Evidence map›Paper›PMID 39130855›Full record

ArticleCureus2024

Formative Assessment and Cluster Membership of Homeless Persons' Emergency Department Visits.

Gesulla Cavanaugh, Patrick Hardigan, Raymond Ownby, Stachyse Stanis, Prasanna Karur, Raina K Patel, Diti H Patel

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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Gesulla CavanaughCollege of Nursing, Nova Southeastern University, Davie, USA.
Patrick HardiganHealth Professions Division, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Raymond OwnbyPsychiatry and Behavioral Sciences, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Davie, USA.
Stachyse StanisMedicine, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Prasanna KarurMedicine, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Raina K PatelCollege of Allopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.
Diti H PatelMedicine, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Evidence is limited on whether homeless individuals who visit emergency departments (EDs) share similar clinical characteristics as individuals from private households who, upon examination, require emergency health services beyond preventative healthcare. While the literature is rich with studies on homeless persons in the ED, a comprehensive assessment of similarities and differences with other social groups is lacking. Consequently, there is a gap in knowledge as it pertains to the appropriate approaches that will further support the development of targeted healthcare and emergency health services for the homeless person. Aim The goal is to provide a framework for targeted interventions that hospitals can develop based on behavioral, health, and social characteristics and, in the process, better meet the healthcare needs of homeless patients. Methods Data were collected from the records of 85,350 patients in the National Hospital Ambulatory Medical Care Survey (NHAMCS) database who visited the ED between the years of 2013 and 2016; each patient was classified as having either a private residence, living in a nursing home, or homeless (n = 83,446, n = 1,459, and n = 925, respectively). Results Cluster analysis of the data confirmed that individuals with multiple comorbidities, as well as substance abuse or dependency, regardless of residence type, were more likely to have recurrent ED visits within 72 hours. Nominal regression analyses revealed that cluster membership generated from ED data could predict patient residence and suggest that substance abuse and depression can predict 72-hour ED visit recurrence. Conclusion Cluster analyses have the potential to reveal social health and group characteristics and can support targeted solutions respective to group individualities in the ED.

Indexed as

cluster analysisemergency room visitshomeless patientsreadmission risksubstance abuse

Identifiers

PMID39130855
PMCPMC11315444

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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.