The Importance of External Contacts in Job Performance: A Study in Healthcare Organizations Using Social Network Analysis
Pilar Marqués-Sánchez,
María F. Muñoz-Doyague,
Yolanda V. Martínez,
Martin Everett,
Nestor Serrano-Fuentes,
Peter Van Bogaert,
Ivaylo Vassilev and
David Reeves
Additional contact information
Pilar Marqués-Sánchez: SALBIS Research Group, Faculty of Health Sciences, University of Leon, Campus of Ponferrada s/n, 24401 Ponferrada, León, Spain
María F. Muñoz-Doyague: School of Economics and Management, University of Leon, Facultad de Económicas y Empresariales, Campus de Vegazana, 24071 León, Spain
Yolanda V. Martínez: NIHR School for Primary Care Research, Centre for Primary Care, University of Manchester, Oxford Road, Manchester M13 9PL, UK
Martin Everett: School of Social Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK
Nestor Serrano-Fuentes: Faculty of Health Sciences, University of Southampton, University Road, Southampton SO17 1BJ, UK
Peter Van Bogaert: Division of Nursing and Midwifery Sciences, Centre for Research and Innovation in Care (CRIC), Faculty of Medicine and Health Sciences, University of Antwerp, Universiteitsplein 1, B-2610 Wilrijk, Belgium
Ivaylo Vassilev: Faculty of Health Sciences, University of Southampton, University Road, Southampton SO17 1BJ, UK
David Reeves: NIHR School for Primary Care Research, Centre for Primary Care, University of Manchester, Oxford Road, Manchester M13 9PL, UK
IJERPH, 2018, vol. 15, issue 7, 1-17
Abstract:
There is evidence that relations between physicians and nurses within healthcare institutions might be shaped by informal aspects of such relations and by links to people external to the organization, with an impact on work performance. Social network analysis is underutilized in exploring such associations. The paper aims to describe physicians’ and nurses’ relationships outside their clinical units and to explore what kind of ties are related to job performance. A network analysis was performed on cross-sectional data. The study population consisted of 196 healthcare employees working in a public hospital and a primary healthcare centre in Spain. Relational data were analysed using the UCINET software package. Measures included: (i) sample characteristics; (ii) social network variables; and (iii) team performance ratings. Descriptive statistics (means, medians, percentages) were used to characterize staff and performance ratings. A correlational analysis was conducted to examine the strength of relationships between four different types of ties. Our findings suggest that external ties only contribute to improving the performance of physicians at both the individual and team level. They are focused on the decision-making process about the therapeutic plan and, therefore, might need to seek advice outside the workplace. In contrast, external ties are not relevant for the work performance of nurses, as they need to find solutions to immediate problems in a short period of time, having strong ties in the workplace. Social network analysis can illuminate relations within healthcare organizations and inform the development of innovative interventions.
Keywords: healthcare providers; job performance; social network analysis; relationships (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1660-4601/15/7/1345/pdf (application/pdf)
https://www.mdpi.com/1660-4601/15/7/1345/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:15:y:2018:i:7:p:1345-:d:154642
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().