Evidence map›Paper›PMID 33608848›Full record

ArticleThe Psychiatric quarterly2021

10-Year Trends of Emergency Department Visits, Wait Time, and Length of Stay among Adults with Mental Health and Substance use Disorders in the United States.

Eunji Nam, Eunkyung Lee, Hyemee Kim

Abstract read
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In one paragraph

Article in The Psychiatric quarterly, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Eunji NamDepartment of Social Welfare, Incheon National University, 119 Academy-Ro, Yeonsu-Gu, Incheon, 22012, South Korea. enam@inu.ac.kr.ORCID 0000-0002-2967-2113
Eunkyung LeeDepartment of Health Sciences, University of Central Florida, 4364 Scorpius Street, Orlando, FL, 32816, USA.
Hyemee KimDepartment of Social Welfare, Incheon National University, 119 Academy-Ro, Yeonsu-Gu, Incheon, 22012, South Korea.
Incheon National University · KRUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined if there was a change in the number of Emergency Department (ED) visits, wait time, and length of stay among adults with mental health and substance use disorders (MHSUD) in the United States from 2006 to 2015. From the National Hospital Ambulatory Medical Care Survey, a total of 17,488 ED visits by adults with MHSUD were identified. Linear regression and negative binomial regression analyses were conducted to assess statistically significant changes in trends of ED visits, wait time, and length of stay. Results indicated that ED visits by adults with MHSUD increased by 30.6% from 2006 to 2015. Wait time of ED visits by adults with MHSUD decreased for the same time period; however, length of stay did not change. Also, there were some differences in trends of wait time and length of stay by diagnosis. Specifically, wait time of ED visits by adults with psychotic disorders did not decrease. Length of stay of ED visits by adults with anxiety disorders statistically significantly increased from 2006 to 2015. More effort is needed to improve the quality of ED care for adults with MHSUD. In such an effort, diagnoses should be taken into consideration.

Indexed as

Mental HealthSubstance-Related DisordersAdultEmergency Service, HospitalHumansLength of StayUnited StatesWaiting ListsEmergency departmentLength of stayMental healthSubstance use disorderWait time

Identifiers

PMID33608848
OpenAlexW3132239947

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.