A model of staff nurses experiences of delivering nursing care on a workshift

2.50
Hdl Handle:
http://hdl.handle.net/10755/152160
Type:
Presentation
Title:
A model of staff nurses experiences of delivering nursing care on a workshift
Abstract:
A model of staff nurses experiences of delivering nursing care on a workshift
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:Schmidt, Lee A., RN, PhD
P.I. Institution Name:Loyola University Chicago
Title:Assistant professor
Co-Authors:Carolyn L. Brown, RN, PhD
[Research Presentation] Objective: Generate and test models of staff nurses' experiences of delivering nursing care on a workshift and relate this model to a model of environmental uncertainty, job satisfaction, and anticipated turnover. Research questions generated through Delphi study with members of the Florida Organization of Nurse Executives. Design: Non-experimental model-testing. Sample:á298 Hospital-based Registered Nurses in Florida. Methods:Data were collected via a web-based survey. Data analyses included descriptive and inferential statistics as well as structural equation modeling to test models. Findings:áUnder a set of turbulent workshift circumstances, nurses reported being satisfied with the nursing care given to their patients. Yet, when asked how their patients would rate the nursing care received, nurses reported wishing they could have provided better nursing care. The level of turbulence on the workshift was strongly related to levels of uncertainty in the work environment. This uncertainty was strongly and negatively related to job satisfaction, with job satisfaction strongly and negatively related to anticipated turnover. Nurses from Magnet designated hospitals, and hospitals in the process of completing the application for Magnet designation, reported significantly lower levels of experienced workshift overload and lower anticipation of leaving their employment setting. Conclusions: Understanding the experience of providing nursing care during a workshift provides new insights in the evidence related to nurse staffing in hospitals. Nurses report doing the best they can under turbulent workshift conditions. Yet, when these same nurses consider what patients would say about the care received, nurses wish they could have done a better job at providing nursing care. Leadership should consider these perspectives when evaluating interventions directed at improving the nursing work environment. The American Organization of Nurse Executives and Florida Organization of Nurse Executives provided funding support for this study.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleA model of staff nurses experiences of delivering nursing care on a workshiften_GB
dc.identifier.urihttp://hdl.handle.net/10755/152160-
dc.description.abstract<table><tr><td colspan="2" class="item-title">A model of staff nurses experiences of delivering nursing care on a workshift</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Schmidt, Lee A., RN, PhD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Loyola University Chicago</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">lschm3@luc.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Carolyn L. Brown, RN, PhD</td></tr><tr><td colspan="2" class="item-abstract">[Research Presentation] Objective: Generate and test models of staff nurses' experiences of delivering nursing care on a workshift and relate this model to a model of environmental uncertainty, job satisfaction, and anticipated turnover. Research questions generated through Delphi study with members of the Florida Organization of Nurse Executives. Design: Non-experimental model-testing. Sample:&aacute;298 Hospital-based Registered Nurses in Florida. Methods:Data were collected via a web-based survey. Data analyses included descriptive and inferential statistics as well as structural equation modeling to test models. Findings:&aacute;Under a set of turbulent workshift circumstances, nurses reported being satisfied with the nursing care given to their patients. Yet, when asked how their patients would rate the nursing care received, nurses reported wishing they could have provided better nursing care. The level of turbulence on the workshift was strongly related to levels of uncertainty in the work environment. This uncertainty was strongly and negatively related to job satisfaction, with job satisfaction strongly and negatively related to anticipated turnover. Nurses from Magnet designated hospitals, and hospitals in the process of completing the application for Magnet designation, reported significantly lower levels of experienced workshift overload and lower anticipation of leaving their employment setting. Conclusions: Understanding the experience of providing nursing care during a workshift provides new insights in the evidence related to nurse staffing in hospitals. Nurses report doing the best they can under turbulent workshift conditions. Yet, when these same nurses consider what patients would say about the care received, nurses wish they could have done a better job at providing nursing care. Leadership should consider these perspectives when evaluating interventions directed at improving the nursing work environment. The American Organization of Nurse Executives and Florida Organization of Nurse Executives provided funding support for this study.</td></tr></table>en_GB
dc.date.available2011-10-26T11:26:08Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T11:26:08Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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