Evidence map›Paper›PMID 35576565›Full record

Observational studyJMIR mHealth and uHealth2022

Early Detection of Neurodevelopmental Disorders of Toddlers and Postnatal Depression by Mobile Health App: Observational Cross-sectional Study.

Fabrice Denis, Laura Maurier, Kevin Carillo, Roxana Ologeanu-Taddei, Anne-Lise Septans, Agnes Gepner, Florian Le Goff, Madhu Desbois, Baptiste Demurger, Denise Silber and 3 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04958174 (A Smartphone Application for Screening of Developmental Disorders in Children), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% of its field
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.

NCT04958174 unknown statusnot on this map

A Smartphone Application for Screening of Developmental Disorders in Children: a Prospective Feasibility Study

Typeobservational_patient_registrySponsorWepromRan2021 to 2023Enrolled180ConditionsDevelopment, ChildArmsweb-application
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Who, when, where, and why: A systematic review of "late diagnosis" in autism.Autism research : official journal of the International Society for Autism Research · 2025
    Pooled it
  2. Trial
  3. Observational
  4. Review
  5. Review
  6. Article
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

13 authors at 6 institutions in 1 country.

Fabrice DenisInstitut Inter-Regional Jean Bernard, ELSAN, Le Mans, France.ORCID 0000-0002-2190-7782
Laura MaurierInstitut Inter-Regional Jean Bernard, ELSAN, Le Mans, France.ORCID 0000-0002-4790-3069
Kevin CarilloToulouse Business School, Toulouse, France.ORCID 0000-0002-9714-1621
Roxana Ologeanu-TaddeiToulouse Business School, Toulouse, France.ORCID 0000-0002-9797-325X
Anne-Lise SeptansInstitut Inter-Regional Jean Bernard, ELSAN, Le Mans, France.ORCID 0000-0002-9707-270X
Agnes GepnerKelindi, Lille, France.ORCID 0000-0003-2511-8366
Florian Le GoffKelindi, Lille, France.ORCID 0000-0001-9367-9769
Madhu DesboisKelindi, Lille, France.ORCID 0000-0001-6192-3878
Baptiste DemurgerKelindi, Lille, France.ORCID 0000-0002-9703-1166
Denise SilberBasil Strategies, Paris, France.ORCID 0000-0001-7614-7170
Jean-David ZeitounCentre d'Epidémiologie Clinique, Hôtel Dieu Hospital, Assistance Publique-Hopitaux de Paris, Paris, France.ORCID 0000-0001-9590-3461
Guedalia Peretz AssuiedService de Pédopsychiatrie, Centre Hospitalier des Pyrénées, Pau, France.ORCID 0000-0003-0583-5990
Olivier BonnotService de Pédopsychiatrie, Centre Hospitalier Universitaire de Nantes, Nantes, France.ORCID 0000-0003-0005-4765
Université de Lille · FRCentre Jean Bernard · FRTBS Education · FRAssistance Publique – Hôpitaux de Paris · FRCentre Hospitalier De Pau · FRCentre Hospitalier Universitaire de Nantes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelays in the diagnosis of neurodevelopmental disorders (NDDs) in toddlers and postnatal depression (PND) in mothers are major public health issues. In both cases, early intervention is crucial.

objectiveWe aimed to assess if a mobile app named Malo can reduce delay in the recognition of NDD and PND.

methodsWe performed an observational, cross-sectional, data-based study in a population of young parents with a minimum of 1 child under 3 years of age at the time of inclusion and using Malo on a regular basis. We included the first 4000 users matching the criteria and agreeing to participate between November 11, 2021, and January 14, 2022. Parents received monthly questionnaires via the app, assessing skills on sociability, hearing, vision, motricity, language of their infants, and possible autism spectrum disorder. Mothers were also requested to answer regular questionnaires regarding PND, from 4-28 weeks after childbirth. When any patient-reported outcomes matched predefined criteria, an in-app notification was sent to the user, recommending the booking of an appointment with their family physician or pediatrician. The main outcomes were the median age of the infant at the time of notification for possible NDD and the median time of PND notifications after childbirth. One secondary outcome was the relevance of the NDD notification for a consultation as assessed by the physicians.

resultsAmong 4242 children assessed by 5309 questionnaires, 613 (14.5%) had at least 1 disorder requiring a consultation. The median age of notification for possible autism spectrum, vision, audition, socialization, language, or motor disorders was 11, 9, 17, 12, 22, and 4 months, respectively. The sensitivity of the alert notifications of suspected NDDs as assessed by the physicians was 100%, and the specificity was 73.5%. Among 907 mothers who completed a PND questionnaire, highly probable PND was detected in 151 (16.6%) mothers, and the median time of detection was 8-12 weeks.

conclusionsThe algorithm-based alert suggesting NDD was highly sensitive with good specificity as assessed by real-life practitioners. The app was also efficient in the early detection of PND. Our results suggest that the regular use of this multidomain familial smartphone app would permit the early detection of NDD and PND.

trial registrationClinicalTrials.gov NCT04958174; https://clinicaltrials.gov/ct2/show/NCT04958174.

Indexed as

Autism Spectrum DisorderDepression, PostpartumMobile ApplicationsNeurodevelopmental DisordersTelemedicineChild, PreschoolCross-Sectional StudiesFemaleHumansInfantalgorithmASDautismautism spectrum disorderchildrendigital health interventiondigital productearly detectionmHealthmobile healthmobile health appmobile phoneNDDneurodevelopmental disorderparentingpediatricPNDpostnatal depressionreal-world studysmartphone

Identifiers

PMID35576565
PMCPMC9152715
OpenAlexW4224250696

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.