Evidence map›Paper›PMID 39247026›Full record

ArticleCureus2024

National Case Volumes and Gender Disparities in Emergency Department Utilization for Psychiatric Emergencies: A Population-Based Claims Data Analysis.

Nnenna Okafor, Esther Okoro, Michael M Bojerenu, Nnaedozie Umeani, Daniel C Udegbe, Chinyere K Omeh, Chuka G Nwume, Tolulope D Alabi, Ishola A Fouhad, Victory Okpujie and 2 more

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Nnenna OkaforPsychiatry, All Saints University College of Medicine, Kingstown, VCT.
Esther OkoroPsychiatry, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, GBR.
Michael M BojerenuPsychiatry, St. Barnabas Hospital (SBH Health System), New York, USA.
Nnaedozie UmeaniPsychiatry, College of Medicine, University of Lagos, Lagos, NGA.
Daniel C UdegbePsychiatry, Godfrey Okoye University Teaching Hospital, Enugu, NGA.
Chinyere K OmehPsychiatry, 161 Nigerian Air Force Hospital, Makurdi, NGA.
Chuka G NwumeFamily Medicine, University of Port Harcourt, Port Harcourt, NGA.
Tolulope D AlabiPsychiatry, Priory Hospital, Roehampton, GBR.
Ishola A FouhadPsychiatry, College of Medicine, Lagos State University, Lagos, NGA.
Victory OkpujieInternal Medicine, Central Hospital Benin, Benin City, NGA.
Franklin A AndibanbangPsychiatry, Priory Hospital Ticehurst House, East Sussex, GBR.
Fidelis E UwumiroInternal Medicine, Southern Regional Medical Center, Riverdale, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The utilization of emergency departments (EDs) for managing psychiatric emergencies has significantly increased in the United States because of the increasing prevalence of mental health disorders. This study examined national case volumes and sex disparities in ED visits for psychiatric emergencies using data from the Nationwide Emergency Department Sample (NEDS). Methods This retrospective analysis included adult ED visits for psychiatric emergencies identified using relevant International Classification of Diseases, 10th Revision (ICD-10) codes. Primary endpoints included national case volumes by sex. Hospitalizations with age < 18 years and those with missing data on sex were excluded. Secondary endpoints included inpatient mortality, ED and inpatient costs, admission rates, discharge disposition, length of stay (LOS), and number of procedures. Results In 2021, there were approximately 143.5 million ED visits in the United States, with 7,978,490 of these being for psychiatric emergencies. The most common presentations were substance abuse and intoxication (5,119,086 (64.2%)), severe bipolar disorder (1,912,670 (24%)), and anxiety or panic attacks (1,015,486 (12.7%)). Approximately 3,997,223 (50.1%) were women, and 3,981,267 (49.9%) were men. Men were older (mean age: 45 versus 43 years; P<0.001), were more likely to be uninsured (712,647 (17.9%) versus 497,658 (12.5%); P<0.001), and had a higher Charlson Comorbidity Index (CCI) (CCI ≥ 2: 792,272 (19.9%) versus 643,552 (16.1%); P<0.001). More men than women presented to the ED with acute substance abuse or intoxication (3,196,945 (80.3%) versus 1,922,142 (48.1%)), bipolar disorder with or without psychosis (958,275 (24.1%) versus 954,395 (23.9%); P<0.001), and suicidal ideation (267,638 (6.7%) versus 208,989 (5.2%); P<0.001). More women than men presented with severe depression (455,683 (11.4%) versus 441,921 (11.1%)), anxiety and panic attacks (615,572 (15.4%) versus 402,108 (10.1%)), acute stress reaction (35,975 (0.9%) versus 23,888 (0.6%)), eating disorders (3,997 (0.1%) versus 27,869 (0.07%)), and a history of abuse (21,164 (0.53%) versus 19,569 (0.49%); P<0.001). Women had lower mortality rates (27,980 (0.7%) versus 63,956 (1.6%); P<0.001), lower mean ED costs (adjusted mean difference (AMD): $1,189; P<0.001), fewer in-hospital admissions (1,211,158 (30.3%) versus 1,453,162 (36.5%); P<0.001), and a higher number of prolonged hospitalizations (1,442,998 (36.1%) versus 1,194,380 (30%); P<0.001) compared with men. Conclusion This study highlights significant sex disparities in ED utilization for psychiatric emergencies. Men more frequently present with substance abuse and severe comorbidities, leading to higher healthcare costs and inpatient admissions. Women, while more likely to present with anxiety and depressive disorders, incur lower costs and have better overall outcomes.

Indexed as

abuseanxiety disorderbipolar disordercatatonic syndromedepressioneating disorderpanic attackspsychiatric emergenciesself-harmsuicidal ideation

Identifiers

PMID39247026
PMCPMC11380797

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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.