Exposure to Spoken Communication During the COVID-19 Pandemic Among Children With Cochlear Implants
Bibliographic record
Abstract
Importance: School closures and other COVID-19-related restrictions could decrease children's exposure to speech during important stages of development. Objective: To assess whether significant decreases in exposure to spoken communication found during the initial phase of the COVID-19 pandemic among children using cochlear implants are confirmed for a larger cohort of children and were sustained over the first years of the COVID-19 pandemic. Design, Setting, and Participants: This cohort study used datalogs collected from children with cochlear implants during clinical visits to a tertiary pediatric hospital in Toronto, Ontario, Canada, from January 1, 2018, to November 11, 2021. Children with severe to profound hearing loss using cochlear implants were studied because their devices monitored and cataloged levels and types of sounds during hourly use per day (datalogs) and because their hearing and spoken language development was particularly vulnerable to reduced sound exposure. Statistical analyses were conducted between January 2022 and August 2023. Main Outcomes and Measures: Daily hours of sound were captured by the cochlear implant datalogging system and categorized into 6 auditory scene categories, including speech and speech-in-noise. Time exposed to speech was calculated as the sum of daily hours in speech and daily hours in speech-in-noise. Residual hearing in the ear without an implant of children with unilateral cochlear implants was measured by pure tone audiometry. Mixed-model regression analyses revealed main effects with post hoc adjustment of 95% CIs using the Satterthwaite method. Results: Datalogs (n = 2746) from 262 children (137 with simultaneous bilateral cochlear implants [74 boys (54.0%); mean (SD) age, 5.8 (3.5 years)], 38 with sequential bilateral cochlear implants [24 boys (63.2%); mean (SD) age, 9.1 (4.2) years], and 87 with unilateral cochlear implants [40 boys (46.0%); mean (SD) age, 7.9 (4.6) years]) who were preschool aged (n = 103) and school aged (n = 159) before the COVID-19 pandemic were included in analyses. There was a slight increase in use among preschool-aged bilateral cochlear implant users through the pandemic (early pandemic, 1.4 h/d [95% CI, 0.3-2.5 h/d]; late pandemic, 2.3 h/d [95% CI, 0.6-4.0 h/d]) and little change in use among school-aged bilateral cochlear implant users (early pandemic, -0.6 h/d [95% CI, -1.1 to -0.05 h/d]; late pandemic, -0.3 h/d [95% CI, -0.9 to 0.4 h/d]). However, use decreased during the late pandemic period among school-aged children with unilateral cochlear implants (-1.8 h/d [95% CI,-3.0 to -0.6 h/d]), particularly among children with good residual hearing in the ear without an implant. Prior to the pandemic, children were exposed to speech for approximately 50% of the time they used their cochlear implants (preschool-aged children: bilateral cochlear implants, 46.6% [95% CI, 46.5%-47.2%] and unilateral cochlear implants, 52.1% [95% CI, 50.7%-53.5%]; school-aged children: bilateral cochlear implants, 47.6% [95% CI, 46.8%-48.4%] and unilateral cochlear implants, 51.0% [95% CI, 49.4%-52.6%]). School-aged children in both groups experienced significantly decreased speech exposure in the early pandemic period (bilateral cochlear implants, -12.1% [-14.6% to -9.4%]; unilateral cochlear implants, -15.5% [-20.4% to -10.7%]) and late pandemic periods (bilateral cochlear implants, -5.3% [-8.0% to -2.6%]; unilateral cochlear implants, -11.2% [-15.3% to -7.1%]) compared with the prepandemic baseline. Conclusions and Relevance: This cohort study using datalogs from children using cochlear implants suggests that a sustained reduction in children's access to spoken communication was found during more than 2 years of COVID-19 pandemic-related lockdowns and school closures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".