Policy diffusion is an important element of the policy formation process. However, understanding of the micro-level interactions governing policy spread remains limited. Much of the literature focuses on macro-level proxies for intergovernmental connectivity. These proxies outline broad diffusion patterns without specifying the micro-level mechanisms that govern how individuals facilitate that diffusion. The role of stakeholders in diffusion in the policy subsystem is also poorly understood. We construct a panel dataset covering the spread of the US ecotourism programs from 1993 to 2016 to investigate how micro-level movement within stakeholder networks explains state-level policy diffusion over time. Using fixed-effects regression, we find that stakeholder movement significantly drives diffusion, acting as a mechanism of knowledge transfer. Our findings provide a more precise theoretical understanding of how policy knowledge diffuses at the micro level, empirically explain the role of policy stakeholders in diffusion, and highlight the value of citizen-science data for policy research.

Background: Antimicrobial stewardship programs (ASPs) seek to reduce the prevalence of antimicrobial-resistant and healthcare-associated infections. There are limited infectious disease (ID) physicians and pharmacists to support these ASPs, particularly in rural areas. The Veterans Health Administration has a robust telehealth program in place. Our previous work has demonstrated the feasibility of using telehealth modalities to support ASPs at rural Veterans Affairs medical centers (VAMCs) by pairing them with an ID expert from a larger, geographically distant, VAMC. This program, dubbed the Videoconference Antimicrobial Stewardship Team (VAST), emphasizes discussion of patients undergoing treatment for an active infection and additional relevant clinical topics with a multidisciplinary team at the rural VA. VAST implementation is ongoing at VAMCs. To understand and compare the qualitative differences in implementation, we used process maps to describe the VAST at 3 VAMC dyads. Methods: Team members from each dyad participated in interviews at 3, 6, and 9 months after beginning their VAST sessions. Questions addressed several aspects of VAST implementation and included identifying cases and topics to discuss; advance preparation for meetings; the frequency and general structure of VAST meetings; and documentation including workload capture. The research team used the responses to develop process maps to permit visual display and comparison of VAST implementation. Results: The first dyad began in January 2022 and the third in March 2022. The sessions had 3 phases: preparation, team meeting, and documentation of experts’ recommendations. Tasks were shared between VAST champions at the rural VAMC and the ID experts (Fig. 1). The preparation phase showed the most variation among the 3 dyads. In general, champions at the rural VA identified cases and topics for discussion that were sent to the ID expert for review. The approaches used to find cases and the type of preparatory work by the ID expert differed. Team meetings differed in both frequency and participation by professionals from the rural site. Documentation of expert recommendations processes appeared similar among the dyads. Discussion: Each of the 3 dyads implemented VAST differently. These results suggest that the overall structure of the VAST is readily adaptable and that each site tailored VAST to suit the clinical needs, workflow, and culture of their partner facility. Future work will seek to determine which aspects in the preparation, team meeting, or documentation phases are associated with successful ASPs, including assessment of quantitative and qualitative outcomes.

