Network analysis of intra-hospital transfers and hospital onset clostridium difficile infection.
Network analysis of intra-hospital transfers and hospital onset clostridium difficile infection.
复制标题
院内转运和院内发病艰难梭菌感染的网络分析。
DOI:
10.1111/hir.12274
复制
发表时间:
2020
影响因子:
3.8
通讯作者:
Root,Elisabeth
中科院分区:
文献类型:
--
作者:
McHaney-Lindstrom,Megan;Hebert,Courtney;Miller,Harvey;Moffatt-Bruce,Susan;Root,Elisabeth
ObjectivesTo explore how social network analysis (SNA) can be used to analyse intra‐hospital patient networks of individuals with a hospital acquired infection (HAI) for further analysis in a geographical information systems (GIS) environment.MethodsA case and control study design was used to select 2008 patients. We retrieved locational data for the patients, which was then translated into a network with the SNA software and then GIS software. Overall metrics were calculated for the SNA based on three datasets and further analysed with a GIS.ResultsThe SNA analysis compared cases to control indicating significant differences in the overall structure of the networks. A GIS visual representation of these metrics was developed, showing spatial variation across the example hospital floor.DiscussionThis study confirmed the importance that intra‐hospital patient networks play in the transmission of HAIs, highlighting opportunities for interventions utilising these data. Due to spatial variation differences, further research is necessary to confirm this is not a localised phenomenon, but instead a common situation occurring within many hospitals.ConclusionUtilising SNA and GIS analysis in conjunction with one another provided a data‐rich environment in which the risk inherent in intra‐hospital transfer networks was quantified, visualised and interpreted for potential interventions.