Toward a Digital Health Intervention for Vestibular Rehabilitation: Usability and Subjective Outcomes of a Novel Platform.
Front Neurol
; 13: 836796, 2022.
Article
in English
| MEDLINE | ID: covidwho-1855398
ABSTRACT
Digital technologies are increasingly available and are reducing in cost. There is an opportunity to move to a digital health approach in vestibular rehabilitation (VR), but there is a paucity of suitable systems available and a consequent lack of evidence to support their use. This study aimed to investigate a novel digital platform developed specifically for VR (comprising clinician software, a wearable sensor, and a patient-facing app). Participants (n = 14, 9F5M, mean age 59) with vestibular dysfunction and imbalance used the app for treatment, and therapists (n = 4) used the platform to deliver VR in the form of individualized exercise programmes over a mean of 17.4 ± 8.8 weeks. Outcomes included the system usability scale, the patient enablement instrument (PEI), change in subjective symptoms (numerical rating scales), percentage adherence to prescribed exercise, and a semi-structured interview on utility. A significant reduction was found in symptoms of vertigo/dizziness (p < 0.004), imbalance (p < 0.002), oscillopsia (p < 0.04), and anxiety (p < 0.02) after use. System usability scores were high for both clinicians (mean 85/100) and participants (mean 82.7/100) and high enablement was reported (mean PEI 6.5/12). Overall percentage adherence to the exercise prescription was highly variable and ranged from 4 to 78% when measured digitally. At semi-structured interviews, participants reported a high level of acceptance and satisfaction with digital delivery, and no adverse events were recorded. When COVID-19 restrictions eased, 2 participants trialed the head sensor with the application and found it highly usable. Further research is required to investigate the efficacy and how the wearable sensor impacts the delivery of care.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Experimental Studies
/
Prognostic study
/
Qualitative research
Language:
English
Journal:
Front Neurol
Year:
2022
Document Type:
Article
Affiliation country:
Fneur.2022.836796
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