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Record W4383998364 · doi:10.1080/14670100.2023.2233191

Cochlear implant decision-making for children with residual hearing: Perspectives of parents

2023· article· en· W4383998364 on OpenAlexaff
Eunjung Na, Karine Toupin‐April, Janet Olds, Dorie Noll, Elizabeth M. Fitzpatrick

Bibliographic record

VenueCochlear Implants International · 2023
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsThematic analysisCoachingPsychologyDecision-makingCochlear implantProcess (computing)Applied psychologyMedical educationQualitative researchMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

PURPOSE: Cochlear implant (CI) decision-making is particularly challenging for families of children who have residual hearing. Parents of these children may be uncertain about whether the potential benefits of CIs outweigh the risks. This study aimed to understand parents' decisional needs during the decision-making process for children with residual hearing. METHOD: Semi-structured interviews were conducted with parents of 11 children who had received CIs. Open-ended questions were asked to encourage parents to share their experiences about the decision-making process, their values/preferences, and their needs. The interviews were transcribed verbatim and analyzed using thematic analysis. RESULTS: Data were organized according to three key themes: (1) Parents' decisional conflict, (2) values and preferences, (3) decision support and parents' needs. We found that overall parents were satisfied with their decision-making process and the decision support from practitioners. However, parents stressed the importance of receiving more personalized information that considers their specific concerns, values and preferences related to family's circumstances. CONCLUSIONS: Our research provides additional evidence to guide the CI decision-making process for children with residual hearing. Additional collaborative research with audiology and decision-making experts specifically on facilitating shared decision-making is needed to provide better decision coaching for these families.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.040
GPT teacher head0.350
Teacher spread0.310 · 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

Citations26
Published2023
Admission routes1
Has abstractyes

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