A methodology for using Lambda phages as a proxy for pathogen transmission in hospitals.

BACKGROUND: One major concern in hospitalized patients is acquiring infections from pathogens borne on surfaces, patients, and healthcare workers (HCWs). Fundamental to controlling healthcare-associated infections is identifying the sources of pathogens, monitoring the processes responsible for their transmission, and evaluating the efficacy of the procedures employed for restricting their transmission. AIM: To present a method using the bacteriophage Lambda (λ) to achieve these ends. METHODS: Defined densities of multiple genetically marked λ phages were inoculated at known hotspots for contamination on high-fidelity mannequins. HCWs then entered a pre-sanitized simulated hospital room and performed a series of patient care tasks on the mannequins. Sampling occurred on the scrubs and hands of the HCWs, as well as previously defined high-touch surfaces in hospital rooms. Following sampling, the rooms were decontaminated using procedures demonstrated to be effective. Following the conclusion of the simulation, the samples were tested for the presence, identity, and densities of these λ phages. FINDINGS: The data generated enabled the determination of the sources and magnitude of contamination caused by the breakdown of established infection prevention practices by HCWs. This technique enabled the standardized tracking of multiple contaminants during a single episode of patient care. Unlike other biological surrogates, λ phages are susceptible to common hospital disinfectants, and allow for a more accurate evaluation of pathogen transmission. CONCLUSION: Whereas our application of these methods focused on healthcare-associated infections and the role of HCW behaviours in their spread, these methods could be employed for identifying the sources and sites of microbial contamination in other settings.

Status of trauma quality improvement programs in the Andean region: What foundation do we have to build on.

INTRODUCTION: Trauma quality improvement (QI) programs have been shown to improve outcomes and decrease cost. These are high priorities in low- and middle-income countries (LMICs), where 2,000,000 deaths due to survivable injuries occur each year. We sought to define areas for improvement in trauma QI programs in four LMICs. METHODS: We conducted a survey among trauma care providers in four Andean middle-income countries: Bolivia, Colombia, Ecuador, and Peru. RESULTS: 336 physicians, medical students, nurses, administrators and paramedical professionals responded to the cross-sectional survey with a response rate greater than 90% in all included countries except Bolivia, where the response rate was 14%. Eighty-seven percent of respondents reported morbidity and mortality (M&M) conferences occur at their hospital. Conferences were often reported as infrequent - 45% occurred less than every three months and poorly attended - 63% had five or fewer staff physicians present. Only 23% of conferences had standardized selection criteria, most lacked documentation - notes were taken at only 35% of conferences. Importantly, only 13% of participants indicated that discussions were routinely followed-up with any sort of corrective action. Multivariable analysis revealed the presence of standardized case selection criteria (OR 3.48, 95% CI 1.16-10.46), written documentation of the M&M conferences (OR 5.73, 95% CI 1.73-19.06), and a clear plan for follow-up (OR 4.80, 95% CI 1.59-14.50) to be associated with effective M&M conferences. Twenty-two percent of respondents worked at hospitals with a trauma registry. Fifty-two percent worked at institutions where autopsies were conducted, but only 32% of those reported the autopsy results to ever be used to improve hospital practice. CONCLUSIONS: M&M conferences are frequently practiced in the Andean region of Latin America but often lack methodologic rigor and thus effectiveness. Next steps in the maturation of QI programs include optimizing use of data from autopsies and registries, and systematic follow-up of M&M conferences with corrective action to ensure that these activities result in appreciable changes in clinical care.

Mixed-Methods Assessment of Trauma and Acute Care Surgical Quality Improvement Programs in Peru.

BACKGROUND: Evidence for the positive impact of quality improvement (QI) programs on morbidity, mortality, patient satisfaction, and cost is strong. Data regarding the status of QI programs in low- and middle-income countries, as well as in-depth examination of barriers and facilitators to their implementation, are limited. METHODS: This cross-sectional, descriptive study employed a mixed-methods design, including distribution of an anonymous quantitative survey and individual interviews with healthcare providers who participate in the care of the injured at ten large hospitals in Lima, Peru. RESULTS: Key areas identified for improvement in morbidity and mortality (M&M) conferences were the standardization of case selection, incorporation of evidence from the medical literature into case presentation and discussion, case documentation, and the development of a clear plan for case follow-up. The key barriers to QI program implementation were a lack of prioritization of QI, lack of sufficient human and administrative resources, lack of political support, and lack of education on QI practices. CONCLUSIONS: A national program that makes QI a required part of all health providers' professional training and responsibilities would effectively address a majority of identified barriers to QI programs in Peru. Specifically, the presence of basic QI elements, such as M&M conferences, should be required at hospitals that train pre-graduate physicians. Alternatively, short of this national-level organization, efforts that capitalize on local examples through apprenticeships between institutions or integration of QI into continuing medical education would be expected to build on the facilitators for QI programs that exist in Peru.

