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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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 |
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author | 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. |
author_facet | 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. |
author_sort | Marschik, Peter B. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10218843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102188432023-05-27 Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps 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. J Clin Med Review 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. MDPI 2023-05-20 /pmc/articles/PMC10218843/ /pubmed/37240681 http://dx.doi.org/10.3390/jcm12103576 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review 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. Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps |
title | Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps |
title_full | Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps |
title_fullStr | Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps |
title_full_unstemmed | Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps |
title_short | Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps |
title_sort | mobile solutions for clinical surveillance and evaluation in infancy—general movement apps |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218843/ https://www.ncbi.nlm.nih.gov/pubmed/37240681 http://dx.doi.org/10.3390/jcm12103576 |
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