Hospital Networking

MacPhee, Maura

doi:10.1097/00005110-200004000-00010

Cited by 14 publications

(2 citation statements)

References 22 publications

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“…Other areas of focus included decision-making [24], interpersonal relations, [25] information sharing behaviour [22] and social support [17], [26], [27].…”

Section: Resultsmentioning

confidence: 99%

“…SNA can also reveal the networks used by health professionals for social support, with studies reporting on the importance of close ties with co-workers in a potentially stressful setting (psychiatric hospital) [39]; the differences between nurses working normal and flexible schedules [26]; and the potential of early social support to reduce distrust among nursing team members [17].…”

Section: Resultsmentioning

confidence: 99%

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Social Network Analysis in Healthcare Settings: A Systematic Scoping Review

et al. 2012

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BackgroundSocial network analysis (SNA) has been widely used across a range of disciplines but is most commonly applied to help improve the effectiveness and efficiency of decision making processes in commercial organisations. We are utilising SNA to inform the development and implementation of tailored behaviour-change interventions to improve the uptake of evidence into practice in the English National Health Service. To inform this work, we conducted a systematic scoping review to identify and evaluate the use of SNA as part of an intervention to support the implementation of change in healthcare settings.Methods and FindingsWe searched ten bibliographic databases to October 2011. We also searched reference lists, hand searched selected journals and websites, and contacted experts in the field. To be eligible for the review, studies had to describe and report the results of an SNA performed with healthcare professionals (e.g. doctors, nurses, pharmacists, radiographers etc.) and others involved in their professional social networks. We included 52 completed studies, reported in 62 publications. Almost all of the studies were limited to cross sectional descriptions of networks; only one involved using the results of the SNA as part of an intervention to change practice.ConclusionsWe found very little evidence for the potential of SNA being realised in healthcare settings. However, it seems unlikely that networks are less important in healthcare than other settings. Future research should seek to go beyond the merely descriptive to implement and evaluate SNA-based interventions.

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“…Other areas of focus included decision-making [24], interpersonal relations, [25] information sharing behaviour [22] and social support [17], [26], [27].…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Social Network Analysis in Healthcare Settings: A Systematic Scoping Review

et al. 2012

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Explaining Job Hours of Physicians, Nurses, EMTs, and Nursing Assistants: Gender, Class, Jobs, and Families

Gerstel¹,

Clawson²,

Huyser³

Research in the Sociology of Work

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Variations in the Adoption of Healthcare Innovation: A Literature Review

Miraldo¹,

Hauck²,

Vernet³

et al. 2019

Oxford Research Encyclopedia of Economics and Finance

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Major medical innovations have greatly increased the efficacy of treatments, improved patient outcomes, and often reduced the cost of medical care. However, innovations do not diffuse uniformly across and within health systems. Due to the high complexity of medical treatment decisions, variations in clinical practice are inherent to healthcare delivery, regardless of technological advances, new ways of working, funding, and burden of disease. In this article we conduct a narrative literature review to identify and discuss peer-reviewed articles presenting a theoretical framework or empirical evidence of the factors associated with the adoption of innovation and clinical practice. We find that variation in innovation adoption and medical practice is associated with multiple factors. First, patients’ characteristics, including medical needs and genetic factors, can crucially affect clinical outcomes and the efficacy of treatments. Moreover, differences in patients’ preferences can be an important source of variation. Medical treatments may need to take such patient characteristics into account if they are to deliver optimal outcomes, and consequently, resulting practice variations should be considered warranted and in the best interests of patients. However, socioeconomic or demographic characteristics, such as ethnicity, income, or gender are often not considered legitimate grounds for differential treatment. Second, physician characteristics—such as socioeconomic profile, training, and work-related characteristics—are equally an influential component of practice variation. In particular, so-called “practice style” and physicians’ attitudes toward risk and innovation adoption are considered a major source of practice variation, but have proven difficult to investigate empirically. Lastly, features of healthcare systems—notably, public coverage of healthcare expenditure, cost-based reimbursement of providers, and service-delivery organization, are generally associated with higher utilization rates and adoption of innovation. Research shows some successful strategies aimed at reducing variation in medical decision-making, such as the use of decision aids, data feedback, benchmarking, clinical practice guidelines, blinded report cards, and pay for performance. But despite these advances, there is uneven diffusion of new technologies and procedures, with potentially severe adverse efficiency and equity implications.

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Hospital Networking

Abstract: Workplace networks are important to both types of nurses. Nurses on flex schedules may form less social attachments in order to manage the increased demands of moving among multiple units. This group of nurses can provide clues for adaptive change in reengineered environments.

Cited by 14 publications

References 22 publications

Social Network Analysis in Healthcare Settings: A Systematic Scoping Review

Social Network Analysis in Healthcare Settings: A Systematic Scoping Review

Explaining Job Hours of Physicians, Nurses, EMTs, and Nursing Assistants: Gender, Class, Jobs, and Families

Variations in the Adoption of Healthcare Innovation: A Literature Review

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