Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire.
Détails
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_CF7A160B111F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire.
Périodique
BMC primary care
ISSN
2731-4553 (Electronic)
ISSN-L
2731-4553
Statut éditorial
Publié
Date de publication
04/11/2022
Peer-reviewed
Oui
Volume
23
Numéro
1
Pages
276
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Résumé
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.
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.
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.
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.
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.
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.
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.
Mots-clé
Humans, Self-Assessment, Case Managers, Quality of Life, Family Practice, Surveys and Questionnaires, Case management, Complex patients, Family medicine, Intermed-SA tool
Pubmed
Web of science
Open Access
Oui
Création de la notice
11/10/2022 13:21
Dernière modification de la notice
23/01/2024 8:34