Exposure to Spoken Communication During the COVID-19 Pandemic Among Children With Cochlear Implants
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».