1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Correction to: CONECT-6: a case-finding tool to identify patients with complex health needs

      correction

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Correction to: BMC Health Serv Res 21, 157 (2021) https://doi.org/10.1186/s12913-021-06154-4 Following publication of the original article [1], the authors would like to make some changes. 1. The percentage of participants in the Results under the Abstract section needs to be corrected. The sentence currently reads: The positive and negative predictive values were 49 and 75% respectively. The sentence should read: The positive and negative predictive values were 49 and 95% respectively. 2. The AUC has disappeared from Figure 2 (ROC curve) due to a typesetting mistake. The correct Figure 2 is shown below: Fig. 2 ROC curve with 95 pct confidence interval 3. There are currently two affiliations associated to Catherine Hudon, which are actually a duplicate (with a minor difference in the address). The author affiliation 2 needs to be removed, so that the correct authors affiliations are presented as below: Catherine Hudon1*, Mathieu Bisson1, Marie-France Dubois1, Yohann Chiu1, Maud-Christine Chouinard2, Nicole Dubuc1, Nicolas Elazhary1, Véronique Sabourin3, Alain Vanasse1 1. Department of Family Medicine and Emergency Medicine, University of Sherbrooke, 3001 12e Avenue N, Sherbrooke, QC, Canada, J1H 5H3. 2. Nursing Faculty, University of Montreal, Pavillon Marguerite-d'Youville, C.P. 6128 succ. Centre-ville, Montréal, QC, Canada, H3C 3J7. 3. Integrated University Health and Social Services Centre of Saguenay–Lac-Saint-Jean, 225 rue Saint-Vallier, Chicoutimi, Quebec, G7H 5H6 The original article has been corrected.

          Related collections

          Most cited references1

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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 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.
            Bookmark

            Author and article information

            Contributors
            Catherine.Hudon@usherbrooke.ca
            Journal
            BMC Health Serv Res
            BMC Health Serv Res
            BMC Health Services Research
            BioMed Central (London )
            1472-6963
            9 April 2021
            9 April 2021
            2021
            : 21
            : 321
            Affiliations
            [1 ]GRID grid.86715.3d, ISNI 0000 0000 9064 6198, Department of Family Medicine and Emergency Medicine, , University of Sherbrooke, ; 3001 12e Avenue N, Sherbrooke, QC J1H 5H3 Canada
            [2 ]GRID grid.14848.31, ISNI 0000 0001 2292 3357, Nursing Faculty, , University of Montreal, Pavillon Marguerite-d’Youville, ; C.P. 6128 succ. Centre-ville, Montréal, QC H3C 3J7 Canada
            [3 ]Integrated University Health and Social Services Centre of Saguenay–Lac-Saint-Jean, 930 rue Jacques-Cartier E, Chicoutimi, QC G7H 7K9 Canada
            Article
            6216
            10.1186/s12913-021-06216-7
            8034114
            33836732
            ba5992cd-9229-4114-97c4-276f6e45e29c
            © 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.

            History
            Categories
            Correction
            Custom metadata
            © The Author(s) 2021

            Health & Social care
            Health & Social care

            Comments

            Comment on this article