Exposure to Spoken Communication in Children With Cochlear Implants During the COVID-19 Lockdown
Bibliographic record
Abstract
Importance: The coronavirus disease 2019 (COVID-19) lockdowns in Ontario, Canada in the spring of 2020 created unprecedented changes in the lives of all children, including children with hearing loss. Objective: To quantify how these lockdowns changed the spoken communication environments of children with cochlear implants by comparing the sounds they were exposed to before the Ontario provincial state of emergency in March 2020 and during the resulting closures of schools and nonessential businesses. Design, Setting, and Participants: This experimental cohort study comprised children with hearing loss who used cochlear implants to hear. These children were chosen because (1) their devices monitor and catalog levels and types of sounds during hourly use per day (datalogs), and (2) this group is particularly vulnerable to reduced sound exposure. Children were recruited from the Cochlear Implant Program at a tertiary pediatric hospital in Ontario, Canada. Children whose cochlear implant datalogs were captured between February 1 and March 16, 2020, shortly before lockdown (pre-COVID-19), were identified. Repeated measures were collected in 45 children during initial easing of lockdown restrictions (stages 1-2 of the provincial recovery plan); resulting datalogs encompassed the lockdown period (peri-COVID-19). Main Outcomes and Measures: Hours of sound captured by the Cochlear Nucleus datalogging system (Cochlear Corporation) in 6 categories of input levels (<40, 40-49, 50-59, 60-69, 70-79, ≥80 A-weighted dB sound pressure levels [dBA]) and 6 auditory scene categories (quiet, speech, speech-in-noise, music, noise, and other). Mixed-model regression analyses revealed main effects with post hoc adjustment of confidence intervals using the Satterthwaite method. Results: A total of 45 children (mean [SD] age, 7.7 [5.0] years; 23 girls [51.1%]) participated in this cohort study. Results showed similar daily use of cochlear implants during the pre- and peri-COVID-19 periods (9.80 mean hours pre-COVID-19 and 9.34 mean hours peri-COVID-19). Despite consistent device use, these children experienced significant quieting of input sound levels peri-COVID-19 by 0.49 hour (95% CI, 0.21-0.80 hour) at 60 to 69 dBA and 1.70 hours (95% CI, 1.42-1.99 hours) at 70 to 79 dBA with clear reductions in speech exposure by 0.98 hour (95% CI, 0.49-1.47 hours). This outcome translated into a reduction of speech:quiet from 1.6:1.0 pre-COVID-19 to 0.9:1.0 during lockdowns. The greatest reductions in percentage of daily speech occurred in school-aged children (elementary, 12.32% [95% CI, 7.15%-17.49%]; middle school, 11.76% [95% CI, 5.00%-18.52%]; and high school, 9.60% [95% CI, 3.27%-15.93%]). Increased daily percentage of quiet (7.00% [95% CI, 4.27%-9.74%]) was most prevalent for children who had fewer numbers of people in their household (estimate [SE] = -1.12% [0.50%] per person; Cohen f = 0.31). Conclusions and Relevance: The findings of this cohort study indicate a clear association of COVID-19 lockdowns with a reduction in children's access to spoken communication.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".