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Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps

The Prechtl General Movements Assessment (GMA) has become a clinician and researcher toolbox for evaluating neurodevelopment in early infancy. Given that it involves the observation of infant movements from video recordings, utilising smartphone applications to obtain these recordings seems like the...

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Detalles Bibliográficos
Autores principales: Marschik, Peter B., Kwong, Amanda K. L., Silva, Nelson, Olsen, Joy E., Schulte-Rüther, Martin, Bölte, Sven, Örtqvist, Maria, Eeles, Abbey, Poustka, Luise, Einspieler, Christa, Nielsen-Saines, Karin, Zhang, Dajie, Spittle, Alicia J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218843/
https://www.ncbi.nlm.nih.gov/pubmed/37240681
http://dx.doi.org/10.3390/jcm12103576
Descripción
Sumario:The Prechtl General Movements Assessment (GMA) has become a clinician and researcher toolbox for evaluating neurodevelopment in early infancy. Given that it involves the observation of infant movements from video recordings, utilising smartphone applications to obtain these recordings seems like the natural progression for the field. In this review, we look back on the development of apps for acquiring general movement videos, describe the application and research studies of available apps, and discuss future directions of mobile solutions and their usability in research and clinical practice. We emphasise the importance of understanding the background that has led to these developments while introducing new technologies, including the barriers and facilitators along the pathway. The GMApp and Baby Moves apps were the first ones developed to increase accessibility of the GMA, with two further apps, NeuroMotion and InMotion, designed since. The Baby Moves app has been applied most frequently. For the mobile future of GMA, we advocate collaboration to boost the field’s progression and to reduce research waste. We propose future collaborative solutions, including standardisation of cross-site data collection, adaptation to local context and privacy laws, employment of user feedback, and sustainable IT structures enabling continuous software updating.