Evidence map›Paper›PMID 41893967›Full record

ArticleJournal of autism and developmental disorders2026

Digital Health Technologies Empower Family-Mediated Interventions for Autistic Children: A Scoping Review.

Peipei Xu, Zhijia Shen, Qingsheng Wang, Yijie Hu, Yan Hu

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Peipei Xu *School of Nursing, Anqing Medical College, Anhui, China.
Zhijia Shen *Department of Endocrinology, Changshu Hospital Affiliated to Nanjing, University of Chinese Medicine, SuZhou, China.
Qingsheng WangDepartment of Pediatric Rehabilitation, Anqing Hospital of Traditional Chinese Medicine, Anqing, Anhui, China.
Yijie HuDepartment of Proctology, Anqing Hospital of Traditional Chinese Medicine, Anqing, Anhui, China.
Yan HuSchool of Nursing, Fudan University, No. 305 Fenglin Road, Shanghai, 200032, China. huyan@fudan.edu.cn.

Funding

Anhui Provincial Department of Education 2022AH052541Anhui Provincial Department of Education JNFX2023112
6 · The paper itself

Abstract

purposeThe developmental characteristics of autistic children underscore the pivotal importance of family-mediated interventions during their therapeutic process. Digital health technologies offer advantages in efficiency, flexibility, and personalization, which can aid caregivers in effectively carrying out family-mediated interventions. A comprehensive understanding of current application status is essential to provide references for future research and practice.

methodsFollowing the methodology of scoping review, a systematic literature search was conducted in PubMed, Web of Science, Embase, Scopus, CNKI, Sinomed, and Wanfang Database. The search was limited to studies published from March 2015 to March 2025. Descriptive analyses were performed based on the research questions and objectives.

resultsThe initial search identified 1,163 studies, with 36 ultimately included. The technology types supporting family-mediated interventions through digital health technologies included mobile applications, augmented reality applications, video conferencing, online websites, speech-generating devices, virtual reality, robots, and wearables. Among caregiver-focused applications, digital health technologies were most frequently used for caregiver training, while for autistic children, the primary application was improving social communication skills. The efficacy of digital health technologies in supporting family-mediated interventions showed generally positive outcomes, but there were also some challenges in the implementation process.

conclusionThere remains substantial potential to further integrate digital health technologies into family-mediated interventions. Future research should focus on enhancing the quality and sustainability of these interventions, employing more rigorous study designs and standardized evaluation approaches to comprehensively assess outcomes for autistic children and their caregivers.

Indexed as

Autism spectrum disorderChildrenDigital health technologiesFamily-mediated interventionsScoping review

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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.