Mental Health Triage (MHT) tools may be defined as any clinician administered scale that specifies psychiatric signs or symptoms, proposes a corresponding service response, and determines priority categories based on the level of perceived acuity. Multiple MHT tools are used across different jurisdictions and care settings. This article summarizes the literature on MHT tools, describes the available tools and the supportive evidence, evaluates the impact and clinical applications, and compares their strengths and weaknesses. This review utilized a systematic review process to identify articles examining MHT tools. Several benefits of using MHT tools are described; however, in general, the supportive evidence for their use is lacking. A modified Australasian Triage Scale has the strongest evidence base for use in emergency settings; however, further data are needed to establish improved outcomes. There is limited evidence for the use of MHT tools in ambulatory or primary care settings. No evidence was found supporting any one tool as effective in guiding service responses across the entire clinical spectrum. Future research could focus on developing and evaluating MHT tools that service all levels of illness presentation. Additionally, more robust studies are required to support the use of MHT tools in emergency settings. Finally, there is an impetus for the development and evaluation of MHT tools in ambulatory, community, and primary care settings.
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http://dx.doi.org/10.1111/inm.13073 | DOI Listing |
J Am Acad Orthop Surg
December 2024
From the Hartford Hospital's Bone and Joint Institute, Hartford, CT (Kostyun, Witmer, Lucchio, and Solomito), and the Orthopedic Associates of Hartford, Hartford, CT (Dr. Witmer).
Background: Currently, few investigations explore the connection between global mental health and recovery following total hip arthroplasty (THA). The increased utilization of patient-reported outcomes tools provides an opportunity to assess a patient's mental health without undue survey burden. The purpose of this study was to explore how mental health is associated with a patient's immediate in-hospital recovery regardless of a formally diagnosed mental illness.
View Article and Find Full Text PDFMenopause
November 2024
From the Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China.
Medicina (Kaunas)
July 2024
Mayo Hospital, Health Department, Lahore 54000, Pakistan.
Zhonghua Jie He He Hu Xi Za Zhi
June 2024
Obstructive sleep apnea (OSA) shows sex differences in the pathophysiology, epidemiology, and clinical presentation. Women have different characteristics of OSA at different life stages. Based on 26 guidelines and consensus, 121 English literatures, and 24 Chinese literatures, the Sleep Disorder Group of Chinese Thoracic Society has drafted a consensus with multidisciplinary experts to summarize the epidemiology, clinical characteristics, diagnosis, treatment, and follow-up of OSA in women at different life stages, particularly issues related to OSA during pregnancy.
View Article and Find Full Text PDFNeurology
July 2024
From the Department of Neurology (H.G., M.H.T.S., C.W., J.D., N.R., G.R.F., O.A.O.), Faculty of Medicine and University Hospital Cologne; Division of Cardiology, Pneumology, Angiology and Intensive Care (C.A., S. Baldus), Department of Internal Medicine III, University of Cologne; Department of Neurology (S. Bittner), University Medical Center Mainz; Cognitive Neuroscience (N.R., O.A.O.), Institute of Neuroscience and Medicine (INM-3), Research Center Jülich; and Institute for Diagnostic and Interventional Radiology (C.Z., C.G., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.
Background And Objectives: In light of limited intensive care capacities and a lack of accurate prognostic tools to advise caregivers and family members responsibly, this study aims to determine whether automated cerebral CT (CCT) analysis allows prognostication after out-of-hospital cardiac arrest.
Methods: In this monocentric, retrospective cohort study, a supervised machine learning classifier based on an elastic net regularized logistic regression model for gray matter alterations on nonenhanced CCT obtained after cardiac arrest was trained using 10-fold cross-validation and tested on a hold-out sample (random split 75%/25%) for outcome prediction. Following the literature, a favorable outcome was defined as a cerebral performance category of 1-2 and a poor outcome of 3-5.
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