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Enregistrement W1992633499 · doi:10.1097/aud.0b013e318157676d

Parents' Preferences for Services for Children with Hearing Loss: A Conjoint Analysis Study

2007· article· en· W1992633499 sur OpenAlexafffundabout
Elizabeth M. Fitzpatrick, Doug Coyle, Andrée Durieux-Smith, Ian D. Graham, Douglas E Angus, Isabelle Gaboury

Notice bibliographique

RevueEar and Hearing · 2007
Typearticle
Langueen
DomaineNeuroscience
ThématiqueHearing, Cochlea, Tinnitus, Genetics
Établissements canadiensInstitute of Population and Public HealthUniversity of Ottawa
Organismes subventionnairesHospital for Sick Children
Mots-clésConjoint analysisAudiologyHearing lossPsychologyPreferenceMedicineStatisticsMathematics

Résumé

récupéré en direct d'OpenAlex

In Brief Objective: Early identification of permanent childhood hearing loss through universal newborn hearing screening is rapidly becoming a standard of care. However, it is well recognized that hearing screening must be embedded within a comprehensive system of rehabilitation and parent support services. This study was undertaken with parents of young children with permanent hearing loss to examine their preferences for characteristics associated with intervention services. A secondary goal was to explore whether preferences may differ according to patient subgroups. Design: Conjoint analysis, a preference-based economic technique, was used to investigate parents' strength of preferences. A cross-sectional survey that consisted of hypothetical clinic scenarios was developed based on information from qualitative interviews with parents. The questionnaire was administered to parents receiving intervention services in the province of Ontario, Canada, shortly after the implementation of a universal hearing screening program. The sample was recruited from three different clinical programs. Results: A total of 48 of 75 respondents completed the questionnaire, a response rate of 64%. The participants varied by screening status of the child (25 screened, 23 not screened), type of device (23 hearing aids, 25 cochlear implants), and region. All five characteristics of care that were selected for inclusion in the survey were found to be statistically significant attributes of services: coordinated services, access to parent support, access to information, frequency of services, and location of services. Parents showed a preference for clinic-based rather than home-based services. Preferences toward once a week therapy services rather than services two to three times weekly were also found. In particular, parents valued service models that consisted of well-coordinated care with access to support from other parents. Differences in respondents according to hearing screening status (screened or unscreened), type of hearing device (hearing aid or cochlear implant), or region (Ottawa or Toronto) did not seem to affect parents' preferences for attributes of care. Conclusions: Conjoint analysis is a useful technique for quantifying parents' preferences for care. The values expressed by parents provide insights into the aspects of a service model that should receive consideration in the development of programs for young children with hearing loss and their families. Population-based infant hearing screening has received worldwide attention as an opportunity to improve outcomes for children with hearing loss. However, there is limited information available on how to maximize the potential opportunities provided by early detection of hearing loss. Using conjoint analysis, a stated preference technique from the field of marketing, this study explored parent preferences for service delivery after the identification of hearing loss. The results of the questionnaire demonstrated that, above all other characteristics of service models, parents valued coordinated services that were available through one agency or at least managed through one agency. Overall, the survey indicated that the preferred model was coordinated, clinic-based services with a range of audiology, speech and psychosocial services, access to parent support, and information available through the health service program.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,701

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,060
Tête enseignante GPT0,320
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations39
Publié2007
Routes d'admission3
Résumé présentoui

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