To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This study examines how designers’ experiences with text-to-image GenAI relate to their interaction patterns during a design hackathon. Survey data and two contrasting cases show that positive experiences align with shifting prompts and broader command use as designers move from exploration to refinement, while negative experiences correlate with fixed prompting and limited variations. The study demonstrates how interaction data can inform adaptive GenAI support across design phases, offering opportunities to enhance both practice and tool development.
Heating, ventilation, and air conditioning (HVAC) systems can modulate the risk of respiratory virus transmission. In congregate living settings (CLS), variability in the quality of this infrastructure presents an improvement opportunity.
Methods:
We performed a cross-sectional study of the air handling units (AHU) of HVAC systems across a network of CLS to identify the most common problems and specific opportunities to improve ventilation. A third-party expert performed systematic HVAC assessments, which were analyzed based on presence and function of key AHU components to determine their association with air changes per hour (ACH) using a multivariable linear regression model.
Results:
Across 15 participating CLS, the median ACH was 3.3 (IQR = 10.4) in common areas, 3.5 (IQR = 12.6) in resident rooms, and 6.6 (IQR = 9.7) in resident bathrooms. Closed outside air dampers and fans turned off was associated with decreased ACH in resident rooms (−9.5 ACH, 95% CI, −0.2 to −18.9) and resident washrooms (−7.0 ACH, 95% CI, −1.3 to −12.7). The absence of ducted air source was associated with decreased ACH in resident rooms (−12.2 ACH, 95% CI, −1.0 to −23.5).
Conclusions:
Across 15 CLS, we identified readily actionable targets for improvements to ventilation. Based on our findings, we propose assessment criteria to optimize the performance of existing AHU. Prospective studies evaluating the impact of a standardized approach to improving AHU on safety of CLS residents are needed.
To assess preparedness for Candida auris in Canadian hospitals.
Design:
Cross-sectional survey.
Setting:
Canadian Nosocomial Infection Surveillance Program (CNISP) hospitals.
Methods:
In June 2024, surveys were e-mailed to the infection prevention and control departments of 109 CNISP hospitals and their 33 microbiology laboratories. The surveys assessed policies for patient screening/management and laboratory processes supporting C. auris transmission prevention. Results were compared to a similar 2018 survey.
Results:
All 109 hospitals and 32/33 laboratories responded. Most hospitals had policies for admission screening (80%, 87/109) and policies/defined plans for post-exposure screening (95%, 104/109). Policy presence increased from 18% to 73% in 56 hospitals completing both 2018 and 2024 surveys (P < 0.001). Among hospitals with admission screening policies, 69% (60/87) screened for recent out-of-country hospitalization. All but one hospital implemented transmission-based precautions for cases; 70% (76/109) continued precautions indefinitely. Overall, 94% (99/105; excluding hospitals with exclusively private rooms) and 55% (60/109) of hospitals screened roommates and wardmates, respectively. Frequency and timing of screening and policies regarding precautions for exposed patients varied. All hospitals used axilla and groin swabs, at minimum, for screening. Most (81%, 26/32) laboratories identified all clinically significant Candida isolates to species level, increasing from 48% to 85% (P < 0.001) in the 27 laboratories completing both 2018 and 2024 surveys. Twenty-four laboratories (75%) had standard operating procedures for processing screening specimens; 96% (23/24) used direct plating onto chromogenic agar.
Conclusions:
Despite progress in C. auris preparedness, areas for improvement remain. Variability in practice may be related to evidence gaps and resource constraints.
Text-to-Image Generative AI (GenAI) platforms offer designers new opportunities for inspiration-seeking and concept generation, marking a significant shift from traditional visualisation approaches like sketching. This study investigates how designers work with text-to-image GenAI during inspiration-seeking and ideation, aiming to characterise designers’ behaviours through designer-GenAI interaction data. Analysis of 503 prompts by four designers engaging in a GenAI supported design task identifies two distinct behaviours: exploratory, characterised by short, diverse prompts with low similarity; and narrowing, characterised by longer, high-similarity prompts used with detail focused variation functions. The findings highlight the value of GenAI interaction data to reveal patterns in designers’ behaviours, offering insights into how these tools support designers and inform best practices.
This study explores the application of image generative AI to support design process by creating inspiration boards. Through an evaluative study, we compare the diversity, quantity, fidelity, and ambiguity of boards generated by image generative AI and traditional methods. The results highlight how generative AI produces a quantity of images, it exhibits limited diversity compared to traditional methods. This suggests a tendency for supporting interpolation rather than extrapolation of ideas, in turn providing insights on best practice and into the optimal stage for its application.
To implement and evaluate a point-of-care (POC) molecular testing platform for respiratory viruses in congregate living settings (CLS).
Design:
Prospective quality improvement study.
Setting:
Seven CLS, including three nursing homes and four independent-living facilities.
Participants:
Residents of CLS.
