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The social network paradigm and applications in pharmacy
Andrea L Kjos1, Marcia M Worley, Jon C Schommer
1Department of Pharmaceutical, Biomedical and Administrative Sciences, College of Pharmacy and Health Sciences, Drake University, 2507 University Avenue, Des Moines, IA 50311, USA. andrea.kjos@drake.edu
Social network analysis offers a framework to understand how relationships influence health behaviors. This approach can be applied in pharmacy to predict health outcomes and guide future research.
Area of Science:
- Sociology
- Health Behavior
- Network Science
Background:
- Calls for research to integrate contextual and macrolevel factors in health models.
- Network approach emphasizes the influence of relationships on behavior prediction.
Purpose of the Study:
- Describe the social network paradigm using sociological principles and methods.
- Discuss health applications of social network analysis to guide pharmacy research.
Main Methods:
- Descriptive overview of conceptual models, methods, measures, and analyses in social network paradigm.
- Emphasis on network boundaries, sampling, and data collection considerations.
- Definition of centrality and cohesion constructs in social network analysis.
Main Results:
- Social network paradigm utilizes relational and structural assumptions for behavior prediction.
- Commonly used models across various applications.
- Network analysis involves computational programs, data management, and statistical testing.
- Application of social network analysis in healthcare with proposed pharmacy-specific models.
Conclusions:
- Growing need for health behaviorists to study social network effects on behavior.
- Social network models offer a standalone or complementary perspective for explaining health and organizational behavior in healthcare.
- Potential applications in pharmacy research and practice.
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