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

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Date
2010-02-24
Authors
Zammar, Guilherme Roberto
Shah, Jatin
Ferreira, Ana Paula Bonilauri
Cofiel, Luciana
Lyles, Kenneth W
Pietrobon, Ricardo
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Abstract
BACKGROUND: 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. METHODS/PRINCIPAL FINDINGS: 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. CONCLUSION/SIGNIFICANCE: The communication between clinical researchers and data analysis specialists presents multiple challenges that can lead to errors.
Type
Journal article
Subject
Biomedical Research
Humans
Interdisciplinary Communication
Interprofessional Relations
Models, Theoretical
Peer Review, Research
Qualitative Research
Research Design
Research Personnel
Surveys and Questionnaires
Permalink
https://hdl.handle.net/10161/4528
Published Version (Please cite this version)
10.1371/journal.pone.0009400
Publication Info
Zammar, Guilherme Roberto; Shah, Jatin; Ferreira, Ana Paula Bonilauri; Cofiel, Luciana; Lyles, Kenneth W; & Pietrobon, Ricardo (2010). Qualitative analysis of the interdisciplinary interaction between data analysis specialists and novice clinical researchers. PLoS One, 5(2). pp. e9400. 10.1371/journal.pone.0009400. Retrieved from https://hdl.handle.net/10161/4528.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Lyles

Kenneth Ward Lyles

Professor of Medicine
My research activities focus on understanding ways that osteoporotic fractures affect people and trying to learn ways to reduce their impact on affected individuals and prevent further fractures. I have worked with patient with hip and vertebral fractures, gaining insight into the impairments such fractures cause. Also we have learned that a hip fracture is a major risk factor for subsequent fractures after the initial hip fracture. Our group completed a randomized, placebo-controlled trial
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