MétaCan
Menu
Retour à la cohorte
Enregistrement W2911421084

Understanding Autism Spectrum Disorder in Context: a comparison of family perceptions in a high income and low/middle-income country

2018· dissertation· en· W2911421084 sur OpenAlexaboutno aff
Marisa Viljoen

Notice bibliographique

RevueOpen University of Cape Town (University of Cape Town) · 2018
Typedissertation
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAutism spectrum disorderPerceptionContext (archaeology)Low and middle income countriesPsychologyLow incomeAutismDevelopmental psychologyDemographic economicsGeographyEconomic growthEconomicsDeveloping country
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background 
\nAutism Spectrum Disorder (ASD) affects individuals from all continents, cultures and socio-economic backgrounds. It presents differently in different individuals and functional outcomes can be highly variable dueto the heterogenous nature of ASD. The context or environment in which individuals live interacts with the core characteristics of ASD to determine functional ability or disability. For this reason the World Health Organization International Classification of Functioning, Disability and Health (ICF) includes environmental factors when measuring and describing functioning. ICF core sets for ASD were recently developed, and included a qualitative study with perspectives from five highly divergent countries (Canada, Sweden, India, Saudi Arabia and South Africa). It is, however, not known whether functional themes in these diverse environments were similar or different. We hypothesized that environmental factors would predominate in low-resource settings where they would be perceived as barriers to functioning. 
\nObjectives 
\nThe purpose of this study was therefore to examine the association between context and functional ability/disability in children with ASD. We aimed firstly, to understand the global landscape of parental perceptions of functioningin their children with ASD. Secondly, we set out to compare and contrast parental perceptions of functioning in two of the most divergent countries that participated in the ICF core set development study. We were interested in the frequency of functional items reported by parents/caregivers from a high- income country and a low/middle income country. We were also interested in the content of the functional items reported by parents/caregivers in these two countries. We selected Sweden as example of a high-income country (HIC), and South Africa, as example of a low/middle-income country (LMIC). 
\nMethods 
\nTo meet the first aim, we performed a scoping review. Two researchers conducted a comprehensive search of peer reviewed studies published between 1990 and June 2016. Full-text of all included articles were accessed and summarized using thematic analysis. Key findings relating to the scoping review question were linked to ICF-CY first or second-level categories. To meet the second aim, we performed secondary analysis of qualitative data from the ICF ASD core set study. Using frequency and content analysis we compared South African (n=22) and Swedish (n=13) participants. The identified ICF-CY categories were ranked and compared for similarities and dissimilarities in frequency of reporting and analyzed for similarities and dissimilarities in the content of themes. 
\nResults 
\nThirty three studies were included in the scoping review, and most were conducted in HIC (n = 25/33, 76%) with only six studies in LMIC (n = 6/33, 18%). Two studies compared perspectives from LMIC and HIC (n = 2/33, 6%). Functional themes from HIC included a range across the ICF bio- psychosocial framework with body functions, activities & participation, environmental factors and personal factors all represented. Functional themes from LMIC were predominantly focused on environmental and personal factors. We did, however, acknowledge that different methodologies may have biased findings in HIC versus LMIC. Secondary analysis of the ICF ASD Core set qualitative study therefore used data collected in identical manner in South Africa and Sweden. Complete frequency agreement was seen in 4 ICF categories in thetwo countries - three activities & participation categories (carrying out daily routines, dressing, complex interpersonal interactions), and one environmental factor (immediate family). Obvious differences in frequency of reporting were observed in one environmental factors category (health professionals), six body functions categories (e.g. involuntary movement functions, gait patterns, basic cognitive functions, and mental functions of language), and three activities & participation categories (managing one’s own behaviour, speaking, and undertaking a single task). Only three ICF categories (immediate family, attention functions, products and technology for personal use in daily living) differed in content between South Africa and Sweden. Two additional categories were identified namely health professionals and sensory processing. 
\n
\nConclusions 
\nContrary to our hypotheses few differences in parent/caregiver perspectives about environmental factors relevant to functioning in ASD emerged. Perceptions more frequently differed regarding body functions andactivities & participation. The content of perceptions were, with a few exceptions, similar. Our results suggest that the interaction between context and functioning is more complex than we predicted and highlights the importance of subjective perception of contextual factors in relation to functional ability/disability. Given the universality of findings, our results therefore support the global usefulness of the recently developed ICF core sets for ASD. We recommend that more comparative studies on ASD and functioning should be conducted, and that similar comparisons in other disorders where core sets have been developed, such as ADHD, may also be of value.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,367
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,051
Tête enseignante GPT0,285
Écart entre enseignants0,234 · 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.

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

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueOpen University of Cape Town (University of Cape Town)Même sujetAutism Spectrum Disorder ResearchTravaux en français237 207