Evidence map›Paper›PMID 37349643›Full record

ArticleEmergency radiology2023

Time ratio disparities among ED patients undergoing head CT.

Farid Hajibonabi, Marta Taye, Angela Ubanwa, Jean Sebastien Rowe, Camara Sharperson, Tarek N Hanna, Jamlik-Omari Johnson

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Article in Emergency radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Farid HajibonabiDepartment of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road, Atlanta, GA, 30322, USA. farid.hajibonabi@emory.edu.ORCID http://orcid.org/0000-0002-3627-1916
Marta TayeDepartment of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road, Atlanta, GA, 30322, USA.
Angela UbanwaDepartment of Radiology, University of Pittsburgh Medical Center, 200 Lothrop Street Pittsburgh, Pittsburgh, PA, 15213, USA.
Jean Sebastien RoweDepartment of Radiology, Cooper University Hospital, 1 Cooper Plaza, Camden, NJ, 08103, USA.
Camara SharpersonDepartment of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road, Atlanta, GA, 30322, USA.
Tarek N HannaDepartment of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road, Atlanta, GA, 30322, USA.
Jamlik-Omari JohnsonDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess if patients who underwent head computed tomography (CT) experienced disparities in the emergency department (ED) and if the indication for head CT affected disparities.

methodsThis study employed a retrospective, IRB-approved cohort design encompassing four hospitals. All ED patients between January 2016 and September 2020 who underwent non-contrast head CTs were included. Furthermore, key time intervals including ED length of stay (LOS), ED assessment time, image acquisition time, and image interpretation time were calculated. Time ratio (TR) was used to compare these time intervals between the groups.

resultsA total of 45,177 ED visits comprising 4730 trauma cases, 5475 altered mental status cases, 11,925 cases with head pain, and 23,047 cases with other indications were included. Females had significantly longer ED LOS, ED assessment time, and image acquisition time (TR = 1.012, 1.051, 1.018, respectively, P-value < 0.05). This disparity was more pronounced in female patients with head pain complaints compared to their male counterparts (TR = 1.036, 1.059, and 1.047, respectively, P-value < 0.05). Black patients experienced significantly longer ED LOS, image acquisition time, and image assessment time (TR = 1.226, 1.349, and 1.190, respectively, P-value < 0.05). These disparities persisted regardless of head CT indications. Furthermore, patients with Medicare/Medicaid insurance also faced longer wait times in all the time intervals (TR > 1, P-value < 0.001).

conclusionsWait times for ED head CT completion were longer for Black patients and Medicaid/Medicare insurance holders. Additionally, females experienced extended wait times, particularly when presented with head pain complaints. Our findings underscore the importance of exploring and addressing the contributing factors to ensure equitable and timely access to imaging services in the ED.

Indexed as

Emergency Service, HospitalMedicareAgedFemaleHeadacheHumansLength of StayMaleRetrospective StudiesTomography, X-Ray ComputedUnited StatesDisparitiesEmergency radiologyHead CTWaiting time

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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.