Evidence based practice readiness: A concept analysis.

AIM: To analyse and define the concept "evidence based practice readiness" in nurses. BACKGROUND: Evidence based practice readiness is a term commonly used in health literature, but without a clear understanding of what readiness means. Concept analysis is needed to define the meaning of evidence based practice readiness. METHOD: A concept analysis was conducted using Walker and Avant's method to clarify the defining attributes of evidence based practice readiness as well as antecedents and consequences. A Boolean search of PubMed and Cumulative Index for Nursing and Allied Health Literature was conducted and limited to those published after the year 2000. Eleven articles met the inclusion criteria for this analysis. RESULTS: Evidence based practice readiness incorporates personal and organisational readiness. Antecedents include the ability to recognize the need for evidence based practice, ability to access and interpret evidence based practice, and a supportive environment. CONCLUSION: The concept analysis demonstrates the complexity of the concept and its implications for nursing practice. The four pillars of evidence based practice readiness: nursing, training, equipping and leadership support are necessary to achieve evidence based practice readiness. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse managers are in the position to address all elements of evidence based practice readiness. Creating an environment that fosters evidence based practice can improve patient outcomes, decreased health care cost, increase nurses' job satisfaction and decrease nursing turnover.

Measuring Nursing Value from the Electronic Health Record.

We report the findings of a big data nursing value expert group made up of 14 members of the nursing informatics, leadership, academic and research communities within the United States tasked with 1. Defining nursing value, 2. Developing a common data model and metrics for nursing care value, and 3. Developing nursing business intelligence tools using the nursing value data set. This work is a component of the Big Data and Nursing Knowledge Development conference series sponsored by the University Of Minnesota School Of Nursing. The panel met by conference calls for fourteen 1.5 hour sessions for a total of 21 total hours of interaction from August 2014 through May 2015. Primary deliverables from the bit data expert group were: development and publication of definitions and metrics for nursing value; construction of a common data model to extract key data from electronic health records; and measures of nursing costs and finance to provide a basis for developing nursing business intelligence and analysis systems.

Is there a business case for magnet hospitals? Estimates of the cost and revenue implications of becoming a magnet.

BACKGROUND: Although Magnet hospitals (MHs) are known for their better nursing care environments, little is known about whether MHs achieve this at a higher (lower) cost of health care or whether a superior nursing environment yields higher net patient revenue versus non-MHs over an extended period of time. OBJECTIVE: To examine how achieving Magnet status is related to subsequent inpatient costs and revenues controlling for other hospital characteristics. DATA AND METHODS: Data from the American Hospital Association Annual Survey, Hospital Cost Reporting Information System reports collected by Centers for Medicare & Medicaid Services, and Magnet status of hospitals from American Nurses Credentialing Center from 1998 to 2006 were combined and used for the analysis. Descriptive statistics, propensity score matching, fixed-effect, and instrumental variable methods were used to analyze the data. RESULTS: Regression analyses revealed that MH status is positively and significantly associated with both inpatient costs and net inpatient revenues for both urban hospitals and all hospitals. MH status was associated with an increase of 2.46% in the inpatient costs and 3.89% in net inpatient revenue for all hospitals, and 2.1% and 3.2% for urban hospitals. CONCLUSIONS: Although it is costly for hospitals to attain Magnet status, the cost of becoming a MH may be offset by higher net inpatient income. On average, MHs receive an adjusted net increase in inpatient income of $104.22-$127.05 per discharge after becoming a Magnet which translates to an additional $1,229,770-$1,263,926 in income per year.