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Record W4388852385 · doi:10.1044/2023_aja-23-00041

Newborn Hearing Screening in Québec, Canada

2023· article· en· W4388852385 on OpenAlexafffundabout
Gabriel Trottenberg, W. Robert J. Funnell, Hamid Motallebzadeh

Bibliographic record

VenueAmerican Journal of Audiology · 2023
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersNational Institute on Deafness and Other Communication DisordersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsHealth careHearing lossMedicinePublic healthNursingFamily medicineAudiologyPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: This study discusses the history and current state of the newborn hearing screening program in Québec and aims to assess general challenges associated with establishing universal newborn hearing screening (UNHS) programs. METHOD: We reviewed the statistics of the occurrence and long-term effects of congenital hearing loss and the immediate and long-term benefits of UNHS and its limitations. The resources for this study included financial reports related to establishing UNHS in different health care systems; Canadian provincial, territorial, and federal regulations and publications; local and nationwide media; and interviews health care staff and program managers. RESULTS: Because of its benefits and its cost-effectiveness, UNHS programs have been implemented in many health care systems around the world. Despite Canada's success in offering a wide array of health care services to its citizens, certain provinces trail behind others in developing UNHS programs. Although there have been recent improvements in the screening rate of the province of Québec, nearly half of all Québec newborns continue to not be screened for hearing loss. The reasons for the current low screening rate include delays in implementation, information-technology complications, operating costs, and lack of public awareness. CONCLUSIONS: For UNHS to be implemented in a timely fashion, those involved in the process should first understand what challenges may arise. Québec's experience with this process may provide useful lessons for other health care systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.283
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueAmerican Journal of AudiologySame topicHearing, Cochlea, Tinnitus, GeneticsFrench-language works237,207