2026-10-12T05:21:08Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33811616 2026-09-15T17:39:19Z category_7 category_734 category_931 category_64 category_106 category_132 category_135 portal_5 item_type_3 month_year_09_2026

<p>Inter-rater reliability statistics.</p> Elise Hodbert (24948656) Pascal Crépey (371756) Pauline Clin (9234208) Victor Renault (4694107) Gabriel Birgand (431755) Laura Temime (171335) Medicine Biological Sciences not elsewhere classified Information Systems not elsewhere classified Cancer Science Policy Infectious Diseases Computational Biology specific research questions public health purposes modified quads tool mean total score characterize healthcare connectivity specific patient groups patient transfer data observed patient transfers understand pathogen spread facilitating pathogen spread reconstructing healthcare networks pathogen spread pathogen transmission variants ), units connected temporal modelling study findings searched pubmed realistic models rarely calculated preregistered protocol often limited october 1 nursing homes north america nine articles ieee xplore help develop fully leveraging focused mainly facility types crd42024559127 ), clearly articulating broader range anr 22 721 screened <div><p>Healthcare facilities are interconnected via patient transfers, facilitating pathogen spread. We systematically reviewed studies reconstructing patient-sharing networks. Following PRISMA 2020 guidelines and a preregistered protocol (CRD42024559127), we searched PubMed, Scopus and IEEE Xplore up to October 1, 2025. We included articles presenting networks of at least three healthcare facilities or units connected by observed patient transfers, excluding those restricted to specific patient groups. Seventy-nine articles were included from 5,721 screened, describing 50 distinct networks published across multiple disciplines. Overall confidence in study findings, assessed through a modified QuADS tool, was good (mean total score of 21/33), although precision in the description of underlying patient transfer data was often limited. Most networks were reconstructed in Europe and North America. The majority were restricted to hospitals, with nursing homes and other healthcare facilities rarely integrated, and 10 (20%) used temporal network approaches. While most articles reported descriptive statistics and network metrics, they focused mainly on density and degree (and its variants), with other metrics only rarely calculated. Only 27 (35%) articles developed mathematical models of pathogen transmission, including 12 that simulated public health interventions. Overall, this review highlights the value of patient-sharing networks to characterize healthcare connectivity and understand pathogen spread. Clearly articulating the methodological assumptions underlying network reconstruction and tailoring them to specific research questions is key to fully leveraging the reconstructed networks for public health purposes. In particular, including a broader range of facility types and more temporal modelling can help develop more realistic models of pathogen spread over these networks. This review was funded by the French National Research Agency (ANR 22-PAMR-0003).</p></div> 2026-09-15T17:39:13Z Dataset Dataset 10.1371/journal.pdig.0001718.s004 https://figshare.com/articles/dataset/_p_Inter-rater_reliability_statistics_p_/33811616 CC BY 4.0