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Record 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 on OpenAlexaboutno aff
Marisa Viljoen

Bibliographic record

VenueOpen University of Cape Town (University of Cape Town) · 2018
Typedissertation
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsAutism spectrum disorderPerceptionContext (archaeology)Low and middle income countriesPsychologyLow incomeAutismDevelopmental psychologyDemographic economicsGeographyEconomic growthEconomicsDeveloping country
DOInot available

Abstract

fetched live from 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.051
GPT teacher head0.285
Teacher spread0.234 · 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.

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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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