scholarly journals Nurse Retention in Workplace Adversity

2021 ◽  
Author(s):  
◽  
Deborah Lewis

Practice Problem: Nurse turnover rate and lack of retention are issues that have an impact on safe patient care, patient mortality, quality outcomes, and patient experiences in the acute care units at the identified project setting. Turnover leads to excess labor utilization of overtime and increased hospital costs. PICOT: The PICOT question that guided this project was (P) In acute care hospital nurses, how do (I) nurse retention strategies (C) compared with no nurse retention strategies (O) reduce nurses’ intention to leave and increase job satisfaction over (T) eight weeks? Evidence: Twenty-one articles were reviewed that identified autonomy, recognition, acknowledgement, communication, and transformational leadership as nurse retention strategies, which contributed to a positive workplace environment and led to improved job satisfaction and nurse retention. Intervention: The intervention consisted of focused communication that included staff recognition and acknowledgement by the nurse leaders of each unit, which had a positive effect on the workplace environment and job satisfaction. Outcome: The results indicated a statistically insignificant change in job satisfaction and intent to stay yet did show a clinical significance. Conclusion: The benefit of the project was that there was a clinically significant change in behaviors including: verbal expressions of increased job satisfaction, notable positive attitudes and hopefulness, as well as staff resilience. Consistent leadership and a larger sample size may produce statistical significance in a future study.

PEDIATRICS ◽  
1997 ◽  
Vol 99 (5) ◽  
pp. 715-721
Author(s):  
David W. Christensen ◽  
Paul Jansen ◽  
Ronald M. Perkin

Objective. Predictive efforts using individual factors or scoring systems do not adequately identify all intact survivors, and therefore all drowning victims are aggressively resuscitated in most emergency departments. More reliable outcome prediction is needed to guide early treatment decisions. Methods. The charts of 274 near drowning patients admitted to Loma Linda University Children's Hospital were retrospectively reviewed. Patient outcome was categorized into good (near normal function), and poor (vegetative or dead) categories. Discriminant analysis was used to identify combinations of variables most able to predict outcome and a clinical classification system was constructed. The acute care hospital costs for each group were compared. Results. Discriminant analysis classification achieved 95% accuracy, predicting death in 6 intact survivors. No combination of variables could accurately separate all intact survivors from the vegetative and dead groups. The clinical classification method achieved 93% overall accuracy, predicting death in 5 intact survivors. Of patients predicted to have a poor outcome, 5 (6.3%) survived intact. Children may experience an unpredictable, prolonged vegetative state followed by full recovery. Vegetative patients are the most expensive to care for (consuming 53% of total costs) while intact survivors are the least expensive. The majority of costs were spent on patients with poor outcome. Conclusions. Individual outcome cannot be reliably predicted in the emergency department; therefore, aggressive resuscitation of near drowning victims should be performed. Decisions to subsequently withdraw life support should be made based on integration of likelihood of survival, high (but not absolute) certainty, and parental/societal issues. The vegetative patients are the most expensive to care for, while intact survivors are least expensive. Reduction of expenditures on patients likely to have vegetative or dead outcome would result in substantial savings, but loss of normal survivors.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Sinha Chandni Sen ◽  
LaSalle Colette ◽  
Argabright Debra ◽  
Hollenbeck Clarie B

2021 ◽  
pp. 1-7
Author(s):  
Martina Madl ◽  
Marietta Lieb ◽  
Katharina Schieber ◽  
Tobias Hepp ◽  
Yesim Erim

<b><i>Background:</i></b> Due to the establishment of a nationwide certification system for cancer centers in Germany, the availability of psycho-oncological services for cancer patients has increased substantially. However, little is known about the specific intervention techniques that are applied during sessions in an acute care hospital, since a standardized taxonomy is lacking. With this study, we aimed at the investigation of psycho-oncological intervention techniques and the development of a comprehensive and structured taxonomy thereof. <b><i>Methods:</i></b> In a stepwise procedure, a team of psycho-oncologists generated a data pool of interventions and definitions that were tested in clinical practice during a pilot phase. After an adaptation of intervention techniques, interrater reliability (IRR) was attained by rating 10 previously recorded psycho-oncological sessions. A classification of interventions into superordinate categories was performed, supported by cluster analysis. <b><i>Results:</i></b> Between April and June 2017, 980 psycho-oncological sessions took place. The experts agreed on a total number of 22 intervention techniques. An IRR of 89% for 2 independent psycho-oncological raters was reached. The 22 techniques were classified into 5 superordinate categories. <b><i>Discussion/Conclusion:</i></b> We developed a comprehensive and structured taxonomy of psycho-oncological intervention techniques in an acute care hospital that provides a standardized basis for systematic research and applied care. We expect our work to be continuously subjected to further development: future research should evaluate and expand our taxonomy to other contexts and care settings.


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