Multimorbidity networks of chronic obstructive pulmonary disease and heart failure in men and women: Evidence from the EpiChron Cohort.

Patients with heart failure (HF) and/or chronic obstructive pulmonary disease (COPD) constitute a complex population with different phenotypes based on pathophysiology, comorbidity, sex and age. We aimed to compare the multimorbidity patterns of HF and COPD in men and women using network analysis. Individuals aged 40 years or older on 2015 of the EpiChron Cohort (Aragon, Spain) were stratified by sex and as having COPD (n = 28,608), HF (n = 13,414), or COPD and HF (n = 3952). We constructed one network per group by obtaining age-adjusted phi correlations between comorbidities. For each sex, networks differed between the three study groups; between sexes, similarities were found for the two HF groups. We detected some specific diseases highly connected in all networks (e.g., cardio-metabolic, respiratory diseases, and chronic kidney failure), and some others that were group-specific that would require further study. We identified common clusters (i.e., cardio-metabolic, cardiovascular, cancer, and neuro-psychiatric) and others specific and clinically relevant in COPD patients (e.g., behavioral risk disorders were systematically associated with psychiatric diseases in women and cancer in men). Network analysis represents a powerful tool to analyze, visualize, and compare the multimorbidity patterns of COPD and HF, also facilitated by developing an ad hoc website.

Standardised mortality ratios as a user-friendly performance metric and trigger for quality improvement in a Flemish hospital network: multicentre retrospective study.

OBJECTIVE: To illustrate the development and use of standardised mortality rates (SMRs) as a trigger for quality improvement in a network of 27 hospitals. DESIGN: This research was a retrospective observational study. The primary outcome was in-hospital mortality. SMRs were calculated for All Patient Refined-Diagnosis-Related Groups (APR-DRGs) that reflect 80% of the Flemish hospital network mortality. Hospital mortality was modelled using logistic regression. The metrics were communicated to the member hospitals using a custom-made R-Shiny web application showing results at the level of the hospital, patient groups and individual patients. Experiences with the metric and strategies for improvement were shared in chief medical officer meetings organised by the Flemish hospital network. SETTING: 27 Belgian hospitals. PARTICIPANTS: 1 198 717 hospital admissions for registration years 2009-2016. RESULTS: Patient gender, age, comorbidity as well as admission source and type were important predictors of mortality. Altogether the SMR models had a C-statistic of 88%, indicating good discriminatory capability. Seven out of ten APR-DRGs with the highest percentage of hospitals statistically significantly deviating from the benchmark involved malignancy. The custom-built web application and the trusted environment of the Flemish hospital network created an interoperable strategy to get to work with SMR findings. Use of the web application increased over time, with peaks before and after key discussion meetings within the Flemish hospital network. A concomitant reduction in crude mortality for the selected APR-DRGs from 6.7% in 2009 to 5.9% in 2016 was observed. CONCLUSIONS: This study reported on the phased approach for introducing SMR reporting to trigger quality improvement. Prerequisites for the successful use of quality metrics in hospital benchmarks are a collaborative approach based on trust among the participants and a reporting platform that allows stakeholders to interpret and analyse the results at multiple levels.

The Launch of an International Animal Papillomavirus Reference Center.

The Papillomaviridae is a family of DNA viruses [...].

Boosting care and knowledge about hereditary cancer: European Reference Network on Genetic Tumour Risk Syndromes.

Approximately 27-36 million patients in Europe have one of the ~ 5.000-8.000 known rare diseases. These patients often do not receive the care they need or they have a substantial delay from diagnosis to treatment. In March 2017, twenty-four European Reference Networks (ERNs) were launched with the aim to improve the care for these patients through cross border healthcare, in a way that the medical knowledge and expertise travels across the borders, rather than the patients. It is expected that through the ERNs, European patients with a rare disease get access to expert care more often and more quickly, and that research and guideline development will be accelerated resulting in improved diagnostics and therapies. The ERN on Genetic Tumour Risk Syndromes (ERN GENTURIS) aims to improve the identification, genetic diagnostics, prevention of cancer, and treatment of European patients with a genetic predisposition for cancer. The ERN GENTURIS focuses on syndromes such as hereditary breast cancer, hereditary colorectal cancer and polyposis, neurofibromatosis and more rare syndromes e.g. PTEN Hamartoma Tumour Syndrome, Li Fraumeni Syndrome and hereditary diffuse gastric cancer.

