Background: The nurse's ability to accurately identify urgent conditions and triage this vulnerable population tends to be complex and challenging. Little is known about the reliability and validity of common triage tools in geriatric patients.
Aim: To determine the reliability and validity of triage tools in geriatric emergency care and summarize the specific content of current triage tools for geriatric patients.
Methods: The eligible literature was searched from the MEDLINE, CINAHL, EMBASE, and Cochrane Database using targeted search strategies. We defined the objectives and questions, set standards for article inclusion criteria, and conducted literature searching and screening. The mixed methods assessment tool (MMAT) appraised the article's quality. Finally, we extracted and analyzed the data from the included articles, summarizing the results. Endnote X9 was used for data extraction and collation.
Results: Nine articles were eligible. These included six triage tools: CTAS, JTAS, KTAS, MTS, SETS, and ESI. The reliability of the CTAS was good when applied to triage geriatric patients. The SETS performed well in prehospital simulated triage. The ESI has moderate to excellent reliability. The CTAS has good to excellent validity, while the JTAS, KTAS, MTS, and ESI have fair to good results.
Conclusion: Several triage tools are useful in geriatrics, but the reliability and validity of these tools have mixed results. Applying triage tools to triage geriatric patients still has limitations.
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http://dx.doi.org/10.1016/j.ienj.2024.101509 | DOI Listing |
Health Informatics J
January 2025
Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia.
The HIV epidemic in Indonesia is one of the fastest growing in Southeast Asia and is characterised by a number of geographic and sociocultural challenges. Can large language models (LLMs) be integrated with telehealth (TH) to address cost and quality of care? A literature review was performed using the PRISMA-ScR (2018) guidelines between Jan 2017 and June 2024 using the PubMed, ArXiv and semantic scholar databases. Of the 694 records identified, 12 studies met the inclusion criteria.
View Article and Find Full Text PDFBMC Nurs
January 2025
Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Background: Telehealth services are becoming increasingly popular at primary healthcare centres. Some examples include text-based digital triage and health guidance using chats, emails, images and pre-filled forms. Telephone-based communication has until recent years been the predominant means for triage and health guidance, but now includes written communication via computer or smartphone.
View Article and Find Full Text PDFBMJ Open
December 2024
School of Nutrition, Federal University of Bahia, Salvador, Brazil.
Eur J Radiol
January 2025
School of Biomedical Engineering & Imaging Sciences, King's College London, London, the United Kingdom of Great Britain and Northern Ireland; Department of Neuroradiology, King's College Hospital National Health Service Foundation Trust, London, the United Kingdom of Great Britain and Northern Ireland. Electronic address:
Artificial intelligence (AI) tools can triage radiology scans to streamline the patient pathway and also relieve clinician workload. Validated AI tools can mitigate the delays in reporting scans by flagging time-sensitive and actionable findings. In this study, we aim to investigate current stakeholder perspectives and identify obstacles to integrating AI in clinical pathways.
View Article and Find Full Text PDFJ Adv Pract Oncol
September 2024
From Aspen University, Phoenix, Arizona.
Cancer treatments induce multiple unwanted side effects that often go unrelieved, resulting in emergency room (ER) visits. Oncology clinics have established triage clinics (TCs) for symptom management, thereby improving access to care and decreasing ER utilization. In addition, evidence proves that validated patient-reported outcome (PRO) tools support improved symptom management and decreased ER visits.
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