Evidence map›Paper›PMID 32231781›Full record

ReviewSAGE open medicine2020

A targeted systematic review of cost analyses for implementation of simulation-based education in healthcare.

Daniel S Hippe, Rachel A Umoren, Alex McGee, Sherri L Bucher, Brian W Bresnahan

Open access · goldAbstract readReview
In one paragraph

Review in SAGE open medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Daniel S HippeUniversity of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0003-2427-4404
Rachel A UmorenUniversity of Washington, Seattle, WA, USA.
Alex McGeeUniversity of Washington, Seattle, WA, USA.
Sherri L BucherIndiana University School of Medicine, Indianapolis, IN, USA.
Brian W BresnahanUniversity of Washington, Seattle, WA, USA.
University of Washington · USIndiana University School of Medicine

Funding

Global Network for Women's and Children's Health ResearchUG1HD076461 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI BUCHER, SHERRI LYNN, SZYLD, EDGARDO GABRIEL · 2018 to 2023
$3.2M
6 · The paper itself

Abstract

Over the past two decades, there has been an increase in the use of simulation-based education for training healthcare providers in technical and non-technical skills. Simulation education and research programs have mostly focused on the impact on clinical knowledge and improvement of technical skills rather than on cost. To study and characterize existing evidence to inform multi-stakeholder investment decisions, we performed a systematic review of the literature on costs in simulation-based education in medicine in general and in neonatal resuscitation as a particular focus. We conducted a systematic literature search of the PubMed database using two targeted queries. The first searched for cost analyses of healthcare simulation-based education more broadly, and the second was more narrowly focused on cost analyses of neonatal resuscitation training. The more general query identified 47 qualified articles. The most common specialties for education interventions were surgery (51%); obstetrics, gynecology, or pediatrics (11%); medicine, nursing, or medical school (11%); and urology (9%), accounting for over 80% of articles. The neonatal resuscitation query identified five qualified articles. The two queries identified seven large-scale training implementation studies, one in the United States and six in low-income countries. There were two articles each from Tanzania and India and one article each from Zambia and Ghana. Methods, definitions, and reported estimates varied across articles, implying interpretation, comparison, and generalization of program effects are challenging. More work is needed to understand the costs, processes, and outcomes likely to make simulation-based education programs cost-effective and scalable. To optimize return on investments in training, assessing resource requirements, associated costs, and subsequent outcomes can inform stakeholders about the potential sustainability of SBE programs. Healthcare stakeholders and decision makers will benefit from more transparent, consistent, rigorous, and explicit assessments of simulation-based education program development and implementation costs in low- and high-income countries.

Indexed as

cost analysiscost-effectivenessneonatal resuscitationObstetrics/gynecologyreviewsimulationtraining

Identifiers

PMID32231781
PMCPMC7082864
OpenAlexW3012322778

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.