Evaluating the Discriminative Validity of a Smartphone-Based Accelerometer Application During the Modified Clinical Test of Sensory Interaction on Balance to Screen Fall Risk in Vestibular Patients

Objective, accessible tools are needed to screen fall risk in vestibular patients. Smartphone-based accelerometry (ACC) offers a practical, scalable solution.ObjectivesThis study evaluated the preliminary discriminative validity of smartphone ACC application during the Modified Clinical Test of Sensory Interaction on Balance (mCTSIB) to differentiate vestibular patients with and without a fall history.MethodsIn this cross-sectional study, 42 vestibular patients were classified as fallers (n = 16) or non-fallers (n = 26) based on a 12-month retrospective self-reported history. Postural sway was quantified via resultant root mean square (RMS) acceleration using a custom Android application during four mCTSIB conditions. Area under the curve (AUC) was calculated using receiver operating characteristic analysis, with DeLong's test comparing AUCs. Spearman's rank correlation assessed associations with Mini-BESTest.ResultsAUCs ranged from 0.681 to 0.798, indicating acceptable-to-good preliminary discriminatory capacity, though wide confidence intervals were present and condition AUCs did not differ statistically. The eyes closed-firm condition demonstrated high specificity (96.1%) and a strong positive likelihood ratio (LR+=14.63), suggesting utility as a highly specific "rule-in" screening task, while eyes open-foam yielded the highest AUC (0.798). Significant negative correlations occurred between application RMS metrics and total Mini-BESTest scores across all conditions (ρ = -0.410 to -0.525, p < .05), with eyes closed-foam specifically associating with reactive postural control and dynamic gait subscores.ConclusionsThe application demonstrates preliminary discriminative validity for screening fall risk within vestibular cohorts. Due to modest sensitivity, wide confidence intervals, and the study's cross-sectional nature, this tiered pathway remains strictly exploratory; prospective longitudinal validation is warranted.

Authors

Institutions

Publication Details

Journal
Neurorehabilitation
Published
2026-07-24
DOI
https://doi.org/10.1177/10538135261470441
Primary Topic
Vestibular and auditory disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Discriminative Validity of a Smartphone-Based Accelerometer Application During the Modified Clinical Test of Sensory Interaction on Balance to Screen Fall Risk in Vestibular Patients

Akkradate Siriphorn, Kanokporn Pooranawatthanakul, Nattawan Utoomprurkporn, Nichaporn Khumduang
Neurorehabilitation
Vestibular and auditory disorders
article

Evaluating the Discriminative Validity of a Smartphone-Based Accelerometer Application During the Modified Clinical Test of Sensory Interaction on Balance to Screen Fall Risk in Vestibular Patients

Akkradate Siriphorn, Kanokporn Pooranawatthanakul, Nattawan Utoomprurkporn, Nichaporn Khumduang
article en

Abstract

Objective, accessible tools are needed to screen fall risk in vestibular patients. Smartphone-based accelerometry (ACC) offers a practical, scalable solution.ObjectivesThis study evaluated the preliminary discriminative validity of smartphone ACC application during the Modified Clinical Test of Sensory Interaction on Balance (mCTSIB) to differentiate vestibular patients with and without a fall history.MethodsIn this cross-sectional study, 42 vestibular patients were classified as fallers (n = 16) or non-fallers (n = 26) based on a 12-month retrospective self-reported history. Postural sway was quantified via resultant root mean square (RMS) acceleration using a custom Android application during four mCTSIB conditions. Area under the curve (AUC) was calculated using receiver operating characteristic analysis, with DeLong's test comparing AUCs. Spearman's rank correlation assessed associations with Mini-BESTest.ResultsAUCs ranged from 0.681 to 0.798, indicating acceptable-to-good preliminary discriminatory capacity, though wide confidence intervals were present and condition AUCs did not differ statistically. The eyes closed-firm condition demonstrated high specificity (96.1%) and a strong positive likelihood ratio (LR+=14.63), suggesting utility as a highly specific "rule-in" screening task, while eyes open-foam yielded the highest AUC (0.798). Significant negative correlations occurred between application RMS metrics and total Mini-BESTest scores across all conditions (ρ = -0.410 to -0.525, p < .05), with eyes closed-foam specifically associating with reactive postural control and dynamic gait subscores.ConclusionsThe application demonstrates preliminary discriminative validity for screening fall risk within vestibular cohorts. Due to modest sensitivity, wide confidence intervals, and the study's cross-sectional nature, this tiered pathway remains strictly exploratory; prospective longitudinal validation is warranted.

Neurorehabilitation
Chulalongkorn University (TH)
Reduced inequalities
Openalex Percentile: Top 11%
Vestibular and auditory disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.