Surgeons' and Trauma Care Physicians' Perception of the Impact of the Globalization of Medical Education on Quality of Care in Lima, Peru.

Importance: The globalization of medical education-the process by which trainees in any region gain access to international training (electronic or in-person)-is a growing trend. More data are needed to inform next steps in the responsible stewardship of this process, from the perspective of trainees and institutions at all income levels, and for use by national and international policymakers. Objective: To describe the impact of the globalization of medical education on surgical care in Peru from the perspective of Peruvian surgeons who received international training. Design, Setting, and Participants: Observational study of qualitative interviews conducted from September 2015 to January 2016 using grounded theory qualitative research methods. The study was conducted at 10 large public institutions that provide most of the trauma care in Lima, Peru, and included urban resident and faculty surgery and trauma care physicians. Exposures: Access to international surgical rotations and medical information. Main Outcomes and Measures: Outcome measures defining the impact of globalization on surgical care were developed as part of simultaneous data collection and analysis during qualitative research as part of a larger project on trauma quality improvement practices in Peru. Results: Fifty qualitative interviews of surgeons and emergency medicine physicians were conducted at 10 hospitals, including multiple from the public and social security systems. A median of 4 interviews were conducted at each hospital, and fewer than 3 interviews were conducted at only 1 hospital. From the broader theme of globalization emerged subthemes of an eroded sense of agency and a perception of inadequate training on the adaptation of international standards as negative effects of globalization on surgical care in Peru. Access to research funds, provision of incentives for acquisition of advanced clinical training, increased expectations for patient outcomes, and education in quality improvement skills are ways in which globalization positively affected surgeons and their patients in Peru. Conclusions and Relevance: Short-term overseas training of surgeons from low- and middle-income countries may improve care in the surgeons' country of origin through the acquisition of skills and altered expectations for excellence. Prioritization of evidence-based medical education is necessary given widespread internet access and thus clinician exposure to variable quality medical information. Finally, the establishment of centers of excellence in low- and middle-income countries may address the eroded sense of agency attributable to globalization and offer a local example of world-class surgical outcomes, diminishing surgeons' most frequently cited reason for emigration: access to better surgical training.

Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals.

Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user's interest or search intention is necessary to recommend and retrieve relevant information from these collections. We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals. In experiments, participants were asked to read Wikipedia documents about a selection of topics while their EEG was recorded. Based on the prediction of word relevance, the individual's search intent was modeled and successfully used for retrieving new relevant documents from the whole English Wikipedia corpus. The results show that the users' interests toward digital content can be modeled from the brain signals evoked by reading. The introduced brain-relevance paradigm enables the recommendation of information without any explicit user interaction and may be applied across diverse information-intensive applications.

Archetypal Analysis for Nominal Observations.

Archetypal analysis is a popular exploratory tool that explains a set of observations as compositions of few 'pure' patterns. The standard formulation of archetypal analysis addresses this problem for real valued observations by finding the approximate convex hull. Recently, a probabilistic formulation has been suggested which extends this framework to other observation types such as binary and count. In this article we further extend this framework to address the general case of nominal observations which includes, for example, multiple-option questionnaires. We view archetypal analysis in a generative framework: this allows explicit control over choosing a suitable number of archetypes by assigning appropriate prior information, and finding efficient update rules using variational Bayes'. We demonstrate the efficacy of this approach extensively on simulated data, and three real world examples: Austrian guest survey dataset, German credit dataset, and SUN attribute image dataset.

A plea for neutral comparison studies in computational sciences.

In computational science literature including, e.g., bioinformatics, computational statistics or machine learning, most published articles are devoted to the development of "new methods", while comparison studies are generally appreciated by readers but surprisingly given poor consideration by many journals. This paper stresses the importance of neutral comparison studies for the objective evaluation of existing methods and the establishment of standards by drawing parallels with clinical research. The goal of the paper is twofold. Firstly, we present a survey of recent computational papers on supervised classification published in seven high-ranking computational science journals. The aim is to provide an up-to-date picture of current scientific practice with respect to the comparison of methods in both articles presenting new methods and articles focusing on the comparison study itself. Secondly, based on the results of our survey we critically discuss the necessity, impact and limitations of neutral comparison studies in computational sciences. We define three reasonable criteria a comparison study has to fulfill in order to be considered as neutral, and explicate general considerations on the individual components of a "tidy neutral comparison study". R codes for completely replicating our statistical analyses and figures are available from the companion website http://www.ibe.med.uni-muenchen.de/organisation/mitarbeiter/020_professuren/boulesteix/plea2013.