• 1. Department of Pharmacy Administration and Clinical School of Pharmaceutical Sciences, Peking University, Beijing 100191, P. R. China;
  • 2. International Research Center for Medicinal Administration, Peking University, Beijing 100191, P. R. China;
GUAN Xiaodong, Email: guanxiaodong@pku.edu.cn
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Objective To provide a scoping review of the healthcare provider patient-sharing network. Methods PubMed, EMbase, Scopus, ProQuest, Web of Science Core Collection, ScienceDirect, SAGE, Wiley Online Library, Google Scholar, CNKI and WanFang Data databases were electronically searched to collect studies on patient-sharing network of healthcare providers from inception to July 31, 2021. Two reviewers independently screened literature, extracted data and then Arksey and O 'Malley's scoping review method was used to analyze the study. Results A total of 110 studies were included. In which, 70.0% were published in 2016 and later, 78.2% were carried out in the United States, 96.4% used secondary data, and 45.5% adopted social network analysis methods such as exponential random graph model. In terms of network characteristics, 43.6% of the studies adopted the theoretical framework of social network theory, and the network node type was mainly 1-mode, accounting for 87.3%. When constructing the physician patient-sharing networks, 64.5% of the studies had a threshold of 1 patient. We also synthesized existing studies on patient-sharing networks of healthcare providers in the light of factors of networks and related outcomes. Conclusion The studies of healthcare provider patient-sharing network have potentials to improve clinical practice and health policies. Further studies should consider adopting longitudinal design to validate evidence of study, expanding the scope of study subjects except physicians and enriching the evidence of the relationship between network and health-related outcomes.

Citation: YANG Yu, HU Huajie, HUANG Tao, GONG Zhiwen, GUAN Xiaodong, SHI Luwen. Use of patient-sharing techniques to study healthcare provider networks: a scoping review. Chinese Journal of Evidence-Based Medicine, 2023, 23(2): 197-202. doi: 10.7507/1672-2531.202206062 Copy

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