Development of a Web-Based Resource for Parents of Young Children Newly Diagnosed With Autism: Participatory Research Design
Bibliographic record
Abstract
BACKGROUND: The internet provides an ideal avenue to share information, advice, and support regarding autism. However, many websites lack quality control and rarely provide a one-stop resource for families to access necessary, evidence-based information. OBJECTIVE: This study aims to use participatory action research (PAR) with end users (ie, parents) and clinicians to develop a web-based resource (Pathways Beyond Diagnosis) to improve timely access to quality, evidence-based information, and support for families after their child is diagnosed with autism. METHODS: The PAR approach involves 4 phases: (1) cooperative researcher-stakeholder planning, (2) cooperative researcher-stakeholder-based action, (3) stakeholder observation, and (4) cooperative researcher-stakeholder reflection. A total of 15 participants (parents, n=3; clinicians, n=9; and researchers, n=3) attended individual or group participatory design workshops. This was followed by the translation of knowledge and ideas generated during the workshops to produce mockups of webpages and content, rapid prototyping, and one-on-one consultations with end users to assess the usability of the website developed. RESULTS: A total of 3 participatory design workshops were held with the participants, each followed by a knowledge translation session. At the end of the PAR cycle, an alpha prototype of the website was built and a series of one-on-one end user consultation sessions were conducted. The PAR cycle revealed the importance of 6 key topic areas (understanding autism, accessing services, support, gaining funding, putting it all together, and looking into the future) associated with the time of diagnosis, which were incorporated into the beta version of the website. CONCLUSIONS: The development of the Pathways Beyond Diagnosis website using PAR ensures that families have ready access to practical and evidence-based information following a young child's diagnosis. The website guides families to access relevant, reputable, and evidence-based information in addition to summarizing key challenges encountered after diagnosis (ie, grief, sharing the diagnosis) and the importance of self-care.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".