ArticleImplementation science : IS2016
Structuring successful collaboration: a longitudinal social network analysis of a translational research network.
Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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Who cites it
28 citing papers in PubMed.
- The National Paediatric Applied Research Translation Initiative (N-PARTI): using implementation science to improve primary care for Australian children with asthma, type 1 diabetes, and infections.BMC health services research · 2025Article
- Support of Underrepresented and Early-Stage Faculty at a Research Center for Minority Institutions: A Social Network Analysis of Research Productivity over a Five-Year Period.Innovative higher education · 2025Article
- Inclusive Research in Medical Education: Strategies to Improve Scholarship and Cultivate Scholars.Journal of general internal medicine · 2025Article
- Social network analysis of a decade-long collaborative innovation network between hospitals and the biomedical industry in China.Scientific reports · 2024Article
- Collaboration and growth in a large research cooperative: A network analytic approach.Evaluation and program planning · 2024Article
- Strengthening research networks: Insights from a clinical research network in Brazil.PloS one · 2024Article
- Article
- Describing the state of a research network: A mixed methods approach to network evaluation.Research Evaluation · 2023Article
- Mapping continuous learning using social network research: a social network study of Australian Genomics as a Learning Health System.BMJ open · 2022Article
- Inter-individual relationships within a Canadian SPOR research network: a social network study.BMC health services research · 2022Article
- Collaboration networks of the implementation science centers for cancer control: a social network analysis.Implementation science communications · 2022Article
- Networks to strengthen community social capital for suicide prevention in regional Australia: the LifeSpan suicide prevention initiative.International journal of mental health systems · 2022Article
- Using social network analysis to understand multisectoral governance in district-level tobacco control programme implementation in India.BMJ global health · 2022Article
- Evaluating the Evolution of Social Networks: A Ten-Year Longitudinal Analysis of an Agricultural, Fishing and Forestry Occupational Health Research Center.International journal of environmental research and public health · 2021Article
- Practical Tools and Guidelines for Young Oncologists From Resource-Limited Settings to Publish Excellence and Advance Their Career.JCO global oncology · 2021Article
- Enabling visibility of the clinician-scientists' knowledge broker role: a participatory design research in the Dutch nursing-home sector.Health research policy and systems · 2021Article
- What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?Frontiers in public health · 2021Article
- Development of an implementation and evaluation strategy for the Australian 'Zero Childhood Cancer' (Zero) Program: a study protocol.BMJ open · 2020Article
- Evaluating the impact of a health hackathon on collaborative team science: a Social Network Analysis (SNA).Journal of clinical and translational science · 2020Article
- The three numbers you need to know about healthcare: the 60-30-10 Challenge.BMC medicine · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 2012 and 2013, we conducted a social network survey of a new translational research network (TRN) designed to deliver better care to cancer patients. Results of these two surveys showed that silos of researchers and clinicians existed before the TRN was established but that the network had mediated collaborative relationships. This paper reports on a third social network survey of the TRN and focusses on the structure of the collaborative arrangements among members.
methodsMembers of the TRN were invited to complete an on-line, whole network survey in May 2015. The survey asked respondents to identify personal impacts, outputs and wider outcomes attributable to their TRN membership. The final question asked respondents to select the name of TRN members with whom they had collaborated either formally or informally. For each member nominated, they were asked to say whether they had known this person before joining the TRN.
resultsResponse rate was 70 %. Over 4 years, the TRN has grown in size from 68 to 244 members. Relationships within and across the TRN have become more collaborative and interactive, with 1658 collaborative ties between members and over 40 % of ties with people unknown to participants before they joined the TRN. This points to a well-functioning network which has retained its focus on the original goals of the TRN and has fostered collaboration between researchers, clinicians, managers, consumers and TRN operational staff. This survey shows that the TRN's impact goes beyond outcomes from formal TRN-funded projects. About one third of respondents could list projects not directly funded by the TRN but which are attributed to TRN membership. Examples of practice change brought about through the TRN were given by 77 % of respondents. A substantial risk factor for the future is the high levels of dependency on key or central TRN participants.
conclusionsThe structure of the TRN with its active central actors and brokers has been able to foster collaboration on implementation initiatives that result in practice change. The role of a social professional network in driving this collaboration is shown.
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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.