A qualitative study showing that a telecare tool can have benefits before and during the initial hearing assessment appointment.
Eithne HeffernanDavid W MaidmentMelanie A FergusonPublished in: International journal of audiology (2022)
Objective: To examine patient and audiologist experiences and perspectives of using a patient-centred telecare tool, the Ida Institute's Why Improve My Hearing? (WIMH) Tool, before and during the initial hearing assessment appointment. Design: A qualitative study comprising individual semi-structured interviews using a maximum variation sampling strategy. The data were analysed using an established thematic analysis technique. Study sample: Fifteen participants, including ten patients (i.e. adults with hearing loss) and five audiologists, were recruited from Adult Audiology Services within the United Kingdom's publicly-funded National Health Service (NHS). Results: Three themes described the impact of using the WIMH Tool. Theme 1 (i.e. enhanced preparation before the appointment): the Tool helps patients to better understand and accept their hearing difficulties in advance of their first appointment. Theme 2 (i.e. enriched discussion during the appointment): the tool can enhance patient-centred communication, as well as the efficiency of the appointment. Theme 3 (i.e. varied impact on outcomes following the appointment): the Tool can improve patient motivation, readiness, and involvement in decision-making, though it may have limited impact on additional outcomes, such as adherence. Conclusion: The WIMH Tool can be successfully implemented in audiological practice, resulting in benefits before and during the initial hearing assessment appointment.
Keyphrases
- hearing loss
- end stage renal disease
- case report
- healthcare
- chronic kidney disease
- newly diagnosed
- ejection fraction
- primary care
- mental health
- peritoneal dialysis
- decision making
- prognostic factors
- cross sectional
- type diabetes
- deep learning
- patient safety
- patient reported
- artificial intelligence
- molecularly imprinted
- data analysis
- childhood cancer