Evidence map›Paper›PMID 34274685›Full record

ArticleClinical imaging2021

Increased per-patient imaging utilization in an emergency department setting during COVID-19.

Marc D Succi, Ken Chang, Thomas An, David A Rosman, Ali S Raja, Michael S Gee, Michael H Lev, Ray Liu, Sanjay Saini, James A Brink

Open access · bronzeAbstract read
In one paragraph

Article in Clinical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  8. Trends in Academic Productivity Among Radiologists During the COVID-19 Pandemic.Journal of the American College of Radiology : JACR · 2023
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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

10 authors at 2 institutions in 1 country.

Marc D SucciDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America. Electronic address: msucci@mgh.harvard.edu.
Ken ChangDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
Thomas AnDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
David A RosmanDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
Ali S RajaHarvard Medical School, Boston, MA, United States of America; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
Michael S GeeDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
Michael H LevDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
Ray LiuDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
Sanjay SainiDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
James A BrinkDepartment of Radiology, Massachusetts General Hospital, Boston, MA, United States of America; Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
Massachusetts General Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 has resulted in decreases in absolute imaging volumes, however imaging utilization on a per-patient basis has not been reported. Here we compare per-patient imaging utilization, characterized by imaging studies and work relative value units (wRVUs), in an emergency department (ED) during a COVID-19 surge to the same period in 2019.

methodsThis retrospective study included patients presenting to the ED from April 1-May 1, 2020 and 2019. Patients were stratified into three primary subgroups: all patients (n = 9580, n = 5686), patients presenting with respiratory complaints (n = 1373, n = 2193), and patients presenting without respiratory complaints (n = 8207, n = 3493). The primary outcome was imaging studies/patient and wRVU/patient. Secondary analysis was by disposition and COVID status. Comparisons were via the Wilcoxon rank-sum or Chi-squared tests.

resultsThe total patients, imaging exams, and wRVUs during the 2020 and 2019 periods were 5686 and 9580 (-41%), 6624 and 8765 (-24%), and 4988 and 7818 (-36%), respectively, and the percentage patients receiving any imaging was 67% and 51%, respectively (p < .0001). In 2020 there was a 170% relative increase in patients presenting with respiratory complaints. In 2020, patients without respiratory complaints generated 24% more wRVU/patient (p < .0001) and 33% more studies/patient (p < .0001), highlighted by 38% more CTs/patient.

conclusionWe report increased per-patient imaging utilization in an emergency department during COVID-19, particularly in patients without respiratory complaints.

Indexed as

COVID-19Emergency Service, HospitalHumansRetrospective StudiesOperationsRelative value unitRevenue

Identifiers

PMID34274685
PMCPMC8183018
OpenAlexW3167355406

What OpenQuestion holds

Textmetadata
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.