Feasibility of the Baby Moves app for remote General Movements Assessment: a prospective observational cohort study in an Italian infant population - Report - MDSpire

Feasibility of the Baby Moves app for remote General Movements Assessment: a prospective observational cohort study in an Italian infant population

  • By

  • Ginevra Costagli

  • Lucia Rocchitelli

  • Olena Chorna

  • Sabrina Del Secco

  • Giulia Corsi

  • Colleen Peyton

  • Alicia J Spittle

  • Amanda Ka-Ling Kwong

  • Andrea Guzzetta

  • July 6, 2026

  • 0 min

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Clinical Report: Evaluation of the Baby Moves Application for Remote Assessment

Overview

The Baby Moves smartphone application was evaluated for its feasibility and acceptability in conducting remote General Movements Assessment (GMA) in an Italian cohort of infants. The study found high engagement from families, with significant video submissions.

Background

General Movements Assessment (GMA) is a critical tool for early detection of cerebral palsy (CP) through the observation of spontaneous motor patterns in infants. Traditional in-person assessments can be limited by geographical and logistical barriers. The Baby Moves app offers a novel approach to facilitate remote assessments.

Data Highlights

MeasureResult
Infants Recruited199
At-risk Infants85
Healthy Term Infants114
App Uptake91.9% (183/199)
Families Submitting Videos91.5% (182)
Mean Number of Uploaded Videos4.3
Families Submitting ≥5 Videos58.3%

Key Findings

  • High app uptake with 91.9% of families downloading and activating the Baby Moves app.
  • 91.5% of families submitted at least one video for assessment.
  • Healthy term infants' families uploaded more videos on average compared to at-risk infants (4.6 vs 3.8).
  • Parental survey indicated high usability and acceptability of the app.
  • Challenges reported were primarily related to connectivity and infant state during recording.

Clinical Implications

The findings indicate that the Baby Moves app can facilitate remote GMA.

Conclusion

The Baby Moves app demonstrates feasibility and acceptability for remote GMA in an Italian cohort.

Related Resources & Content

  1. American Academy for Cerebral Palsy and Developmental Medicine, AACPDM, Early Detection of Cerebral Palsy, 2026 -- Early Detection of Cerebral Palsy | AACPDM
  2. Frontiers in Digital Health, 2026 -- Development, feasibility testing and evaluation of a family-oriented mobile application to promote healthy lifestyle in infants and parents during early life: a mixed methods study
  3. BMJ Paediatrics Open, 2026 -- Smartphone-based support for early childhood development in a rural low-resource setting: an individually randomised pilot feasibility trial from Guatemala
  4. Frontiers in Psychiatry — Objective Evaluation of Attention-Deficit/Hyperactivity Disorder Using POV Glasses and Machine Learning Techniques
  5. npj Digital Medicine — Home-Based Detection of Isolated REM Sleep Behavior Disorder Using a Lumbar Wearable Sensor
  6. Early Detection of Cerebral Palsy | AACPDM - American Academy for Cerebral Palsy and Developmental Medicine
  7. Implementation Fidelity of a Smartphone Application for Population-Based General Movement Assessment: The Early Moves Study - PubMed
  8. Artificial intelligence in Prechtl's General Movements Assessment: A systematic review and meta-analysis

Original Source(s)

Feasibility of the Baby Moves app for remote General Movements Assessment: a prospective observational cohort study in an Italian infant population

  • by Ginevra Costagli, Lucia Rocchitelli, Olena Chorna, Sabrina Del Secco, Giulia Corsi, Colleen Peyton, Alicia J Spittle, Amanda Ka-Ling Kwong, Andrea Guzzetta

  • July 6, 2026

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