Evidence map›Paper›PMID 42413968›Full record

Observational studyBMJ paediatrics open2026

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

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

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ paediatrics open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06278961 (The Ontogeny of Fidgety Movements in Infants At High-Risk of Cerebral Palsy), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06278961 recruitingnot on this map

The Ontogeny of Fidgety Movements in Infants At High-Risk of Cerebral Palsy

TypeobservationalSponsorAnn & Robert H Lurie Children's Hospital of ChicagoRan2021 to 2026Enrolled350ConditionsInfant Development, Cerebral Palsy, Motor Disorders, Neurological DisorderArmsObservational
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ginevra Costagli *Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy ginevra.costagli@fsm.unipi.it.ORCID http://orcid.org/0009-0005-0281-9559
Lucia Rocchitelli *Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Calambrone, Toscana, Italy.
Olena ChornaDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Calambrone, Toscana, Italy.ORCID http://orcid.org/0000-0002-2570-1597
Sabrina Del SeccoDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Calambrone, Toscana, Italy.
Giulia CorsiDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Calambrone, Toscana, Italy.
Colleen PeytonDepartment of Physical Therapy and Human Movement Science, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Alicia J SpittleDepartment of Physiotherapy, The University of Melbourne, Carlton, Victoria, Australia.
Amanda Ka-Ling KwongDepartment of Physiotherapy, The University of Melbourne, Carlton, Victoria, Australia.
Andrea GuzzettaDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the feasibility and acceptability of the Baby Moves smartphone application for remote General Movements Assessment (GMA) in an Italian cohort of at-risk and healthy term infants.

designProspective observational feasibility cohort study.

settingHome-based study, parents using a smartphone app. PATIENTS: A total of 199 infants were recruited between 2021 and 2024, including 85 at-risk infants and 114 healthy term infants. Eligibility for at-risk infants included being born preterm (<36 weeks) and/or with neonatal neurological risk conditions and healthy term infants born >37 weeks. Infants with lethal anomalies were excluded.

interventionsParents used the Baby Moves app to upload six 3-minute videos of their infant's spontaneous movements from 10 to 20 weeks post-term age. Videos were assessed by certified GMA evaluators blinded to clinical history.

main outcome measuresFeasibility, defined a priori as submission of ≥3 videos between 10 and 20 weeks, including ≥1 during the fidgety period (12-16 weeks). Secondary outcomes included number and quality of videos, associations with parental sociodemographic factors and parental acceptability.

resultsApp uptake was high: 91.9% (183/199) downloaded and activated the app, and 182 families (91.5%) submitted at least one video. Across the cohort, the mean number of uploaded videos was 4.3. More than half of the sample (58.3%) submitted ≥5 videos. Families of healthy term infants uploaded more videos than at-risk infants (mean 4.6 vs 3.8). Sociodemographic variables showed no clinically meaningful associations with submission rates. Parental survey data (n=135) indicated high usability and acceptability, with reported challenges mainly related to connectivity or infant state during recording.

conclusionsThe Baby Moves app is feasible and acceptable for remote GMA in an Italian setting. High engagement across both at-risk and control families supports integration of app-based GMA into early neurodevelopmental pathways, helping overcome geographical and logistical barriers to timely assessment. TRIAL REGISTRATION NUMBER: NCT06278961.

Indexed as

Mobile ApplicationsFeasibility StudiesFemaleHumansInfantInfant, NewbornItalyMaleMovementParentsProspective StudiesVideo RecordingCerebral PalsyInfantIntensive Care Units, Neonatal

Identifiers

PMID42413968
PMCPMC13343052

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.