CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 94 enrolled
Drug / intervention
Mobile-enabled RLOs (mRLOs)other
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT03136718
NCT03136718N/ACompleted

The Feasibility of mHealth Technologies to Improve Hearing Aid Use and Benefit in First-time Hearing Aid Users

Nottingham University Hospitals NHS Trust·observational·Posted May 2, 2017·Updated Mar 7, 2019

In Brief

An observational study evaluating Mobile-enabled RLOs (mRLOs) for Hearing Loss. Completed, enrolled 94 participants across 1 site.

Detailed Summary

This study will establish the feasibility of a theoretically-driven, personalised educational intervention delivered through mobile technologies in first-time hearing aid users. Namely, the C2Hear (https://www.youtube.com/C2HearOnline) multimedia videos, or Reusable Learning Objects (RLOs) (Ferguson et al., 2015; 2016), will be repurposed into short 'bite-sized' mobile-enabled RLOs (mRLOs).The development of the intervention will be based on a recently developed comprehensive model of health behaviour change (COM-B) (Michie et al., 2014). The intervention will be tailored to individuals' needs, and incorporate greater user interactivity and self-evaluation.

Study Details

Study Typeobservational
Allocation--
Masking--
Primary Purpose--
ConditionsHearing Loss
CountriesUnited Kingdom

Timeline

N/ACompletedFinished
2017201820192020202120222023202420252026
First PostedMay 2, 2017
Enrollment StartApr 1, 2017
Primary CompletionAug 9, 2018
Study CompletionOct 24, 2018
TodayJul 2, 2026
Enrollment to primary: 1.4 yearsPosted 9.2 years ago

Interventions

Mobile-enabled RLOs (mRLOs)other

A theoretically-driven, personalised educational intervention delivered through mobile technologies based on the C2Hear (https://www.youtube.com/C2HearOnline) RLOs. The mRLO intervention will include shorter 'bite-sized' RLOs suitable for mobile technologies. This will allow a unique dynamic tailoring approach, whereby relevant mRLOs will be provided based on the user's responses to a self-evaluation filter aid, which will enable individualised, tailored learning.