https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24967 Wed 11 Apr 2018 16:17:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13938 Wed 11 Apr 2018 15:05:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:9282 Wed 11 Apr 2018 12:03:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39037 Wed 06 Mar 2024 15:29:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47946 Wed 06 Mar 2024 14:59:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37629 Wed 03 Mar 2021 12:40:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52010 Tue 26 Sep 2023 11:37:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54819 Thu 14 Mar 2024 14:46:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1381 Sat 24 Mar 2018 08:28:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20627 Sat 24 Mar 2018 07:55:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29885 Sat 24 Mar 2018 07:33:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31069 48 h and who acquired a HAUTI were included. Findings: From the 162,503 eligible patient admissions, 2821 (1.73%) acquired a HAUTI. SEM showed that the proposed model had acceptable fit indices for the combined sample (GFI = 1.00; AGFI = 1.00; NFI = 1.00; CFI = 1.00; RMSEA = 0.000). The main findings showed that age of patient had a direct association with days from admission to infection and with days from infection to discharge. Patient comorbidity had direct links to the variables days from admission to infection and days from infection to discharge. Multi-group analysis indicated that the age of male patients was more influential on the factor days from admission to infection when compared to female patients. Furthermore, the number of comorbidities was significantly more influential on days from admission to infection in male patients than in female patients. Conclusion: As the first published study to use SEM to explore a healthcare-associated infection and the predictors of days from infection to discharge in hospital, we can confirm that accounting for the timing of infection during hospitalization is important and that patient comorbidity influences the timing of infection.]]> Sat 24 Mar 2018 07:24:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53412 Mon 27 Nov 2023 09:41:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25332 Mon 16 Apr 2018 14:32:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35457 Fri 16 Aug 2019 15:02:38 AEST ]]>