Evidence map›Paper›PMID 41815102›Full record

ArticleDigital health

A mixed-methods examination of early care and education providers' routine and pandemic use of digital technology for nutrition training: Insights for digital nutrition training policies and practices.

Lucine Francis, Chelsea L Kracht, Wenyi Chen, Nancy A Perrin, Kim M Gans, Tayla von Ash, Rebecca E Lee, Alison Tovar

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

8 authors.

Lucine FrancisJohns Hopkins University School of Nursing, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-0063-9934
Chelsea L KrachtDivision of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.ORCID https://orcid.org/0000-0002-5467-0849
Wenyi ChenCenter for Pediatric Nursing Research & Evidence-Based Practice, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-9484-3380
Nancy A PerrinJohns Hopkins University School of Nursing, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-2025-6543
Kim M GansDepartment of Human Development and Family Sciences, University of Connecticut, Storrs, CT, USA.ORCID https://orcid.org/0000-0003-3623-7790
Tayla von AshDepartment of Behavioral and Social Sciences, Center for Health Promotion and Health Equity, Brown University School of Public Health, Providence, RI, USA.ORCID https://orcid.org/0000-0001-7621-3545
Rebecca E LeeCenter for Health Promotion and Disease Prevention, Edson College of Nursing & Health Innovation, Arizona State University, Phoenix, AZ, USA.ORCID https://orcid.org/0000-0002-9011-0689
Alison TovarDepartment of Behavioral and Social Sciences, Center for Health Promotion and Health Equity, Brown University School of Public Health, Providence, RI, USA.ORCID https://orcid.org/0000-0002-1559-592X

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Training in Obesity ResearchT32DK064584 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI CORBY K MARTIN, Christopher D Morrison · 2003 to 2026
$5.3M
A home-based intervention to improve adherence to the 24-Hour Movement Guidelines in young childrenK99HD107158 · NICHD · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI KRACHT, CHELSEA L · 2022 to 2023
$213k
NICHD NIH HHS K99 HD107158NICHD NIH HHS L40 HD109931NIDDK NIH HHS T32 DK064584NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

Objectives: This study examined early care and education (ECE) providers' routine and pandemic-related use of digital technology for nutrition training and explored their attitudes and perceptions toward digital technology using the Technology Acceptance Model as a guiding framework to inform future training delivery. Methods: We employed a convergent mixed-methods design consisting of a national survey and semi-structured qualitative interviews with licensed ECE providers. Inclusion criteria were licensed/registered ECE providers, English-speaking, age ≥18, and currently caring for children for pay. Exclusion criteria included unlicensed providers and inactive programs. Survey data was analyzed using chi-square tests to examine differences by variable type and logistic regressions to examine predictors of digital technology use. Qualitative analysis underwent thematic analysis using a blended deductive/inductive approach guided by the Braun and Clarke multi-step method. Integrated analyses were conducted and shown through a joint display to contextualize the findings. Results: Most ECE providers (97.9%) had access to high-speed internet, and 95.1% used electronic devices for work-related purposes. Approximately 83.2% had received nutrition training since the COVID-19 pandemic began, with 53.2% accessing training via virtual platforms. ECE providers enrolled in the Child and Adult Care Food Program were more likely to receive nutrition training digitally than those not enrolled (OR = 24.0, p < .001). As ECE providers' age increases, the odds of receiving training digitally decreased (OR = 0.52, p = .043). Providers reported that digital training improved accessibility and flexibility. However, the study also identified challenges such as reduced social connectedness, technical difficulties, and limited knowledge or awareness of digital nutrition training programming. Conclusion: Findings suggest that digital technology enhances access to nutrition training for ECE providers, yet barriers remain. Future efforts should focus on expanding digital training programming, improving technological support, and balancing digital and in-person training to optimize hands-on learning and social connectedness.

Indexed as

digital technologyEarly care and educationmixed-methods researchnutrition training

Identifiers

PMID41815102
PMCPMC12972561

What OpenQuestion holds

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LicenceCC BY-NC
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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.