325 research outputs found

    The Case for Baccalaureate-Prepared Nurses

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    The nursing workforce plays a central role in our present health care system, and will likely have an even greater role in the future. Nurses already provide the vast majority of care to patients in hospitals, and so it should come as no surprise that the quality of nursing care affects patient outcomes. Over the past decade, studies have linked certain nursing characteristics—such as staffing levels, education, job satisfaction, and work environment—with better outcomes in hospitals. This Issue Brief adds to that evidence with a longitudinal study that links changes in nurse education with improvements in surgical patients’ survival. It also discusses how a more educated nurse workforce could fill a range of new roles in primary care, prevention, and care coordination as health reform is implemented

    Psychiatric Comorbidity and Greater Hospitalization Risk, Longer Length of Stay, and Higher Hospitalization Costs in Older Adults with Heart Failure

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    OBJECTIVES: To explore associations between psychiatric comorbidity and rehospitalization risk, length of hospitalization, and costs. DESIGN: Cross‐sectional study of 1‐year hospital administrative data. SETTING: Claims‐based study of older adults hospitalized in the United States. PARTICIPANTS: Twenty‐one thousand four hundred twenty‐nine patients from a 5% national random sample of U.S. Medicare beneficiaries aged 65 and older, with at least one acute care hospitalization in 1999 with a Diagnostic‐Related Group of congestive heart failure. MEASUREMENTS: The number of hospitalizations, mean length of hospital stay, and total hospitalization costs in calendar year 1999. RESULTS: Overall, 15.8% of patients hospitalized for heart failure (HF) had a coded psychiatric comorbidity; the most commonly coded comorbid psychiatric disorder was depression (8.5% of the sample). Most forms of psychiatric comorbidity were associated with greater inpatient utilization, including risk of additional hospitalizations, days of stay, and hospitalization charges. Additional hospitalization costs associated with psychiatric comorbidity ranged up to $7,763, and additional days length of stay ranged up to 1.4 days. CONCLUSION: Psychiatric comorbidity appears in a significant minority of patients hospitalized for HF and may affect their clinical and economic outcomes. The associations between psychiatric comorbidity and use of inpatient care are likely to be an underestimate, because psychiatric illness is known to be underdetected in older adults and in hospitalized medical patients

    An evaluation of post-registration neuroscience focused education and neuroscience nurses' perceived educational needs

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    Background People with complex neurological conditions require co-ordinated care provided by nurses educated in meeting service needs, understanding the pathophysiological processes of disease and the preparation to care for those with complex needs. However, evidence suggests that neuroscience specific education provision is largely unregulated and set outside of a cohesive professional development context. Furthermore, it largely seems to only address the induction phase into working within neurosciences. Objectives To evaluate the nature of post-registration neuroscience focused education across Europe and neuroscience nurses' perceived educational needs. Methods Post qualifying nurses working in the field of neurosciences were invited to complete a self-reported 29-item on-line questionnaire that contained closed and open-ended questions exploring professional background, clinical and educational experience, educational opportunities available to them and their perspectives on their educational needs. Results 154 participants from fourteen countries across Europe completed the survey. 75% (n = 110) of respondents had undertaken neuroscience focused education with the most accessible education opportunities found to be conferences 77% (n = 96) and study days 69% (n = 86). Overall, 52.6% of courses were multidisciplinary in nature, and 47.4% were exclusively nursing. Most identified that their courses were funded by their employer (57%, n = 63) or partly funded by their employer. Results illustrate a significant variance across Europe, highlighting the need for more effective communication between neuroscience nurses across Europe. Implications for future education provision, recruitment/retention, and funding are discussed, resulting in recommendations for the future of neuroscience nursing. Conclusions This study, the largest of its kind to survey neuroscience nurses, illustrates the absence of a cohesive career development pathway for neuroscience nurses in Europe. Nurses need quality assured specialist education to deliver high quality appropriate healthcare

    The nuclear oncogene SET controls DNA repair by KAP1 and HP1 retention to chromatin

