ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2025
Technological Interventions in the Emergency Departments to Enhance Safety and Care Experiences of Mental and Behavioral Health Patients and Staff.
Article in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Who cites it
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Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In the United States, post-COVID-19, Mental and Behavioral Health (MBH) related Emergency Department (ED) visits, specifically for young adults, have increased. This article presents a review of 29 peer-reviewed articles on technological ED interventions to improve the safety and care experiences of patients with MBH conditions. The key findings indicate improved MBH identification for patients, improved access to care with telepsychiatry, enhanced communication through standardized documentation and alerts, and high acceptability of crisis management interventions. Further research needs to be conducted to enhance intervention design, acceptability, and adoption of screening, remote consultation, and crisis management interventions, and reduce staff documentation workload.
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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.