Korsberg Ashlee, Cornelius Sarah L, Awa Fares, O'Malley James, Moen Erika L
Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Med Care Res Rev. 2025 Jun;82(3):203-224. doi: 10.1177/10775587241304140. Epub 2024 Dec 30.
Social network analysis is the study of the structure of relationships between social entities. Access to health care administrative datasets has facilitated use of "patient-sharing networks" to infer relationships between health care providers based on the extent to which they have encounters with common patients. The structure and nature of patient-sharing relationships can reflect observed or latent aspects of health care delivery systems, such as collaboration and influence. We conducted a scoping review of peer-reviewed studies that derived patient-sharing network measure(s) in the analyses. There were 134 papers included in the full-text review. We identified and created a centralized resource of 118 measures and uncovered three major themes captured by them: , and . Researchers may use this review to inform their use of patient-sharing network measures and to guide the development of novel measures.
社会网络分析是对社会实体之间关系结构的研究。获取医疗保健管理数据集有助于利用“患者共享网络”,根据医疗保健提供者与共同患者的接触程度来推断他们之间的关系。患者共享关系的结构和性质可以反映医疗保健提供系统中观察到的或潜在的方面,如协作和影响。我们对在分析中得出患者共享网络度量的同行评审研究进行了范围综述。全文综述纳入了134篇论文。我们识别并创建了一个包含118个度量的集中资源,并揭示了它们所涵盖的三个主要主题: ,以及 。研究人员可以利用这一综述来指导他们对患者共享网络度量的使用,并指导新度量的开发。