ArticleJournal of urban health : bulletin of the New York Academy of Medicine2024
Strategies to Reduce Frequent Emergency Department Use among Persons Experiencing Homelessness with Mental Health Conditions: a Scoping Review.
Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Health Care Service Use Outcomes of a Community Mental Health Program for Frequent Emergency Department Users.Administration and policy in mental health · 2026Article
- Personal Health Goals in Homeless-Experienced Veterans: Rates, Patterns, and Associations With Health-Related Needs.Medical care · 2026Article
- No Place to Rest: Housing Instability and Pain Experiences in the Emergency Department.Journal of emergency nursing · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The USA has some of the highest utilization rates of the Emergency Department (ED) worldwide, leading to increased healthcare costs, constrained resources, and fragmented care. Many of the highest ED utilizers are persons experiencing homelessness (PEH) and those with mental health conditions, with even higher use by those with comorbid social challenges. This study reviewed the literature assessing interventional approaches in the ED to minimize the burden of ED utilization by PEH with associated mental health conditions. We first conducted an informal literature review of high ED utilizers and their most common presenting symptoms. We then conducted a scoping review of articles according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines; we used PubMed and Web of Science databases as well as Google Scholar. We screened the titles and abstracts of studies that evaluated programs that aimed to reduce ED usage by patients with mental illness who were also experiencing homelessness. Of the 1574 titles and abstracts screened, 49 full texts were examined for eligibility. Of those, 35 articles were excluded for a final count of 14 included studies. We found that the studies fell under two main interventional categories: housing support and care management. There were various approaches to reduce ED visits from PEH with mental illness around the world. Overall, these studies found varying degrees of success in reducing ED visits for both housing intervention and care management strategies. Comparison of these studies reveals that the success of related strategies like housing support often have different outcomes which can be attributed to the differences between the populations studied, previously available community resources, and other psychosocial factors affecting study participants. Overall, the most successful studies found that a tailored approach that addresses the unique needs of participants had the greatest impact on reducing ED visits and hospitalizations. Further research is needed to determine the best strategies for specific populations and how to promote health equity among PEH with associated mental health conditions.
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Registered trials
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.