The Italian Network for Tumor Bio-Immunotherapy (NIBIT) Foundation: ongoing and prospective activities in immuno-oncology.

The ongoing revolution in cancer immunotherapy stems from the knowledge that distinct immune-checkpoints regulate the physiological crosstalk between and among immune cells by delivering inhibitory or activating signals. These notions, and the availability of mAb directed to diverse immune-checkpoint molecules, have led to a significant clinical improvement in cancer treatment. In this scenario, further achievements are undoubtedly to be expected from the contribution of novel, proof-of-principle clinical trials designed to explore the therapeutic efficacy of new immunotherapy-based combinations and treatment sequences. Along these lines, the clinical translation of pre-clinical evidence generated by non-profit research entities is likely to provide a significant contribution to gaining new insights that will further boost the field of cancer immunotherapy. To pursue this goal, and to provide comprehensive educational programs in immune-oncology (I-O), several national and global networks have been revitalized or newly established in recent years. This rapidly evolving scenario led the Board of Directors of the Italian Network of Tumor Bio-Immunotherapy (NIBIT) to establish the NIBIT Foundation. This Focused Research Review summarizes the main ongoing and prospective I-O activities of the NIBIT Foundation.

Expanding Role of Data Science and Bioinformatics in Drug Discovery and Development.

Numerous barriers have been identified which detract from successful applications of clinical trial data and platforms. Despite the challenges, opportunities are growing to advance compliance, quality, and practical applications through top-down establishment of guiding principles, coupled with bottom-up approaches to promote data science competencies among data producers. Recent examples of successful applications include modern treatments for hematologic malignancies, developed with support from public-private partnerships, guiding principles for data-sharing, standards for protocol designs and data management, digital technologies, and quality analytics.

Design Thinking para bibliotecas: um toolkit para design centrado no usuário / Design Thinking for libraries: a toolkit for user-centered design

O livro "Design Thinking para Bibliotecas" foi idealizado pela IDEO, com patrocínio da Fundação Bill & Melinda Gates. A FEBAB obteve autorização para traduzi-lo com participação voluntário da professora Adriana Souza e a revisão de Paula Macedo. É uma experiência para quem pretende conhecer uma nova filosofia em que o surgimento de problemas sejam potencialmente transformados por uma equipe em oportunidades para ação por meio de processos de inspiração, ideação e iteração.

[The REDSIAM network]. / Le réseau REDSIAM (Réseau données Sniiram) ­ Spécial REDSIAM.

The French national health database (SNIIRAM) proved to be very useful for epidemiology, health economics, evaluation, surveillance or public health. However, it is a complex database requiring important resources and expertise for being used. The REDSIAM network has been set up for promoting the collaboration of teams working on the Sniiram. The main aim of REDSIAM is to develop and validate methods for analyzing the Sniiram database for research, surveillance, evaluation and public health purposes by sharing the knowledge and experience of specialized teams in the fields of diseases identification from the Sniiram data. The work conducted within the network is devoted to the development and the validation of algorithms using Sniiram data for identifying specific diseases. The REDSIAM governance includes the Steering Committee composed of the main organizations in charge of producing and using the Sniiram data, the Bureau and the Technical Committee. The network is organized in thematic working groups focused on specific pathological domains, and a charter defines the rules for participation in the network, the functioning of the thematic working groups, the rules for publishing and making available algorithms. The articles in this special issue of the journal present the first results of some of the thematic working groups.

Goals and objectives of the Italian Network for Tumor Biotherapy (NIBIT).

The explosion in the immuno-oncology field, exemplified by the clinical implementation of immune checkpoint inhibitor blockade and other immunotherapeutic strategies was quickly recognized by the Italian biomedical community, thanks to the networking activities of the Italian Network for Tumor Biotherapy (NIBIT), which has been active since 2004 in the diffusion of new scientific and clinical findings in the fields of tumor immunology and immunotherapy. Numerous activities of NIBIT have also helped to overcome the hurdles associated with the clinical implementation of cancer immune-biotherapeutic strategies at the national and international levels. Looking forward, a concerted interaction of NIBIT with existing European networks focused on cancer bio-immunotherapy will further contribute to the development of improved therapies in the immuno-oncology field. This Introduction briefly summarizes the history and objectives of NIBIT, as well as the current activities of the Network.