Disclosures: None

Background: Healthcare settings without access to infectious diseases experts may struggle to implement effective antibiotic stewardship programs. We previously described a successful pilot project using the Veterans Affairs (VA) telehealth system to form a Videoconference Antimicrobial Stewardship Team (VAST) that connected multidisciplinary teams from rural VA medical centers (VAMCs) with infectious diseases experts at geographically distant locations. VASTs discussed patients from the rural VAMC, with the overarching goal of supporting antibiotic stewardship. This project is currently ongoing. Here, we describe preliminary outcomes describing the cases discussed, recommendations made, and acceptance of those recommendations among 4 VASTs. Methods: Cases discussed at any of the 4 participating intervention sites were independently reviewed by study staff, noting the infectious disease diagnoses, recommendations made by infectious diseases experts and, when applicable, acceptance of those recommendations at the rural VAMC within 1 week. Discrepancies between independent reviewers were discussed and, when consensus could not be reached, discrepancies were discussed with an infectious diseases clinician. Results: The VASTs serving 4 different rural VAMCs discussed 96 cases involving 92 patients. Overall, infection of the respiratory tract was the most common syndrome discussed by VASTs (Fig. 1). The most common specific diagnoses among discussed cases were cellulitis (n = 11), acute cystitis (n = 11), wounds (n = 11), and osteomyelitis (n = 10). Of 172 recommendations, 41 (24%) related to diagnostic imaging or laboratory results and 38 (22%) were to change the antibiotic agent, dose, or duration (Fig. 2). Of the 151 recommendations that could be assessed via chart review, 122 (81%) were accepted within 1 week. Conclusions: These findings indicate successful implementation of telehealth to connect clinicians at rural VAMCs with an offsite infectious diseases expert. The cases represented an array of common infectious syndromes. The most frequent recommendations pertained to getting additional diagnostic information and to adjusting, but not stopping, antibiotic therapy. These results suggest that many of the cases discussed warrant antibiotics and that VASTs may use the results of diagnostic studies to tailor that therapy. The high rate of acceptance suggests that the VASTs are affecting patient care. Future work will describe VAST implementation at 4 additional VAMCs, and we will assess whether using telehealth to disseminate infectious diseases expertise to rural VAMCs supports changes in antibiotic use that align with principles of antimicrobial stewardship.

Disclosures: None

This article is part of the collaborative research project Populist Publics. Housed at Carleton University (www.carleton.ca/populistpublics), it applies a data-driven analysis of online hate networks to trace how false framings of the historical past, what we call historical misinformation, circulates across platforms, shaping the politics of the center alongside the fringes. We cull large datasets from social media platforms and run them through a variety of different programs to help visualize how harmful speech and civilizational rhetoric about race, ethnicity, immigration, multiculturalism, gender equality, and LGBTQ+ rights are circulated by far-right groups across borders, noting specifically when and how they are taken up in the mainstream as legitimate discourse. Our interest is in how the distortion of the historical record is used to build alternative collective memories of the past so as to undermine minority rights and cultures in the present. We began with a basic question: To what extent is this actually new? As much as the atomized publics of our current day create ideal conditions for radical ideas to fester and circulate, it was obvious to us that we needed to look for linkages across time, drawing on interdisciplinary methods from the fields of history, media and communication, and data science to identify the tactics, strategies, and repertoires among such groups and individuals. By analyzing German-Canadian relations in particular, what follows is a first attempt to piece together some of these connections, with a focus on far-right hate groups—homegrown and imported—in the settler colonial project that is today's Canada.

Non-communicable diseases disproportionately affect African migrants from sub-Saharan Africa living in high-income countries (HICs). Evidence suggests this is largely driven by forces that include migration, globalisation of unhealthy lifestyles (poor diet, physical inactivity and smoking), unhealthy food environments, socio-economic status and population ageing. Changes in lifestyle behaviours that accompany migration are exemplified primarily by shifts in dietary behaviours from more traditional diets to a diet that incorporates that of the host culture, which promotes the development of obesity, diabetes, hypertension and CVD. The current paper presents a critical analysis of dietary change and how this is influenced by the food environment and the socio-economic context following migration. We used a food systems framework to structure the discussion of the interaction of factors across the food system that shape food environments and subsequent dietary changes among African migrant populations living in HICs.

On April 30, 2021, a total of 45 died and 112 were injured in a crowd crush at a religious festival on Mount Meron, Israel. Unlike a bomb blast, building collapse, mass shooting, or stampede, the incident lacked a dramatic, noticeable trigger and may be termed a “silent mass casualty incident (MCI).” This may have resulted in a slight delay in response. Magen David Adom (MDA)—Israel’s National Emergency Medical Services Organization—was the main prehospital response to the MCI. MDA’s intense planning, organization of medical infrastructure, and on-site MCI drill before the event allowed for the rapid, coordinated treatment and evacuation of casualties by ambulance and helicopter. The use of volunteers facilitated an effective response to the event. A “rolling reinforcement” system of ambulances helped treat and transport those at the scene while placing staff at stations throughout the country to serve routine emergency calls.

To investigate factors that influence antibiotic prescribing decisions, we interviewed 49 antibiotic stewardship champions and stakeholders across 15 hospitals. We conducted thematic analysis and subcoding of decisional factors. We identified 31 factors that influence antibiotic prescribing decisions. These factors may help stewardship programs identify educational targets and design more effective interventions.

