Evidence map›Paper›PMID 36045365›Full record

ArticleBMC health services research2022

Analyzing annual changes in network structures of a social media application-based information-sharing system in a Japanese community.

Junji Haruta, Sho Tsugawa, Kazunari Ogura

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Junji HarutaMedical Education Center, School of Medicine, Keio University, 35 Shinanomachi, Shinjukuku, Tokyo, 160-8582, Japan. junharujp@keio.jp.ORCID http://orcid.org/0000-0003-4176-7665
Sho TsugawaDivision of Information Engineering, Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan.
Kazunari OguraHachinohe Family Clinic, Hachinohe, Japan.
Keio University · JPUniversity of Tsukuba · JP

Funding

JPSS KAKENHI Grand-in Aid for Scientific Research (B) 22H03320JSPS KAKENHI Grant-in-Aid for Young Scientists (B) JP19K19377
6 · The paper itself

Abstract

backgroundUnderstanding the evolution of social network services (SNSs) can provide insights into the functions of interprofessional information-sharing systems. Using social network analysis, we aimed to analyze annual changes in the network structure of SNS-based information sharing among healthcare professionals over a 3-year period in Japan.

methodsWe analyzed data on SNS-based information sharing networks with online message boards for healthcare professionals for 2018, 2019, and 2020 in a Japanese community. These networks were created for each patient so that healthcare professionals could post and view messages on the web platform. In the social network analysis (SNA), healthcare professionals registered with a patient group were represented as nodes, and message posting and viewing relationships were represented as links. We investigated the structural characteristics of the networks using several measures for SNA, including reciprocity, assortativity and betweenness centrality, which reflect interrelational links, the prevalence of similar nodes with neighbors, and the mediating roles of other nodes, respectively. Next, to compare year-to-year trends in networks of patients overall, and between receiving nursing care levels 1-3 (lighter care requirement) and levels 4-5 (heavier care requirement), we described the annual structural differences and analyzed each measure for SNA using the Steel-Dwass test.

resultsAmong 844, 940, and 1063 groups in each year, groups for analysis in care levels 1-3/4-5 were identified as 106/135, 79/89, and 57/57, respectively. The overall annual assessment showed a trend toward increased diameter and decreased density, but the differences were not significant. For those requiring care levels 1-3, assortativity decreased significantly, while for those requiring care levels 4-5, reciprocity decreased and betweenness centrality increased significantly. No significant differences were found in the other items. DISCUSSION: This study revealed that the network of patients with a lighter care requirement had more connections consisting of nodes with different links, whereas the network of patients with a heavier care requirement had more fixed intermediary roles and weaker interrelationships among healthcare professionals. Clarifying interprofessional collaborative mechanisms underlying development patterns among healthcare professionals can contribute to future clinical quality improvement.

Indexed as

Social MediaHealth PersonnelHumansInformation DisseminationJapanAnnual surveyCommunity health servicesInterprofessional collaborationJapanSocial network analysis

Identifiers

PMID36045365
PMCPMC9429297
OpenAlexW4293764989

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LicenceCC BY
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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 OpenQuestion graph.