Evidence map›Paper›PMID 35612855›Full record

ArticleJAMA network open2022

Trends and Variations in Emergency Department Use Associated With Diabetes in the US by Sociodemographic Factors, 2008-2017.

Tegveer S Uppal, Puneet Kaur Chehal, Gail Fernandes, J Sonya Haw, Megha Shah, Sara Turbow, Swapnil Rajpathak, K M Venkat Narayan, Mohammed K Ali

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Article
  3. Mapping the storm: a scoping review of diabetic emergencies in Africa.Frontiers in clinical diabetes and healthcare · 2026
    Review
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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  15. Healthcare Impacts Associated with Federally Declared Disasters-Hurricanes Gustave and Ike.International journal of environmental research and public health · 2023
    Article
  16. Article
  17. Article
  18. Review
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

9 authors at 2 institutions in 1 country.

Tegveer S UppalHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Puneet Kaur ChehalDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Gail FernandesMerck & Co Inc, Kenilworth, New Jersey.
J Sonya HawDivision of Endocrinology and Metabolism, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia.
Megha ShahDepartment of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia.
Sara TurbowDepartment of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia.
Swapnil RajpathakMerck & Co Inc, Kenilworth, New Jersey.
K M Venkat NarayanHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Mohammed K AliHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Emory University · USMerck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Little is known about emergency department (ED) use among people with diabetes and whether the pattern of ED use varies across geographic areas and population subgroups. Objective: To estimate recent national- and state-level trends in diabetes-related ED use overall and by race and ethnicity, rural or urban location, and insurance status. Design, Setting, and Participants: This cross-sectional study of adults visiting the ED with a diabetes-related diagnosis used serial data from the Nationwide Emergency Department Sample, a nationally representative database, and discharge records from 11 state emergency department databases for 2008, 2011, 2014, and 2016 to 2017. Data were analyzed from March 16 to November 9, 2020. Exposures: Reported race and ethnicity, rural or urban location, and insurance status. Data were stratified to generate state-specific estimates. Main Outcomes and Measures: Rates of ED use for all-cause visits among adults with diabetes (all-cause diabetes visits) and visits with primary diagnoses of diabetes-specific complications. Results: A larger portion of all-cause diabetes ED visits (n = 32 433 015) were by female (56.8%) and middle-aged (mean [SD] age, 58.4 [16.3] years) adults with diabetes. Nationally, all-cause diabetes ED visits per 10 000 adults increased 55.6% (95% CI, 50.6%-60.6%), from 257.6 (95% CI, 249.9-265.3) visits in 2008 to 400.8 (95% CI, 387.6-414.0) visits in 2017. All-cause diabetes ED visits increased more for urban (58.3%; 95% CI, 52.5%-64.1%) and uninsured subgroups (75.3% [95% CI, 59.8%-90.8%]) than for their counterparts. Diabetes-specific ED visits (weighted number of 1 911 795) nationally increased slightly among all subgroups. State-specific ED use rates show wide state-to-state variations in ED use by race and ethnicity, rural or urban location, and insurance. On average across states, diabetes-specific ED use among Black patients was approximately 3 times (rate ratio, 3.09 [95% CI, 2.91-3.30]) greater than among non-Hispanic White patients, and among Hispanic patients, it was 29% greater (rate ratio, 1.29 [95% CI, 1.19-1.40]) than among non-Hispanic White patients. The mean rate of ED use among rural patients was 34% greater (rate ratio, 1.34 [95% CI, 1.26-1.44]) than among urban patients. The mean rates of ED use among patients with Medicaid (rate ratio, 6.65 [95% CI, 6.49-6.82]) and Medicare (rate ratio, 4.37 [95% CI, 4.23-4.51]) were greater than among privately insured adults. Conclusions and Relevance: This study suggests that disparities in diabetes-related ED use associated with race and ethnicity, rural or urban location, and insurance status were persistent from 2008 to 2017 within and across states, as well as nationally. Further geographic and demographic-specific analyses are needed to understand the sources of inequity.

Indexed as

Diabetes MellitusMedicareAdultAgedCross-Sectional StudiesEmergency Service, HospitalFemaleHumansMiddle AgedSociodemographic FactorsUnited States

Identifiers

PMID35612855
PMCPMC9133946
OpenAlexW4281553503

What OpenQuestion holds

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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.