Evidence map›Paper›PMID 40896577›Full record

ArticleResuscitation plus2025

Conducting multicenter simulation-based experimental research: lessons drawn from the Q

Carla Sa-Couto, Christoffer Ericsson, Marc Lazarovici

Abstract read
In one paragraph

Article in Resuscitation plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Carla Sa-CoutoRISE-Health, Community Medicine, Information and Decision Sciences Department (MEDCIDS), Faculty of Medicine, University of Porto (FMUP), Porto, Portugal.
Christoffer EricssonArcada University of Applied Sciences, Academy of Business and Healthcare, Helsinki, Finland.
Marc LazaroviciInstitut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, LMU München, München, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multicenter research designs are widely recognized for enhancing the generalizability and real-world applicability of findings across diverse healthcare settings. However, conducting experimental studies across international sites presents substantial methodological, logistical, and operational challenges. Quality CPR was a European multicenter simulation-based experimental study conducted across academic institutions in Portugal, Germany, and Finland. Using a randomized crossover design, the study investigated factors influencing chest compression quality and rescuer fatigue during simulated cardiopulmonary resuscitation. Rather than serving as a methodological guide, this paper reflects on the practical experience of designing and implementing the Quality CPR study, highlighting twelve key lessons across the research lifecycle-planning, development, execution, and dissemination. These include collaborative protocol design, the development of a practical researcher guide to ensure cross-site harmonization, active support and real-time data monitoring during execution, and integrated dissemination strategies throughout the project lifecycle. By documenting the enablers of success, this paper provides a practical reference for researchers planning similar international, multicenter studies. The insights offered aim to support the growing community of healthcare researchers engaged in cross-institutional initiatives.

Indexed as

Experimental designInternational collaborationMulticenter studiesPractical guidanceResearchSimulation

Identifiers

PMID40896577
PMCPMC12395510

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.