Evidence map›Paper›PMID 38476633›Full record

ArticleAdvances in medical education and practice2024

The Experience of Medical Scribing: No Disparities Identified.

Benjamin H Levi, Ndifreke Ekpa, Andrea Lin, Candis Watts Smith, Rebecca L Volpe

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Benjamin H LeviDepartment of Humanities, Penn State College of Medicine, Hershey, PA, USA.
Ndifreke EkpaUniversity of Houston, HCA Houston Healthcare Kingwood, Houston, TX, USA.
Andrea LinPenn State College of Medicine, Hershey, PA, USA.
Candis Watts SmithDepartment of Political Science, Duke University, Durham, NC, USA.
Rebecca L VolpeDepartment of Humanities, Penn State College of Medicine, Hershey, PA, USA.ORCID 0000-0003-3406-9498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The chronic failure to significantly increase the number of underrepresented minorities (URM) in medicine requires that we look for new mechanisms for channelling URM students through pre-medical education and into medical school. One potential mechanism is medical scribing, which involves a person helping a physician engage in real-time documentation in the electronic medical record. Methods: As a precursor to evaluating this mechanism, this survey pilot study explored individuals' experiences working as a medical scribe to look for any differences related to URM status. Of 248 scribes, 159 (64% response rate) completed an online survey. The survey was comprised of 11 items: demographics (4 items), role and length of time spent as a scribe (2 items), and experience working as a scribe (5 items). Results: The vast majority (>80%) of participants reported that working as a medical scribe gave them useful insight into being a clinician, provided valuable mentoring, and reinforced their commitment to pursue a career in medicine. The experiences reported by scribes who identified as URM did not differ from those reported by their majority counterparts. Discussion: It remains to be seen whether medical scribing can serve as an effective pipeline for URM individuals to matriculate into medical school. But the present findings suggest that the experience of working as a medical scribe is a positive one for URM.

Indexed as

medical schoolmedical scribingpipelineunder-represented minoritiesURMM

Identifiers

PMID38476633
PMCPMC10929157

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.