Methods:
A POC platform for COVID-19, influenza A and B, and respiratory syncytial virus was implemented at participating CLS from December 1, 2022 to April 15, 2023. Residents with respiratory symptoms underwent paired testing, with respiratory specimens tested first with the POC platform and then delivered to an off-site laboratory for multiplex respiratory virus panel (MRVP) polymerase chain reaction (PCR) as per standard protocol. Turn-around time and diagnostic accuracy of the POC platform were compared against MRVP PCR. In an exploratory analysis, time to outbreak declaration among participating CLS was compared against a convenience sample of 19 CLS that did not use the POC platform.
Results:
A total of 290 specimens that underwent paired testing were included. Turn-around time to result was significantly shorter with the POC platform compared to MRVP PCR, with median difference of 36.2 hours (interquartile range 21.8–46.4 hours). The POC platform had excellent diagnostic accuracy compared to MRVP PCR, with area under the curve statistic of .96. Time to outbreak declaration was shorter in CLS that used the POC platform compared to CLS that did not.
Conclusion:
Rapid POC testing platforms for respiratory viruses can be implemented in CLS, with high diagnostic accuracy, expedited turn-around times, and shorter time to outbreak declaration.
Older adults residing in congregate living settings (CLS) such as nursing homes and independent living facilities remain at increased risk of morbidity and mortality from coronavirus disease 2019. We performed a prospective multicenter study of consecutive severe acute respiratory coronavirus virus 2 (SARS-CoV-2) exposures to identify predictors of transmission in this setting.
Methods:
Consecutive resident SARS-CoV-2 exposures across 17 CLS were prospectively characterized from 1 September 2022 to 1 March 2023, including factors related to environment, source, and exposed resident. Room size, humidity, and ventilation were measured in locations where exposures occurred. Predictors were incorporated in a generalized estimating equation model adjusting for the correlation within CLS.
Results:
Among 670 consecutive exposures to SARS-CoV-2 across 17 CLS, transmission occurred among 328 (49.0%). Increased risk was associated with nursing homes (odds ratio (OR) = 90.8; 95% CI, 7.8–1047.4), Jack and Jill rooms (OR = 2.2; 95% CI, 1.3–3.6), from source who was pre-symptomatic (OR = 11.2; 95% CI, 4.1–30.9), symptomatic (OR = 6.5; 95% CI, 1.4–29.9), or rapid antigen test positive (OR = 35.6; 95% CI, 5.6–225.6), and in the presence of secondary exposure (OR = 6.3; 95% CI, 1.6–24.0). Exposure in dining room was associated with reduced risk (OR = 0.02; 95% CI, 0.005–0.08) as was medium room size (OR = 0.3; 95% CI, 0.2–0.6). Recent vaccination of exposed resident (OR = 0.5; 95% CI, 0.3–1.0) and increased ventilation of room (OR = 0.9; 95% CI, 0.8–1.0) were marginally associated with reduced risk.
Conclusion:
Prospective assessment of SARS-CoV-2 exposures in CLS suggests that source characteristics and location of exposure are most predictive of resident transmission. These findings can inform risk assessment and further opportunities to prevent transmission in CLS.
We conducted a tabletop exercise on influenza outbreak preparedness that engaged a large group of congregate living settings (CLS), with improvements in self-reported knowledge and readiness. This proactive approach to responding to communicable disease threats has potential to build infection prevention and control capacity beyond COVID-19 in the CLS sector.
The ethical implications of infection prevention and control (IPAC) are recognized, yet a framework to guide the application of ethical principles is lacking. We adapted an ethical framework to provide a systematic approach for fair and transparent IPAC decision making.
Methods:
We conducted a literature search for existing ethical frameworks in IPAC. Working with practicing healthcare ethicists, an existing ethical framework was adapted for use in IPAC. Indications were developed for application to practice, with integration of ethical principles and process conditions specifically relevant to IPAC. Practical refinements were made to the framework based on end-user feedback and application to 2 real-world situations.
Results:
In total, 7 articles were identified that discussed ethical principles within IPAC, but none proposed a systematic framework to guide ethical decision making. The adapted framework, named the Ethical Infection Prevention and Control (EIPAC) framework, takes the user through 4 intuitive and actionable steps, centering key ethical principles that facilitate reasoned and just decision making. In applying the EIPAC framework to practice, weighing the predefined ethical principles in different scenarios was a challenge. Although no hierarchy of principles can apply to all contexts in IPAC, our experience highlighted that the equitable distribution of benefits and burdens, and the proportional impacts of options under review, are particularly important considerations for IPAC.
Conclusions:
The EIPAC framework can serve as an actionable ethical principles-based decision-making tool for use by IPAC professionals encountering complex situations in any healthcare context.
Extracorporeal membrane oxygenation (ECMO) has been widely used in the care of patients with respiratory failure from coronavirus disease 2019 (COVID-19). We characterized bloodstream infections (BSIs) and ventilator-associated pneumonias (VAPs) in COVID-19 patients supported with ECMO, and we investigated their impact on patient outcomes.
