ArticleTranslational behavioral medicine2018
The nature and scope of patient-sharing network research: a novel, important area for network science.
Article in Translational behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Analysis of the patient-sharing network in hypertension management: a retrospective study in China.BMJ open · 2025Article
- Tracing the potential of networks to improve community cancer care: an in-depth single case study.Implementation science communications · 2021Article
- How Specialist Aftercare Impacts Long-Term Readmission Risks in Elderly Patients With Metabolic, Cardiac, and Chronic Obstructive Pulmonary Diseases: Cohort Study Using Administrative Data.JMIR medical informatics · 2020Article
- A network-based method with privacy-preserving for identifying influential providers in large healthcare service systems.Future generations computer systems : FGCS · 2020Article
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3 authors.
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Abstract
A robust literature exists that draws on social network approaches to understand connections among individuals, and healthcare and behavior-related implications. This article offers commentary on the scoping review conducted by Dugoff et al. that examines "patient-sharing" networks, their characteristics, and various methodological approaches. The scoping review conducted by Dugoff et al. examines the characteristics and methods employed in patient-sharing network studies. It identified the most common measures used in patient-sharing network research, as well as theories used in patient-sharing network studies. Dugoff et al. also identified many studies that examined healthcare utilization considerations for patient sharing. Understanding the connections between providers and the flow of patients between providers could lend insight into barriers and enablers to efficient healthcare systems.
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