Literature DB >> 22813618

Prospective validation of a predictive model that identifies homeless people at risk of re-presentation to the emergency department.

Gaye Moore1, Graham Hepworth, Tracey Weiland, Elizabeth Manias, Marie Frances Gerdtz, Margaret Kelaher, David Dunt.   

Abstract

OBJECTIVE: To prospectively evaluate the accuracy of a predictive model to identify homeless people at risk of representation to an emergency department.
METHODS: A prospective cohort analysis utilised one month of data from a Principal Referral Hospital in Melbourne, Australia. All visits involving people classified as homeless were included, excluding those who died. Homelessness was defined as living on the streets, in crisis accommodation, in boarding houses or residing in unstable housing. Rates of re-presentation, defined as the total number of visits to the same emergency department within 28 days of discharge from hospital, were measured. Performance of the risk screening tool was assessed by calculating sensitivity, specificity, positive and negative predictive values and likelihood ratios.
RESULTS: Over the study period (April 1, 2009 to April 30, 2009), 3298 presentations from 2888 individuals were recorded. The homeless population accounted for 10% (n=327) of all visits and 7% (n=211) of all patients. A total of 90 (43%) homeless people re-presented to the emergency department. The predictive model included nine variables and achieved 98% (CI, 0.92-0.99) sensitivity and 66% (CI, 0.57-0.74) specificity. The positive predictive value was 68% and the negative predictive value was 98%. The positive likelihood ratio 2.9 (CI, 2.2-3.7) and the negative likelihood ratio was 0.03 (CI, 0.01-0.13).
CONCLUSION: The high emergency department re-presentation rate for people who were homeless identifies unresolved psychosocial health needs. The emergency department remains a vital access point for homeless people, particularly after hours. The risk screening tool is key to identify medical and social aspects of a homeless patient's presentation to assist early identification and referral. Copyright Â
© 2012 College of Emergency Nursing Australasia Ltd. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22813618     DOI: 10.1016/j.aenj.2011.12.004

Source DB:  PubMed          Journal:  Australas Emerg Nurs J        ISSN: 1574-6267


  5 in total

1.  Development of Screening Tools to Predict Medication-Related Problems Across the Continuum of Emergency Department Care: A Prospective, Multicenter Study.

Authors:  Simone E Taylor; Elise A Mitri; Andrew M Harding; David McD Taylor; Adrian Weeks; Leonie Abbott; Pani Lambros; Dona Lawrence; Dana Strumpman; Reyhan Senturk-Raif; Stephen Louey; Hamish Crisp; Emily Tomlinson; Elizabeth Manias
Journal:  Front Pharmacol       Date:  2022-07-06       Impact factor: 5.988

Review 2.  Screening tools to identify patients with complex health needs at risk of high use of health care services: A scoping review.

Authors:  Valérie Marcoux; Maud-Christine Chouinard; Fatoumata Diadiou; Isabelle Dufour; Catherine Hudon
Journal:  PLoS One       Date:  2017-11-30       Impact factor: 3.240

Review 3.  Homelessness and the use of Emergency Department as a source of healthcare: a systematic review.

Authors:  Neha Vohra; Vibhu Paudyal; Malcolm J Price
Journal:  Int J Emerg Med       Date:  2022-07-28

Review 4.  Patient complexity assessment tools containing inquiry domains important for Indigenous patient care: A scoping review.

Authors:  Anika Sehgal; Cheryl Barnabe; Lynden Lindsay Crowshoe
Journal:  PLoS One       Date:  2022-08-31       Impact factor: 3.752

5.  Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges.

Authors:  Ruben Amarasingham; Anne-Marie J Audet; David W Bates; I Glenn Cohen; Martin Entwistle; G J Escobar; Vincent Liu; Lynn Etheredge; Bernard Lo; Lucila Ohno-Machado; Sudha Ram; Suchi Saria; Lisa M Schilling; Anand Shahi; Walter F Stewart; Ewout W Steyerberg; Bin Xie
Journal:  EGEMS (Wash DC)       Date:  2016-03-07
  5 in total

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