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.This study evaluated the preliminary discriminative validity of smartphone ACC application during the Modified Clinical Test of Sensory Inte...
| Publicado en: | NeuroRehabilitation p. 1 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195577419&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195577419 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10538135 3RE jtl: NeuroRehabilitation issn: 10538135 maglogo: N pubinfo: dt: Jul2026 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 195577419 10.1177/10538135261470441 195577419 ppf: 1 formats: fmt: @attributes: type: P tig: atl: 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. aug: au: Pooranawatthanakul, Kanokporn Khumduang, Nichaporn Utoomprurkporn, Nattawan Siriphorn, Akkradate affil: Department of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand sug: ab: : Objective, accessible tools are needed to screen fall risk in vestibular patients. Smartphone-based accelerometry (ACC) offers a practical, scalable solution.This 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.In 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.AUCs 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.The 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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