Literature DB >> 28965811

Frequent users of Mental Health Liaison Services within Emergency Departments.

Alison Beck1, Emma Sanchez-Walker2, Lauren J Evans2, Victoria Harris3, Ruth Pegler2, Sean Cross4.   

Abstract

This study aimed to use nuanced statistical methods in a large UK sample to identify and explore the factors associated with different types of frequent user of Emergency Departments (EDs) who are referred to Mental Health Liaison Services (MHLS). A retrospective 5-year longitudinal study was conducted of all attenders (n = 23,718) of four London EDs who were referred to their MHLS. Longitudinal group-based trajectory analysis of monthly MHLS referrals enabled identification of factors which may contribute to membership of the resulting groups. Analysis revealed six clusters representing distinct attendance patterns; three clusters of these were identified as frequent attender groups (occasional, intermediate, heavy) containing 1119 people (4.7%). This 4.7% of the sample accounted for 24.2% of all admissions. Factors significantly related to membership of each of these groups were: having been involuntarily detained under the Mental Health Act, a higher number of care coordinators, and a diagnosis of substance abuse. The study revealed three clusters of frequent ED users with a MHLS referral who were more likely to have certain clinical and social care needs. A small proportion of clients identified as frequent users (4.7%) were responsible for nearly a quarter of all admissions (24.2%) during this timeframe.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Emergency Department; Frequent attender; Mental Health Liaison Service

Mesh:

Year:  2017        PMID: 28965811     DOI: 10.1016/j.psychres.2017.08.006

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  2 in total

1.  Machine-Learning for Prescription Patterns: Random Forest in the Prediction of Dose and Number of Antipsychotics Prescribed to People with Schizophrenia.

Authors:  Mattia Marchi; Giacomo Galli; Gianluca Fiore; Andrew Mackinnon; Giorgio Mattei; Fabrizio Starace; Gian M Galeazzi
Journal:  Clin Psychopharmacol Neurosci       Date:  2022-08-31       Impact factor: 3.731

2.  The Checkpoint Program: Collaborative Care to Reduce the Reliance of Frequent Presenters on ED.

Authors:  Christine Baird; Yalchin Oytam; Khairunnessa Rahman; Marja Fornasari; Anita Sharma; Jinman Kim; Euijoon Ahn; Rod Hughes
Journal:  Int J Integr Care       Date:  2021-06-22       Impact factor: 5.120

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.