Evidence map›Paper›PMID 38903468›Full record

ArticleFrontiers in psychology2024

Virtual robotic telepresence early childhood mental health consultation to childcare centers in the aftermath of COVID-19: training approaches and perceived acceptability and usefulness.

Jason F Jent, Sara M St George, Yaray Agosto, William A Rothenberg, Elizabeth Howe, Carolina Velasquez, Elana Mansoor, Emperatriz G Garcia, Rebecca J Bulotsky-Shearer, Ruby Natale

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

10 authors.

Jason F JentLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Sara M St GeorgeLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Yaray AgostoLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
William A RothenbergLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Elizabeth HoweLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Carolina VelasquezLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Elana MansoorLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Emperatriz G GarciaLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.
Rebecca J Bulotsky-ShearerDepartment of Psychology, University of Miami, Coral Gables, FL, United States.
Ruby NataleLeonard M. Miller School of Medicine, University of Miami, Miami, FL, United States.

Funding

Jump Start+:COVID Support to improve resiliency and mitigate risks in childcare centers serving children from low-income ethnic minority backgrounds.R01HD105474 · NICHD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JENT, JASON F, NATALE, RUBY ANN · 2022 to 2024
$1.9M
NICHD NIH HHS R01 HD105474
6 · The paper itself

Abstract

Introduction: Childcare center closures during COVID-19 impacted education for approximately 40 million children nationwide. Unfortunately, COVID-19 restrictions significantly limited the extent that outside personnel could provide in-person support to educators, resulting in the need for innovative approaches to meet childcare centers' needs. A virtual robotic telepresence approach was applied to early childhood consultation models to promote child resilience while mitigating COVID-19 risks. The goal of this study was to examine how training influenced consultants' and childcare staff uptake of the virtual robotic telepresence consultation approach and their acceptance of this technology. Methods: Ten early childhood consultants received multimedia/simulation training and weekly communities of practice related to virtual telepresence robotic consultation. Telepresence robotic consultation equipment was deployed to 16 childcare centers in a diverse multilingual metropolitan area as a part of a larger randomized controlled trial. Consultants trained childcare staff (14 center directors and 58 teachers) on how to receive virtual telepresence robotic consultation. Demographic information and measures of technology acceptability and uptake were collected from childcare staff and consultants. A mixed methods approach was used including multilevel modeling and focus groups to examine consultation uptake, acceptability, barriers, and facilitators of virtual telepresence robotic consultation implementation. Results: Consultants and childcare staff generally perceived the virtual telepresence consultation approach to be useful and easy to use. Consultant perceptions of the acceptability of technology did not change over time. Childcare staff, center, and consultant factors impacted the uptake of the virtual robotic telepresence consultation approach and childcare staff acceptance of the technology. Focus groups revealed that consultants believed that additional hands-on training with childcare staff would have benefited implementation and expressed a desire for a hybrid approach for consultation. Discussion: Perceptions of telepresence robotic consultation acceptability are discussed, including future recommendations for training.

Indexed as

childcareCOVID-19 virtual robotic telepresence consultationearly childhood consultationtechnology acceptabilityteleconsultationtelepresence robottraining

Identifiers

PMID38903468
PMCPMC11188678

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.