Background: The NHSN Antibiotic Resistance (AR) Option can serve as a useful tool for tracking antibiotic-resistant infections and can aid in the development of inpatient antibiograms. We recently described the frequency of antibiotic suppression in NHSN AR Option data. In this analysis, we describe the effects of suppression on practical uses of the NHSN AR Option, specifically selected agent antibiogram development, and detection of reportable conditions. Methods: Antibiotic susceptibility data were collected from the NHSN AR Option and commercial automated antimicrobial susceptibility testing instruments (cASTI) from 3 hospital networks. Data were obtained from January 1, 2017, to December 31, 2018. The clinical susceptibility data for third-generation cephalosporins and carbapenems against carbapenem-resistant Enterobacterales (CRE), Pseudomonas aeruginosa, and Acinetobacter baumannii were included. Susceptibility results were defined as suppressed when susceptibility results were observed from the laboratory instrument but not from NHSN data. For the overall percentage susceptibility estimation, isolates with <30 susceptibility results were excluded. Percentage susceptibility of NHSN results were compared to their counterparts from cASTI. Results: Of the 852 matched isolates in the primary analysis, 804 had at least 1 suppressed result. Of the 804 isolates, 16.9% were P. aeruginosa, 67.3% by E. coli, and 11.1% by Klebsiella spp. The following pathogen–drug combinations had no difference observed in the percentage susceptible between the 2 systems: ceftazidime tested against P. aeruginosa, ceftriaxone tested against Klebsiella spp, ertapenem tested against Klebsiella spp, imipenem tested against E. coli and P. aeruginosa, and meropenem tested against P. aeruginosa. Significant differences were observed for the following drugs tested against E. coli: ceftazidime (11.1%), cefotaxime (8.6%), and ceftriaxone (8.3%). In the NHSN AR Option, the following isolates showed suppressed results related to their phenotypic case definition: 17 (3%) CRE isolates, 7 (28%) carbapenem-resistant Acinetobacter baumannii (CRAB) isolates, 511 (93.2%) extended spectrum β-lactamase (ESBL) isolates, and 94 (66.7%) carbapenem-resistant Pseudomonas aeruginosa (CRPA) isolates. Conclusions: For select isolates, notably E. coli, we observed a large difference in the percentage of susceptible isolates reported into the NHSN AR Option compared to the cASTI data. This difference significantly limits the ability of the AR Option to create valid antibiograms for select pathogen–drug combinations. Moreover, significant numbers of CRAB, ESBL, and CRPA isolates would not be identified from NHSN AR Option because of suppression. This finding warrants the need for antimicrobial stewardship teams to regularly assess the impact of selective reporting in identifying pathogens of public health importance.

Funding: None

Disclosures: None

Background: On March 5, 2020, the Tennessee Department of Health (TDH) announced the first case of COVID-19 in the state. Since then, hospitals have been overwhelmed by the spike in respiratory infections. Several studies have attempted to describe the impact of the pandemic on antibiotic prescriptions. The NHSN Antimicrobial Use Option offers a platform for hospitals to report their antibiotic usage. The TDH has established access to hospital antibiotic usage data statewide through an existing NHSN user group. We compared the change in the volume of inpatient antibiotic prescriptions before and during the pandemic. Methods: An ecological study was conducted from January 2019 to December 2021. Aggregated facility-level data from the NHSN Antimicrobial Use Option were used to describe antibacterial use among Tennessee hospitals. Data from facilities that had reported at least 1 month of data during the study period were included in this study. The antimicrobial use rate was calculated by dividing the antimicrobial days of therapy (DOT) by the number of 1,000 days present. Overall antimicrobial use rates as well as specific antimicrobial use rates for azithromycin, ceftriaxone, and piperacillin–tazobactam were compared across years. Results: In total, 55 hospitals reported at least 1 month of data into the NHSN Antimicrobial Use Option during the study period. These hospitals had a median bed size of 140 (range, 12–689). Conclusions: We observed a modest increase in overall antibiotic use during the COVID-19 pandemic in Tennessee facilities. This trend appeared to be primarily attributed to agents used for community-acquired respiratory infections, such as azithromycin and ceftriaxone, earlier in the pandemic. However, both of these agents have fallen to prepandemic use levels during 2021. The fact that overall use increased in 2021 suggests that other agents not analyzed may have contributed to this effect. Further analysis may help determine which agents are responsible for this increase in 2021.