Moving forward: a qualitative research inquiry to inform the development of a resource pack for women following primary breast cancer treatment.

While the UK charity Breast Cancer Care has extensive resources for women with breast cancer, this research partnership developed the first resource driven and informed by primary research with these women, exploring their needs and developing the resource according to need. Data were collected from focus groups with breast cancer survivors and telephone interviews with health professionals and experts, which explored the needs of women after primary cancer treatment, and were analyzed using thematic analysis. As well as information, these women needed resources to help them regain control over life, adapt to a changed body, and restore lost confidence.

United Kingdom: Health System Review.

This analysis of the United Kingdom health system reviews recent developments in organization and governance, health financing, health care provision, health reforms and health system performance. It provides an overview of how the national health services operate in the four nations that make up the United Kingdom, as responsibility for organizing health financing and services was devolved from 1997. With devolution, the health systems in the United Kingdom have diverged in the details of how services are organized and paid for, but all have maintained national health services which provide universal access to a comprehensive package of services that are mostly free at the point of use. These health services are predominantly financed from general taxation and 83.5% of total health expenditure in the United Kingdom came from public sources in 2013. Life expectancy has increased steadily across the United Kingdom, but health inequalities have proved stubbornly resistant to improvement, and the gap between the most deprived and the most privileged continues to widen, rather than close. The United Kingdom faces challenges going forward, including how to cope with the needs of an ageing population, how to manage populations with poor health behaviours and associated chronic conditions, how to meet patient expectations of access to the latest available medicines and technologies, and how to adapt a system that has limited resources to expand its workforce and infrastructural capacity so it can rise to these challenges.

Israel: Health System Review.

Israel is a small country, with just over 8 million citizens and a modern market-based economy with a comparable level of gross domestic product per capita to the average in the European Union. It has had universal health coverage since the introduction of a progressively financed statutory health insurance system in 1995. All citizens can choose from among four competing, non-profit-making health plans, which are charged with providing a broad package of benefits stipulated by the government. Overall, the Israeli health care system is quite efficient. Health status levels are comparable to those of other developed countries, even though Israel spends a relatively low proportion of its gross domestic product on health care (less than 8%) and nearly 40% of that is privately financed. Factors contributing to system efficiency include regulated competition among the health plans, tight regulatory controls on the supply of hospital beds, accessible and professional primary care and a well-developed system of electronic health records. Israeli health care has also demonstrated a remarkable capacity to innovate, improve, establish goals, be tenacious and prioritize. Israel is in the midst of numerous health reform efforts. The health insurance benefits package has been extended to include mental health care and dental care for children. A multipronged effort is underway to reduce health inequalities. National projects have been launched to measure and improve the quality of hospital care and reduce surgical waiting times, along with greater public dissemination of comparative performance data. Major steps are also being taken to address projected shortages of physicians and nurses. One of the major challenges currently facing Israeli health care is the growing reliance on private financing, with potentially deleterious effects for equity and efficiency. Efforts are currently underway to expand public financing, improve the efficiency of the public system and constrain the growth of the private sector.

Mapping knowledge translation and innovation processes in Cancer Drug Development: the case of liposomal doxorubicin.

We explored how the knowledge translation and innovation processes are structured when theyresult in innovations, as in the case of liposomal doxorubicin research. In order to map the processes, a literature network analysis was made through Cytoscape and semantic analysis was performed by GOPubmed which is based in the controlled vocabularies MeSH (Medical Subject Headings) and GO (Gene Ontology). We found clusters related to different stages of the technological development (invention, innovation and imitation) and the knowledge translation process (preclinical, translational and clinical research), and we were able to map the historic emergence of Doxil as a paradigmatic nanodrug. This research could be a powerful methodological tool for decision-making and innovation management in drug delivery research.

