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Published on: June 29, 2021
Evaluation of an Infection surveillance program in residential aged care facilities in Victoria, Australia
Eliza Watson1, Arjun Rajkhowa2, David Dunt3
1Doherty Institute for Infection and Immunity, Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, 792 Elizabeth St, Melbourne, VIC, 3000, Australia.
Background:
Infection surveillance is a key element of infection prevention and control activities in the aged care sector. In 2017, a standardised infection surveillance program was established for public residential aged care services in Victoria, Australia. This program will soon be expanded to a national level for all Australian residential aged care facilities. It has not been evaluated since its inception.
Methods:
The current study aimed to evaluate the Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre Aged Care Infection Indicator Program (ACIIP), to understand its performance and functionality. A mixed methods evaluation was performed using the Updated Guidelines for Evaluating Public Health Surveillance Systems developed by the United States Centers for Disease Control and Prevention as a framework. VICNISS staff who coordinate and manage the ACIIP were invited to participate in interviews. Residential aged care staff who use the program were invited to participate in a survey. Document analysis was also performed.
Results:
Four VICNISS staff participated in the interviews and 38 aged care staff participated in the survey. The ACIIP is stable and able to be adapted quickly to changing definitions for infections. Users found the system relatively easy to use but have difficulties after the long intervals between data entry year on year. VICNISS staff provide expert guidance which benefits users. Users appreciated the benefit of participating and many use the data for improving local practice.
Conclusions:
The ACIIP is a usessful state-wide infection surveillance program for aged care. Further development of data validation, IT system capacity and models for education and user support will be required to support future scalability.
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