Social Networks in Health Care Teams
Evidence from the United States
ResearchPosted on rand.org Sep 20, 2016Published in: Journal of Health Organization and Management, 2016
Health care teams could use social network analysis study findings to adjust team structures to help facilitate information exchange, promote collaboration, and improve team performance and patient outcomes.
Evidence from the United States
ResearchPosted on rand.org Sep 20, 2016Published in: Journal of Health Organization and Management, 2016
This review synthesized existing evidence regarding health care team networks, including their formation and association with outcomes in various health care settings.
Network Theory informed this review. A literature search was conducted in major databases for studies that used social network analysis methods to study health care teams in the United States between 2000–2014. Retrieved studies were reviewed against inclusion and exclusion criteria.
Overall, 25 studies were included in this review. Results demonstrated that health care team members form professional (e.g., consultation) and personal (e.g., friendship) networks. Network formation can be influenced by team member characteristics (i.e., demographics and professional affiliations) as well as by contextual factors (i.e., providers sharing patient populations and physical proximity to colleagues). These networks can affect team member practice such as adoption of a new medication. Network structures can also impact patient and organizational outcomes, including occurrence of adverse events and deficiencies in health care delivery.
Administrators and policy makers can use knowledge of health care networks to leverage relational structures in teams and tailor interventions that facilitate information exchange, promote collaboration, increase diffusion of evidence-based practices, and potentially improve individual and team performance as well as patient care and outcomes.
Most health services research studies have investigated health care team composition and functioning using traditional social science methodologies, which fail to capture relational structures within teams. Thus, this review is original in terms of focusing on dynamic relationships among team members.
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