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Characterizing the structure and content of nurse handoffs: A Sequential Conversational Analysis approach
Joanna Abraham1, Thomas Kannampallil2, Corinne Brenner3
1Department of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, United States.
Journal of Biomedical Informatics
|December 3, 2015
Summary
Effective nurse handoffs are crucial for patient safety. Sequential Conversational Analysis (SCA) offers a novel mixed-method approach to understand nurse communication dynamics, improving patient care interventions.
Area of Science:
- Healthcare communication
- Nursing informatics
- Qualitative and quantitative research methods
Background:
- Effective nurse handoffs are vital for safe patient care.
- Previous research often relied on retrospective methods like surveys.
- A deeper understanding of conversational structure and content is needed for better interventions.
Purpose of the Study:
- To introduce Sequential Conversational Analysis (SCA), a novel mixed-method framework.
- To demonstrate SCA's utility in analyzing nurse handoff communication.
- To provide a foundation for designing improved nurse handoff interventions.
Main Methods:
- Integration of qualitative conversational analysis with quantitative sequential pattern analysis.
- Application of SCA to analyze nurse handoffs in a medical intensive care unit.
- Characterization of conversational structure, clinical content, and disruptions.
Main Results:
- SCA effectively characterizes the structure and content of nurse handoff conversations.
- Identified key communication patterns including interactivity, role-based requirements, critical events, and pending tasks.
- Highlighted the phasic nature and dynamics of nurse communication during handoffs.
Conclusions:
- Sequential Conversational Analysis (SCA) provides an in-depth understanding of nurse handoff communication dynamics.
- This methodological framework can inform the development of targeted interventions to enhance patient safety.
- SCA is applicable to analyzing communication in diverse healthcare and other professional settings.
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