Evidence Based Evaluation

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The evaluation of evidence-based needs, implementation and outcomes is a vital part of the research process, according to Jacobs et al (2012). The need for evidence-based research is evaluated through Formative Evaluation, the implementation through Process Evaluation, and the outcomes by Impact Evaluation. The aim of this paper is to describe a Process Evaluation for the initiative of Daily Safety Briefings as a strategy to develop high reliability and reduce errors affecting patient safety.
For many years the local organization has collected data, information that reflects patient and staff satisfaction, patient demographics, length of stay, and critical incidents. Each critical incident is logged using MIDAS software; allowing for documentation
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This suggests historical reliability for MIDAS, and according to Phelan and Wren (2006) demonstrates test-retest reliability for consecutive years, suggesting that MIDAS is a stable tool for this purpose. Phelan and Wren (2006) describe that construct validity has been achieved, because MIDAS is specifically engineered to measure and correlate errors. Applicability, according to Atkins et al (2011), should be addressed in four steps. Firstly, a PICOT question should be formalized that specifically addresses the issue. Consequently, the question being asked is: In the nursing population do daily senior management safety briefings facilitate eradication of errors and faster follow-up of safety issues, compared to other forms of communication, over a six month period? The next step, according to Atkins et al (2011) is to systematically identify key characteristics from the data. As MIDAS uses a classification system already (e.g. medications errors are not categorized as pressure ulcers), there is an automated process currently in place. Step three in the process is to acknowledge limitations. In this situation there are very definite limitations that should be exposed; the inherent risk of staff not reporting issues and external factors that may increase errors, such as staffing levels. Step four is to summarize a body of evidence that supports the

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