2.50
Hdl Handle:
http://hdl.handle.net/10755/304452
Category:
Abstract
Type:
Presentation
Title:
Analysis Strategies of the Hospital Nurse Force and Fatigue Theory
Author(s):
Drake, Diane A.
Lead Author STTI Affiliation:
Gamma Tau
Author Details:
Diane A. Drake, PhD, RN, diane.drake@stjoe.org
Abstract:

Session presented on: Tuesday, July 23, 2013

Purpose: The purpose of this presentation is to describe strategies used to test the Hospital Nurse Force and Fatigue Theory. The theory was designed to clarify the investigation of hospital nurse fatigue and patient harm. The theory was presented at the 2012 STTI research conference and has been published.

Methods: There were two primary strategies used to guide theory testing: a mathematical formula using an equation derived from physics and a statistical confirmatory factor analysis methodology. The statistical confirmatory factor analyses are represented in three phases: preparation, model testing, and reporting the results. Model testing is divided into: specification, identification, estimation, evaluation and modification. Analyses are reported with standardized regression coefficient of the items related to the latent variables and squared multiple correlations related to error terms and the model’s goodness of fit indexes. The mathematical formula used to test Hospital Nurse Force is Force = Mass x Acceleration where Nurse Force = The Essential work of Hospital Nurses, Mass = Nurse (Wellness + Professionalism + Education) and Acceleration = Hospital Bio-Political Environment. 

Results: Results of the theory testing are currently in progress and not available for submission in the December 2012 abstract. Results will provide analyses of the theory domains as described in the methodology. The primary domains of the theory include: Hospital Nurse, Nurse Force, Hospital Bio-political environment, and Patient Harm.

Conclusion: Tested theories are needed to develop and advance nursing science. This theory testing was used to clarify study concepts and domains and has helped determine further clinical investigation to test interventions to measure and prevent hospital nurse fatigue and patient harm.

Keywords:
Hospital Nurse; Theory testing; Clinical study
Repository Posting Date:
22-Oct-2013
Date of Publication:
22-Oct-2013
Conference Date:
2013
Conference Name:
24th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Prague, Czech Republic
Description:
24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.type.categoryAbstracten_GB
dc.typePresentationen_GB
dc.titleAnalysis Strategies of the Hospital Nurse Force and Fatigue Theoryen_GB
dc.contributor.authorDrake, Diane A.en_GB
dc.contributor.departmentGamma Tauen_GB
dc.author.detailsDiane A. Drake, PhD, RN, diane.drake@stjoe.orgen_GB
dc.identifier.urihttp://hdl.handle.net/10755/304452-
dc.description.abstract<p>Session presented on: Tuesday, July 23, 2013</p><b>Purpose: </b>The purpose of this presentation is to describe strategies used to test the Hospital Nurse Force and Fatigue Theory. The theory was designed to clarify the investigation of hospital nurse fatigue and patient harm. The theory was presented at the 2012 STTI research conference and has been published. <p><b>Methods: </b> There were two primary strategies used to guide theory testing: a mathematical formula using an equation derived from physics and a statistical confirmatory factor analysis methodology. The statistical confirmatory factor analyses are represented in three phases: preparation, model testing, and reporting the results. Model testing is divided into: specification, identification, estimation, evaluation and modification. Analyses are reported with standardized regression coefficient of the items related to the latent variables and squared multiple correlations related to error terms and the model’s goodness of fit indexes. The mathematical formula used to test Hospital Nurse Force is Force = Mass x Acceleration where Nurse Force = The Essential work of Hospital Nurses, Mass = Nurse (Wellness + Professionalism + Education) and Acceleration = Hospital Bio-Political Environment.  <p><b>Results: </b> Results of the theory testing are currently in progress and not available for submission in the December 2012 abstract. Results will provide analyses of the theory domains as described in the methodology. The primary domains of the theory include: Hospital Nurse, Nurse Force, Hospital Bio-political environment, and Patient Harm. <p><b>Conclusion: </b> Tested theories are needed to develop and advance nursing science. This theory testing was used to clarify study concepts and domains and has helped determine further clinical investigation to test interventions to measure and prevent hospital nurse fatigue and patient harm.en_GB
dc.subjectHospital Nurseen_GB
dc.subjectTheory testingen_GB
dc.subjectClinical studyen_GB
dc.date.available2013-10-22T20:36:10Z-
dc.date.issued2013-10-22-
dc.date.accessioned2013-10-22T20:36:10Z-
dc.conference.date2013en_GB
dc.conference.name24th International Nursing Research Congressen_GB
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen_GB
dc.conference.locationPrague, Czech Republicen_GB
dc.description24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.en_GB
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission.en_GB
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