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Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion

OBJECTIVES: The aim of this study was to describe the profile of patients who sought a second medical opinion (SMO) on their therapeutic or diagnostic strategy using nationwide data from a French physician network dedicated to SMOs. METHODS: An observational cohort study was conducted and the study...

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Autores principales: Sanchez, Stéphane, Adamowicz, Isabelle, Chrusciel, Jan, Denormandie, Philippe, Denys, Pierre, Degos, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408960/
https://www.ncbi.nlm.nih.gov/pubmed/34470642
http://dx.doi.org/10.1186/s12913-021-06936-w
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author Sanchez, Stéphane
Adamowicz, Isabelle
Chrusciel, Jan
Denormandie, Philippe
Denys, Pierre
Degos, Laurent
author_facet Sanchez, Stéphane
Adamowicz, Isabelle
Chrusciel, Jan
Denormandie, Philippe
Denys, Pierre
Degos, Laurent
author_sort Sanchez, Stéphane
collection PubMed
description OBJECTIVES: The aim of this study was to describe the profile of patients who sought a second medical opinion (SMO) on their therapeutic or diagnostic strategy using nationwide data from a French physician network dedicated to SMOs. METHODS: An observational cohort study was conducted and the study population consisted of patients residing in France or in the French overseas territories who submitted a request for an SMO through a dedicated platform between January 2016 and October 2020. Patient characteristics were compared between convergent and divergent SMOs. The divergent rate for all patients excluding those with mental diseases were described. Logistic regression was used to estimate the probability of a divergent SMO according to patient characteristics. RESULTS AND DISCUSSION: In total, 1,552 adult patients over several French regions were included. The divergence rate was 32.3 % (n = 502 patients). Gynecological [Odds Ratio (OR) and 95 % CI: 5.176 (3.154 to 8.494)], urological [OR 4.246 (2.053 to 8.782)] and respiratory diseases [OR 3.639 (1.357 to 9.758)] had the highest probability of a divergent SMO. Complex cases were also associated with a significantly higher risk of a divergent opinion [OR 2.78 (2.16 to 3.59)]. Age, sex, region and profession were not found to be predictive of a divergent second opinion. CONCLUSIONS: Policymakers should encourage new research on patient outcomes such as mortality and hospitalization rates after a SMO. When proven effective, SMO networks will have the potential to benefit from specific public funding or even play a key role in national healthcare quality improvement programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06936-w.
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spelling pubmed-84089602021-09-01 Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion Sanchez, Stéphane Adamowicz, Isabelle Chrusciel, Jan Denormandie, Philippe Denys, Pierre Degos, Laurent BMC Health Serv Res Research OBJECTIVES: The aim of this study was to describe the profile of patients who sought a second medical opinion (SMO) on their therapeutic or diagnostic strategy using nationwide data from a French physician network dedicated to SMOs. METHODS: An observational cohort study was conducted and the study population consisted of patients residing in France or in the French overseas territories who submitted a request for an SMO through a dedicated platform between January 2016 and October 2020. Patient characteristics were compared between convergent and divergent SMOs. The divergent rate for all patients excluding those with mental diseases were described. Logistic regression was used to estimate the probability of a divergent SMO according to patient characteristics. RESULTS AND DISCUSSION: In total, 1,552 adult patients over several French regions were included. The divergence rate was 32.3 % (n = 502 patients). Gynecological [Odds Ratio (OR) and 95 % CI: 5.176 (3.154 to 8.494)], urological [OR 4.246 (2.053 to 8.782)] and respiratory diseases [OR 3.639 (1.357 to 9.758)] had the highest probability of a divergent SMO. Complex cases were also associated with a significantly higher risk of a divergent opinion [OR 2.78 (2.16 to 3.59)]. Age, sex, region and profession were not found to be predictive of a divergent second opinion. CONCLUSIONS: Policymakers should encourage new research on patient outcomes such as mortality and hospitalization rates after a SMO. When proven effective, SMO networks will have the potential to benefit from specific public funding or even play a key role in national healthcare quality improvement programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06936-w. BioMed Central 2021-09-01 /pmc/articles/PMC8408960/ /pubmed/34470642 http://dx.doi.org/10.1186/s12913-021-06936-w Text en © The Author(s) 2021 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
Sanchez, Stéphane
Adamowicz, Isabelle
Chrusciel, Jan
Denormandie, Philippe
Denys, Pierre
Degos, Laurent
Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion
title Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion
title_full Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion
title_fullStr Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion
title_full_unstemmed Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion
title_short Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion
title_sort predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408960/
https://www.ncbi.nlm.nih.gov/pubmed/34470642
http://dx.doi.org/10.1186/s12913-021-06936-w
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