Digital citizenship of children and youth with autism: Developing guidelines and strategies for caregivers and clinicians to support healthy use of screens
Bibliographic record
Abstract
Over the past few years, screen-based usage among children and youth has increased significantly, particularly among those with autism. Yet current screen time guidelines do not address the specific needs of autistic children and youth. Therefore, the objective of this study was to develop specific and clear guidelines and strategies that caregivers and expert clinicians agree upon to support the digital citizenship of children with autism. Using the Delphi method, 30 experts, including 20 clinicians and 10 caregivers, were invited to complete a series of three surveys. The experts had to rate their agreement levels on a series of statements that included possible guidelines and strategies. The final statements to be included in the guidelines were accepted by more than 75% of the panel. The final guidelines included six sections: (1) general principles, (2) considerations for timing and content of leisure screen time use, (3) strategies for caregivers and clinicians to monitor and regulate screen time use, (4) behaviors to monitor for screen time overuse, (5) additional guidelines for clinicians, and (6) resources. The agreed-upon guidelines developed in this study could be the stepping stones for clinical interventions targeting screen time overuse of children with autism, addressing the screen time challenges that many families are experiencing. Lay Abstract Children and youth with autism use screens in their daily lives and in their rehabilitation programs. Although parents and clinicians experience specific challenges when supporting positive screen time use of children and youth with autism, no detailed information for this group exists. Therefore, this study aimed to develop clear guidelines that are agreed by expert clinicians and parents of children and youth with autism. Using a method called Delphi, 30 experts—20 clinicians and 10 caregivers, who have experience working with or caring for children and youth with autism were invited to complete a series of three surveys. In each round, the experts had to rate their agreement with statements regarding screen time management. The agreement level was set to 75%. The final themes to be included in the guidelines were accepted by more than 75% of the panel. The final guidelines included six main sections: (1) general principles, (2) considerations for timing and content of leisure screen time use, (3) strategies for caregivers and clinicians to monitor and regulate screen time use, (4) behaviors to monitor for screen time overuse, (5) additional guidelines for clinicians, and (6) resources. The new guidelines developed in this study can provide potential guidance on how to further the development of digital citizenship for children and youth with autism and provide strategies to families to help manage screen time use.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".