Social Network Analysis of Intensive Care Unit Health Care Professionals Measured by Wearable Sociometric Badges: Longitudinal Observational Study

Autor: Eiji Kawamoto, Mami Ito, Motomu Shimaoka, Noriko Mizutani, Tomoyo Hayashi, Hiroshi Imai, Asami Ito-Masui, Ryo Esumi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 12, p e23184 (2020)
ISSN: 1438-8871
1439-4456
Popis: Background Use of wearable sensor technology for studying human teamwork behavior is expected to generate a better understanding of the interprofessional interactions between health care professionals. Objective We used wearable sociometric sensor badges to study how intensive care unit (ICU) health care professionals interact and are socially connected. Methods We studied the face-to-face interaction data of 76 healthcare professionals in the ICU at Mie University Hospital collected over 4 weeks via wearable sensors. Results We detail the spatiotemporal distributions of staff members’ inter- and intraprofessional active face-to-face interactions, thereby generating a comprehensive visualization of who met whom, when, where, and for how long in the ICU. Social network analysis of these active interactions, concomitant with centrality measurements, revealed that nurses constitute the core members of the network, while doctors remain in the periphery. Conclusions Our social network analysis using the comprehensive ICU interaction data obtained by wearable sensors has revealed the leading roles played by nurses within the professional communication network.
Databáze: OpenAIRE
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