Evidence map›Paper›PMID 38367589›Full record

ArticleEarly human development2024

Similar early intervention referral rates following in-person administration of the Bayley Scales of Infant and Toddler Development, 4th Edition versus Telehealth Administration of the Developmental Assessment in Young Children, 2nd Edition in the high-risk infant population.

Jasmine C Ke, Panteha Hayati Rezvan, Douglas Vanderbilt, Christine B Mirzaian, Alexis Deavenport-Saman, Beth A Smith

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Early human development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.3field-weighted citation impact, top 10% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Jasmine C KeDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA. Electronic address: jke@chla.usc.edu.
Panteha Hayati RezvanBiostatistics and Data Management Core, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Douglas VanderbiltDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA; Keck School of Medicine of University of Southern California, Los Angeles, CA, USA.
Christine B MirzaianKeck School of Medicine of University of Southern California, Los Angeles, CA, USA; Division of General Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Alexis Deavenport-SamanKeck School of Medicine of University of Southern California, Los Angeles, CA, USA; Division of General Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Beth A SmithDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA; Keck School of Medicine of University of Southern California, Los Angeles, CA, USA.
Children's Hospital of Los Angeles · USUniversity of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

backgroundInfants with prematurity, low birthweight, and medical comorbidities are at high risk for developmental delays and neurodevelopmental disabilities and require close monitoring. Due to the COVID-19 pandemic, high-risk infant follow-up (HRIF) programs have adapted to perform developmental assessments via telehealth.

objectivesDescribe the referral rates to initiate, continue, or increase/add early intervention (EI) therapies based on in-person use of the Bayley Scales of Infant and Toddler Development, 4th Edition (BSID-IV) or telehealth use of the Developmental Assessment in Young Children, 2nd Edition (DAYC-2).

methodsA retrospective chart review was conducted on 203 patients seen in the HRIF program at an academic medical center in Southern California. Patients were divided into in-person (BSID-IV) and telehealth (DAYC-2) assessment groups. Statistical analyses were performed to describe demographic characteristics, medical information, and referral rates for EI therapies by the types of visits.

resultsThe in-person and telehealth groups demonstrated similar demographic and clinical characteristics and comparable referral rates for initiating EI therapies. Telehealth patients already receiving therapies were recommended to increase/add EI therapies at a higher rate compared to in-person patients.

conclusionsThe BSID-IV is widely used to assess for developmental delays in the high-risk infant population, but in-person administration of this tool poses limitations on its accessibility. Telehealth administration of an alternative tool, such as the DAYC-2, can lead to similar EI referral rates as in-person administration of the BSID-IV. Increased use of telehealth developmental assessments can promote timely detection of developmental delays and minimize gaps in healthcare access.

Indexed as

Developmental DisabilitiesTelemedicineChildChild DevelopmentChild, PreschoolHumansInfantInfant, NewbornPandemicsReferral and ConsultationRetrospective StudiesDevelopmental assessmentEarly interventionHigh-risk infant follow-upTelehealth

Identifiers

PMID38367589
PMCPMC12412277
OpenAlexW4391817883

What OpenQuestion holds

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Registered trials

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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.