Return to sender
Unraveling the role of structural and social network ties in patient sharing networks
Bibliographic Data
| ID | 4598070 |
|---|---|
| Authors | Daan Westra (0000-0003-1791-3626, Maastricht University, corresponding author), Peter Makai (0000-0002-5332-1751, Erasmus University Rotterdam), Ron Kemp (0000-0003-2259-7541, Erasmus University Rotterdam) |
| Year | 2024 |
| Volume | 340 |
| Pages | 116351 |
| Publication date | 2024-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science & Medicine (JOURNAL) |
| Journal identifiers | ISSN: 0277-9536 • E-ISSN: 1873-5347 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socscimed.2023.116351 |
| PMID | 38043439 |
| OpenAlex | W4388294980 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Healthcare is increasingly delivered through networks of organizations. Well-structured patient sharing networks are known to have positive associations with the quality of delivered services. However, the drivers of patient sharing relations are rarely studied explicitly. In line with recent developments in network and integration theorizing, we hypothesize that structural and social network ties between organizations are uniquely associated with a higher number of shared patients. We test these hypotheses using a Bayesian zero-dispersed Poisson regression model within the Additive and Multiplicative Effects Framework based on administrative claims data from 732,122 dermatological patients from the Netherlands in 2017. Our results indicate that 2.6% of all dermatological patients are shared and that the amount of shared patients is significantly associated with structural (i.e. emergency contracts) and social (i.e. shared physicians) ties between organizations, confirming our hypotheses. We also find some evidence that patients are shared with more capable organizations. Our findings highlight the role of relational ties in the way health services are delivered. At the same time, they also raise some potential anti-trust concerns
Business · Communication source · Health care · Interpersonal ties · Political science · Public relations · Quality (philosophy · Social media · Social network (sociolinguistics · Strong ties · Computer Science · Healthcare Systems and Technology · Patient Satisfaction in Healthcare · Patient-Provider Communication in Healthcare · Psychology · Social Psychology
Network Analysis in Public Health
Hospital Volume and Surgical Mortality in the United States
Bilinear Mixed-Effects Models for Dyadic Data
Principal component analysis
Centrality in social networks conceptual clarification
Social Network Analysis of Patient Sharing Among Hospitals in Orange County, California
The Structure of Critical Care Transfer Networks
Quality of Care and Interhospital Collaboration
Physician Patient-sharing Networks and the Cost and Intensity of Care in US Hospitals
Inferential Approaches for Network Analysis
Coopetition in health care
Integrating network theory into the study of integrated healthcare
Effect of hospital referral networks on patient readmissions
Revenue, relationships and routines
Understanding specialist sharing
Results from using a new dyadic-dependence model to analyze sociocentric physician networks
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |