Evidence map›Paper›PMID 40081996›Full record

ArticleBMJ open2025

Analysis of the patient-sharing network in hypertension management: a retrospective study in China.

Zhiwen Gong, Ruilin Wang, Huajie Hu, Tao Huang, Huangqianyu Li, Sheng Han, Luwen Shi, Xiaodong Guan

Abstract read
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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhiwen GongDepartment of Pharmacy Administration and Clinical Pharmacy, Peking University, Beijing, China.
Ruilin WangDepartment of Pharmacy Administration and Clinical Pharmacy, Peking University, Beijing, China.
Huajie HuDepartment of Pharmacy Administration and Clinical Pharmacy, Peking University, Beijing, China.
Tao HuangDepartment of Pharmacy Administration and Clinical Pharmacy, Peking University, Beijing, China.
Huangqianyu LiInternational Research Center for Medicinal Administration, Peking University, Beijing, China.
Sheng HanInternational Research Center for Medicinal Administration, Peking University, Beijing, China.
Luwen ShiDepartment of Pharmacy Administration and Clinical Pharmacy, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-2683-6685
Xiaodong GuanDepartment of Pharmacy Administration and Clinical Pharmacy, Peking University, Beijing, China guanxiaodong@pku.edu.cn.ORCID http://orcid.org/0000-0002-1290-3827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the robustness of the patient-sharing network and validate the association between strength and persistence of physicians' relationships in China. DESIGN, SETTING AND

participantsWe conducted a patient-sharing network analysis to describe the persistence of patient-sharing relationships and logistic regression to analyse factors associating with the persistence of patient-sharing relationships in the Yinzhou Health Information System from 1 January 2010 to 31 December 2018; all outpatient records that had a hypertension diagnosis were included in this study. OUTCOME MEASURES: The persistence ratio was defined as the proportion of the patient-sharing relationships in a given year that continued to exist in the following year, the 1-, 2- and 3-year persistence to test the robustness of the findings.

resultsThis study included 3916 physicians from 42 public healthcare facilities in Yinzhou. The 1-year persistence ratio fluctuated around 80%, and the 3-year persistence ratio was around 60% over the study period. The strength of the relationship, tie characteristics and physician specialty were important factors associating with the persistence of the relationships. The persistence of the relationships increased significantly as the strength of the relationships increased (for relationships with strength ∈ [3, 5), OR=3.987, 95% CI 3.896 to 4.08; for relationships with strength ∈ [5, 7), OR=6.379, 95% CI 6.147 to 6.626; and for relationships with strength ∈ [7, 9), OR=8.373, 95% CI 7.941 to 8.829). Physicians from the same healthcare institution were more likely to form ties that persisted for at least 1 year compared with physicians from different institutions (OR=1.510, 95% CI 1.480 to 1.540).

conclusionsOur study showed that physicians frequently formed relationships with other physicians through sharing patients in Yinzhou, China, and these relationships had similar rates of persistence to studies conducted in developed countries, which indicated that findings of social network analyses conducted in developed countries still hold value in developing countries.

Indexed as

HypertensionPhysician-Patient RelationsAdultChinaFemaleHumansLogistic ModelsMaleMiddle AgedPhysiciansRetrospective StudiesChinaKnowledgePrimary CareSocial Interaction

Identifiers

PMID40081996
PMCPMC11907042

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.