Cargando…

The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis

BACKGROUND: We performed a secondary exploratory cluster analysis on the data collected from the validation phase of the study leading to the development of the model care pathway (CP) for Myasthenia Gravis (MG), in which a panel of 85 international experts were asked some characteristics about them...

Descripción completa

Detalles Bibliográficos
Autores principales: Ratti, Matteo, Milicia, Osvaldo, Rescinito, Riccardo, Coeckelberghs, Ellen, Seys, Deborah, Vanhaecht, Kris, Panella, Massimiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983158/
https://www.ncbi.nlm.nih.gov/pubmed/36869326
http://dx.doi.org/10.1186/s12913-023-09139-7
_version_ 1784900485792137216
author Ratti, Matteo
Milicia, Osvaldo
Rescinito, Riccardo
Coeckelberghs, Ellen
Seys, Deborah
Vanhaecht, Kris
Panella, Massimiliano
author_facet Ratti, Matteo
Milicia, Osvaldo
Rescinito, Riccardo
Coeckelberghs, Ellen
Seys, Deborah
Vanhaecht, Kris
Panella, Massimiliano
author_sort Ratti, Matteo
collection PubMed
description BACKGROUND: We performed a secondary exploratory cluster analysis on the data collected from the validation phase of the study leading to the development of the model care pathway (CP) for Myasthenia Gravis (MG), in which a panel of 85 international experts were asked some characteristics about themselves and their opinion about the model CP. Our aim was to identify which characteristics of the experts play a role in the genesis of their opinion. METHODS: We extracted the questions probing an opinion and those describing a characteristic of the expert from the original questionnaire. We performed a multiple correspondence analysis (MCA) and a subsequent hierarchical clustering on principal component (HCPC) on the opinion variables, integrating the characteristic variables as supplementary (predicted). RESULTS: After reducing the dimensionality of the questionnaire to three dimensions we noticed that the not-appropriateness judgement of the clinical activities may overlap with the completeness one. From the HCPC it seems that the working setting of the expert may play a crucial role in determining the opinion about the setting of the sub-processes of MG: shifting from a cluster where the experts do not work in sub-specialist settings to one where the experts are working in them, the opinion changes accordingly from a mono-disciplinary setting to a multi-disciplinary one. Another interesting result is that the experience in neuromuscular diseases (NMD) measured in years and the expert typology (whether general neurologist or NMD expert) seem not to contribute significantly to the opinions. CONCLUSIONS: These findings might indicate a poor ability of the expert to discriminate what is not appropriate from what is not complete. Also, the opinion of the expert might be influenced by the working setting, but not by the experience in NMD (as measured in years). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09139-7.
format Online
Article
Text
id pubmed-9983158
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99831582023-03-04 The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis Ratti, Matteo Milicia, Osvaldo Rescinito, Riccardo Coeckelberghs, Ellen Seys, Deborah Vanhaecht, Kris Panella, Massimiliano BMC Health Serv Res Research BACKGROUND: We performed a secondary exploratory cluster analysis on the data collected from the validation phase of the study leading to the development of the model care pathway (CP) for Myasthenia Gravis (MG), in which a panel of 85 international experts were asked some characteristics about themselves and their opinion about the model CP. Our aim was to identify which characteristics of the experts play a role in the genesis of their opinion. METHODS: We extracted the questions probing an opinion and those describing a characteristic of the expert from the original questionnaire. We performed a multiple correspondence analysis (MCA) and a subsequent hierarchical clustering on principal component (HCPC) on the opinion variables, integrating the characteristic variables as supplementary (predicted). RESULTS: After reducing the dimensionality of the questionnaire to three dimensions we noticed that the not-appropriateness judgement of the clinical activities may overlap with the completeness one. From the HCPC it seems that the working setting of the expert may play a crucial role in determining the opinion about the setting of the sub-processes of MG: shifting from a cluster where the experts do not work in sub-specialist settings to one where the experts are working in them, the opinion changes accordingly from a mono-disciplinary setting to a multi-disciplinary one. Another interesting result is that the experience in neuromuscular diseases (NMD) measured in years and the expert typology (whether general neurologist or NMD expert) seem not to contribute significantly to the opinions. CONCLUSIONS: These findings might indicate a poor ability of the expert to discriminate what is not appropriate from what is not complete. Also, the opinion of the expert might be influenced by the working setting, but not by the experience in NMD (as measured in years). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09139-7. BioMed Central 2023-03-03 /pmc/articles/PMC9983158/ /pubmed/36869326 http://dx.doi.org/10.1186/s12913-023-09139-7 Text en © The Author(s) 2023 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
Ratti, Matteo
Milicia, Osvaldo
Rescinito, Riccardo
Coeckelberghs, Ellen
Seys, Deborah
Vanhaecht, Kris
Panella, Massimiliano
The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis
title The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis
title_full The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis
title_fullStr The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis
title_full_unstemmed The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis
title_short The determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis
title_sort determinants of expert opinion in the development of care pathways: insights from an exploratory cluster analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983158/
https://www.ncbi.nlm.nih.gov/pubmed/36869326
http://dx.doi.org/10.1186/s12913-023-09139-7
work_keys_str_mv AT rattimatteo thedeterminantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT miliciaosvaldo thedeterminantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT rescinitoriccardo thedeterminantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT coeckelberghsellen thedeterminantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT seysdeborah thedeterminantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT vanhaechtkris thedeterminantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT panellamassimiliano thedeterminantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT rattimatteo determinantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT miliciaosvaldo determinantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT rescinitoriccardo determinantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT coeckelberghsellen determinantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT seysdeborah determinantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT vanhaechtkris determinantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis
AT panellamassimiliano determinantsofexpertopinioninthedevelopmentofcarepathwaysinsightsfromanexploratoryclusteranalysis