Towards the QCD equation of state at the physical point using Wilson fermion

We study the (2+1)-flavor QCD at nonzero temperatures using nonperturbatively improved Wilson quarks of the physical masses by the fixed scale approach. We perform physical point simulations at finite temperatures with the coupling parameters which were adopted by the PACS-CS Collaboration in their studies using the reweighting technique. Zero temperature values are obtained on the PACS-CS configurations which are open to the public on the ILDG/JLDG. Finite temperature configurations are generated with the RHMC algorithm. The lattice sizes are $32^3 \times N_t$ with $N_t=14$, 13, $\cdots$, 4 which correspond to $T \approx 160$--550 MeV. We present results of some basic observables at these temperatures and the status of our calculation of the equation of state.Comment: 7 pages, 3 figures, proceedings of the 33rd International Symposium on Lattice Field Theory, July 14-18, 2015, Kobe, Japa

Making sense of evidence in management decisions: the role of research-based knowledge on innovation adoption and implementation in health care

Background: Although innovation can improve patient care, implementing new ideas is often challenging. Previous research found that professional attitudes, shaped in part by health policies and organisational cultures, contribute to differing perceptions of innovation ‘evidence’. However, we still know little about how evidence is empirically accessed and used by organisational decision-makers when innovations are introduced. Aims and objectives: We aimed to investigate the use of different sources and types of evidence in innovation decisions to answer the following questions: how do managers make sense of evidence? What role does evidence play in management decision-making when adopting and implementing innovations in health care? How do wider contextual conditions and intraorganisational capacity influence research use and application by health-care managers? Methods: Our research design comprised multiple case studies with mixed methods. We investigated technology adoption and implementation in nine acute-care organisations across England. We employed structured survey questionnaires, in-depth interviews and documentary analysis. The empirical setting was infection prevention and control. Phase 1 focused on the espoused use of evidence by 126 non-clinical and clinical hybrid managers. Phase 2 explored the use of evidence by managers in specific technology examples: (1) considered for adoption; (2) successfully adopted and implemented; and (3) rejected or discontinued. Findings: (1) Access to, and use of, evidence types and sources varied greatly by profession. Clinicians reported a strong preference for science-based, peer-reviewed, published evidence. All groups called upon experiential knowledge and expert opinion. Nurses overall drew upon a wider range of evidence sources and types. Non-clinical managers tended to sequentially prioritise evidence on cost from national-level sources, and local implementation trials. (2) A sizeable proportion of professionals from all groups, including experienced staff, reported difficulty in making sense of evidence. Lack of awareness of existing implementation literature, lack of knowledge on how to translate information into current practice, and lack of time and relevant skills were reported as key reasons for this. (3) Infection outbreaks, financial pressures, performance targets and trusted relationships with suppliers seemed to emphasise a pragmatic and less rigorous approach in sourcing for evidence. Trust infrastructure redevelopment projects, and a strong emphasis on patient safety and collaboration, appeared to widen scope for evidence use. (4) Evidence was continuously interpreted and (re)constructed by professional identity, organisational role, team membership, audience and organisational goals. (5) Doctors and non-clinical managers sourced evidence plausible to self. Nursing staff also sought acceptance of evidence from other groups. (6) We found diverse ‘evidence templates’ in use: ‘biomedical-scientific’, ‘practice-based’, ‘rational-policy’. These represented shared cognitive models which defined what constituted acceptable and credible evidence in decisions. Nurses drew on all diverse ‘templates’ to make sense of evidence and problems; non-clinical managers drew mainly on the practice-based and rational-policy templates; and doctors drew primarily on the biomedical-scientific template. Conclusions: An evidence-based management approach that inflexibly applies the principles of evidence-based medicine, our findings suggest, neglects how evidence is actioned in practice and how codified research knowledge inter-relates with other ‘evidence’ also valued by decision-makers. Local processes and professional and microsystem considerations played a significant role in adoption and implementation. This has substantial implications for the effectiveness of large-scale projects and systems-wide policy

Defining the user role in infection control

Health policy initiatives continue to recognize the valuable role of patients and the public in improving safety, advocating the availability of information as well as involvement at the point of care. In infection control, there is a limited understanding of how users interpret the plethora of publicly available information about hospital performance, and little evidence to support strategies that include reminding healthcare staff to adhere to hand hygiene practices

Code-Sharing in Cost-of-Illness Calculations: An Application to Antibiotic-Resistant Bloodstream Infections

