Background: The demand for doctorally prepared nurses worldwide is higher than ever. Universities have responded with increased numbers of DNP and Ph.D. in Nursing programs. There are more doctoral nursing students than ever before yet they remain one of the least studied student populations. This is concerning given the high attrition rates reported in doctoral programs. The few studies that do exist are typically qualitative and exploratory in nature.
Objectives: The aim of this national study of Ph.D. and DNP students was to examine how the effects of environmental stressors predict the students' intent to leave their current program of doctoral study.
Design: A descriptive survey design was utilized for the study.
Settings: Participation requests were sent by email to deans/directors of all Ph.D. and DNP programs across the United States, with the request to forward to all currently enrolled students.
Participants: Eight hundred and thirty-five (n=835) Ph.D. and DNP participants responded to this survey.
Methods: The survey was analyzed utilizing path analysis.
Results: Findings of the path analysis indicate that two types of stress significantly predicted students' intention to leave. First, stressors related to program issues, primarily relationships between student and faculty/advisor, significantly predict intent to leave. As program stressors rise, so does intent to leave. The other significant factor was related to support issues, specifically support from family/friends. This inverse relationship indicated as family support declines, intent to leave rises.
Conclusions: It is impossible to remove all stressors from students' lives during their doctoral studies. A better understanding of the environmental stressors that affect them offers the potential for nursing programs looking to incorporate adequate resources and support which will help minimize attrition and promote persistence of their doctoral students. Specific recommendations are provided that may assist programs looking to decrease doctoral nursing student attrition.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.nedt.2017.11.033 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimizing a care delivery model to influence clinical nurses' perception of the practice environment, job enjoyment, and intent to leave.
Nurs Manage
January 2025
At Penn Medicine Princeton Health in Plainsboro, N.J., Karyn A. Book is the CNO, Jennifer Hollander is the director of nursing, and Kari A. Mastro is the director of Practice, Innovation & Research. Dr. Mastro is also faculty at the University of Pennsylvania in Philadelphia, Pa.
Money plant disease atlas: A comprehensive dataset for disease classification in ornamental horticulture.
Data Brief
February 2025
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.
Epipremnum aureum, sometimes known as the Money Plant, is a popular houseplant known for its hearts-shaped leaves and durability. Commonly referred to as Golden Pothos or Devil's Ivy, it is also appreciated for its ornamental value and air cleaning ability. They say that these plants are attractive to many people owing to their tolerance to several conditions and easy care, therefore, it is no surprise that they are found in many households and workplaces.
View Article and Find Full Text PDFAim: The objectives of this study were to determine the prevalence of burnout risk and intention-to-leave among intensive care unit (ICU) nurses and analyse the association of these with workload and work environment.
Design: A cross-sectional survey of nurses working in ICUs was conducted in France between 15 January 2024 and 15 April 2024 alongside a longitudinal assessment of workload during the same period.
Methods: ICU nurse workload was assessed using the Nursing Activities Score (NAS).
Examining sustainable hospitality practices and employee turnover in Pakistan: The interplay of robotics awareness, mutual trust, and technical skills development in the age of artificial intelligence.
J Environ Manage
January 2025
School of Business Administration (MBA School), Zhejiang Gongshang University, Hangzhou, 310018, China; Modern Business Research Center of Zhejiang Gongshang University, China. Electronic address:
Integrating robots and artificial intelligence (AI) into workplaces is becoming increasingly prevalent across various sectors, including hospitality. This trend has raised concerns regarding employee anxiety and the potential for higher turnover intentions, particularly when AI technologies are perceived to undermine professional expertise. This study explores the relationship between awareness of robotics and AI and employee turnover intentions, framed within the Conservation of Resources Theory (COR).
View Article and Find Full Text PDFWork engagement, resilience and turnover intentions among nurses: a mediation analysis.
BMC Health Serv Res
January 2025
Department of Nursing, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Introduction: Healthcare organizations experience difficult challenges as a result of nursing staff turnover. This is because it not only interrupts continuity of service but also its financial implications.
Aim: The purpose of the study was to find out the effects of work engagement on nurses' intentions to leave their jobs while considering resilience as a mediating factor.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!