Evidence map›Paper›PMID 39028242›Full record

ArticleThe western journal of emergency medicine2024

A Measure of the Impact on Real-Time Patient Care of Evidence-based Medicine Logs.

Jeffrey B Brown, Ajay K Varadhan, Jacob R Albers, Shreyas Kudrimoti, Estelle Cervantes, Phillip Sgobba, Dawn M Yenser, Bryan G Kane

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 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

8 authors.

Jeffrey B BrownLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.
Ajay K VaradhanLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.
Jacob R AlbersLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.
Shreyas KudrimotiLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.
Estelle CervantesLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.
Phillip SgobbaLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.
Dawn M YenserLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.
Bryan G KaneLehigh Valley Health Network, University of South Florida Morsani College of Medicine, Department of Emergency and Hospital Medicine, Allentown, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Evidence-based medicine (EBM) is a critical skill for physicians, and EBM competency has been shown to increase implementation of best medical practices, reduce medical errors, and increase patient-centered care. Like any skill, EBM must be practiced, receiving iterative feedback to improve learners' comprehension. Having residents document patient interactions in logbooks to allow for residency program review, feedback, and documentation of competency has been previously described as a best practice within emergency medicine (EM) to document practice-based learning (PBL) competency. Quantifying how residents use the information they query, locate, evaluate, and apply while providing direct patient care can measure the efficacy of EBM education and provide insight into more efficient ways of providing medical care. Methods: Practice-based learning logs were surveys created to record resident EBM activity on-shift and were placed into our residency management software program. Residents were required to submit 3-5 surveys of EBM activity performed during a 28-day rotation during which additional information was sought. This study included all PBL logs completed by EM residents from June 1, 2013-May 11, 2020. Using qualitative methodology, a codebook was created to analyze residents' free-text responses to the prompt: "Based on your research, would you have done anything differently?" The codebook was designed to generate a three-digit code conveying the effect of the researched information on the patient about whom the log was written, as well as whether the information would affect future patient care and whether these decisions were based on scientific evidence. Results: A total of 10,574 logs were included for primary analysis. In total, 1,977 (18.7%) logs indicated that the evidence acquired through research would affect future patient care. Of these, 392 (3.7%) explicitly stated that the EBM activity conducted as part of our project led to real-time changes in patient care in the ED and would change future management of patients as well. Conclusion: We present a proof of concept that PBL log activity can lead to integration of evidence-based medicine into real-time patient care. While a convenience sample, our cohort recorded evidence of both lifelong learning and application to patient care.

Indexed as

Clinical CompetenceEmergency MedicineEvidence-Based MedicineInternship and ResidencyEducation, Medical, GraduateHumansPatient CareSurveys and Questionnaires

Identifiers

PMID39028242
PMCPMC11254145

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.