Evidence map›Paper›PMID 39326455›Full record

ArticleAmerican journal of perinatology2025

Development and Evaluation of a Rural Longitudinal Neonatal Resuscitation Program Telesimulation Program (MOOSE: Maine Ongoing Outreach Simulation Education).

Misty Melendi, Allison E Zanno, Jeffrey A Holmes, Micheline Chipman, Anya Cutler, Henry Stoddard, Leah M Seften, Anna Gilbert, Mary Ottolini, Alexa Craig and 1 more

Abstract read
In one paragraph

Article in American journal of perinatology, 2025. 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
–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

1 citing paper in PubMed.

  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

11 authors.

Misty Melendi *Department of Pediatrics, Tufts University School of Medicine, Boston, Massachusetts.
Allison E Zanno *Department of Pediatrics, Tufts University School of Medicine, Boston, Massachusetts.
Jeffrey A HolmesDepartment of Emergency Medicine, Tufts University School of Medicine, Boston, Massachusetts.
Micheline ChipmanDepartment of Simulation Education, The Hannaford Center for Safety, Innovation and Simulation, Maine Medical Center, Portland, Maine.
Anya CutlerResearch Data Analyst, Maine Health Institute for Research, Center for Interdisciplinary Population and Health Research, Portland, Maine.
Henry StoddardResearch Data Analyst, Maine Health Institute for Research, Center for Interdisciplinary Population and Health Research, Portland, Maine.
Leah M SeftenDepartment of Pediatrics, The Barbara Bush Children's Hospital at Maine Medical Center, Portland, Maine.
Anna GilbertDepartment of Pediatrics, The Barbara Bush Children's Hospital at Maine Medical Center, Portland, Maine.
Mary OttoliniDepartment of Pediatrics, The Barbara Bush Children's Hospital at Maine Medical Center, Portland, Maine.
Alexa CraigDepartment of Pediatrics, Tufts University School of Medicine, Boston, Massachusetts.ORCID 0000-0002-6477-3390
Leah A MalloryDepartment of Pediatrics, Tufts University School of Medicine, Boston, Massachusetts.

Funding

Telemedicine to Reduce Disparities in the Identification and Treatment of Neonatal EncephalopathyP20GM139745 · NIGMS · MAINEHEALTH · PI David B. Seder · 2021 to 2026
$19.2M
Center for Biomedical Research Excellence (COBRE) in Acute Care Research and Rural Disparities 1P20GM139745-01NIGMS NIH HHS P20 GM139745
6 · The paper itself

Abstract

Neonatal resuscitation is a high-acuity, low-occurrence event and many rural pediatricians report feeling underprepared for these events. We piloted a longitudinal telesimulation (TS) program with a rural hospital's interprofessional delivery room teams aimed at improving adherence to Neonatal Resuscitation Program (NRP) guidelines and teamwork.A TS study was conducted monthly in one rural hospital over a 10-month period from November 2020 to August 2021. TS sessions were remotely viewed and debriefed by experts, a neonatologist and a simulation educator. Sessions were video recorded and assessed using a scoring tool with validity evidence for NRP adherence. Teamwork was assessed using both TeamSTEPPS 2.0 Team Performance Observation Tool and Mayo High-Performance Teamwork Scale.We conducted 10 TS sessions in one rural hospital. There were 24 total participants, who rotated through monthly sessions, ensuring interdisciplinary team composition was reflective of realistic staffing. NRP adherence rate for full code scenarios improved from a baseline of 39 to 95%. Compared with baseline data for efficiency, multiple NRP skills improved (e.g., cardiac lead placement occurred 12× faster, 0:31 seconds vs. 6:21 minutes). Teamwork scores showed improvement in all domains.Our results demonstrate that a TS program aimed at improving NRP and team performance is possible to implement in a rural setting. Our pilot study showed a trend toward improved NRP adherence, increased skill efficiency, and higher-quality teamwork and communication in one rural hospital. Additional research is needed to analyze program efficacy on a larger scale and to understand the impact of training on patient outcomes. · Optimal newborn outcomes depend on skillful implementation of NRP.. · Telesimulation can deliver medical education that circumvents challenges in rural areas.. · A longitudinal NRP TS program is possible to implement in a rural setting.. · A rural NRP telesimulation program may improve interprofessional resuscitation performance.. · A rural NRP telesimulation program may improve interprofessional resuscitation teamwork..

Indexed as

Patient Care TeamResuscitationSimulation TrainingClinical CompetenceGuideline AdherenceHospitals, RuralHumansInfant, NewbornMainePilot ProjectsProgram EvaluationRural Health Services

Identifiers

PMID39326455
PMCPMC11983237

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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.