ArticleBMJ quality & safety2012
What's in a name generator? Choosing the right name generators for social network surveys in healthcare quality and safety research.
Article in BMJ quality & safety, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 56 citations in OpenAlex.
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- Health Literacy, Social Networks, and Health Outcomes among Mental Health Clubhouse Members in Hawai'i.International journal of environmental research and public health · 2023Article
- Network approaches and interventions in healthcare settings: A systematic scoping review.PloS one · 2023Article
- Social Network Analysis of Ebola Virus Disease During the 2014 Outbreak in Sukudu, Sierra Leone.Open forum infectious diseases · 2022Article
- Nurse champions as street-level bureaucrats: Factors which facilitate innovation, policy making, and reconstruction.Frontiers in psychology · 2022Article
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- The Ecology of Unsheltered Homelessness: Environmental and Social-Network Predictors of Well-Being among an Unsheltered Homeless Population.International journal of environmental research and public health · 2021Article
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- Older Adult Health-Related Support Networks: Implications for the Design of Digital Communication Tools.Innovation in aging · 2020Article
- Personal and Network Dynamics in Performance of Knowledge Workers: A Study of Australian Breast Radiologists.PloS one · 2016Article
- Improving the experience of dementia and enhancing active life--living well with dementia: study protocol for the IDEAL study.Health and quality of life outcomes · 2014Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundInterest in the use of social network analysis (SNA) in healthcare research has increased, but there has been little methodological research on how to choose the name generators that are often used to collect primary data on the social connection between individuals for SNA.
objectiveWe sought to determine a minimum set of name generators sufficient to distinguish the social networks of a target population of physicians active in quality improvement (QI).
methodsWe conducted a pilot survey including 8 name generators in a convenience sample of 25 physicians active in QI to characterize their social networks. We used multidimensional scaling to determine what subset of these name generators was needed to distinguish these social networks.
resultsWe found that some physicians maintain a social network organized around a specific colleague who performed multiple roles while others maintained highly differentiated networks. We found that a set of 5 of the 8 name generators we used was needed to distinguish the networks of these physicians.
conclusionsBeyond methodology for selecting name generators, our findings suggest that QI networks may require 5 or more generators to elicit valid sets of relevant actors and relations in this target population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.