ArticleJMIR research protocols2025
Digital Health Interventions Targeting Psychological Health in Parents of Children With Autism Spectrum Disorder: Protocol for a Scoping Review.
Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Can AI-driven games enhance social skills for autistic children? - A three-level meta-analysis.Frontiers in psychology · 2026Review
- Digital health interventions targeting psychological health in parents of children with autism spectrum disorder: a scoping review.BMC psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutism spectrum disorder (ASD) is a complex, incurable condition requiring lifelong care, often placing significant psychological strain on parents and emerging as a public health concern. While various interventions exist to enhance the psychological health of parents, the role of digital health interventions (DHIs) in this context remains underexplored.
objectiveThis scoping review aims to systematically assess the availability of DHIs targeting the psychological health of parents of children with ASD and evaluate the effectiveness of these interventions in improving parental psychological health.
methodsThe review will include English-language studies published from inception to June 25, 2024, focusing on DHIs aimed at improving the psychological health of parents of children with ASD. Eligible studies will involve parents of children with ASD less than the age of 18 years, across various settings, and assess psychological health outcomes. A comprehensive search will be conducted across six databases: (1) CINAHL, (2) Ovid EMBASE, (3) Ovid Global Health, (4) Ovid MEDLINE, (5) Ovid PsycINFO, and (6) Web of Science. Studies will be screened and selected based on predefined eligibility criteria. Data extraction will include publication details, study design, participants' characteristics, intervention specifics, comparisons, psychological outcomes, and key findings. Results will be synthesized using descriptive statistics, charts, and narrative analysis.
resultsThe initial keyword-based search, completed in June 2024, identified 5825 records, which were subsequently screened and analyzed. Screening and evidence synthesis were finalized in winter 2024, and the completed scoping review was submitted in December 2024.
conclusionsThis study will provide a comprehensive overview of commonly used DHIs for supporting the psychological health of parents of children with ASD and their effectiveness. The findings will help identify research gaps, inform future studies and funding priorities, and contribute to the development of practice guidelines to enhance parental psychological health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/68677.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.