Funding: None

Disclosures: None

This study explores the potentials of digital transformation for achieving the United Nations Sustainable Development Goals (SDGs), with emphasis on SDG 4 and SDG 9 in Nigeria. The study adopts a conceptual approach, reviewing existing literature to explore the topic from various views of authors on the issue. It focuses on the contextual factors such as stakeholder input to the process of the implementation of digitalisation and SDGs 4 and 9 which focuses on educational development at all levels, industrial collaborations and improvements, respectively. The results indicate that digital transformation potentially enhances the attainment of SDGs 4 and 9, but this is mediated by the level of stakeholder commitment and e-governance performance. Part of the recommendation is the adoption of a multi-disciplinary approach to development-oriented digital transformation interventions for SDGs 4 and 9 in Nigeria, through a process of effective stakeholder engagement and transparent institutional signalling. The study draws research attention to the use of digital transformation for social development, especially in a developing economy such as Nigeria, to enhance the compendium of knowledge in the implementation of digital approach to the attainment of SDGs 4 and 9. It is also suggested for the government institutions to take further responsibility to provide a fair platform for the implementation of digital transformation and the attainment of SDGs 4 and 9 in Nigeria.

Researchers, clinicians and patients are increasingly using real-time monitoring methods to understand and predict suicidal thoughts and behaviours. These methods involve frequently assessing suicidal thoughts, but it is not known whether asking about suicide repeatedly is iatrogenic. We tested two questions about this approach: (a) does repeatedly assessing suicidal thinking over short periods of time increase suicidal thinking, and (b) is more frequent assessment of suicidal thinking associated with more severe suicidal thinking? In a real-time monitoring study (n = 101 participants, n = 12 793 surveys), we found no evidence to support the notion that repeated assessment of suicidal thoughts is iatrogenic.

An outbreak surveillance system for Salmonella integrating whole genome sequencing (WGS) and epidemiological data was developed in South East and London in 2016–17 to assess local WGS clusters for triage and investigation. Cases genetically linked within a 5 single-nucleotide polymorphism (SNP) single linkage cluster were assessed using a set of locally agreed thresholds based on time, person and place, for reporting to local health protection teams (HPTs). Between September 2016 and September 2017, 230 unique 5-SNP clusters (442 weekly reports) of non-typhoidal Salmonella 5-SNP WGS clusters were identified, of which 208 unique 5-SNP clusters (316 weekly reports) were not reported to the HPTs. In the remaining 22 unique clusters (126 weekly clusters) reported to HPTs, nine were known active outbreak investigations, seven were below locally agreed thresholds and six exceeded local thresholds. A common source or vehicle was identified in four of six clusters that exceeded locally agreed thresholds. This work demonstrates that a threshold-based surveillance system, taking into account time, place and genetic relatedness, is feasible and effective in directing the use of local public health resources for risk assessment and investigation of non-typhoidal Salmonella clusters.

While application of clustering algorithms to atom probe tomography data have enabled quantification of solute clusters in terms of number density, size, and subcomposition there exist other properties (e.g., volume, surface area, and composition) that are better determined by defining an interface between the cluster and the surrounding matrix. The limitation in composition results from an ion selection step where the expected matrix ion types are omitted from the cluster search algorithm to enhance the contrast between the matrix and cluster and to reduce the complexity of the search. Previously, composition determination within solute clusters has utilized a secondary envelopment and erosion step on top of conventional methods such as maximum separation. In this work, we present a novel stochastic method that combines the particle identification fidelity of a conventional clustering algorithm with the analytical flexibility of mesh-based approaches through the generation of alpha shapes for each identified cluster. The corresponding mesh accounts for concave components of the clusters and determines the volume and surface area of the clusters; additionally, the mesh boundary is utilized to update the total composition according to the internal ions.