Basham, Matthew J.(2010). Dynamic leadership development in community college administration: Theories, applications, and implications. Consultado en Abril 8 2010 en http://web.ebscohost.com/ehost/detail?vid=4&hid=107&sid=1e931e31-dede-4352-af54-df8339cb1697%40sessionmgr113&bdata=Jmxhbmc9ZXMmc2l0ZT1laG9zdC1saXZl#db=afh&AN=48860715#db=afh&AN=48860715
Leaders and managers in community colleges need to be flexible in their everyday job roles and responsibilities. Teams are widely used to serve specific purposes in community college administration. Adopting the research of several Harvard scholars, the authors remind community college administrators when creating dynamic teams to keep a careful balance of leaders and managers.
Biron, Alain D.(2010). Characteristics of Work Interruptions During Medication Administration. consultado en Abril 8 del 2010 en http://web.ebscohost.com/ehost/detail?vid=2&hid=107&sid=b5f761fd-be01-4f45-9846-190a7d6e5ae4%40sessionmgr110&bdata=Jmxhbmc9ZXMmc2l0ZT1laG9zdC1saXZl#db=afh&AN=45393328
characteristics of nurses’ work interruptions (WIs) during medication administration. Design: A descriptive observational study design was used along with a sample of 102 medication administration rounds. Data were collected on a single medical unit using a unit dose distribution system during fall 2007. Method: Data collection on WIs relied on direct structured observation. The following WI characteristics were recorded: source, secondary task, location, management strategies, and duration. Results: 374 WIs were observed over 59 hours 2 minutes of medication administration time (6.3 WI/hr). During the preparation phase, nurse colleagues ( n= 36; 29.3%) followed by system failures such as missing medication or equipment ( n= 28; 22.8%) were the most frequent source of WIs. Nurses were interrupted during the preparation phase mostly to solve system failures
Oplatka, Izhar.(2010). Educational Administration as a Contextually Based Field of Study: Reflections from the 2008 Commonwealth Council for Educational Administration and Management Conference in South Africa. consultado en Abril 8 del 2010 en http://web.ebscohost.com/ehost/detail?vid=2&hid=107&sid=b5f761fd-be01-4f45-9846-190a7d6e5ae4%40sessionmgr110&bdata=Jmxhbmc9ZXMmc2l0ZT1laG9zdC1saXZl#db=afh&AN=45666737
The analysis reveals certain prevalent topics, such as leadership, organisational aspects of schools, principal preparation and development, and policy implications, compared to other areas of interest in the field. Special attention is given in this article to the similarities and differences in national and cultural contexts as well as a comparison of the topics addressed at the current CCEAM Conference that was held in Cyprus in 2006. It concludes by discussing some contextual influences upon the current knowledge base in the field of educational administration.
Sakowski, Julie (2010). Severity of medication administration errors detected by a bar-code medication administration system. consultado en Abril 8 del 2010. en http://web.ebscohost.com/ehost/detail?vid=2&hid=107&sid=b5f761fd-be01-4f45-9846-190a7d6e5ae4%40sessionmgr110&bdata=Jmxhbmc9ZXMmc2l0ZT1laG9zdC1saXZl#db=afh&AN=33985517
The severity of medication administration errors detected by a bar-code medication administration (BCMA) system was studied. Methods. A panel of six health care providers reviewed medication administration error scenarios created from BCMA error logs at six community hospitals. Each scenario was rated on the potential to cause patient harm, taking into account the severity of the potential outcome and the probability that the patient would be harmed. A severity score for each error was determined by averaging the individual reviewers' scores. Results. The majority of the medication administration errors identified by the BCMA system were judged to be benign; 1% of the errors reviewed were rated as having the potential to result in a severe or life-threatening adverse event, 8% were judged to have the potential to produce moderate adverse effects, and 91% were expected to produce minimal, if any, clinical effects. Medication errors due to a dose being administered when there was no corresponding order in the computer system were significantly more likely to produce moderate or severe outcomes than other types of medication errors. Errors that involved medications designated as high-alert drugs were also more likely to produce moderate or severe adverse events than non-high-alert drugs.