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Evaluating collaborations in comparative effectiveness research: opportunities and challenges for social network
Joseph S Zickafoose1, Laura D Kimmey, Amber Tomas
1Mathematica Policy Research, Ann Arbor, MI 48104, USA.
Multidisciplinary, multi-institutional collaboration is vital for comparative effectiveness research (CER). Social network analysis can help evaluate how different collaboration types impact CER project success.
Area of Science:
- Health Services Research
- Network Science
Background:
- Multidisciplinary, multi-institutional collaboration is central to comparative effectiveness research (CER).
- Funding agencies often promote collaborative structures in CER initiatives.
- Evaluating the impact of collaboration on CER project success is a key challenge.
Purpose of the Study:
- To explore the utility of social network analysis (SNA) for assessing CER collaboration.
- To investigate the relationship between collaboration patterns and CER project success.
Main Methods:
- The study proposes the application of social network analysis techniques.
- SNA will be used to map and analyze collaborative structures within CER projects.
Main Results:
- Social network analysis offers a framework to examine collaboration in CER.
- This approach can identify how different forms of collaboration relate to project outcomes.
Conclusions:
- SNA is a valuable tool for understanding and evaluating collaborative dynamics in CER.
- Further research using SNA can inform strategies for optimizing CER collaborations and funding.
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