mHealth apps delivering early intervention to support parents of children with autism: a scoping review protocol

OBJECTIVE: This review aims to identify the mhealth apps delivering early intervention to support parents of children with autism spectrum disorders (ASD). We aim to explore the concept, context and methodology of implementation that is, theoretical framework, feasibility, quality of evidence, for such apps. BACKGROUND: To improve outcomes for children with autism, early intervention has been found to be promising. Parental training, parent psychoeducation and parent-mediated intervention are regarded as the gold standard, to achieve early childhood development goals. Digital health technologies like tele-health, web-based services, have been used to deliver this at a reduced cost. There is little evidence about their use and efficacy in empowering parents of children with ASD. INCLUSION CRITERIA: The studies reporting the use of mhealth apps to support parents of children with ASD, in community settings, school settings, special schools, clinics, hospitals or child development centres. There will be no exclusion based on region, gender or sociocultural factors. The types of studies included will be quantitative, qualitative, mixed-methods study designs, case reports, grey literature, systematic reviews, clinical trials and studies reporting feasibility of digital mhealth applications. METHOD: Using the NICE Healthcare Databases Advanced Search, we will search the following databases: MEDLINE, PUBMED, CINAHL, EMBASE, PsycINFO, Cochrane Library, EbscoHost, Sabinet, SAGE Journals, Directory of Open Access Journals, BioMed Central, Scopus, ScienceDirect. Furthermore, grey literature will be searched through Google Scholar, ShodhGanga, JSTOR, CORE, EBSCO, DOAJ, BASE. The searches will be limited to the age range of children between 2 and 6 years with ASD, and the date range is from the inception of the database to the current date. The terms for the ASD will be combined with terms for parent, early intervention and digital mhealth to identify eligible studies.