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Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes

BACKGROUND: Multimorbidity can be defined as the co-occurrence of two or more chronic medical conditions in one person. Within the diagnostic process, accurately detecting a multimorbid disease pattern still poses a major challenge for most physicians, and is known as a source of diagnostic uncertai...

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Autores principales: Hausmann, Daniel, Kiesel, Vera, Zimmerli, Lukas, Schlatter, Narcisa, von Gunten, Amandine, Wattinger, Nadine, Rosemann, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457556/
https://www.ncbi.nlm.nih.gov/pubmed/30970008
http://dx.doi.org/10.1371/journal.pone.0215049
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author Hausmann, Daniel
Kiesel, Vera
Zimmerli, Lukas
Schlatter, Narcisa
von Gunten, Amandine
Wattinger, Nadine
Rosemann, Thomas
author_facet Hausmann, Daniel
Kiesel, Vera
Zimmerli, Lukas
Schlatter, Narcisa
von Gunten, Amandine
Wattinger, Nadine
Rosemann, Thomas
author_sort Hausmann, Daniel
collection PubMed
description BACKGROUND: Multimorbidity can be defined as the co-occurrence of two or more chronic medical conditions in one person. Within the diagnostic process, accurately detecting a multimorbid disease pattern still poses a major challenge for most physicians, and is known as a source of diagnostic uncertainty. OBJECTIVE: We investigated, how sensitive, confident, and accurate physicians are in diagnosing multimorbid versus monomorbid patients. METHODS: We created eight video case-based vignettes, which differed in type of morbidity (multimorbid versus monomorbid), field of medical specialization (somatic versus mental), and relatedness of underlying diseases (causally related versus unrelated). In total, 74 physicians (GPs, residents in an emergency department and psychiatrists) watched three to five randomly allocated video cases and had to generate suspected diagnoses at the end of each of three video sequences. Additionally, participating physicians rated subjective confidence for all mentioned diagnoses and for three sequences per case with the help of confidence profiles. RESULTS: Altogether, physicians made a large number of accurate diagnoses (69%). Nevertheless, the overall number of underdiagnosed multimorbid cases (misses) was significantly higher (71%) than over-diagnosed monomorbid cases (false alarms) (7%). DISCUSSION: According to Signal Detection Theory, GPs and psychiatrists both showed lower detection performance for medical cases that lay beyond their own field of specialization. Remarkably, residents show the highest sensitivity for multimorbid cases with an approximately identically detection performance d' slightly over 1 for both field of medical specialization (somatic and mental). Furthermore, higher uncertainty in diagnosing multimorbid cases is related to lower confidence especially at the beginning of a diagnostic process, as well as to unrelated and therefore probably rare disease pattern. Several limitations of the study and the video case-based vignettes are described within the discussion section. CONCLUSIONS: Physicians have to be sensitized for multimorbidity even more, and have to be taught in the prevalence of existing disease combinations. Communicating uncertainty with other specialists could be helpful when faced with a sometimes “fuzzy” pattern of symptoms.
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spelling pubmed-64575562019-05-03 Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes Hausmann, Daniel Kiesel, Vera Zimmerli, Lukas Schlatter, Narcisa von Gunten, Amandine Wattinger, Nadine Rosemann, Thomas PLoS One Research Article BACKGROUND: Multimorbidity can be defined as the co-occurrence of two or more chronic medical conditions in one person. Within the diagnostic process, accurately detecting a multimorbid disease pattern still poses a major challenge for most physicians, and is known as a source of diagnostic uncertainty. OBJECTIVE: We investigated, how sensitive, confident, and accurate physicians are in diagnosing multimorbid versus monomorbid patients. METHODS: We created eight video case-based vignettes, which differed in type of morbidity (multimorbid versus monomorbid), field of medical specialization (somatic versus mental), and relatedness of underlying diseases (causally related versus unrelated). In total, 74 physicians (GPs, residents in an emergency department and psychiatrists) watched three to five randomly allocated video cases and had to generate suspected diagnoses at the end of each of three video sequences. Additionally, participating physicians rated subjective confidence for all mentioned diagnoses and for three sequences per case with the help of confidence profiles. RESULTS: Altogether, physicians made a large number of accurate diagnoses (69%). Nevertheless, the overall number of underdiagnosed multimorbid cases (misses) was significantly higher (71%) than over-diagnosed monomorbid cases (false alarms) (7%). DISCUSSION: According to Signal Detection Theory, GPs and psychiatrists both showed lower detection performance for medical cases that lay beyond their own field of specialization. Remarkably, residents show the highest sensitivity for multimorbid cases with an approximately identically detection performance d' slightly over 1 for both field of medical specialization (somatic and mental). Furthermore, higher uncertainty in diagnosing multimorbid cases is related to lower confidence especially at the beginning of a diagnostic process, as well as to unrelated and therefore probably rare disease pattern. Several limitations of the study and the video case-based vignettes are described within the discussion section. CONCLUSIONS: Physicians have to be sensitized for multimorbidity even more, and have to be taught in the prevalence of existing disease combinations. Communicating uncertainty with other specialists could be helpful when faced with a sometimes “fuzzy” pattern of symptoms. Public Library of Science 2019-04-10 /pmc/articles/PMC6457556/ /pubmed/30970008 http://dx.doi.org/10.1371/journal.pone.0215049 Text en © 2019 Hausmann et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hausmann, Daniel
Kiesel, Vera
Zimmerli, Lukas
Schlatter, Narcisa
von Gunten, Amandine
Wattinger, Nadine
Rosemann, Thomas
Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes
title Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes
title_full Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes
title_fullStr Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes
title_full_unstemmed Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes
title_short Sensitivity for multimorbidity: The role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes
title_sort sensitivity for multimorbidity: the role of diagnostic uncertainty of physicians when evaluating multimorbid video case-based vignettes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457556/
https://www.ncbi.nlm.nih.gov/pubmed/30970008
http://dx.doi.org/10.1371/journal.pone.0215049
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