Evidence map›Paper›PMID 36763355›Full record

ArticleJAMA network open2023

Implementation of a Multimodal Knowledge-Exchange Platform to Provide Trauma Critical Care Education During the Ongoing Conflict in Ukraine.

Lucrezia Rovati, Simon Zec, Dmytro Dziuba, Anna Masoodi, Aysun Tekin, Claudia Castillo Zambrano, Meghan Brown, Oleksiy Khavryuchenko, Oleksandr Bugay, Grygorii Khytryi and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

14 authors.

Lucrezia RovatiDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
Simon ZecDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
Dmytro DziubaDepartment of Anesthesiology and Intensive Care, Shupyk University of Public Health of Ukraine, Kyiv, Ukraine.
Anna MasoodiDepartment of Anesthesiology and Intensive Care, Shupyk University of Public Health of Ukraine, Kyiv, Ukraine.
Aysun TekinDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
Claudia Castillo ZambranoDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
Meghan BrownDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
Oleksiy KhavryuchenkoDepartment of Anesthesiology and Intensive Care, Shupyk University of Public Health of Ukraine, Kyiv, Ukraine.
Oleksandr BugayNational Military Medical Clinical Center, Main Military Clinical Hospital, Kyiv, Ukraine.
Grygorii KhytryiUkrainian Military Medical Academy, Kyiv, Ukraine.
Oleg LoskutovDepartment of Anesthesiology and Intensive Care, Shupyk University of Public Health of Ukraine, Kyiv, Ukraine.
Yue DongDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota.
Ognjen GajicDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
Alexander S NivenDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The conflict in Ukraine has forced civilian hospitals with limited trauma and battlefield medicine experience to care for casualties of war, placing significant strain on the health care system. Using the Checklist for Early Recognition and Treatment of Acute Illness and Injury (CERTAIN) program, a multimodal trauma critical care knowledge-exchange platform was created for clinicians practicing in these institutions. Objectives: To describe the development and implementation of the CERTAIN for Ukraine program and to evaluate the reach of this intervention, together with participant engagement and satisfaction. Design, Setting, and Participants: This quality improvement study included clinicians caring for critically ill patients during the ongoing Ukrainian conflict who were part of a community developed using a messaging app. The program was implemented by a group of international trauma and critical care experts in collaboration with critical care leaders from the Shupyk National Healthcare University in Kyiv, Ukraine. This study evaluates data collected from the CERTAIN for Ukraine program from its launch on April 9, 2022, to August 31, 2022. Interventions: The initiative comprised a longitudinal series of interactive tele-education sessions, a webpage containing the CERTAIN approach and current trauma critical care guidelines translated into Ukrainian and Russian, and a private messaging chat for asynchronous discussion. Main Outcomes and Measures: Participant engagement and satisfaction were tracked using multimedia analytics and a post-session survey. Results: Since program launch, 838 participants have joined the messaging group, and 6 tele-education sessions have been delivered, with 1835 total views. The CERTAIN website has had 3527 visits, mainly from Ukraine (1378 [39%]) and the United States (1060 [30%]). Of the 74 completed postsession surveys, 65 respondents (88%) rated the course content excellent or very good, and 73 (99%) recommended it to others. Conclusions and Relevance: The findings of this quality improvement study indicate that, using widely available and low-cost platforms, knowledge was shared rapidly and efficiently to a large community of clinicians practicing in a wartime environment with broad-based engagement and a high level of learner satisfaction.

Indexed as

Critical CareHospitalsHumansLongitudinal StudiesQuality ImprovementUkraineUnited States

Identifiers

PMID36763355
PMCPMC9918882

What OpenQuestion holds

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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.