Adaptation à l'utilisation de la technologie dans les familles d'enfants ayant des besoins complexes de communication : une revue intégrative et application de la théorie familiale

Titre original en anglais : Adaptation to Technology Use in Families of Children With Complex Communication Needs: An Integrative Review and Family Theory Application

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West, P., Van Riper, M., Wyatt, G., Lehto, R., Douglas, S. N., & Robbins, L. (2020). Adaptation to Technology Use in Families of Children With Complex Communication Needs: An Integrative Review and Family Theory Application. Journal of Family Nursing, 26(2), 153-178. https://doi.org/10.1177/1074840720915536

Date de publication: 01/05/2020 Ajout dans AutiHub: 27/10/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
6
Auteur·ices de la publication identifié·es comme autistes
1 / 6 (16,7 %)
  1. Patricia West
  2. Marcia Van Riper
  3. Gwen Wyatt
  1. Rebecca Lehto
  2. Sarah N. Douglas *
  3. Lorraine Robbins

Résumé

Les familles d'enfants ayant des troubles du développement et des besoins complexes de communication (CCN) font face à des exigences difficiles qui influent sur l'adaptation familiale. De nombreux enfants ayant des CCN utilisent des dispositifs de communication améliorée et alternative (CAA) pour soutenir la communication, mais on sait peu de choses sur l'adaptation familiale à cette technologie. Afin de combler cette lacune, une revue intégrative, guidée par le Modèle de résilience du stress, de l'ajustement et de l'adaptation familiale, a été menée pour évaluer les fondements conceptuels et l'état des connaissances scientifiques concernant l'adaptation familiale chez les enfants utilisant la CAA. Des recherches sur le Web ont été réalisées en utilisant les Preferred Reporting Items for Systematic Reviews and Meta-Analysis et le Mixed Methods Appraisal Tool. Trente-trois études répondaient aux critères d'admissibilité. Les résultats ont montré que, pour renforcer les connaissances scientifiques qui sous-tendent l'adaptation familiale à l'utilisation de la CAA, les recherches futures devraient être ancrées conceptuellement et aborder des composantes importantes du Modèle de résilience. Les travaux dans ce domaine émergent permettront d'identifier et de faciliter les efforts infirmiers visant à aider les familles à s'adapter à la technologie de communication.

Families with children who have developmental disabilities and complex communication needs (CCNs) face challenging demands affecting family adaptation. Many children with CCNs use augmentative and alternative communication (AAC) devices to support communication, yet little is known about family adaptation to such technology. To fill this gap, an integrative review, guided by the Resiliency Model of Family Stress, Adjustment, and Adaptation was conducted to assess conceptual foundations and the state of the science of family adaptation among children utilizing AAC. Web-based searches were conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis and the Mixed Methods Appraisal Tool. Thirty-three studies met eligibility. Findings demonstrated that to enhance the science underpinning family adaptation to AAC use, future research should be grounded conceptually and address important components of the Resiliency Model. Work in this emerging area will identify and facilitate nursing efforts to assist families as they adapt to communication technology.

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Références citées
68
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57
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11
0 / 68 (0,0 %) références citées comprennent au moins une personne identifiée comme autiste.
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59 / 68 (86,8 %)
Sans nom d’auteurice détecté
9
Sans titre structuré
8
Sans identifiant stable
11
Références avec noms bruts d’auteurices restant à vérifier
7
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204
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204
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0
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0
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24
19 / 204 (9,3 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 185 / 204 (90,7 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
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Calculé sur l’ensemble des noms d’auteurices détectés dans la bibliographie citée. Parmi les noms associés à un·e auteurice déjà présent·e dans AutiHub : 0 / 19 (0,0 %). Personnes distinctes identifiées comme autistes : 0 / 169 (0,0 %).
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