Design:
Retrospective cohort study from March 1, 2020, to June 30, 2021.
Setting:
Academic tertiary-care referral center.
Patients:
Consecutive adult patients admitted for COVID-19 who received ECMO.
Methods:
We identified BSIs and VAPs and described their epidemiology and microbiology. Cumulative antimicrobial use and the specific management of BSIs were determined. Multivariate time-dependent Cox proportional hazards models were constructed to evaluate the impact of BSIs and VAPs on mortality, controlling for age, receipt of COVID-19–specific therapeutics, and new renal replacement therapy.
Results:
We identified 136 patients who received ECMO for COVID-19 pneumonia during the study period. BSIs and VAPs occurred in 81 patients (59.6%) and 93 patients (68.4%), respectively. The incidence of BSIs was 29.5 per 1,000 ECMO days and increased with duration of ECMO cannulation. Enterococci, Enterobacterales, and Staphylococcus aureus were the most common causes of BSIs, whereas S. aureus, Klebsiella species, and Pseudomonas aeruginosa comprised the majority of VAPs. Mean antibiotic use comprised 1,031 days of therapy per 1,000 ECMO days (SD, 496). We did not detect an association between BSIs or VAPs and mortality.
Conclusions:
BSIs and VAPs are common in COVID-19 ECMO-supported patients. Efforts to optimize their diagnosis, prevention, and management should be prioritized.
Antibiotic use varies widely between hospitals, but the influence of antimicrobial stewardship programs (ASPs) on this variability is not known. We aimed to determine the key structural and strategic aspects of ASPs associated with differences in risk-adjusted antibiotic utilization across facilities.
Design
Observational study of acute-care hospitals in Ontario, Canada
Methods
A survey was sent to hospitals asking about both structural (8 elements) and strategic (32 elements) components of their ASP. Antibiotic use from hospital purchasing data was acquired for January 1 to December 31, 2014. Crude and adjusted defined daily doses per 1,000 patient days, accounting for hospital and aggregate patient characteristics, were calculated across facilities. Rate ratios (RR) of defined daily doses per 1,000 patient days were compared for hospitals with and without each antimicrobial stewardship element of interest.
Results
Of 127 eligible hospitals, 73 (57%) participated in the study. There was a 7-fold range in antibiotic use across these facilities (min, 253 defined daily doses per 1,000 patient days; max, 1,872 defined daily doses per 1,000 patient days). The presence of designated funding or resources for the ASP (RRadjusted, 0·87; 95% CI, 0·75–0·99), prospective audit and feedback (RRadjusted, 0·80; 95% CI, 0·67–0·96), and intravenous-to-oral conversion policies (RRadjusted, 0·79; 95% CI, 0·64–0·99) were associated with lower risk-adjusted antibiotic use.
Conclusions
Wide variability in antibiotic use across hospitals may be partially explained by both structural and strategic ASP elements. The presence of funding and resources, prospective audit and feedback, and intravenous-to-oral conversion should be considered priority elements of a robust ASP.
The relationship between hospital antibiotic use and antibiotic resistance is poorly understood. We evaluated the association between antibiotic utilization and resistance in academic and community hospitals in Ontario, Canada.
METHODS
We conducted a multicenter observational ecological study of 37 hospitals in 2014. Hospital antibiotic purchasing data were used as an indicator of antibiotic use, whereas antibiotic resistance data were extracted from hospital indexes of resistance. Multivariate regression was performed, with antibiotic susceptibility as the primary outcome, antibiotic consumption as the main predictor, and additional covariates of interest (ie, hospital type, laboratory standards, and patient days).
RESULTS
With resistance data representing more than 90,000 isolates, we found the increased antibiotic consumption in defined daily doses per 1,000 patient days (DDDs/1,000 PD) was associated with decreased antibiotic susceptibility for Pseudomonas aeruginosa (−0.162% per DDD/1,000 PD; P=.119). However, increased antibiotic consumption predicted increased antibiotic susceptibility significantly for Escherichia coli (0.173% per DDD/1,000 PD; P=.005), Klebsiella spp (0.124% per DDD/1,000 PD; P=.004), Enterobacter spp (0.194% per DDD/1,000 PD; P=.003), and Enterococcus spp (0.309% per DDD/1,000 PD; P=.001), and nonsignificantly for Staphylococcus aureus (0.012% per DDD/1,000 PD; P=.878). Hospital type (P=.797) and laboratory standard (P=.394) did not significantly predict antibiotic susceptibility, while increased hospital patient days generally predicted increased organism susceptibility (0.728% per 10,000 PD; P<.001).
CONCLUSIONS
We found that hospital-specific antibiotic usage was generally associated with increased, rather than decreased hospital antibiotic susceptibility. These findings may be explained by community origins for many hospital-diagnosed infections and practitioners choosing agents based on local antibiotic resistance patterns.
Infect Control Hosp Epidemiol 2017;38:1457–1463
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.