • Regression Analysis
  • Young Adult

Grants and funding

This study was supported by the Robert A. Vaughan Family Fund and by the Neuroscience Research Institute at The Ohio State University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.