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Record W3047469142 · doi:10.1186/s12939-020-01247-8

Psychosocial resources developed and trialled for Indigenous people with autism spectrum disorder and their caregivers: a systematic review and catalogue

2020· review· en· W3047469142 on OpenAlexaboutno aff
Ian M. Shochet, Jayne Orr, Rachel Kelly, Astrid Wurfl, Beth Saggers, Suzanne Carrington

Bibliographic record

VenueInternational Journal for Equity in Health · 2020
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
FundersAustralian GovernmentCooperative Research Centre for Living with Autism
KeywordsPsychosocialIndigenousInclusion (mineral)PopulationMedicineAutism spectrum disorderGerontologyAutismPsychiatryPsychologyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: People with autism spectrum disorder (ASD) face many psychosocial challenges throughout life, highlighting the need for programs and resources promoting psychosocial wellbeing. Indigenous peoples with ASD and/or other neurodevelopmental disorders must overcome cultural and social barriers to access such supports. This study aimed to identify psychosocial programs and resources developed world-wide for this population by systematically reviewing research evaluating programs aiming to promote the psychosocial wellbeing of this population and/or their caregivers; and collating and reviewing resources developed to promote their psychosocial wellbeing. METHODS: Searches were last conducted in December 2019. The systematic review searched 28 electronic databases, and 25 electronic databases were searched for resources promoting psychosocial wellbeing. Additional published and unpublished studies were identified from relevant reviews, authors of eligible articles, and experts working in Indigenous Health. Articles and resources were screened for inclusion using pre-defined criteria. Articles included in the systematic review were assessed for quality using the Mixed Methods Assessment Tool. The diversity and paucity of outcomes reported precluded pooling of study findings for meta-analysis. RESULTS: Seven articles situated in the USA (2), Canada (3) and Australia (2); and eleven resources developed in Australia (9), Canada (1) and New Zealand (1) met inclusion criteria. All articles showed some promising findings for improving psychosocial wellbeing for Indigenous children with ASD and/or another neurodevelopmental disorder, and 5 of 7 evaluated the cultural adaptation of an existing evidence-based program for an Indigenous population. However, methodological quality was moderate or low (57% and 43% of articles respectively) and no studies had adult participants. The psychosocial wellbeing supports provided by the 11 resources included psychoeducation, community support, and services/workshops. CONCLUSIONS: Despite the paucity of research and resources found, important exemplars demonstrate that existing programs can be adapted to support Indigenous people with ASD and other neurodevelopmental disorders. While future policy should endeavour to facilitate Indigenous people's access to support services, and encourage researchers to develop and evaluate programs promoting psychosocial wellbeing for this population, given complexities of designing and evaluating new programs, careful and appropriate cultural adaptations of existing evidence-based programs would increase feasibility of ongoing research without compromising outcomes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0110.010
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.110
GPT teacher head0.447
Teacher spread0.337 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations13
Published2020
Admission routes1
Has abstractyes

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