Evidence map›Paper›PMID 36457602›Full record

ArticleCureus2022

The Impact of COVID-19 on Emergency Medicine Rotations.

Robert M Tennill, Matt Turner, Aaron Fleming, Carly Hofreiter, Sharon Kim, Kristin Delfino, Richard Austin

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

7 authors at 2 institutions in 1 country.

Robert M TennillDepartment of Emergency Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Matt TurnerDepartment of Emergency Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Aaron FlemingDepartment of Emergency Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Carly HofreiterDepartment of Emergency Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Sharon KimDepartment of Emergency Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Kristin DelfinoDepartment of Center for Clinical Research, Southern Illinois University School of Medicine, Springfield, USA.
Richard AustinDepartment of Emergency Medicine, Southern Illinois University School of Medicine, Springfield, USA.
Southern Illinois University School of Medicine · USCenter for Clinical Research (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The impact of modifications in curriculum and clinical rotations made secondary to the COVID-19 pandemic on medical education has yet to be fully investigated. We observed differences in the types of patients seen by medical students that may have resulted from clinical disruptions due to the COVID-19 pandemic. We then evaluated what impact these disruptions had on the students' clinical competency. Methods We obtained patient logbooks of third-year medical students (M3) and fourth-year sub-interns (M4) from the first three emergency medicine (EM) rotation blocks of the 2019-2020 (Y19) and 2020-2021 (Y20) academic years. We then reviewed and categorized the chief complaints seen and procedures in which they participated. A robust t-test was used to detect differences in chief complaints and procedures. Finally, we looked for objective differences using the chi-square test in clinical performance between the class of 2021 (Class21) and the class of 2022 (Class22), as assessed by performance on our institution's clinical competency examination. Results Overall, students saw a 25.3% decrease in average number of patient encounters. Statistically significant decreased average numbers of infectious (-28.3%, p=0.013); musculoskeletal (-22.2%, p=0.018); gastrointestinal (GI) (-24.6%, p<0.01); genitourinary (GU) (-33.2%, p<0.01); head, eyes, ears, nose, throat (HEENT) (-31.1%, p<0.01); trauma (-33.0%, p<0.01); and respiratory (-45.4%, p<0.001) complaints were observed. Both M3s and M4s encountered significantly less GU (-25.6%, p=0.048; -41.7%, p=0.016) and trauma (-29.1%, p=0.023; -33.2%, p=0.032) complaints in Y20. M4s saw significantly less GI complaints (-42.6%, p<0.001) in Y20, whereas M3s encountered significantly less psychiatric and HEENT complaints (-30.3%, p=0.046; -34.6%, p=0.013). Both classes saw significantly less respiratory complaints in Y20 but more so for M4s (-65.3%, p<0.001) than for M3s (-27.9%, p=0.033). There were no significant differences in average number of procedures between years. We did not observe any differences in overall clinical performance between the two selected classes. While class of 2021 scored a significantly higher average on a case of fatigue (p=0.0004) and class of 2022 on a case of abdominal pain (p<0.0001), there were no significant differences in the primary chief complaints that would be attributed to COVID-19, such as dyspnea. Conclusion Modifications made to curricula and clinical rotations due to the COVID-19 pandemic led to students encountering less patients overall, with significant decreases in multiple chief complaint types compared to Y19 but no significant change in procedure numbers. Notably, there was no major impact seen on clinical competency providing a positive argument for considering innovative teaching and learning methods.

Indexed as

clinical competencycovid-19 pandemiccovid-19 retroemergency medicine rotationmedical education

Identifiers

PMID36457602
PMCPMC9705062
OpenAlexW4307631032

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.