Outcome assessment (Medical care)

The purpose of this study was to determine the relationships between the nurses' decision making model, frequency of Rapid Response Team (RRT) activation, and the nurse's skill at the early recognition of clinical deterioration. A descriptive, cross sectional quantitative design was used. The participants in this study were 167 acute care registered nurses who had activated the RRT at least once in the preceding 12 months. The participants first were asked to recall a time when they had made the decision to activate the RRT and then were asked to complete the instruments used in this study. Using the Nurse Decision-Making Instrument, the participant's decision making model then was categorized as analytic, intuitive, or mixed. The skill at early recognition of clinical deterioration was measured with the Manifestations of Early Recognition Instrument. Participant scores on the two instruments were significantly correlated with each other as well as to their frequency of RRT activation over the preceding 12 months. The findings of this study indicated that nurses who used analytical decision making activated the RRT with greater frequency than either the intuitive or mixed decision makers. In addition, registered nurses who used analytical decision making to activate the RRT tended to have higher levels of skill in the early recognition of clinical deterioration, as measured by the MER, than either the intuitive or mixed decision makers. Another finding of this study was that RNs with higher levels of skill in the early recognition of clinical deterioration tended to activate the RRT more frequently than RNs with lower levels of this skill. The implications of this study are that the use of analytical decision making may result in more frequent activation of the RRT.

The relationship between Public Administration and the people is one that requires legitimacy and compromise in order to solve complex problems. Individuals with intellectual and developmental disabilities (IDD) and their families during the last fifty years have put forth an agenda that calls for the advancement of rights for the disabled and more integration into the larger society. In this arena, government, with post civil rights legislation like the 1990 Americans with Disabilities Act (ADA), plays a huge role in promoting social awareness and bringing down barriers of stigmatization, understanding, and access. This struggle is fought on many fronts. A significant part of the effort focuses on moving the locus of long-term care of the disabled, including the IDD population, from an institutional setting to the least restrictive setting that will foster social ties and integration. Since the early 1980s as part of this effort to deinstitutionalize the disabled, legislation at both the federal and state level has supported and incentivized the creation of Home and Community Based Service (HCBS) programs. HCBS waivers, as they are typically called, are also promoted as a means of containing government expenditures for long-term care. However, the effectiveness of these waivers is poorly understood. The critical questions being - Do HCBS waivers promote and create an environment that increases awareness of the needs of IDD individuals? Do the programs help reduce stigmatization, promote understanding, and increase access to services and activities that foster social interaction? Or, do HCBS waivers create a new "iron cage" where the intellectually or developmentally disabled are once again relegated to existing as second class citizens? In this research, programs are mapped and then evaluated to paint a better picture of how HCBS waivers change long-term care.

Purpose: To evaluate the influence of physical fitness on the metabolic and perceptual responses to chest compression-only (CCO) CPR. Methods: In a counterbalanced design, forty-seven CPR-certified participants were randomized to perform: 1) a fitness assessment in which muscular (e.g., push-ups = PU) and cardiorespiratory endurance (e.g., step test recovery heart rate = RHR) were determined, and 2) a 10-minute CCO-CPR trial in which the heart rate (HR) response and ratings of perceived exertion (RPE) were determined. Results: Both PU and RHR were significantly correlated to the HR response to CCO-CPR (r = - 0.45, p < 0.01; r = 0.54, p < 0.001). PU were significantly correlated to RPE: local muscular (r = - 0.43; p < 0.01), central (r = - 0.45; p < 0.01), and over-all (r = - 0.39; p < 0.01). Conclusions: Greater physical fitness lessens the metabolic and perceptual strain to CCO-CPR.

The objective of this study was to determine whether 11 independent variables or combinations of variables help to predict a diabetes-related hospital readmission for patients with diabetes within 60 days from discharge. The variables were categorized into four main groups: (a) patient characteristics, (b) lifestyle, (c) biomarkers, and (d) disease management aspects. A convenience sample of 389 historical medical records of patients who were admitted to a rural hospital in northeastern North Carolina with a diagnosis of, or relating to, diabetes was studied. After comparing predictive discriminant analysis (PDA) and logistic regression (LR), PDA performed better and was chosen to analyze a convenience sample of patients admitted to the hospital for a diabetes-related diagnosis from January, 2004 to December, 2006. The best overall subset accurately classified 27 cases with six predictors that included (a) systolic blood pressure, (b) smoking status, (c) blood glucose range, (d) ethnicity, (e) diabetes education, and (f) diastolic blood pressure. In an effort to simplify the prediction process, the subsets of two predictors were examined. The results of the analysis returned four subsets of 2-predictor variable combinations that correctly classified cases for readmission. Each of the four subsets has two predictors that are statistically and practically significant for predicting readmissions for a diabetes-related problem within fewer than 60 days. These combinations are the predictor subsets of (a) smoking status and being treated by a specialist or non-specialist physician, (b) a religious affiliation or a lack thereof and smoking status, (c) gender and smoking status, and (d) smoking status and ethnicity.

Promoting healthcare and wellbeing requires the dedication of a multi-tiered health service delivery system, which is comprised of specialists, medical doctors and nurses. A holistic view to a patient care perspective involves emotional, mental and physical healthcare needs, in which caring is understood as the essence of nursing. Properly and efficiently capturing and managing nursing knowledge is essential to advocating health promotion and illness prevention. This thesis proposes a document-indexing framework for automating classification of nursing knowledge based on nursing theory and practice model. The documents defining the numerous categories in nursing care model are structured with the help of expert nurse practitioners and professionals. These documents are indexed and used as a benchmark for the process of automatic mapping of each expression in the assessment form of a patient to the corresponding category in the nursing theory model. As an illustration of the proposed methodology, a prototype application is developed using the Latent Semantic Indexing (LSI) technique. The prototype application is tested in a nursing practice environment to validate the accuracy of the proposed algorithm. The simulation results are also compared with an application using Lucene indexing technique that internally uses modified vector space model for indexing. The result comparison showed that the LSI strategy gives 87.5% accurate results compared to the Lucene indexing technique that gives 80% accuracy. Both indexing methods maintain 100% consistency in the results.