Evidence mapPaperPMID 39736561Full record

ArticleBMC public health2024

Network characteristics of referrals for chronic disease patients: results from hierarchical medical reform in Shenzhen, China.

Fangfang Gong, Junxia Luo, Zhihong Wang, Ping Tang, Guangyu Hu, Ying Zhou, Hanqun Lin

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
field-weighted citation impact
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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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fangfang GongDepartment of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, Shenzhen, 518001, China.
Junxia LuoDepartment of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, Shenzhen, 518001, China.
Zhihong WangDepartment of Information Technology, Shenzhen Luohu Hospital Group Luohu People's Hospital, Shenzhen, 518001, China.
Ping TangLuohu Clinical College of Shantou University Medical College (Shenzhen Luohu People's Hospital), Shenzhen, 518001, China.
Guangyu HuInstitute of Medical Information, Centre for Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Ying ZhouDepartment of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, Shenzhen, 518001, China. zyzy6565@163.com.
Hanqun LinDepartment of Hospital Group Office, Shenzhen Luohu Hospital Group Luohu People's Hospital, Shenzhen, 518001, China. lhyyjituan@163.com.

Funding

National Natural Science Foundation of China,China 72374214
6 · The paper itself

Abstract

backgroundThe Chinese government has introduced a series of hierarchical medical policies to ensure continuity of care, but referrals remain difficult to implement effectively. This study aimed to evaluate the chronic disease referral network and explore the problems associated with the specific implementation of referrals.

methodsThis study was a repeated cross-sectional study of monthly data collected between August 2017 and December 2023 in Luohu district, Shenzhen, China. Social network analysis was used to construct a referral network for chronic disease patients. Density, degree centrality, and betweenness centrality were calculated to assess the relationships and status among different levels of care and their trends.

resultsOver seven years, 104,682 chronic disease patients were referred, with a predominance of downward referrals. The number of upward referrals (Z = 2.5776, P

conclusionsThe referral network has a vertical flow pattern conducive to the division of labour, cooperation, and resource integration of medical institutions in the region, and a hierarchical medical order is taking shape. However, poor communication between secondary hospitals and other institutions, high demand for data informatisation, and the gap between private and public PCFs may hinder further progress.

Indexed as

Health Care ReformReferral and ConsultationChinaChronic DiseaseContinuity of Patient CareCOVID-19Cross-Sectional StudiesFemaleHumansPrimary Health CareSocial Network AnalysisHierarchical medical systemMedical consortiumNetwork analysisPrimary careReferral system

Identifiers

PMID39736561
PMCPMC11684238

What Socratic holds

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LicenceCC BY-NC-ND
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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.