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CONECT-6: a case-finding tool to identify patients with complex health needs
BACKGROUND: Early identification of patients with chronic conditions and complex health needs in emergency departments (ED) would enable the provision of services better suited to their needs, such as case management. A case-finding tool would ultimately support ED teams to this end and could reduce...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891167/ https://www.ncbi.nlm.nih.gov/pubmed/33596929 http://dx.doi.org/10.1186/s12913-021-06154-4 |
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author | Hudon, Catherine Bisson, Mathieu Dubois, Marie-France Chiu, Yohann Chouinard, Maud-Christine Dubuc, Nicole Elazhary, Nicolas Sabourin, Véronique Vanasse, Alain |
author_facet | Hudon, Catherine Bisson, Mathieu Dubois, Marie-France Chiu, Yohann Chouinard, Maud-Christine Dubuc, Nicole Elazhary, Nicolas Sabourin, Véronique Vanasse, Alain |
author_sort | Hudon, Catherine |
collection | PubMed |
description | BACKGROUND: Early identification of patients with chronic conditions and complex health needs in emergency departments (ED) would enable the provision of services better suited to their needs, such as case management. A case-finding tool would ultimately support ED teams to this end and could reduce the cost of services due to avoidable ED visits and hospitalizations. The aim of this study was to develop and validate a short self-administered case-finding tool in EDs to identify patients with chronic conditions and complex health needs in an adult population. METHODS: This prospective development and initial validation study of a case-finding tool was conducted in four EDs in the province of Quebec (Canada). Adult patients with chronic conditions were approached at their third or more visit to the ED within 12 months to complete a self-administered questionnaire, which included socio-demographics, a comorbidity index, the reference standard INTERMED self-assessment, and 12 questions to develop the case-finding tool. Significant variables in bivariate analysis were included in a multivariate logistic regression analysis and a backward elimination procedure was applied. A receiver operating characteristic (ROC) curve was developed to identify the most appropriate threshold score to identify patients with complex health needs. RESULTS: Two hundred ninety patients participated in the study. The multivariate analysis yielded a six-question tool, COmplex NEeds Case-finding Tool – 6 (CONECT-6), which evaluates the following variables: low perceived health; limitations due to pain; unmet needs; high self-perceived complexity; low income; and poor social support. With a threshold of two or more positive answers, the sensitivity was 90% and specificity 66%. The positive and negative predictive values were 49 and 75% respectively. CONCLUSIONS: The case-finding process is the essential characteristic of case management effectiveness. This study presents the first case-finding tool to identify adult patients with chronic conditions and complex health needs in ED. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06154-4. |
format | Online Article Text |
id | pubmed-7891167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78911672021-02-22 CONECT-6: a case-finding tool to identify patients with complex health needs Hudon, Catherine Bisson, Mathieu Dubois, Marie-France Chiu, Yohann Chouinard, Maud-Christine Dubuc, Nicole Elazhary, Nicolas Sabourin, Véronique Vanasse, Alain BMC Health Serv Res Research Article BACKGROUND: Early identification of patients with chronic conditions and complex health needs in emergency departments (ED) would enable the provision of services better suited to their needs, such as case management. A case-finding tool would ultimately support ED teams to this end and could reduce the cost of services due to avoidable ED visits and hospitalizations. The aim of this study was to develop and validate a short self-administered case-finding tool in EDs to identify patients with chronic conditions and complex health needs in an adult population. METHODS: This prospective development and initial validation study of a case-finding tool was conducted in four EDs in the province of Quebec (Canada). Adult patients with chronic conditions were approached at their third or more visit to the ED within 12 months to complete a self-administered questionnaire, which included socio-demographics, a comorbidity index, the reference standard INTERMED self-assessment, and 12 questions to develop the case-finding tool. Significant variables in bivariate analysis were included in a multivariate logistic regression analysis and a backward elimination procedure was applied. A receiver operating characteristic (ROC) curve was developed to identify the most appropriate threshold score to identify patients with complex health needs. RESULTS: Two hundred ninety patients participated in the study. The multivariate analysis yielded a six-question tool, COmplex NEeds Case-finding Tool – 6 (CONECT-6), which evaluates the following variables: low perceived health; limitations due to pain; unmet needs; high self-perceived complexity; low income; and poor social support. With a threshold of two or more positive answers, the sensitivity was 90% and specificity 66%. The positive and negative predictive values were 49 and 75% respectively. CONCLUSIONS: The case-finding process is the essential characteristic of case management effectiveness. This study presents the first case-finding tool to identify adult patients with chronic conditions and complex health needs in ED. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06154-4. BioMed Central 2021-02-17 /pmc/articles/PMC7891167/ /pubmed/33596929 http://dx.doi.org/10.1186/s12913-021-06154-4 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Hudon, Catherine Bisson, Mathieu Dubois, Marie-France Chiu, Yohann Chouinard, Maud-Christine Dubuc, Nicole Elazhary, Nicolas Sabourin, Véronique Vanasse, Alain CONECT-6: a case-finding tool to identify patients with complex health needs |
title | CONECT-6: a case-finding tool to identify patients with complex health needs |
title_full | CONECT-6: a case-finding tool to identify patients with complex health needs |
title_fullStr | CONECT-6: a case-finding tool to identify patients with complex health needs |
title_full_unstemmed | CONECT-6: a case-finding tool to identify patients with complex health needs |
title_short | CONECT-6: a case-finding tool to identify patients with complex health needs |
title_sort | conect-6: a case-finding tool to identify patients with complex health needs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891167/ https://www.ncbi.nlm.nih.gov/pubmed/33596929 http://dx.doi.org/10.1186/s12913-021-06154-4 |
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