Evidence map›Paper›PMID 37014520›Full record

ArticleJournal of racial and ethnic health disparities2024

Racial and Ethnic Disparities in Emergency Department Wait Times for Headache.

Kaniya M Pierre Louis, Jeffrey S Harman

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Article in Journal of racial and ethnic health disparities, 2024. 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
–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

3 citing papers in PubMed.

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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

2 authors.

Kaniya M Pierre LouisFlorida State University College of Medicine, Tallahassee, FL, 32306, USA. Kmn20u@med.fsu.edu.ORCID 0000-0001-7671-389X
Jeffrey S HarmanDepartment of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, 32306, USA.ORCID 0000-0002-1125-7704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Headache is a common complaint of individuals seeking treatment in the emergency department (ED). Because pain is subjective, medical evaluation is susceptible to implicit bias that can lead to disparities in wait times. The aim of this study was to determine whether there are racial and ethnic disparities in ED wait times for headache. Our study used the 2015-2018 National Hospital Ambulatory Care Surveys (NHAMCS), a nationally representative sample of ambulatory care visits to EDs. Our sample consisted of visits made by adults for headaches, which were identified using ICD-10 diagnosis codes and NHAMCS reason for visit codes. There were 12,301,655 ED visits for headache represented by our sample. The mean wait time for headache visits was 38.1 min (95%CI: 31.1, 45.0). The mean wait time for Non-Hispanic White patients, non-Hispanic Black patients, Hispanic patients, and the other race and ethnicity groups were 34.7 min (95%CI: 27.5, 42.0), 46.4 min (95%CI: 26.5, 66.4), 37.9 min (95%CI: 19.4, 56.3), and 21.0 min (95%CI: 6.3, 35.7) respectively. After controlling for patient- and hospital-level covariates, visits by non-Hispanic Black patients had 40% (95%CI: -0.01, 0.81, p = 0.056) longer wait times and visits by Hispanic patients had 39% (95%CI: -0.03, 0.80, p = 0.068) longer wait times than visits by non-Hispanic White patients. While our findings suggest that there may be longer wait times for visits by non-Hispanic Black and Hispanic patients compared to visits by non-Hispanic White patients, further research is needed to confirm these findings and determine causes of wait times disparities in the ED.

Indexed as

EthnicityWaiting ListsAdultEmergency Service, HospitalHeadacheHealthcare DisparitiesHealth Care SurveysHumansUnited StatesDisparityEmergency Department (ED)HeadacheNational Hospital Ambulatory Care Survey (NHAMCS)Wait time(s)

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Registered trials

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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.