Data Availability Statement: The linked JANIS-DPC dataset analyzed for this study is not fully available due to patient identifiable data being present. However, JANIS does provide surveillance data in its open report available. Requests to access the datasets should be directed to https://janis.mhlw.go.jp/english/about/index.html.Copyright © 2020 Naylor, Yamashita, Iwami, Kunisawa, Mizuno, Castro-Sánchez, Imanaka, Ahmad and Holmes. Background: More data-driven evidence is needed on the cost of antibiotic resistance. Both Japan and England have large surveillance and administrative datasets. Code sharing of costing models enables reduced duplication of effort in research. Objective: To estimate the burden of antibiotic-resistant Staphylococcus aureus bloodstream infections (BSIs) in Japan, utilizing code that was written to estimate the hospital burden of antibiotic-resistant Escherichia coli BSIs in England. Additionally, the process in which the code-sharing and application was performed is detailed, to aid future such use of code-sharing in health economics. Methods: National administrative data sources were linked with voluntary surveillance data within the Japan case study. R software code, which created multistate models to estimate the excess length of stay associated with different exposures of interest, was adapted from previous use and run on this dataset. Unit costs were applied to estimate healthcare system burden in 2017 international dollars (I$). Results: Clear supporting documentation alongside open-access code, licensing, and formal communication channels, helped the re-application of costing code from the English setting within the Japanese setting. From the Japanese healthcare system perspective, it was estimated that there was an excess cost of I$6,392 per S. aureus BSI, whilst oxacillin resistance was associated with an additional I$8,155. Conclusions: S. aureus resistance profiles other than methicillin may substantially impact hospital costs. The sharing of costing models within the field of antibiotic resistance is a feasible way to increase burden evidence efficiently, allowing for decision makers (with appropriate data available) to gain rapid cost-of-illness estimates.HPRU-2012-1004

Code-sharing in Cost-of-illness Calculations: An Application to Antibiotic-Resistant Bloodstream Infections

Background: More data-driven evidence is needed on the cost of antibiotic resistance. Both Japan and England have large surveillance and administrative datasets. Code sharing of costing models enables reduced duplication of effort in research. Objective: To estimate the burden of antibiotic-resistant Staphylococcus aureus bloodstream infections (BSIs) in Japan, utilizing code that was written to estimate the hospital burden of antibiotic-resistant Escherichia coli BSIs in England. Additionally, the process in which the code-sharing and application was performed is detailed, to aid future such use of code-sharing in health economics. Methods: National administrative data sources were linked with voluntary surveillance data within the Japan case study. R software code, which created multistate models to estimate the excess length of stay associated with different exposures of interest, was adapted from previous use and run on this dataset. Unit costs were applied to estimate healthcare system burden in 2017 international dollars (I$). Results: Clear supporting documentation alongside open-access code, licensing and formal communication channels, helped the re-application of costing code from the English setting within the Japanese setting. From the Japanese healthcare system perspective, it was estimated that there was an excess cost of I$6,392 per S. aureus BSI, whilst oxacillin resistance was associated with an additional I$8,155. Conclusions: S. aureus resistance profiles other than methicillin may substantially impact hospital costs. The sharing of costing models within the field of antibiotic resistance is a feasible way to increase burden evidence efficiently, allowing for decision makers (with appropriate data available) to gain rapid cost-of-illness estimates

Comparison of national strategies to reduce methicillin-resistant Staphylococcus aureus (MRSA) infections in Japan and England

Background National responses to healthcare-associated infections vary between high-income countries but when analysed for contextual comparability, interventions can be assessed for transferability. Aim To identify learning from country-level approaches to addressing meticillin-resistant Staphylococcus aureus (MRSA) in Japan and England. Methods A longitudinal analysis (2000-17), comparing epidemiological trends and policy interventions. Data from 441 textual sources concerning infection prevention and control (IPC), surveillance, and antimicrobial stewardship interventions were systematically coded for: type - mandatory requirements, recommendations, or national campaigns; method - restrictive, persuasive, structural in nature; level of implementation - macro (national), meso (organisational), micro (individual) levels. Healthcare organisational structures and role of media were also assessed. Findings In England significant reduction has been achieved in number of reported MRSA bloodstream infections. In Japan, in spite of reductions, MRSA remains a predominant infection. Both countries face new threats in the emergence of drug-resistant Escherichia coli. England has focused on national mandatory and structural interventions, supported by a combination of outcomes-based incentives and punitive mechanisms, and multidisciplinary IPC hospital teams. Japan has focused on (non-mandatory) recommendations and primarily persuasive interventions, supported by process-based incentives, with voluntary surveillance. Areas for development in Japan include resourcing of dedicated data management support and implementation of national campaigns for healthcare professionals and the public. Conclusion Policy interventions need to be relevant to local epidemiological trends, while acceptable within health system cultures and public expectations. Cross-national learning can help inform the right mix of interventions to create sustainable and resilient systems for future infection and economic challenges

Investigation of the thermal stability of Mg/Co periodic multilayers for EUV applications

We present the results of the characterization of Mg/Co periodic multilayers and their thermal stability for the EUV range. The annealing study is performed up to a temperature of 400\degree C. Images obtained by scanning transmission electron microscopy and electron energy loss spectroscopy clearly show the good quality of the multilayer structure. The measurements of the EUV reflectivity around 25 nm (~49 eV) indicate that the reflectivity decreases when the annealing temperature increases above 300\degreeC. X-ray emission spectroscopy is performed to determine the chemical state of the Mg atoms within the Mg/Co multilayer. Nuclear magnetic resonance used to determine the chemical state of the Co atoms and scanning electron microscopy images of cross sections of the Mg/Co multilayers reveal changes in the morphology of the stack from an annealing temperature of 305\degreee;C. This explains the observed reflectivity loss.Comment: Published in Applied Physics A: Materials Science \& Processing Published at http://www.springerlink.com.chimie.gate.inist.fr/content/6v396j6m56771r61/ 21 page