Evidence map›Paper›PMID 29710111›Full record

Trial reportJAMA internal medicine2018

Effect of Systematic Physician Cross-checking on Reducing Adverse Events in the Emergency Department: The CHARMED Cluster Randomized Trial.

Yonathan Freund, Hélène Goulet, Judith Leblanc, Jérôme Bokobza, Patrick Ray, Maxime Maignan, Sabine Guinemer, Jennifer Truchot, Anne-Laure Féral-Pierssens, Youri Yordanov and 7 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02356926 (Cross Checking to Reduce Adverse Events Resulting From Medical Errors in the Emergency Department), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

NCT02356926 completednot on this map

Cross Checking to Reduce Adverse Events Resulting From Medical Errors in the Emergency Department

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2016 to 2017Enrolled1,680ConditionsEmergency Patients
3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  6. Using Video Ethnography and Stimulated Recall Interviews to Describe the Diagnostic Process in the Emergency Department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Yonathan FreundSorbonne Université, Paris, France.
Hélène GouletEmergency department, Hôpital Pitié-Salpêtrière, Assistance Publique - Hôpitaux de Paris (APHP), Paris, France.
Judith LeblancPlateforme de recherche clinique (URC-CRC-CRB), Hôpital Saint-Antoine, APHP, Paris, France.
Jérôme BokobzaEmergency department, Hôpital Cochin, APHP, Paris, France.
Patrick RaySorbonne Université, Paris, France.
Maxime MaignanEmergency department, University Grenoble Alps, Hôpital Michallon, Grenoble, France.
Sabine GuinemerEmergency department, Hôpital Avicenne, APHP, Paris, France.
Jennifer TruchotEmergency department, Hôpital Lariboisière, APHP, Paris, France.
Anne-Laure Féral-PierssensEmergency department, Hôpital Européen Georges Pompidou, APHP, Paris, France.
Youri YordanovSorbonne Université, Paris, France.
Anne-Laure PhilipponEmergency department, Hôpital Pitié-Salpêtrière, Assistance Publique - Hôpitaux de Paris (APHP), Paris, France.
Edwin RouffEmergency department, Hôpital Tenon, APHP, Paris, France.
Ben BloomEmergency department, Barts Health NHS Trust, London, England.
Marine CachanadoPlateforme de recherche clinique (URC-CRC-CRB), Hôpital Saint-Antoine, APHP, Paris, France.
Alexandra RousseauPlateforme de recherche clinique (URC-CRC-CRB), Hôpital Saint-Antoine, APHP, Paris, France.
Tabassome SimonSorbonne Université, Paris, France.
Bruno RiouSorbonne Université, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Emergency departments (ED) are environments that are at high risk for medical errors. Previous studies suggested that the proportion of medical errors may decrease when more than 1 physician is involved. Objective: To reduce the proportion of medical errors by implementing systematic cross-checking between emergency physicians. Design, Setting, and Participants: This cluster randomized crossover trial includes a random sample of 14 adult patients (age ≥18 years) per day during two 10-day period in 6 EDs (n = 1680 patients) in France. Interventions: Systematic cross-checking between emergency physicians, 3 times a day, which included a brief presentation of one physician's case to another, followed by the second physician's feedback to the first. Main Outcomes and Measures: Medical error in the ED, defined as an adverse event (either a near miss or a serious adverse event). The primary end point was identified using a 2-level error detection surveillance system, blinded to the strategy allocation. Results: Among the 1680 included patients (mean [SD] age, 57.5 [21.7] years), 144 (8.6%) had an adverse event. There were 54 adverse events among 840 patients (6.4%) in the cross-check group compared with 90 adverse events among 840 patients (10.7%) in the standard care group (relative risk reduction [RRR], 40% [95% CI, 12% to 59%]; absolute risk reduction [ARR], 4.3%; number needed to treat [NNT], 24). There was also a significant reduction rate of near misses (RRR, 47% [95% CI, 15% to 67%]; ARR, 2.7%; NNT, 37) but not of the rate of preventable serious adverse events (RRR, 29% [95% CI, -18% to 57%]; ARR, 1.2%; NNT, 83). Conclusions and Relevance: The implementation of systematic cross-checking between emergency physicians was associated with a significant reduction in adverse events, mainly driven by a reduction in near misses. Trial Registration: ClinicalTrials.gov Identifier: NCT02356926.

Indexed as

AdultAgedCross-Over StudiesEmergency Service, HospitalHumansMedical ErrorsMiddle AgedPatient Safety

Identifiers

PMID29710111
PMCPMC6145759

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.