In microtia, the child who hears on one side is the one who stops wearing the device

Design

Retrospective chart review with composite adherence score and multivariable analysis

Population

127 children with microtia and aural atresia fitted with bone conduction devices, 2015-2025

Primary outcome

Adherence to bone conduction device follow-up care

Effect

Unilateral hearing loss OR 4.504 (P = 0.034); age 11 or over OR 5.795 (P = 0.001); under four hours daily wear OR 33.39 (P = 0.003)

A tertiary microtia database supplied 127 children fitted with bone conduction hearing devices between 2015 and 2025, scored on a composite of time to first follow-up, annual visit frequency and datalogged daily wear.

Unilateral hearing loss was the strongest predictor of poor adherence on multivariable analysis (OR 4.504, P = 0.034) - the children with a normal ear are the ones who drift away, because the device improves something they can already partly do. Age mattered too: those aged 11 or over had 5.795 times the odds of poor adherence compared with under-sixes (P = 0.001), and the 7-to-10 group 4.391 times (P = 0.003). Age at fitting was not significant (P = 0.098), which is worth noting because it is the variable clinics usually argue about. Public or absent insurance was associated with worse adherence (P = 0.009), a US finding that translates to affordability rather than to any specific scheme.

The operational finding is the datalogging. Children wearing the device under four hours a day had 33.39 times the odds of falling into a poor adherence tier (P = 0.003). That is a number already sitting in the software at every fitting appointment, and it identifies the child who is about to stop long before the missed appointments do.

• Read the datalogging at every visit and treat under four hours a day as an alert, not a note.
• Target unilateral cases for extra support; they are the group most likely to disengage.
• Expect adherence to fall as the child approaches secondary school age and plan the conversation before it does.
• Do not use age at fitting to predict adherence; it was not significant here.
• Ask about cost and travel directly, since the insurance finding is affordability wearing a US label.

The statistics, in plain English

An odds ratio of 33 in 127 patients is a very large effect on a small sample, and its confidence interval is not reported, so treat it as a strong marker rather than a precise multiplier. Note also that low datalogged wear is partly the same thing as poor adherence rather than a separate cause of it, so this is a useful early indicator rather than an independent risk factor. Retrospective chart review cannot establish that intervening on wear time changes the trajectory.

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