EMTReK: An Evidence-based Model for the Transfer & Exchange of Research Knowledge-Five Case Studies in Palliative Care.

Knowledge transfer is recognized as a vital stage in evidence-informed nursing with several models available to guide the process. Although the main components commonly involve identification of messages, stakeholders, processes and contexts, the underpinning models remain largely unrefined and untested; and they need to be evaluated. We set out to explore the use of our "Evidence-based Model for Transfer & Exchange of Research Knowledge" (EMTReK) within palliative care research. Between January 2016 and May 2017, data were collected from five case studies which used the EMTReK model as a means to transfer knowledge relating to palliative care research, undertaken in Ireland. A qualitative approach was taken with thematic analysis of case documentation, semistructured interviews, and field notes from the case studies. Qualitative analysis supports the core components of EMTReK as a model of knowledge transfer and exchange in palliative care. Results focused upon identification of messages to be transferred to defined stakeholders through interactive processes that take account of context. Case study findings show how the model was interpreted and operationalized by participants and demonstrate its impact on knowledge transfer and exchange. Eight themes were drawn from the data: Credibility of the Model, Model Accessibility, Applicability to Palliative Care, A Matter of Timing, Positive Role of Facilitation, Required Resources, Enhancing Research Quality, Limitations or Areas for Further Consideration. Study participants found EMTReK to be a useful guide when making knowledge transfer plans. Success depended upon adequate facilitation and guidance. Further exploration of the model's utility is warranted.

Excellence and evidence in staffing: a data-driven model for excellence in staffing (2nd edition).

The Patient Protection and Affordable Care Act (PPACA, 2010) and the Institute of Medicine's (IOM, 2011) Future of Nursing report have prompted changes in the U.S. health care system. This has also stimulated a new direction of thinking for the profession of nursing. New payment and priority structures, where value is placed ahead of volume in care, will start to define our health system in new and unknown ways for years. One thing we all know for sure: we cannot afford the same inefficient models and systems of care of yesterday any longer. The Data-Driven Model for Excellence in Staffing was created as the organizing framework to lead the development of best practices for nurse staffing across the continuum through research and innovation. Regardless of the setting, nurses must integrate multiple concepts with the value of professional nursing to create new care and staffing models. Traditional models demonstrate that nurses are a commodity. If the profession is to make any significant changes in nurse staffing, it is through the articulation of the value of our professional practice within the overall health care environment. This position paper is organized around the concepts from the Data-Driven Model for Excellence in Staffing. The main concepts are: Core Concept 1: Users and Patients of Health Care, Core Concept 2: Providers of Health Care, Core Concept 3: Environment of Care, Core Concept 4: Delivery of Care, Core Concept 5: Quality, Safety, and Outcomes of Care. This position paper provides a comprehensive view of those concepts and components, why those concepts and components are important in this new era of nurse staffing, and a 3-year challenge that will push the nursing profession forward in all settings across the care continuum. There are decades of research supporting various changes to nurse staffing. Yet little has been done to move that research into practice and operations. While the primary goal of this position paper is to generate research and innovative thinking about nurse staffing across all health care settings, a second goal is to stimulate additional publications. This includes a goal of at least 20 articles in Nursing Economic$ on best practices in staffing and care models from across the continuum over the next 3 years.

Recommendations for blood lead screening of Medicaid-eligible children aged 1-5 years: an updated approach to targeting a group at high risk.

Lead is a potent, pervasive neurotoxicant, and elevated blood lead levels (EBLLs) can result in decreased IQ, academic failure, and behavioral problems in children. Eliminating EBLLs among children is one of the 2010 U.S. national health objectives. Data from the National Health and Nutrition Examination Survey (NHANES) indicate substantial decreases both in the percentage of persons in the United States with EBLLs and in mean BLLs among all age and ethnic groups, including children aged 1--5 years. Historically, children in low-income families served by public assistance programs have been considered to be at greater risk for EBLLs than other children. However, evidence indicates that children in low-income families are experiencing decreases in BLLs, suggesting that the EBLL disparity between Medicaid-eligible children and non--Medicaid-eligible children is diminishing. In response to these findings, the CDC Advisory Committee on Childhood Lead Poisoning Prevention is updating recommendations for blood lead screening among children eligible for Medicaid by providing recommendations for improving BLL screening and information for health-care providers, state officials, and others interested in lead-related services for Medicaid-eligible children. Because state and local officials are more familiar than federal agencies with local risk for EBLLs, CDC recommends that these officials have the flexibility to develop blood lead screening strategies that reflect local risk for EBLLs. Rather than provide universal screening to all Medicaid children, which was previously recommended, state and local officials should target screening toward specific groups of children in their area at higher risk for EBLLs. This report presents the updated CDC recommendations and provides strategies to 1) improve screening rates of children at risk for EBLLs, 2) develop surveillance strategies that are not solely dependent on BLL testing, and 3) assist states with evaluation of screening plans.

The DNA sequence, annotation and analysis of human chromosome 3.

After the completion of a draft human genome sequence, the International Human Genome Sequencing Consortium has proceeded to finish and annotate each of the 24 chromosomes comprising the human genome. Here we describe the sequencing and analysis of human chromosome 3, one of the largest human chromosomes. Chromosome 3 comprises just four contigs, one of which currently represents the longest unbroken stretch of finished DNA sequence known so far. The chromosome is remarkable in having the lowest rate of segmental duplication in the genome. It also includes a chemokine receptor gene cluster as well as numerous loci involved in multiple human cancers such as the gene encoding FHIT, which contains the most common constitutive fragile site in the genome, FRA3B. Using genomic sequence from chimpanzee and rhesus macaque, we were able to characterize the breakpoints defining a large pericentric inversion that occurred some time after the split of Homininae from Ponginae, and propose an evolutionary history of the inversion.

The finished DNA sequence of human chromosome 12.

Human chromosome 12 contains more than 1,400 coding genes and 487 loci that have been directly implicated in human disease. The q arm of chromosome 12 contains one of the largest blocks of linkage disequilibrium found in the human genome. Here we present the finished sequence of human chromosome 12, which has been finished to high quality and spans approximately 132 megabases, representing approximately 4.5% of the human genome. Alignment of the human chromosome 12 sequence across vertebrates reveals the origin of individual segments in chicken, and a unique history of rearrangement through rodent and primate lineages. The rate of base substitutions in recent evolutionary history shows an overall slowing in hominids compared with primates and rodents.