Evidence map›Paper›PMID 38741098›Full record

ArticleBMC health services research2024

Implementation of a multi-site neonatal simulation improvement program: a cost analysis.

Xiao Xu, John Yao, Janine Bohnert, Nicole Yamada, Henry C Lee

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 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
–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

5 authors.

Xiao XuDepartment of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
John YaoDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Janine BohnertDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Nicole YamadaDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Henry C LeeDepartment of Pediatrics, University of California San Diego School of Medicine, 9300 Campus Point Drive, MC 7774, La Jolla, CA, 92037, USA. henrylee@health.ucsd.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
In situ simulation of neonatal resuscitation to improve team performance and clinical outcomesR01HD087425 · NICHD · STANFORD UNIVERSITY · PI LEE, HENRY CHONG · 2017 to 2021
$1.9M
National Institutes of Health/Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD087425NCATS NIH HHS UL1 TR001863NICHD NIH HHS R01 HD087425
6 · The paper itself

Abstract

backgroundTo improve patient outcomes and provider team practice, the California Perinatal Quality Care Collaborative (CPQCC) created the Simulating Success quality improvement program to assist hospitals in implementing a neonatal resuscitation training curriculum. This study aimed to examine the costs associated with the design and implementation of the Simulating Success program.

methodsFrom 2017-2020, a total of 14 sites participated in the Simulating Success program and 4 of them systematically collected resource utilization data. Using a micro-costing approach, we examined costs for the design and implementation of the program occurring at CPQCC and the 4 study sites. Data collection forms were used to track personnel time, equipment/supplies, space use, and travel (including transportation, food, and lodging). Cost analysis was conducted from the healthcare sector perspective. Costs incurred by CPQCC were allocated to participant sites and then combined with site-specific costs to estimate the mean cost per site, along with its 95% confidence interval (CI). Cost estimates were inflation-adjusted to 2022 U.S. dollars.

resultsDesigning and implementing the Simulating Success program cost $228,148.36 at CPQCC, with personnel cost accounting for the largest share (92.2%), followed by program-related travel (6.1%), equipment/supplies (1.5%), and space use (0.2%). Allocating these costs across participant sites and accounting for site-specific resource utilizations resulted in a mean cost of $39,210.69 per participant site (95% CI: $34,094.52-$44,326.86). In sensitivity analysis varying several study assumptions (e.g., number of participant sites, exclusion of design costs, and useful life span of manikins), the mean cost per site changed from $35,645.22 to $39,935.73. At all four sites, monthly cost of other neonatal resuscitation training was lower during the program implementation period (mean = $1,112.52 per site) than pre-implementation period (mean = $2,504.01 per site). In the 3 months after the Simulating Success program ended, monthly cost of neonatal resuscitation training was also lower than the pre-implementation period at two of the four sites.

conclusionsEstablishing a multi-site neonatal in situ simulation program requires investment of sufficient resources. However, such programs may have financial and non-financial benefits in the long run by offsetting the need for other neonatal resuscitation training and improving practice.

Indexed as

Quality ImprovementResuscitationCaliforniaCosts and Cost AnalysisHumansInfant, NewbornSimulation TrainingCost analysisIn situ simulationNeonatal resuscitation programSimulation science

Identifiers

PMID38741098
PMCPMC11090826

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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.