Campus Location

Dallas Campus (Online)

Date of Award

4-2020

ORCID

https://orcid.org/0000-0002-5276-7604

Department

Nursing

Degree Name

Doctor of Nursing Practice

Committee Chair or Primary Advisor

Linda Gibson

Second Committee Member or Secondary Advisor

Sandra Cleveland

Third Committee Member or Committee Reader

Lawrence Santiago

Abstract

Newly licensed graduate nurses are transitioning to practice with low self-efficacy and competency gaps leading to poor patient outcomes and low retention rates within this population of nurses. These low rates of retention create an environment in which newly licensed graduate nurses have failed or are delayed in their transition from novice to expert. The purpose of this study was to evaluate the impact of the implementation of the Vizient/AACN nurse residency program on the first-year retention rate of newly licensed graduate nurses within an organization in central Texas. The program was evaluated utilizing newly licensed graduate nurse pre- and postimplementation data related to retention rates of the organization and the Casey Fink Graduate Nurse Experience Survey. The study design was a quantitative approach utilizing a cross-sectional survey. A convenience sample of newly licensed graduate nurses hired from November 2017 to September 2018 was used. All 48 residents enrolled in the nurse residency program were included in the study. Data were analyzed utilizing a power analysis and a paired- samples t test. The sample size was lower than 43, indicating a low confidence level. A strong correlation was noted for a standardized NRP and self-efficacy (r = .822), but there was no significant difference identified between pretest and posttest means (p > .05). Retention rates improved by 11.65% following implementation of the NRP. Findings of this study can influence the development of standardized NRPs which could increase self-efficacy and reduce turnover rates among newly licensed graduate nurses.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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