In-Motion-App for remote General Movement Assessment: a multi-site observational study.
Autor: | Adde L; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway lars.adde@ntnu.no.; Clinic of Clinical Services, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Brown A; Department of Health Sciences, Lund University, Lund, Sweden.; Department of Pediatric and Adolescent and Department of Neurology and Physiotherapy, Copenhagen University Hospital, Nordsjællands Hospital, Hillerød, Denmark., van den Broeck C; Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium., DeCoen K; Department of Neonatology, University Hospital Ghent, Gent, Belgium., Eriksen BH; Department of Pediatrics, Møre og Romsdal Hospital Trust, Ålesund Hospital, Ålesund, Norway., Fjørtoft T; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.; Clinic of Clinical Services, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Groos D; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway., Ihlen EAF; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway., Osland S; Clinic of Clinical Services, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Pascal A; Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium., Paulsen H; Department of Physiotherapy and Rehabilitation, Vestfold Hospital Trust, Tønsberg, Norway., Skog OM; Habilitation Center, Vestfold Hospital Trust, Tønsberg, Norway., Sivertsen W; Department of Pediatrics, Møre og Romsdal Hospital Trust, Ålesund Hospital, Ålesund, Norway., Støen R; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Neonatology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway. |
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Jazyk: | angličtina |
Zdroj: | BMJ open [BMJ Open] 2021 Mar 04; Vol. 11 (3), pp. e042147. Date of Electronic Publication: 2021 Mar 04. |
DOI: | 10.1136/bmjopen-2020-042147 |
Abstrakt: | Objectives: To determine whether videos taken by parents of their infants' spontaneous movements were in accordance with required standards in the In-Motion-App, and whether the videos could be remotely scored by a trained General Movement Assessment (GMA) observer. Additionally, to assess the feasibility of using home-based video recordings for automated tracking of spontaneous movements, and to examine parents' perceptions and experiences of taking videos in their homes. Design: The study was a multi-centre prospective observational study. Setting: Parents/families of high-risk infants in tertiary care follow-up programmes in Norway, Denmark and Belgium. Methods: Parents/families were asked to video record their baby in accordance with the In-Motion standards which were based on published GMA criteria and criteria covering lighting and stability of smartphone. Videos were evaluated as GMA 'scorable' or 'non-scorable' based on predefined criteria. The accuracy of a 7-point body tracker software was compared with manually annotated body key points. Parents were surveyed about the In-Motion-App information and clarity. Participants: The sample comprised 86 parents/families of high-risk infants. Results: The 86 parent/families returned 130 videos, and 121 (96%) of them were in accordance with the requirements for GMA assessment. The 7-point body tracker software detected more than 80% of body key point positions correctly. Most families found the instructions for filming their baby easy to follow, and more than 90% reported that they did not become more worried about their child's development through using the instructions. Conclusions: This study reveals that a short instructional video enabled parents to video record their infant's spontaneous movements in compliance with the standards required for remote GMA. Further, an accurate automated body point software detecting infant body landmarks in smartphone videos will facilitate clinical and research use soon. Home-based video recordings could be performed without worrying parents about their child's development. Trials Registration Number: NCT03409978. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.) |
Databáze: | MEDLINE |
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