Preparing Novice Nurses for Early Recognition Acute Deterioration

Hospitalized patients increasingly present with complex health issues that place them at risk for acute patient deterioration (APD). Novice nurses are ill-equipped with the critical clinical skills to function competently in recognizing APD, placing patients at risk for negative health outcomes. This project addressed the need to educate novice nurses to recognize APD and answered the project focused questions that asked if an educational intervention with high-fidelity simulation (HFS) would improve nurse knowledge and clinical confidence in recognizing APD. Benner\u27s novice-to-expert and the constructivism theory were used to guide the project. Based upon a review of the literature, the HFS was developed to provide scenarios in which participants would view APD evolving case studies and demonstrate knowledge and skill for caring for patients with APD. A convenience sample of 11 novice nurses participated in the pre- and posttest design project to determine if knowledge and clinical competence increased. Data from the HFS program were analyzed; results showed no statistically significant change in knowledge or confidence post intervention (p = 0.441). A larger sample size is recommended for future HFS interventions at the site to determine if the program of education will increase knowledge and clinical confidence with future iterations of HFS. The project has the potential to promote positive social change as novice nurses learn to recognize and respond to APD and as APD events are reduced

Analysis of Patient Alarms in Adult Intensive Care Units

...Our study aims were pretty straight-forward. We concentrated quite a bit on arrhythmia alarms, which is a little different than the parameter alarms we\u27ve been talking about so far today. We decided we were going to assess the alarm prevalence of patient\u27s physiological monitor alarms. We\u27ll identify the alarm burden, analyze a select high priority number of arrhythmia alarms and determine patient characteristics that may be associated with the frequent alarms

Factors related to special educators concepts of exceptional students, regular students, and themselves

The affective meanings, defined by a semantic differential, that special educators of the mentally retarded, learning disabled and emotionally disturbed in Virginia public schools assign to their concepts of certain exceptional students, regular students, special educators, and themselves personally were explored. In addition, relationships between these affective meanings and the age, race, sex, endorsements, and experience of teachers were examined.;Mailed survey data were returned by 152 special educators from a 10% stratified random sample of Virginia public school systems. Data were analyzed using a multivariate analysis and a series of multiple regressions, and the following conclusions were drawn: (1) Virginia special educators perceived each concept studied as distinctive, with affective meanings in the moderate positive range. The exceptions were the concepts learning disabled student and regular class student which did not differ in their affective meanings. (2) The concept emotionally disturbed student was significantly higher on potency and significantly lower on evaluation than all other concepts. (3) The concept educable mentally retarded student was significantly lower on activity and potency than other concepts. (4) The concepts special educator and me (myself) were significantly higher on evaluation and activity than other concepts, but comparatively low on potency. (5) Special educators perceived exceptional students as significantly lower on activity than the non-handicapped. (6) The predictor variables (1) age, (2) race, (3) type of service delivery, (4) special education endorsement, and (5) size of employing school system were significantly correlated with several of the affective meanings studied, while level of education, length of teaching experience, sex and level of service delivery were not found to be important predictors