Assessment of home environment for autistic individuals: a literature review of the existing tools
Bibliographic record
Abstract
Background: Autism Spectrum Disorder is a neurodevelopmental disorder, and its prevalence is estimated at 1% worldwide. The home environment can influence activities and roles for autistic individuals, however there are limited assessments that focus on the home environment for this population. Purpose: To identify existing assessment tools of home environment for autistic individuals in the literature. Methods: We explored five databases. Initial search on databases was made in 2019 and updated in 2022. Documents selection was made in two phases: 1) title and abstract screening, 2) full-text reading of selected publications. The included studies were analyzed. Results: We identified seven home environment-related assessment tools that can be used with the autistic population. Most of the tools included few items related to the non-human environment and do not include specific elements of the environment (e.g.: details about sensory stimuli or assessment of the layout). Six of them are design for children or youths and only one out seven is specific to autistic people. Conclusions: The identified tools do not allow for a detailed assessment of the non-human environment of autistic individuals only the identification of environment-related difficulties. More research and the development of new tools are needed to improve it.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".