Journal List > J Korean Acad Nurs Adm > v.20(3) > 1051748

Sin, Kwon, and Kim: Factors associated with New Graduate Nurses' Reality Shock

Abstract

Purpose

The purpose of this study was to identify factors that affect reality shock in new nurses.

Methods

Participants were 216 newly graduated nurses with less than 1 year experience in 5 university and 10 general hospitals in Busan, Ulsan and Gyeongnam, A self-report questionnaire was completed by the nurses between November 18 and December 25, 2013. Data were analyzed using t-test, ANOVA and hierarchial multiple regression analysis with the SPSS/WIN 21.0 Program.

Results

Average scores for work environment and environmental reality shock were 2.63±0.33 and 2.66±0.43 points respectively. Regression analysis showed that with the nurses' demographic and work characteristics controlled, work environment explained 4.2% of the reality shock. Factors significantly affecting reality shock included nurses' changing residence because of job (β=.21, p=.001), whether they were able to work on the unit of their choice (β=-.13, p=.031) and whether they had a choice in days off (β=-.14, p=.038).

Conclusion

When these factors are considered, reduction in nurses' reality shock requires improvement in work environment, placing new nurses in a department of their choice and allowing them a choice in off-duty days. These measures would also help achieve organizational goals and develop the new nurses as professional nurses.

Figures and Tables

Table 1
General Characteristics of Participants (N=216)
jkana-20-292-i001

RN=Registered nurse.

Table 2
Nurse Practice Environment (N=216)
jkana-20-292-i002
Table 3
New Graduate Nurses' Reality Shock (N=216)
jkana-20-292-i003
Table 4
Reality Shock by General Characteristics of New Nurse & Work Characteristics (N=216)
jkana-20-292-i004

RN=Registered nurse.

Table 5
Predictors of Nurses' Reality Shock
jkana-20-292-i005

*Dummy variables: Education level (Diploma=1, Bachelor=0); Change in residence for job (Yes=1, No=0); Whether the work unit was chosen (Yes=1, No=0); Day off when they choose (Yes=1, No=0); Number of beds (<700=1,≥700=0); University hospital (Yes=1, No=0).

Notes

This work was supported by the Dong-A University research fund.

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