Are hearing aid owners able to identify and self-report handling difficulties? A pilot study

<p><i>Objective</i>: Although clinician administered surveys evaluating hearing aid handling skills exist, the development of a self-administered version may reduce clinical load, save consultation time, and facilitate more frequent use than face-to-face consultations allow. However, there is currently no evidence to support whether hearing aid owners can accurately self-report hearing aid handling skills via self-report survey that systematically evaluates the ability to accurately perform the individual aspects of hearing aid handling required for effective hearing aid management. <i>Design</i>: An explorative pilot study using a prospective research design. <i>Study sample</i>: Nineteen adult hearing aid owners, aged between 65 and 93 years. <i>Results</i>: The self-administered survey demonstrated high sensitivity when compared with clinician evaluation of skills, with 93% of participants accurately self-identifying and reporting whether hearing aid handling skill training was required. <i>Conclusions</i>: Hearing aid owners are able to accurately self-report hearing aid handling difficulties when provided with an itemised list of skills.</p

Means, standard deviations and standardised factor loadings for PDSS-R data.

<p>Means, standard deviations and standardised factor loadings for PDSS-R data.</p

Diagram of confirmatory bifactor model: Regression coefficients for all significant paths.

<p>Squares represent measured variables, circles represent latent variables, curved lines are where we have allowed covariance of error terms to improve model fit.</p

Correlations between confirmatory bifactor model factor scores and participant characteristics.

<p>Correlations between confirmatory bifactor model factor scores and participant characteristics.</p

Model fit indices for the 1 factor CFA, the 3 factor CFA and the confirmatory bifactor model.

<p>Model fit indices for the 1 factor CFA, the 3 factor CFA and the confirmatory bifactor model.</p