Redes de coautoría de investigación en salud pública en Santander / Co-authorship research networks in public health in Santander

Introducción. Aunque hay mucha investigación relacionada con la salud pública, aún persisten grandes desigualdades en este campo. Es necesario conocer cómo se genera el conocimiento y cómo se divulga al público para acercar la investigación a los tomadores de decisiones. Objetivo. Caracterizar las redes de investigación en salud pública en Santander, Colombia. Materiales y métodos. Se analizaron las redes sociales con base en la coautoría de publicaciones científicas de investigadores residentes en Santander durante el 2012. Se identificó a los investigadores mediante el llamado muestreo de "bola de nieve". Las publicaciones se buscaron en bases de datos nacionales e internacionales. Se calcularon la densidad y la distancia geodésica promedio de la red, así como el tamaño, las parejas, el agente conector ( broker ) y la ´homofilia´ (afinidad) de las redes egocéntricas. Resultados. Se detectaron 531 investigadores, la mayoría en epidemiología (77,59 %) y en más de un área temática. La densidad de la red fue de 0,0058 y, la distancia geodésica promedio, de 4,418. Varios indicadores sugirieron que las redes egocéntricas más cohesionadas fueron las de quienes investigan en más de un área del conocimiento o en epidemiología. La ´homofilia´ fue menor en sistemas de salud, bioestadística y ciencias sociales y del comportamiento, así como en instituciones hospitalarias privadas y en la universidad pública. Conclusiones. La estructura de la red sugiere una fase de crecimiento de la investigación y un predominio de la aproximación epidemiológica. Es necesario fortalecer las demás áreas de salud pública para mejorar la respuesta ante las necesidades de salud del departamento.

Introduction: Although a good deal of research in public health has been performed, large inequalities still exist in health. It is necessary to know how knowledge is generated and disseminated to the public in order for research to reach decision-makers. Objective: To characterize public health research networks in Santander, Colombia. Materials and methods: Analysis of social networks based on co-authorship of scientific publications by researchers living in Santander in 2012. Researchers were identified using a "snowball" technique. The publications search was conducted using national and international databases. The density and average geodesic distance of networks were calculated, as was the size, pairs, brokers and homophily of egocentric networks. Results: There were 531 researchers. Most worked in epidemiology (77.59%), and in more than one thematic field. The network density was 0.0058 and the average geodesic distance was 4.418. Several indicators suggested that the most cohesive egocentric networks were those in which researches investigated more than in one knowledge area or in epidemiology. Homophily was lower for health systems, biostatistics and social and behavioral sciences, as well as private hospitals and the public university. Conclusions: The network structure suggests a growth phase in research and a predominance of epidemi-ology. Other public health areas need strengthening so as to better address the health needs of the state.

The world´s microbiology laboratories can be a global microbial sensor network / Los laboratorios de microbiología del mundo pueden convertirse en una red de detección microbiana

The microbes that infect us spread in global and local epidemics, and the resistance genes that block their treatment spread within and between them. All we can know about where they are to track and contain them comes from the only places that can see them, the world´s microbiology laboratories, but most report each patient´s microbe only to that patient´s caregiver. Sensors, ranging from instruments to birdwatchers, are now being linked in electronic networks to monitor and interpret algorithmically in real-time ocean currents, atmospheric carbon, supply-chain inventory, bird migration, etc. To so link the world´s microbiology laboratories as exquisite sensors in a truly lifesaving real-time network their data must be accessed and fully subtyped. Microbiology laboratories put individual reports into inaccessible paper or mutually incompatible electronic reporting systems, but those from more than 2,200 laboratories in more than 108 countries worldwide are now accessed and translated into compatible WHONET files. These increasingly web-based files could initiate a global microbial sensor network. Unused microbiology laboratory byproduct data, now from drug susceptibility and biochemical testing but increasingly from new technologies (genotyping, MALDI-TOF, etc.), can be reused to subtype microbes of each genus/species into sub-groupings that are discriminated and traced with greater sensitivity. Ongoing statistical delineation of subtypes from global sensor network data will improve detection of movement into any patient of a microbe or resistance gene from another patient, medical center or country. Growing data on clinical manifestations and global distributions of subtypes can automate comments for patient´s reports, select microbes to genotype and alert responders.

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