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Implementation Fidelity of a Smartphone Application for Population-Based General Movement Assessment: The Early Moves
Caroline F Alexander1, Sarah E Hall2, Alison Salt3
1Curtin School of Allied Health, Curtin University, Perth, Western Australia; The Kids Research Institute Australia, Perth, Western Australia.
The Journal of Pediatrics
|June 28, 2025
Summary
The Early Moves study successfully recruited over 3000 infants for General Movement Assessment (GMA) using a smartphone app. While infants were representative, parental engagement varied, highlighting the need for targeted support strategies for diverse families.
Area of Science:
- Developmental Pediatrics
- Public Health Research
- Digital Health Implementation
Background:
- General Movement Assessment (GMA) is crucial for early detection of neurological conditions.
- Application-based data collection offers scalable solutions for pediatric assessments.
- Understanding cohort characteristics and implementation fidelity is key for population-based studies.
Purpose of the Study:
- To characterize the Early Moves cohort's infant and maternal demographics.
- To assess the cohort's representativeness against the general population.
- To evaluate the implementation fidelity of app-based General Movement Assessment (GMA) video collection.
Main Methods:
- A prospective observational study involving 3002 infants and their mothers in Perth, Western Australia.
- Data collection via hospital records for sociodemographic and clinical characteristics.
- Parents used the Baby Moves smartphone application to record GMA videos, assessed by certified professionals.
Main Results:
- Infants were representative of the local population regarding key risk factors.
- Mothers were more often Caucasian and from higher socioeconomic backgrounds.
- 76% adherence was achieved, with most families needing personalized reminders; prematurity and socioeconomic factors impacted engagement.
Conclusions:
- Inclusive recruitment and broad criteria facilitated diverse participation.
- App-based GMA is feasible in large cohorts, but notifications alone are insufficient for engagement.
- Targeted implementation strategies are essential to support priority families in population-based applications.
