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Background: Challenges with limited single rooms and isolation facilities in hospitals have created an opportunity for temporary, portable isolation technology. This article describes the process used to evaluate the prototype of a new isolation room (RediRoom; CareStrategic Ltd, Brisbane, Queensland, Australia) that can be installed in existing hospital ward areas. Our aim is to assess the functionality of this new room, and in so doing, to evaluate the methods used., Methods: We employed a mixed-methods approach involving video recording, interviews, and objective temperature and humidity measurements within a crossover interventional study. Participants completed a range of clinical activities in the RediRoom and a control. The setting for the study was a clinical ward environment at an Australian higher education institution., Results: There were similarities between the RediRoom and the control using a range of measures. The time taken to complete a range of clinical activities in both rooms was broadly consistent. Network analysis also suggested broad similarities in the movement of nurses undertaking activities in both rooms., Conclusion: Our study attempted to simulate a clinical environment and clinical activities and provide the best possible comparison by completing activities sequentially, with immediate feedback to researchers. Video recording added significant value to the process because it provided some objectivity. A form of reflexive ethnography with participants could be of value in similar studies in the future., (Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Background: Effective clinical governance is necessary to support improvements in infection control. Historically, the focus has been on ensuring that infection control practice and policy is based on evidence, and that there is use of surveillance and auditing for self-regulation and performance feedback. There has been less exploration of how contextual and organizational factors mediate an infection preventionists (IP's) ability to engage with evidence-based practice and enact good clinical governance., Methods: A cross sectional Web-based survey of IPs in Australia and New Zealand was undertaken. Questions focused on engagement in evidence-based practice and perceptions about the context, culture, and leadership within the infection control team and organization. Responses were mapped against dimensions of Scally and Donaldson's clinical governance framework., Results: Three hundred surveys were returned. IPs appear well equipped at an individual level to undertake evidence-based practice. The most serious set of perceived challenges to good clinical governance related to a lack of leadership or active resistance to infection control within the organization. Additional challenges included lack of information technology solutions and poor access to specialist expertise and financial resources., Conclusions: Focusing on strengthening contextual factors at the organizational level that otherwise undermine capacity to implement evidence-based practice is key to sustaining current infection control successes and promoting further practice improvements., (Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. All rights reserved.)

Background: This article describes infection prevention and control professionals' (ICPs') staffing levels, patient outcomes, and costs associated with the provision of infection prevention and control services in Australian hospitals. A secondary objective was to determine the priorities for infection control units., Methods: A cross-sectional study design was used. Infection control units in Australian public and private hospitals completed a Web-based anonymous survey. Data collected included details about the respondent; hospital demographics; details and services of the infection control unit; and a description of infection prevention and control-related outputs, patient outcomes, and infection control priorities., Results: Forty-nine surveys were undertaken, accounting for 152 Australian hospitals. The mean number of ICPs was 0.66 per 100 overnight beds (95% confidence interval, 0.55-0.77). Privately funded hospitals have significantly fewer ICPs per 100 overnight beds compared with publicly funded hospitals (P < .01). Staffing costs for nursing staff in infection control units in this study totaled $16,364,392 (mean, $380,566). Infection control units managing smaller hospitals (<270 beds) identified the need for increased access to infectious diseases or microbiology support., Conclusion: This study provides valuable information to support future decisions by funders, hospital administrators, and ICPs on service delivery models for infection prevention and control. Further, it is the first to provide estimates of the resourcing and cost of staffing infection control in hospitals at a national level., (Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Background: Clostridium difficile infection (CDI) possibly extends hospital length of stay (LOS); however, the current evidence does not account for the time-dependent bias, ie, when infection is incorrectly analyzed as a baseline covariate. The aim of this study was to determine whether CDI increases LOS after managing this bias., Methods: We examined the estimated extra LOS because of CDI using a multistate model. Data from all persons hospitalized >48 hours over 4 years in a tertiary hospital in Australia were analyzed. Persons with health care-associated CDIs were identified. Cox proportional hazards models were applied together with multistate modeling., Results: One hundred fifty-eight of 58,942 admissions examined had CDI. The mean extra LOS because of infection was 0.9 days (95% confidence interval: -1.8 to 3.6 days, P = .51) when a multistate model was applied. The hazard of discharge was lower in persons who had CDI (adjusted hazard ratio, 0.42; P < .001) when a Cox proportional hazard model was applied., Conclusion: This study is the first to use multistate models to determine the extra LOS because of CDI. Results suggest CDI does not significantly contribute to hospital LOS, contradicting findings published elsewhere. Conversely, when methods prone to result in time-dependent bias were applied to the data, the hazard of discharge significantly increased. These findings contribute to discussion on methods used to evaluate LOS and health care-associated infections., (Copyright © 2014 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.)