Fidgety Movements Assessment Accuracy Survey in Japan

Tomoki Maeda, Osamu Kobayashi, Kenji Ihara and Arend Frederik Bos
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Tomoki Maeda: Department of Pediatrics, Oita University Faculty of Medicine, Oita 879-5593, Japan
Osamu Kobayashi: Department of Pediatrics, Oita University Faculty of Medicine, Oita 879-5593, Japan
Kenji Ihara: Department of Pediatrics, Oita University Faculty of Medicine, Oita 879-5593, Japan
Arend Frederik Bos: Division of Neonatology, Beatrix Children’s Hospital, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands

IJERPH, 2021, vol. 18, issue 24, 1-9

Abstract: To investigate the accuracy of fidgety movements (FMs) assessment in Japanese assessors. Sixty specialists participated in the first survey. Of the participants, 18 were assessors certified by the GMs basic-training course. The surveys were composed of FMs assessment of 20 video clips. The correct assessment rates (CARs) were investigated. The survey videos were judged into three types: normal (F + +, F +), abnormal (AF) and absent (F + -, F -). After the first survey, each participant performed a self-learning exercise using clips of the first survey. The follow-up survey was conducted three months after the first survey. The median CAR of the first survey was 65% in certified assessors and 50% in noncertified assessors. The median CARs of certified assessors were significantly higher than that of noncertified assessors for all clips and for normal FMs and AF clips ( p < 0.01). After 3 months of self-learning exercise the CARs in each judgement type improved in 28 follow-up survey participants. Their median CAR improved from 60% in the first survey to 84% in the follow-up survey. To practise general movements assessment (GMA), course certification is required. The self-learning exercise with the confirmed judgement FMs clips may be effective for improving the ability of FMs judgement.

Keywords: general movements; fidgety movements; self-learning exercise (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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