The Baby Moves smartphone app for General Movements Assessment: Engagement amongst extremely preterm and term-born infants in a state-wide geographical study

J Paediatr Child Health. 2019 May;55(5):548-554. doi: 10.1111/jpc.14240. Epub 2018 Oct 4.

Abstract

Aim: The Baby Moves smartphone application is designed for parents to video their infants' spontaneous movement for remote General Movements Assessment (GMA). We aimed to assess the engagement with Baby Moves amongst high- and low-risk infants' families and the socio-demographic variables related to engagement.

Methods: Families of extremely preterm (EP; <28 weeks' gestational age) or extremely low-birthweight (ELBW; <1000 g) infants and term-born controls from a state-wide geographical cohort study were asked to download Baby Moves. Baby Moves provided reminders and instructions to capture videos of their infants' general movements. Parents were surveyed about Baby Moves' usability.

Results: The parents of 451 infants (226 EP/ELBW; 225 control) were recruited; 416 (204 EP/ELBW; 212 control) downloaded Baby Moves, and 346 (158 EP/ELBW; 188 control) returned at least one scorable video for remote GMA. Fewer EP/ELBW families submitted a scorable video than controls (70 vs. 83%, respectively; odds ratio (OR) 0.48, 95% confidence interval (CI) 0.3-0.79, P = 0.003), but the difference diminished when adjusted for socio-demographic variables (OR 1.09, 95% CI 0.59-2.0, P = 0.79). Families who received government financial support (OR 0.28, 95% CI 0.1-0.78, P = 0.015), who spoke limited English at home (OR 0.39, 95% CI 0.22-0.69, P = 0.001) or with lower maternal education (OR 0.38, 95% CI 0.21-0.68, P = 0.001) were less likely to return a scorable video. Surveyed parents responded mostly positively to Baby Moves' usability.

Conclusions: Most parents in this study successfully used Baby Moves to capture infant movements for remote GMA. Families of lower socio-demographic status used Baby Moves less.

Keywords: General Movements Assessment; cohort study; preterm infants; smartphone application; socio-demographic status.

Publication types

  • Comparative Study

MeSH terms

  • Academic Medical Centers
  • Cerebral Palsy / diagnosis*
  • Cerebral Palsy / epidemiology
  • Confidence Intervals
  • Developmental Disabilities / diagnosis
  • Developmental Disabilities / epidemiology
  • Female
  • Gestational Age
  • Humans
  • Infant, Extremely Low Birth Weight
  • Male
  • Mobile Applications / statistics & numerical data*
  • Monitoring, Physiologic / methods*
  • Movement / physiology*
  • Odds Ratio
  • Outcome Assessment, Health Care
  • Pregnancy
  • Risk Assessment
  • Sensitivity and Specificity
  • Smartphone / statistics & numerical data*
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Term Birth
  • Victoria