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Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire

PURPOSE: To investigate how useful the Intermed-Self Assessment (IMSA) questionnaire and its components were for identifying which patient candidates would benefit most from case management (CM) in general practice. METHODS: The study was carried out in a group family medicine practice in Lausanne c...

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Autores principales: Cohidon, Christine, Gallay, Emilie, Wild, Pascal, Stiefel, Friedrich, Bourquin, Céline, Senn, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636696/
https://www.ncbi.nlm.nih.gov/pubmed/36333794
http://dx.doi.org/10.1186/s12875-022-01876-8
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author Cohidon, Christine
Gallay, Emilie
Wild, Pascal
Stiefel, Friedrich
Bourquin, Céline
Senn, Nicolas
author_facet Cohidon, Christine
Gallay, Emilie
Wild, Pascal
Stiefel, Friedrich
Bourquin, Céline
Senn, Nicolas
author_sort Cohidon, Christine
collection PubMed
description PURPOSE: To investigate how useful the Intermed-Self Assessment (IMSA) questionnaire and its components were for identifying which patient candidates would benefit most from case management (CM) in general practice. METHODS: The study was carried out in a group family medicine practice in Lausanne comprising seven GPs and four medical assistants, from February to April 2019. All the patients attending the practice between February and April 2019 were invited to complete the IMSA questionnaire. Additionally, their GPs were asked for their opinions on the potential benefits of each patient being assigned a case manager. Each IMSA item’s value has been assessed as a predictor of GPs’ opinions by using multivariate logistic models. A score including items retained as predictor was built. RESULTS: Three hundred and thirty one patients participated in the study (participation rate: 62%). Three items from the 20 item IMSA were sufficient to predict GPs’ opinions about whether their patients could be expected to benefit if assigned a case manager. Those items addressed the patient’s existing chronic diseases (item1), quality of life in relation to existing diseases (item 3), and their social situation (item 9). Using these three items as a score, a cut-off at 4 gave a sensitivity of 70% (ability to correctly identify patients who could benefit from a CM) and specificity of 73% (ability to correctly identify patients who should not benefit from a CM) and concerned about one patient in two. CONCLUSION: Identifying complex patients suitable for case management remains a challenge for primary care professionals. This paper describes a novel approach using a structured process of combining the results of standardized tools such as the one defined in this study, and the experience of the primary care team. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-022-01876-8.
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spelling pubmed-96366962022-11-06 Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire Cohidon, Christine Gallay, Emilie Wild, Pascal Stiefel, Friedrich Bourquin, Céline Senn, Nicolas BMC Prim Care Research PURPOSE: To investigate how useful the Intermed-Self Assessment (IMSA) questionnaire and its components were for identifying which patient candidates would benefit most from case management (CM) in general practice. METHODS: The study was carried out in a group family medicine practice in Lausanne comprising seven GPs and four medical assistants, from February to April 2019. All the patients attending the practice between February and April 2019 were invited to complete the IMSA questionnaire. Additionally, their GPs were asked for their opinions on the potential benefits of each patient being assigned a case manager. Each IMSA item’s value has been assessed as a predictor of GPs’ opinions by using multivariate logistic models. A score including items retained as predictor was built. RESULTS: Three hundred and thirty one patients participated in the study (participation rate: 62%). Three items from the 20 item IMSA were sufficient to predict GPs’ opinions about whether their patients could be expected to benefit if assigned a case manager. Those items addressed the patient’s existing chronic diseases (item1), quality of life in relation to existing diseases (item 3), and their social situation (item 9). Using these three items as a score, a cut-off at 4 gave a sensitivity of 70% (ability to correctly identify patients who could benefit from a CM) and specificity of 73% (ability to correctly identify patients who should not benefit from a CM) and concerned about one patient in two. CONCLUSION: Identifying complex patients suitable for case management remains a challenge for primary care professionals. This paper describes a novel approach using a structured process of combining the results of standardized tools such as the one defined in this study, and the experience of the primary care team. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-022-01876-8. BioMed Central 2022-11-04 /pmc/articles/PMC9636696/ /pubmed/36333794 http://dx.doi.org/10.1186/s12875-022-01876-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Cohidon, Christine
Gallay, Emilie
Wild, Pascal
Stiefel, Friedrich
Bourquin, Céline
Senn, Nicolas
Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire
title Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire
title_full Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire
title_fullStr Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire
title_full_unstemmed Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire
title_short Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire
title_sort identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the intermed self-assessment (imsa) questionnaire
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636696/
https://www.ncbi.nlm.nih.gov/pubmed/36333794
http://dx.doi.org/10.1186/s12875-022-01876-8
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