Evidence map›Paper›PMID 33768144›Full record

ArticleMedEdPORTAL : the journal of teaching and learning resources2021

Respiratory Auscultation Lab Using a Cardiopulmonary Auscultation Simulation Manikin.

Jennifer Kaminsky, Riccardo Bianchi, Shirley Eisner, Robin Ovitsh, Ana Maria Lopez, Leanna Smith, Nawar Talukder, Antonia Quinn

Open access · diamondAbstract read
In one paragraph

Article in MedEdPORTAL : the journal of teaching and learning resources, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 10 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

8 authors at 3 institutions in 1 country.

Jennifer KaminskyResident Physician, Department of Emergency Medicine, Staten Island University Hospital.ORCID 0000-0002-2195-3711
Riccardo BianchiAssociate Professor, Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University; Associate Dean for Foundations of Medicine, College of Medicine, State University of New York Downstate Health Sciences University.ORCID 0000-0002-1656-4455
Shirley EisnerAssociate Professor and Co-Director of Gross Anatomy, Department of Cell Biology, State University of New York Downstate Health Sciences University.
Robin OvitshAssociate Clinical Professor, Department of Pediatrics, State University of New York Downstate Health Sciences University; Associate Dean for Clinical Competencies, College of Medicine, State University of New York Downstate Health Sciences University.
Ana Maria LopezFourth-Year Medical Student, College of Medicine, State University of New York Downstate Health Sciences University.
Leanna SmithFourth-Year Medical Student, College of Medicine, State University of New York Downstate Health Sciences University.
Nawar TalukderResident Physician, Department of Internal Medicine, University of Arizona College of Medicine - Phoenix.
Antonia QuinnAssociate Clinical Professor, Department of Emergency Medicine, State University of New York Downstate Health Sciences University; Associate Director of Clinical Competencies, College of Medicine, State University of New York Downstate Health Sciences University College of Medicine.ORCID 0000-0001-8155-5814
State University of New York · USStaten Island University Hospital · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mastery of respiratory auscultation skills is fundamental for clinicians to develop. We created a case-based educational session utilizing a high-fidelity simulator to teach lung sound auscultation to medical students at our institution. We employed a hypothesis-driven approach and deliberate practice to enhance students' learning experience and retention of acquired skills. Methods: We developed the session to teach second-year medical students how to discriminate between normal and pathological respiratory sounds within the context of clinical vignettes. Faculty facilitators, in conjunction with near-peer educators, made use of a high-fidelity auscultation manikin to guide students through case-based problem sets. Students were given the opportunity to auscultate the manikin while being observed and receiving feedback from the faculty. Results: We introduced the manikin in 2016, with a total of 759 second-year medical students from four class years having participated in the session since then. Students evaluated the session through an end-of-the-week and end-of-unit survey. The survey showed an overall improvement in learner satisfaction over previous years. Survey results and feedback were used to make adjustments to the session. Discussion: Our respiratory auscultation session was well received overall. Proper faculty development is crucial for implementing the session. Because of the focus on deliberate practice, adequate time must be allotted to hold the session. This program is reproducible with similar high-fidelity simulators.

Indexed as

ManikinsStudents, MedicalAuscultationClinical CompetenceComputer SimulationHumansCase-Based LearningClinical/Procedural Skills TrainingDeliberate PracticeHigh FidelityHypothesis-Driven Physical Examination (HDPE)Laboratory EducationLung SoundsPulmonary MedicineRespiratory AuscultationSimulation

Identifiers

PMID33768144
PMCPMC7970645
OpenAlexW3134762555

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.