Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.

<h4>Background</h4>The inherent complexity of statistical methods and clinical phenomena compel researchers with diverse domains of expertise to work in interdisciplinary teams, where none of them have a complete knowledge in their counterpart's field. As a result, knowledge exchang...

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Autores principales:	Guilherme Roberto Zammar, Jatin Shah, Ana Paula Bonilauri Ferreira, Luciana Cofiel, Kenneth W Lyles, Ricardo Pietrobon
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cfc45570d7ed47ad80c86ed2ae2a96ef
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spelling	oai:doaj.org-article:cfc45570d7ed47ad80c86ed2ae2a96ef2021-11-25T06:25:34ZQualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.1932-620310.1371/journal.pone.0009400https://doaj.org/article/cfc45570d7ed47ad80c86ed2ae2a96ef2010-02-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20195374/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The inherent complexity of statistical methods and clinical phenomena compel researchers with diverse domains of expertise to work in interdisciplinary teams, where none of them have a complete knowledge in their counterpart's field. As a result, knowledge exchange may often be characterized by miscommunication leading to misinterpretation, ultimately resulting in errors in research and even clinical practice. Though communication has a central role in interdisciplinary collaboration and since miscommunication can have a negative impact on research processes, to the best of our knowledge, no study has yet explored how data analysis specialists and clinical researchers communicate over time.<h4>Methods/principal findings</h4>We conducted qualitative analysis of encounters between clinical researchers and data analysis specialists (epidemiologist, clinical epidemiologist, and data mining specialist). These encounters were recorded and systematically analyzed using a grounded theory methodology for extraction of emerging themes, followed by data triangulation and analysis of negative cases for validation. A policy analysis was then performed using a system dynamics methodology looking for potential interventions to improve this process. Four major emerging themes were found. Definitions using lay language were frequently employed as a way to bridge the language gap between the specialties. Thought experiments presented a series of "what if" situations that helped clarify how the method or information from the other field would behave, if exposed to alternative situations, ultimately aiding in explaining their main objective. Metaphors and analogies were used to translate concepts across fields, from the unfamiliar to the familiar. Prolepsis was used to anticipate study outcomes, thus helping specialists understand the current context based on an understanding of their final goal.<h4>Conclusion/significance</h4>The communication between clinical researchers and data analysis specialists presents multiple challenges that can lead to errors.Guilherme Roberto ZammarJatin ShahAna Paula Bonilauri FerreiraLuciana CofielKenneth W LylesRicardo PietrobonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 2, p e9400 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Guilherme Roberto Zammar Jatin Shah Ana Paula Bonilauri Ferreira Luciana Cofiel Kenneth W Lyles Ricardo Pietrobon Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.
description	<h4>Background</h4>The inherent complexity of statistical methods and clinical phenomena compel researchers with diverse domains of expertise to work in interdisciplinary teams, where none of them have a complete knowledge in their counterpart's field. As a result, knowledge exchange may often be characterized by miscommunication leading to misinterpretation, ultimately resulting in errors in research and even clinical practice. Though communication has a central role in interdisciplinary collaboration and since miscommunication can have a negative impact on research processes, to the best of our knowledge, no study has yet explored how data analysis specialists and clinical researchers communicate over time.<h4>Methods/principal findings</h4>We conducted qualitative analysis of encounters between clinical researchers and data analysis specialists (epidemiologist, clinical epidemiologist, and data mining specialist). These encounters were recorded and systematically analyzed using a grounded theory methodology for extraction of emerging themes, followed by data triangulation and analysis of negative cases for validation. A policy analysis was then performed using a system dynamics methodology looking for potential interventions to improve this process. Four major emerging themes were found. Definitions using lay language were frequently employed as a way to bridge the language gap between the specialties. Thought experiments presented a series of "what if" situations that helped clarify how the method or information from the other field would behave, if exposed to alternative situations, ultimately aiding in explaining their main objective. Metaphors and analogies were used to translate concepts across fields, from the unfamiliar to the familiar. Prolepsis was used to anticipate study outcomes, thus helping specialists understand the current context based on an understanding of their final goal.<h4>Conclusion/significance</h4>The communication between clinical researchers and data analysis specialists presents multiple challenges that can lead to errors.
format	article
author	Guilherme Roberto Zammar Jatin Shah Ana Paula Bonilauri Ferreira Luciana Cofiel Kenneth W Lyles Ricardo Pietrobon
author_facet	Guilherme Roberto Zammar Jatin Shah Ana Paula Bonilauri Ferreira Luciana Cofiel Kenneth W Lyles Ricardo Pietrobon
author_sort	Guilherme Roberto Zammar
title	Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.
title_short	Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.
title_full	Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.
title_fullStr	Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.
title_full_unstemmed	Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.
title_sort	qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/cfc45570d7ed47ad80c86ed2ae2a96ef
work_keys_str_mv	AT guilhermerobertozammar qualitativeanalysisoftheinterdisciplinaryinteractionbetweendataanalysisspecialistsandnoviceclinicalresearchers AT jatinshah qualitativeanalysisoftheinterdisciplinaryinteractionbetweendataanalysisspecialistsandnoviceclinicalresearchers AT anapaulabonilauriferreira qualitativeanalysisoftheinterdisciplinaryinteractionbetweendataanalysisspecialistsandnoviceclinicalresearchers AT lucianacofiel qualitativeanalysisoftheinterdisciplinaryinteractionbetweendataanalysisspecialistsandnoviceclinicalresearchers AT kennethwlyles qualitativeanalysisoftheinterdisciplinaryinteractionbetweendataanalysisspecialistsandnoviceclinicalresearchers AT ricardopietrobon qualitativeanalysisoftheinterdisciplinaryinteractionbetweendataanalysisspecialistsandnoviceclinicalresearchers
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Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers.

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