A bibliometric analysis of the current state of research on family interventions for ASD
Bibliographic record
Abstract
In recent years, family intervention has become a hot research direction in the field of autism spectrum disorder (ASD) treatment. A large amount of research literature shows that family intervention is effective in ASD rehabilitation. Still, the concept of family intervention is vaguely defined, and there is a lack of descriptions of specific intervention programs and treatment pathways and a diversity of intervention programs have been reported. In this study, we conducted an econometric analysis of the literature on family intervention for ASD to clarify the concept of family intervention and to analyze and explore the research hotspots, effective family intervention models for ASD, intervention techniques, and possible future research directions in this field. Methods: A metrological analysis of the literature related to ASD family interventions on the Web of Science from 1987 to 2024 was conducted using CiteSpace software to map the network of countries/institutions, journals, authors, co-cited literature, and keywords in the field. The results were visualized and analyzed. Results: A total of 1,891 documents were retrieved. The United States (1,028) led in the number and relevance of publications, followed by Canada (254) and Australia (209). The trend of publications was upward. Baranek was the most published author (19) and the University of California System was the most published university. Developed countries dominate the research. According to the timeline graph, it can be learned that the current research hotspots in this field are mostly focused on early intervention in family-based, psychological stress in parents of children with autism. Conclusion: This visual analysis identifies the most influential institutions and countries, as well as cited journals and authors in the field of family therapy autism research. The direction of research in family therapy for autism should be to find effective treatments for autism based on the home environment, and currently, the most prominent family therapy for autism is telemedicine and parent-mediated intervention. The future direction of this research area could be taken by artificial intelligence techniques specifically applied to children with autism in a computer context.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| gpt | Bibliometrics Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.189 | 0.306 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".