Evidence map›Paper›PMID 33258785›Full record

Observational studyJournal of medical Internet research2020

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

Eiji Kawamoto, Asami Ito-Masui, Ryo Esumi, Mami Ito, Noriko Mizutani, Tomoyo Hayashi, Hiroshi Imai, Motomu Shimaoka

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Eiji KawamotoDepartment of Emergency and Disaster Medicine, Graduate School of Medicine, Mie University, Tsu-City, Japan.ORCID 0000-0003-3920-9939
Asami Ito-MasuiDepartment of Emergency and Disaster Medicine, Graduate School of Medicine, Mie University, Tsu-City, Japan.ORCID 0000-0002-2086-4231
Ryo EsumiDepartment of Emergency and Disaster Medicine, Graduate School of Medicine, Mie University, Tsu-City, Japan.ORCID 0000-0003-4954-9750
Mami ItoEmergency and Critical Care Center, Mie University Hospital, Tsu-City, Japan.ORCID 0000-0003-4981-9378
Noriko MizutaniEmergency and Critical Care Center, Mie University Hospital, Tsu-City, Japan.ORCID 0000-0001-7200-9619
Tomoyo HayashiEmergency and Critical Care Center, Mie University Hospital, Tsu-City, Japan.ORCID 0000-0002-5904-9728
Hiroshi ImaiDepartment of Emergency and Disaster Medicine, Graduate School of Medicine, Mie University, Tsu-City, Japan.ORCID 0000-0003-0738-3633
Motomu ShimaokaDepartment of Molecular Pathobiology and Cell Adhesion Biology, Graduate School of Medicine, Mie University, Tsu-City, Japan.ORCID 0000-0001-5764-2598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUse of wearable sensor technology for studying human teamwork behavior is expected to generate a better understanding of the interprofessional interactions between health care professionals.

objectiveWe used wearable sociometric sensor badges to study how intensive care unit (ICU) health care professionals interact and are socially connected.

methodsWe 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.

resultsWe 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.

conclusionsOur 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.

Indexed as

Social Network AnalysisFemaleHumansIntensive Care UnitsLongitudinal StudiesMaleWearable Electronic Devicesclinician interactioninterprofessional communicationsocial network analysiswearable

Identifiers

PMID33258785
PMCPMC7808885

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.