Context: Early intervention, and parent-mediated intervention are effective in achieving early childhood development goals for children with autism spectrum disorder. There is a surge in mHealth technologies delivering such interventions. This review aims to explore the concept, context and methodology of implementation of such mHealth apps.
Evidence Acquisition: A search was conducted using NICE (National Institute of Clinical Excellence) healthcare database, including keyword 'early intervention,' 'mHealth,' 'parent support,' 'apps,' and 'autism.' The quantitative, qualitative, mixed-methods, case reports, grey literature, systematic reviews, clinical trials, and feasibility studies of children between 2 to 6 years with ASD were included from inception of database to December, 2021. Web/Internet-based or computer-dependent programs were excluded. The initial search yielded 3786 studies; 17 were finally included based on the inclusion and exclusion criteria.
Result: Studies on a total of mhealth apps were reviewed. Nine apps, apart from TOBY (Therapy outcome by you), lacked a holistic approach and instead targeted a specific difficulty in autism. The provision of support to parents using apps was equally beneficial as in-person support, reduced costs, and improved outcomes in children.
Conclusions: The review revealed limited evidence-based mHealth apps available currently in a community setting. This also underscores an opportunity for clinicians to re-direct parents towards evidence-based information and interventions.
Download full-text PDF |
Source |
---|
BMC Med Inform Decis Mak
December 2024
Fakher Mechatronic Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Background: Parkinson's disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. Mobile technologies enable Parkinson's patients to improve their quality of life, manage symptoms, and enhance overall well-being through various applications (apps). There is no integrated list of specific capabilities available to cater to the unique needs of Parkinson's patient-focused mobile apps.
View Article and Find Full Text PDFHealth Care Anal
December 2024
Department for Thematic Studies: Technology and Social Change, Linköping University, Hus T, Campus Valla, Linköping, 58183, Sweden.
Research on mobile health (mHealth) applications has investigated how such technologies contribute to a responsibilisation of users/patients. This literature largely focuses on the individual responsibilities constructed by the apps and the neoliberal environments that enable the positioning of the user as responsible. With this focus, this scholarship is less attentive to the role of social relations in responsibilisation.
View Article and Find Full Text PDFInt J Qual Stud Health Well-being
December 2025
Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy.
Purpose: From an active ageing perspective, investigating how adults use apps and wearables for health purposes might improve well-being strategies supported by widely adopted technologies. This study investigated adults' perceptions of using apps and wearables for health purposes.
Methods: A qualitative interview study was conducted.
Front Digit Health
December 2024
Discipline of Biomedical Engineering, School of Electrical and Mechanical Engineering, The University of Adelaide, Adelaide, SA, Australia.
Introduction: Anxiety and depression are major causes of disability in Arab countries, yet resources for mental health services are insufficient. Mobile devices may improve mental health care delivery (mental m-Health), but the Arab region's mental m-Health app landscape remains under-documented. This study aims to systematically assess the features, quality, and digital safety of mental m-Health apps available in the Arab marketplace.
View Article and Find Full Text PDFJMIR Form Res
December 2024
School of Computer Science, Cardiff University, Cardiff, United Kingdom.
Background: People with premenstrual dysphoric disorder (PMDD) experience a range of symptoms that increase and decline as a result of the natural hormonal fluctuations of the menstrual cycle. For the diagnosis of PMDD, symptom severity needs to be recorded daily for at least two symptomatic cycles. In recent years, the rise in interest in Femtech (tools and technology developed to address women's health issues) has resulted in a large quantity of "period-tracking apps" being developed and downloaded.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!