Instructional guides for filming infant movements at home are effective for the General Movements Assessment

Kwong, Amanda K L; Eeles, Abbey L; Olsen, Joy E.; Zannino, Diana; Kariotis, Timothy; Spittle, Alicia J

doi:10.1111/jpc.15838

Cited by 5 publications

(7 citation statements)

References 10 publications

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“…A recent review by Silva et al 18 highlighted the fact that adoption of automated CP prediction in clinical practice has been restricted because existing machine learning methods lack the predictive accuracy of the GMA. The feasibility of home-based smartphone recordings 22 , 44 , 45 , 46 , 47 and associated infant motion tracking 37 may be combined with the proposed deep learning method to obtain a fully automated system for clinical decision support.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk

et al. 2022

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Key Points Question What is the external validity of a deep learning–based method to predict cerebral palsy (CP) based on infants’ spontaneous movements at 9 to 18 weeks’ corrected age? Findings In this prognostic study of 557 infants with a high risk of perinatal brain injury, a deep learning–based method for early prediction of CP had sensitivity of 71%, specificity of 94%, positive predictive value of 68%, and negative predictive value of 95%. Prognosis of CP based on the deep learning–based method was associated with later functional level and CP subtype in children with CP. Meaning This study’s findings suggest that deep learning–based assessments could support early detection of CP in infants at high risk.

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Section: Discussionmentioning

confidence: 99%

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk

et al. 2022

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“…A follow-up by phone at 6 weeks’ age was added to reduce attrition and a telephone contact was made in most cases at the time of filming. Kwong et al in Australia and a small pilot study in India recently demonstrated that simple instructions for filming could be used to achieve good results with remote GMA where no dedicated app is available 32 33. However, video file transfer methods would need to comply with local data security and transfer laws 15…”

Section: Discussionmentioning

confidence: 99%

NeuroMotion smartphone application for remote General Movements Assessment: a feasibility study in Nepal

Kukka,

Sundelin,

Basnet

et al. 2024

BMJ Open

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ObjectivesTo evaluate the feasibility of using the NeuroMotion smartphone application for remote General Movements Assessment for screening infants for cerebral palsy in Kathmandu, Nepal.MethodThirty-one term-born infants at risk of cerebral palsy due to birth asphyxia or neonatal seizures were recruited for the follow-up at Paropakar Maternity and Women’s Hospital, 1 October 2021 to 7 January 2022. Parents filmed their children at home using the application at 3 months’ age and the videos were assessed for technical quality using a standardised form and for fidgety movements by Prechtl’s General Movements Assessment. The usability of the application was evaluated through a parental survey.ResultsTwenty families sent in altogether 46 videos out of which 35 had approved technical quality. Sixteen children had at least one video with approved technical quality. Three infants lacked fidgety movements. The level of agreement between assessors was acceptable (Krippendorf alpha 0.781). Parental answers to the usability survey were in general positive.InterpretationEngaging parents in screening of cerebral palsy with the help of a smartphone-aided remote General Movements Assessment is possible in the urban area of a South Asian lower middle-income country.

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“…Our findings are partly contradictory to a recent Danish study, which found that smartphone-aided remote GMA increased parents’ sense of control during developmental follow-up [ 28 ]. Some participants in Nepal also questioned the need to learn a separate app, and a recent study from Australia found that even fairly simple instructions can help parents to correctly film their child at home using a smartphone camera and a messaging app [ 13 ]. A small pilot from India suggests that this can also be done in middle-income settings [ 29 ].…”

Section: Discussionmentioning

confidence: 99%

‘We did everything by phone’: a qualitative study of mothers' experience of smartphone-aided screening of cerebral palsy in Kathmandu, Nepal

Kukka,

Bhattarai,

Sundelin

et al. 2024

BMC Pediatr

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Background International guidelines recommend early intervention to all children at risk of cerebral palsy, but targeted screening programs are often lacking in low- and middle-income settings with the highest burden of disease. Smartphone applications have the potential to improve access to early diagnostics by empowering parents to film their children at home followed by centralized evaluation of videos with General Movements Assessment. We explored mothers’ perceptions about participating in a smartphone aided cerebral palsy screening program in Kathmandu, Nepal. Methods This is an explorative qualitative study that used focus group discussions (n = 2) and individual interviews (n = 4) with mothers of term-born infants surviving birth asphyxia or neonatal seizures. Parents used the NeuroMotion™ smartphone app to film their children at home and the videos were analysed using Precthl’s General Movements Assessment. Sekhon et al.’s framework on the acceptability of health care interventions guided the design of the group discussions and interviews, and the deductive qualitative content analysis. Results Mothers were interested in engaging with the programme and expressed hope it would benefit their children. Most felt using the app was intuitive. They were, however, unclear about the way the analysis was performed. Support from the research team was often needed to overcome an initial lack of self-confidence in using the technology, and to reduce anxiety related to the follow-up. The intervention was overall perceived as recommendable but should be supplemented by a face-to-face consultation. Conclusion Smartphone aided remote screening of cerebral palsy is acceptable in a lower middle-income population but requires additional technical support.

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Instructional guides for filming infant movements at home are effective for the General Movements Assessment

Cited by 5 publications

References 10 publications

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk

NeuroMotion smartphone application for remote General Movements Assessment: a feasibility study in Nepal

‘We did everything by phone’: a qualitative study of mothers' experience of smartphone-aided screening of cerebral palsy in Kathmandu, Nepal

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