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    Cells experience damage from exogenous and endogenous sources that endanger genome stability. Several cellular pathways have evolved to detect DNA damage and mediate its repair. Although many proteins have been implicated in these processes, only recent studies have revealed how they operate in the context of high-ordered chromatin structure. Here, we identify the nuclear oncogene SET (I2PP2A) as a modulator of DNA damage response (DDR) and repair in chromatin surrounding double-strand breaks (DSBs). We demonstrate that depletion of SET increases DDR and survival in the presence of radiomimetic drugs, while overexpression of SET impairs DDR and homologous recombination (HR)-mediated DNA repair. SET interacts with the Kruppel-associated box (KRAB)-associated co-repressor KAP1, and its overexpression results in the sustained retention of KAP1 and Heterochromatin protein 1 (HP1) on chromatin. Our results are consistent with a model in which SET-mediated chromatin compaction triggers an inhibition of DNA end resection and HR

    Nurse staffing, medical staffing and mortality in intensive care: an observational study

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    Objectives: To investigate whether the size of the workforce (nurses, doctors and support staff) has an impact of the survival chances of critically ill patients both in the intensive care unit (ICU) and in the hospital. Background: Investigations of intensive care outcomes suggest that some of the variation in patient survival rates might be related to staffing levels and workload, but the evidence is still equivocal. Data: Information about patients, including the outcome of care (whether the patient lived or died) came from the Intensive Care National Audit & Research Centre (ICNARC) Case Mix Programme. An Audit Commission survey of ICUs conducted in 1998 gave information about staffing levels. The merged dataset had information on 65 ICUs and 38,168 patients. This is currently the best available dataset for testing the relationship between staffing and outcomes in UK ICUs Design: A cross-sectional, retrospective, risk adjusted observational study. Methods: Multivariable, multilevel logistic regression. Outcome Measures: ICU and in-hospital mortality. Results: After controlling for patient characteristics and workload we found that higher numbers of nurses per bed and higher numbers of consultants were associated with higher survival rates. Further exploration revealed that the number of nurses had the greatest impact on patients at high risk of death whereas the effect of medical staffing was across the range of patient acuity. No relationship between patient outcomes and the number of support staff was found. Distinguishing between direct care and supernumerary nurses and restricting the analysis to patients who had been in the unit for more than 8 hours made little difference to the results. Separate analysis of in-unit and in-hospital survival showed that the clinical workforce in intensive care had a greater impact on ICU mortality than on hospital mortality which gives the study additional credibility. Conclusion: This study supports claims that the availability of medical and nursing staff is associated with the survival of critically ill patients and suggests that future studies should focus on the resources of the health care team. The results emphasise the urgent need for a prospective study of staffing levels and the organisation of care in ICUs

    The relationship between nurse staffing and inpatient complications

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    Aim: To compare characteristics of hospitalizations with and without complications and examine the impact of nurse staffing on inpatient complications across different unit types. Background: Studies investigating the relationship between nurse staffing and inpatient complications have not shown consistent results. Methodological limitations have been cited as the basis for this lack of uniformity. Our study was designed to address some of these limitations. Design: Retrospective longitudinal hospitalization-level study. Method: Adult hospitalizations to high intensity, general medical and general surgical units at three metropolitan tertiary hospitals were included. Data were sourced from Western Australian Department of Health administrative data collections from 2004–2008. We estimated the impact of nurse staffing on inpatient complications adjusted for patient and hospital characteristics and accounted for patients with multiple hospitalizations. Results: The study included 256,984 hospitalizations across 58 inpatient units. Hospitalizations with complications had significantly different demographic characteristics compared with those without. The direction of the association between nurse staffing and inpatient complications was not consistent for different inpatient complications, nurse skill mix groups or for hospitalizations with different unit movement patterns. Conclusion: Our study design addressed limitations noted in the field, but our results did not support the widely held assumption that improved nurse staffing levels are associated with decreased patient complication rates. Despite a strong international focus on improving nurse staffing to reduce inpatient complications, our results suggest that adding more nurses is not a panacea for reducing inpatient complications to zero

    Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study

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    Background Austerity measures and health-system redesign to minimise hospital expenditures risk adversely affecting patient outcomes. The RN4CAST study was designed to inform decision making about nursing, one of the largest components of hospital operating expenses. We aimed to assess whether differences in patient to nurse ratios and nurses' educational qualifications in nine of the 12 RN4CAST countries with similar patient discharge data were associated with variation in hospital mortality after common surgical procedures. Methods For this observational study, we obtained discharge data for 422 730 patients aged 50 years or older who underwent common surgeries in 300 hospitals in nine European countries. Administrative data were coded with a standard protocol (variants of the ninth or tenth versions of the International Classification of Diseases) to estimate 30 day in-hospital mortality by use of risk adjustment measures including age, sex, admission type, 43 dummy variables suggesting surgery type, and 17 dummy variables suggesting comorbidities present at admission. Surveys of 26 516 nurses practising in study hospitals were used to measure nurse staffing and nurse education. We used generalised estimating equations to assess the effects of nursing factors on the likelihood of surgical patients dying within 30 days of admission, before and after adjusting for other hospital and patient characteristics. Findings An increase in a nurses' workload by one patient increased the likelihood of an inpatient dying within 30 days of admission by 7% (odds ratio 1·068, 95% CI 1·031–1·106), and every 10% increase in bachelor's degree nurses was associated with a decrease in this likelihood by 7% (0·929, 0·886–0·973). These associations imply that patients in hospitals in which 60% of nurses had bachelor's degrees and nurses cared for an average of six patients would have almost 30% lower mortality than patients in hospitals in which only 30% of nurses had bachelor's degrees and nurses cared for an average of eight patients. Interpretation Nurse staffing cuts to save money might adversely affect patient outcomes. An increased emphasis on bachelor's education for nurses could reduce preventable hospital deaths. Funding European Union's Seventh Framework Programme, National Institute of Nursing Research, National Institutes of Health, the Norwegian Nurses Organisation and the Norwegian Knowledge Centre for the Health Services, Swedish Association of Health Professionals, the regional agreement on medical training and clinical research between Stockholm County Council and Karolinska Institutet, Committee for Health and Caring Sciences and Strategic Research Program in Care Sciences at Karolinska Institutet, Spanish Ministry of Science and Innovation

    Nurse forecasting in Europe (RN4CAST): Rationale, design and methodology

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    Contains fulltext : 97171.pdf (postprint version ) (Open Access)BACKGROUND: Current human resources planning models in nursing are unreliable and ineffective as they consider volumes, but ignore effects on quality in patient care. The project RN4CAST aims innovative forecasting methods by addressing not only volumes, but quality of nursing staff as well as quality of patient care. METHODS/DESIGN: A multi-country, multilevel cross-sectional design is used to obtain important unmeasured factors in forecasting models including how features of hospital work environments impact on nurse recruitment, retention and patient outcomes. In each of the 12 participating European countries, at least 30 general acute hospitals were sampled. Data are gathered via four data sources (nurse, patient and organizational surveys and via routinely collected hospital discharge data). All staff nurses of a random selection of medical and surgical units (at least 2 per hospital) were surveyed. The nurse survey has the purpose to measure the experiences of nurses on their job (e.g. job satisfaction, burnout) as well as to allow the creation of aggregated hospital level measures of staffing and working conditions. The patient survey is organized in a sub-sample of countries and hospitals using a one-day census approach to measure the patient experiences with medical and nursing care. In addition to conducting a patient survey, hospital discharge abstract datasets will be used to calculate additional patient outcomes like in-hospital mortality and failure-to-rescue. Via the organizational survey, information about the organizational profile (e.g. bed size, types of technology available, teaching status) is collected to control the analyses for institutional differences.This information will be linked via common identifiers and the relationships between different aspects of the nursing work environment and patient and nurse outcomes will be studied by using multilevel regression type analyses. These results will be used to simulate the impact of changing different aspects of the nursing work environment on quality of care and satisfaction of the nursing workforce. DISCUSSION: RN4CAST is one of the largest nurse workforce studies ever conducted in Europe, will add to accuracy of forecasting models and generate new approaches to more effective management of nursing resources in Europe
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