Nurse Retention

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The critiqued article, “Identifying the Key Predictors for Retention in Critical Care Nurses,” by Jo-Ann V. Sawatzky, Carol L. Enns, and Carole Legare, is a study of the key predictors in determining the retention of nurses who work in critical care areas. The abstract is complete, concise and comprehensible. The problem identified a shortage of nurses working in critical care areas, and the purpose of this study is to identify key factors leading to sparsity in critical care areas in hospitals. This is a significant problem, due to the shortage of critical care nurses being an ongoing issue, and reaching a crisis point throughout the world. (Sawatzky, Enns, & Legare, 2015).
Review of the Literature
The problem being studied is the increasing …show more content…

The sample sent out a questionnaire package which included the consent form and invitations to participate in the study via the web-based Survey Monkey. Confidentiality was maintained, because the CRNM did not have access to the Survey Monkey or the participants identity. All participants who returned their completed questionnaire was considered as consent to participate in the study. (Sawatzky, Enns, & Legare, 2015).

Researchers Interpretation of Findings
In table one, it provides a summary of demographical data, which includes age, gender, marital status, education, employment status, shift work, etc. These factors were investigated to distinguish between numerous factors and what affect they may have on nurses leaving critical care areas. Table two demonstrates influencing factors, such as nurse competence, nurse expertise, autonomy, years as a nurse, control and responsibility etc. This table also demonstrated intermediary factors, such as job satisfaction, engagement, compassion satisfaction, burnout, etc. Table three represents the data analyzed. The results of this study suggest that intermediary factors were very persuasive predictors in the intent to leave. One limitation of the study was that it included the cross-sectional design. Another limitation of the study was the convenience sampling which may have increased the risk of bias. Other limitations included the study not having longitudinal data, the representative sample included were older than they typical profile and included a smaller sample size. A larger sample size would have made the study stronger. (Sawatzky, Enns, & Legare,

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