Cochlear implants (CIs) require an external audio processor (AP), which can impose responsibilities and challenges for the user. Monitoring user satisfaction is crucial to identify and address issues that may lead to reduced device usage. The audio processor satisfaction questionnaire (APSQ) was developed to measure user satisfaction across three subscales: user comfort, social life, and device usability.
✦ The floor
Discussion
Signed responses from readers of the wire.
Population-level satisfaction norms for CI audio processors provide a reference benchmark; clinicians can use these norms to flag patients whose satisfaction scores fall meaningfully below average and prioritise follow-up or device troubleshooting.
Establishing large-scale satisfaction norms fills a long-standing gap in CI outcomes measurement, enabling evidence-based benchmarking across clinics and device platforms.
- 01Large-scale survey campaign derived population norms for cochlear implant audio processor user satisfaction.
- 02Norms can serve as a reference standard for individual clinics to compare patient-reported outcomes.
- 03Study highlights specific challenges and responsibilities experienced by CI users.
- 04Patient-reported satisfaction data complements objective audiological performance measures.
- 05Findings may inform counselling, device fitting, and post-fitting support programmes.
Population norms for user satisfaction with cochlear implant audio processors can be derived from large-scale survey data.
studysupportedCI users face identifiable challenges and responsibilities related to their audio processors.
studypartially supported- PMID
- 42769137
- DOI
- 10.3389/fpsyg.2026.1817444.
- Journal
- Frontiers in Psychology
- Publication type
- research_article
- Evidence level
- 2b
- Population
- Cochlear implant users who completed a satisfaction survey regarding their audio processors
- Intervention
- Large-scale patient satisfaction survey on cochlear implant audio processors
Primary outcomes
User satisfaction scores with cochlear implant audio processors; Population norm derivation for satisfaction benchmarking