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Increasing Confidence Level And Retention Rate Of New Nurses Essay

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Increasing Confidence Level and Retention Rate of New Nurses in a Hospital Setting The U.S. Bureau of Labor Statistics (USBLS) estimates the need for 439,300 registered nurses (RN) from 2014 to 2024, equating to a 16% increase in employment opportunities (USBLS, 2015). Approximately 30% of new RNs leave their first jobs with less than a year of hire and 525,000 nurses are expected to retire from 2012 to 2022- a demand totaled to around 1 million jobs by 2022. This increase is attributed to retiring baby boomers, turnovers, healthcare reform, and the increasing aging population (Kiel, 2012; USBLS, 2013). Control over the retirement of baby boomers is unrealistic, however, nursing turnover can be regulated. Background Staff satisfaction is empirical in retention of nurses in any healthcare setting. Although a slight turnover is necessary to maintain the diversity of ideas, too much of it causes instability that might affect patient and employee satisfaction negatively (Marquis & Huston, 2015). The planned change is to be executed at a small, private hospital (SPH) in Los Angeles with a 200-bed capacity, which offers emergency and medical-surgical services for adults. After a six-week hospital orientation, only 20% of new RNs hired at SPH in 2015 rated their confidence levels at >70% (Appendix A). Out of 32 new hires, 7 left during orientation, and 12 left before reaching 1 year- leading to 41% retention or a 59% turnover (Appendix B). The RN turnover of SPH is thrice the

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