ArticleSocial science & medicine (1982)2010
Exploring the use of social network methods in designing healthcare quality improvement teams.
Article in Social science & medicine (1982), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.
- Use of social network analysis methods to study professional advice and performance among healthcare providers: a systematic review.Systematic reviews · 2017Pooled it
- Health professional networks as a vector for improving healthcare quality and safety: a systematic review.BMJ quality & safety · 2012Pooled it
- Characterizing nursing home care team communication via text messaging: A social network analysis.International journal of medical informatics · 2026Article
- Monitoring and evaluating an implementation strategy aimed at improving interprofessional collaboration in community-based fall prevention: a mixed-methods study.Implementation science communications · 2025Article
- Peer effects on appropriate antibiotic prescribing within a patient-sharing physician network in China.Communications medicine · 2025Article
- Registered nurse effect on long length of stay in the heart failure hospitalizations of African Americans.PloS one · 2025Article
- Exploring the use of social network analysis methods in process improvement within healthcare organizations: a scoping review.BMC health services research · 2024Article
- The development of trauma-informed community partnerships: A mixed method social network study.Human service organizations, management, leadership & governance · 2024Article
- Evaluating Strategies to Promote Effective, Multidisciplinary Team Collaboration in School Mental Health.Journal of applied school psychology · 2023Article
- Network approaches and interventions in healthcare settings: A systematic scoping review.PloS one · 2023Article
- Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure.PloS one · 2023Article
- Network evaluation of an innovation platform in continuous quality improvement in Australian Indigenous primary healthcare.Health research policy and systems · 2022Article
- The teamwork structure, process, and context of a paediatric cardiac surgery team in Mongolia: A mixed-methods approach.The International journal of health planning and management · 2022Article
- Observational
- Health workers' social networks and their influence in the adoption of strategies to address the stillbirth burden at a subnational level health system in Uganda.PLOS global public health · 2022Article
- A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence.Scientific reports · 2021Article
- Characteristics of High-Performing Primary Care Pediatric Practices: A Qualitative Study.Academic pediatrics · 2020Article
- Characterization of the flow of patients in a hospital from complex networks.Health care management science · 2020Article
- Receipt of Promotional Payments at the Individual and Physician Network Level Associated with Higher Branded Antipsychotic Prescribing Rates.Administration and policy in mental health · 2020Article
- Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Teams are an integral component of quality improvement efforts in healthcare organizations. Quality improvement teams may involve persons either from the same or different disciplines. In either case, the selection of team members may be critical to the team's success. However, there is little research to guide selection of team members for quality improvement teams. In this paper, we use tools from social network analysis (SNA) to derive principles for the design of effective clinical quality improvement teams and explore the implementation of these principles using social network data collected from the inpatient general medicine services at a large academic medical center in Chicago, USA. While the concept of multidisciplinary teams focuses on the importance of the professional background of team members, SNA emphasizes the importance of the individual and collective connections of team members, both to persons outside the team and to each other. SNA also focuses on the location of individuals and groups between other actors in the flow of information and other resources within larger organizational networks. We hypothesize that external connections may be most important when the collection or dissemination of information or influence are the greatest concerns, while the relationship of team members to each other may matter most when internal coordination, knowledge sharing, and within-group communication are most important. Our data suggest that the social networks of the attending physicians can be characterized sociometrically and that new sociometric measures such as "net degree" may be useful in identifying teams with the greatest potential for external influence.
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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.