BSPED2022 Oral Communications Oral Communications 10 (6 abstracts)
Development and testing of a novel ‘Growth monitor’ Smartphone App for growth monitoring and the detection of growth disorders
Thilipan Thaventhiran 1 , Joanna Orr 1 , Joan Morris 2 , Ann Hsu 1 , Lee Martin 3 , Kate Davies 4 , Vincent Harding 5 , Leo Dunkel 1 , Paul Chapple 1 & Helen Storr 1
1Queen Mary University of London, London, United Kingdom; 2St George’s University of London, London, United Kingdom; 3The Children’s Hospital at The Royal London, London, United Kingdom; 4London South Bank University, London, United Kingdom; 5University College London, London, United Kingdom
Background: Growth monitoring identifies treatable conditions in apparently healthy children and prevents inappropriate referrals. Systematic growth monitoring is not currently a UK priority and growth disorders are frequently diagnosed late.
Objectives: Develop and test the accuracy of a smartphone app which enables families to measure a child’s height at home as a cost-effective alternative to primary care growth monitoring.
Methods: ‘GrowthMonitor’ app (GMA) utilises augmented reality to measure height and algorithms to determine height standard deviation score (HSDS) relative to UK population-based height references. Eligible participants were able to stand unaided, provide informed consent and had access to an iPhone compatible with the GMA (iPhone 6S-13; iOS 13.5 or later). GMA measurements were taken in parallel to stadiometer (gold standard) height measurements as part of routine clinic visits. A subset of parents used the GMA to measure their child’s height at home. The target was to achieve 95% of GMA measurements within ±0.5 SDS of stadiometer measurements. Linear regression was used to assess correlation.
Results: Eighty-eight (46M) mean age±SD, 9.8±4.3 years (range: 1.0-17.0) patients had three consecutive GMA measurements in clinic. A significant correlation was found in height measurements obtained from GMA and stadiometer (R2 99.7%; p<0.0001). The average coefficient of variance for repeat GMA measurements was 0.97%. The average difference in SDS between the measurement methods was 0.26 SDS (95% CI:0.22-0.29) with 95% of GMA measurements within ±0.5SDS of stadiometer measurements. Twenty-eight (19M) mean age±SD, 8.8±4.6 years (range: 1.0-17.0) participants had GMA home measurements, which correlated significantly (R2 99.2%; p<0.0001) with clinic stadiometer measurements.
Conclusion: GrowthMonitor produces accurate, reliable height measurements and can be used by parents in the community to capture serial height measurements.
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