A social network analysis of healthcare professional relationships in a French hospital

Boyer, Laurent; Belzeaux, Raoul; Maurel, Olivier; Baumstarck, Karine; Samuelian, Jean-Claude

doi:10.1108/09526861011050501

Cited by 36 publications

(29 citation statements)

References 27 publications

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“…This may indicate a pattern of professionals who are more often asked for advice or whose conversations are more frequently recalled. The seniority factor has also been observed in other studies [11, 12, 19]. …”

Section: Discussionsupporting

confidence: 80%

“…There are increasing numbers of studies combining different types of social networks and health [5–7], with scope for possible network interventions [8]. In health care settings [9–11], these have been used to analyze hierarchies and positions in the network [12, 13], their relationship with hospitalization costs and readmission rates [14], information seeking [15, 16], the adoption of best practices [17], and homophily in advice and friendship networks, the tendency of individuals to associate and bond with similar others [18, 19]. Social networks may play a role in the adoption of health behaviors and practices [20], and homophily, in particular, has been shown to have an effect [21, 22].…”

Section: Introductionmentioning

confidence: 99%

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The social network around influenza vaccination in health care workers: a cross-sectional study

et al. 2016

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BackgroundInfluenza vaccination coverage remains low among health care workers (HCWs) in many health facilities. This study describes the social network defined by HCWs’ conversations around an influenza vaccination campaign in order to describe the role played by vaccination behavior and other HCW characteristics in the configuration of the links among subjects.MethodsThis study used cross-sectional data from 235 HCWs interviewed after the 2010/2011 influenza vaccination campaign at the Hospital Clinic of Barcelona (HCB), Spain. The study asked: “Who did you talk to or share some activity with respect to the seasonal vaccination campaign?” Variables studied included sociodemographic characteristics and reported conversations among HCWs during the influenza campaign. Exponential random graph models (ERGM) were used to assess the role of shared characteristics (homophily) and individual characteristics in the social network around the influenza vaccination campaign.ResultsLinks were more likely between HCWs who shared the same professional category (OR 3.13, 95% CI = 2.61–3.75), sex (OR 1.34, 95% CI = 1.09–1.62), age (OR 0.7, 95% CI = 0.63–0.78 per decade of difference), and department (OR 11.35, 95% CI = 8.17–15.64), but not between HCWs who shared the same vaccination behavior (OR 1.02, 95% CI = 0.86–1.22). Older (OR 1.26, 95% CI = 1.14–1.39 per extra decade of HCW) and vaccinated (OR 1.32, 95% CI = 1.09–1.62) HCWs were more likely to be named.ConclusionsThis study finds that there is no homophily by vaccination status in whom HCWs speak to or interact with about a workplace vaccination promotion campaign. This result highlights the relevance of social network analysis in the planning of health promotion interventions.Electronic supplementary materialThe online version of this article (doi:10.1186/s13012-016-0522-3) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

The social network around influenza vaccination in health care workers: a cross-sectional study

et al. 2016

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“…On the other hand, Boyer et al [26] studied how networks and SNA techniques provide novel and useful means to understand communication and collaboration between hospital professionals. Anderson and Jay [30] demonstrated how social network analysis can be used to information for policy decisions pertaining to doctors' adoption and utilization of new medical technologies.…”

Section: Social Network Analysis In Healthcare Studymentioning

confidence: 99%

“…Unfortunately, little is currently known about network characteristics and their associations with health beliefs [11,26]. As there are arguments about the strength or value of using SNA rather than traditional statistical methods (regression) but at least the emphasis on the structure of relationships is especially relevant and useful for this kind of study.…”

Section: Social Network Analysis In Healthcare Studymentioning

confidence: 99%

Socioeconomic analysis of patient-centric networks: effects of patients and hospitals’ characteristics and network structure on hospitalization costs

2011

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Improving operations and delivery of cost-effective healthcare services is considered to be an important area of investigation due to the challenges in allocation of resources in meeting the increasing cost of health care for the twenty-first century. To date, appropriate mechanisms for systematic evaluation of hospital operations and its impact of the delivery of cost-effective healthcare services are lacking. This is, perhaps, the first study, which focuses on using large insurance claims data to develop a social network-based model for exploring the effect of patient-doctor tie strength and patient socio-demographic factors for exploring the social structure of operations and delivery of cost-effective healthcare services. We suggest that delivery of cost-effective healthcare services and operation is embedded within the social structure of hospitals. By exploring the mode of hospital operations in terms of their patient-centric care network, we are able to develop a better understanding of the operation and delivery of cost-effective healthcare services.

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“…In this respect, methods from the social network analysis [33] and computational organizational science [34] domains are ideal candidates for policy extraction. In the biomedical realm, such techniques have been successfully applied to characterize the interactive and dynamic nature of multi-disciplinary research communities [35, 36], to discover the dynamics of public health settings to facilitate change management [37], to explain physician adoption rates of EHR systems [38], and, most recently, investigate the relationships of healthcare providers in various clinical contexts [39, 40, 41]. …”

Section: Related Workmentioning

confidence: 99%

Learning relational policies from electronic health record access logs

Malin

Nyemba

Paulett

2011

Journal of Biomedical Informatics

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Modern healthcare organizations (HCOs) are composed of complex dynamic teams to ensure clinical operations are executed in a quick and competent manner. At the same time, the fluid nature of such environments hinders administrators' efforts to define access control policies that appropriately balance patient privacy and healthcare functions. Manual efforts to define these policies are labor-intensive and error-prone, often resulting in systems that endow certain care providers with overly broad access to patients' medical records while restricting other providers from legitimate and timely use. In this work, we propose an alternative method to generate these policies by automatically mining usage patterns from electronic health record (EHR) systems. EHR systems are increasingly being integrated into clinical environments and our approach is designed to be generalizable across HCOs, thus assisting in the design and evaluation of local access control policies. Our technique, which is grounded in data mining and social network analysis theory, extracts a statistical model of the organization from the access logs of its EHRs. In doing so, our approach enables the review of predefined policies, as well as the discovery of unknown behaviors. We evaluate our approach with five months of access logs from the Vanderbilt University Medical Center and confirm the existence of stable social structures and intuitive business operations. Additionally, we demonstrate that there is significant turnover in the interactions between users in the HCO and that policies learned at the department level afford greater stability over time.

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A social network analysis of healthcare professional relationships in a French hospital

Abstract: The paper shows how networks and SNA techniques provide novel and useful means to understand communication and collaboration between hospital professionals.

Cited by 36 publications

References 27 publications

The social network around influenza vaccination in health care workers: a cross-sectional study

The social network around influenza vaccination in health care workers: a cross-sectional study

Socioeconomic analysis of patient-centric networks: effects of patients and hospitals’ characteristics and network structure on hospitalization costs

Learning relational policies from electronic health record access logs

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