scholarly journals Social Network Analysis of Intensive Care Unit Health Care Professionals Measured by Wearable Sociometric Badges: Longitudinal Observational Study (Preprint)

2020 ◽  
Author(s):  
Eiji Kawamoto ◽  
Asami Ito-Masui ◽  
Ryo Esumi ◽  
Mami Ito ◽  
Noriko Mizutani ◽  
...  
Keyword(s):  
Health Care ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Care Professionals ◽  
Wearable Sensors ◽  
Interaction Data ◽  
Face To Face

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.

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

10.2196/23184 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e23184
Author(s):  
Eiji Kawamoto ◽  
Asami Ito-Masui ◽  
Ryo Esumi ◽  
Mami Ito ◽  
Noriko Mizutani ◽  
...  
Keyword(s):  
Health Care ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Care Professionals ◽  
Wearable Sensors ◽  
Interaction Data ◽  
Face To Face

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.

scholarly journals Application of Social Network Analysis to Health Care Sectors

2012 ◽  
Vol 18 (1) ◽  
pp. 44 ◽  
Author(s):  
Hae Lan Jang ◽  
Young Sung Lee ◽  
Ji-Young An
Keyword(s):  
Health Care ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis

scholarly journals Bedside Nurse Acceptance of Intensive Care Unit Telemedicine Presence

2018 ◽  
Vol 38 (6) ◽  
pp. e1-e4 ◽  
Author(s):  
Christina Canfield ◽  
Sandra Galvin
Keyword(s):  
Health Care ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Nurse Practitioners ◽  
Health Care Professionals ◽  
Health Care Organizations ◽  
Care Delivery ◽  
Health Care Delivery System ◽  
Perception Of Support ◽  
Evidence Based Care

Since 2010, health care organizations have rapidly adopted telemedicine as part of their health care delivery system to inpatients and outpatients. The application of telemedicine in the intensive care unit is often referred to as tele-ICU. In telemedicine, nurses, nurse practitioners, physicians, and other health care professionals provide patient monitoring and intervention from a remote location. Tele-ICU presence has demonstrated positive outcomes such as increased adherence to evidence-based care and improved perception of support at the bedside. Despite the successes, acceptance of tele-ICU varies. Known barriers to acceptance include perceptions of intrusiveness and invasion of privacy.

scholarly journals Strengths and weaknesses of the Net-Map tool for participatory social network analysis in resource management: Experience from case studies conducted on four continents

2018 ◽  
Vol 11 (2) ◽  
pp. 205979911878775 ◽  
Author(s):  
Barbara Schröter ◽  
Claudia Sattler ◽  
Frieder Graef ◽  
Cheng Chen ◽  
Estephania Delgadillo ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Face To Face ◽  
Directed Information ◽  
Management Experience ◽  
Participatory Network ◽  
Network Mapping ◽  
Depth Interviews

For researchers, conducting face-to-face interviews is always a challenge as it often turns into a one-way directed information retrieval. Therefore, interviewees not always are very motivated, enthusiastic and cooperative in responding to the questions. In the end, this has implications for the quality of the interview data. To improve the interview setting and the resulting data, in several projects the Net-Map tool was used to conduct participatory social network analysis. The tool is a combination of in-depth interviews and participatory network mapping. During the interviews, the interviewee draws the network of relevant actors, notes down their motivations and evaluates and displays the actors’ influence and benefits by building towers using any kind of stacks. In this research note, we present the strengths and weaknesses of the method against the experiences with applying the Net-Map tool on four different continents and give ideas for improvements and further research.

scholarly journals Nature-Based Interventions for Mental Health Care: Social Network Analysis as a Tool to Map Social Farms and their Response to Social Inclusion and Community Engagement

2019 ◽  
Vol 16 (18) ◽  
pp. 3501 ◽  
Author(s):  
Marta Borgi ◽  
Mario Marcolin ◽  
Paolo Tomasin ◽  
Cinzia Correale ◽  
Aldina Venerosi ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Mental Health Care ◽  
Rural Areas ◽  
Social Inclusion ◽  
Local Communities ◽  
Social Farming

Social farming represents a hybrid governance model in which public bodies, local communities, and economic actors act together to promote health and social inclusion in rural areas. Although relational variables are crucial to foster social farm performance, the relational system in which farms are embedded has still not been fully described. Using social network analysis, here we map the nature of the links of a selected sample of social farms operating in Northern Italy. We also explore possible network variations following specific actions taken to potentiate local social farming initiatives. The results show a certain degree of variability in terms of the extension and features of the examined networks. Overall, the actions taken appear to be significant to enlarge and diversify farms’ networks. Social farming has the potential to provide important benefits to society and the environment and to contrast vulnerability in rural areas. Being able to create social and economic networks of local communities, social farming may also represent an innovative way to respond to the cultural shift from institutional psychiatry to community-based mental health care. This study emphasizes the critical role played by network facilitation in diversifying actors, promoting heterogeneous relationships, and, in turn, system complexity.

scholarly journals THE EVALUATION OF INTERPROFESSIONAL EDUCATION IN PRIMARY CARE: A SOCIAL NETWORK ANALYSIS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S47-S47
Author(s):  
Linda C Smit ◽  
Jeroen Dikken ◽  
Nienke M Moolenaar ◽  
Marieke J Schuurmans ◽  
Niek J De Wit ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Older People ◽  
Health Care Professionals ◽  
Interprofessional Education ◽  
Social Care ◽  
Care Providers ◽  
Frail Older People ◽  
Health And Social Care

Abstract Effective, safe, person-centred care relies on skilled interprofessional collaboration (IPC) and practice. Little is known about interprofessional education (IPE) to increase IPC in the context of care for frail older people in the community. This study evaluates the effectiveness of IPE on IPC of primary health and social care providers providing care to frail older people in three districts in the Netherlands. A before-after study among 55 health care professionals using social network analysis was performed. The number of contacts increased on average with two contacts. The reciprocity in the districts increased with 15%, 2% and 13%. The diversity of contacts increased between 6% and 10% (p <.001; p .055; p .371). The IPE effectuated a larger, more collaborative, and diverse interprofessional network of health and social care professionals providing care to frail older people suggesting a ripple-effect of networked interventions.

scholarly journals Social Network Analysis to Examine Interaction Patterns in Knowledge Building Communities

2010 ◽  
Vol 36 (1) ◽  
Author(s):  
Donald N. Philip
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Building ◽  
Group Processes ◽  
Interaction Patterns ◽  
Face To Face ◽  
Grade 5 ◽  
Teachers And Students ◽  
Building Community

This paper describes use of social network analysis to examine student interaction patterns in a Grade 5/6 Knowledge Building class. The analysis included face-to-face interactions and interactions in the Knowledge Forum® Knowledge Building environment. It is argued that sociogram data are useful to reveal group processes; in sociological terms, the community lies in the connections among the group. A classroom of unconnected individuals is unlikely to form as a Knowledge Building community; data analyses reported in this study show promise in understanding the dynamics of Knowledge Building in a consistent and measurable way. The strength of the work is not in particular patterns demonstrated but in new forms of assessment and their potential to inform work as it proceeds. The research reported shows that teachers and students are finding social network analysis useful and that through their engagement research-practitioner-engineer teams are better positioned to develop tools to advance Knowledge Building pedagogy.

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