Developing, Exploring and Refining a Modified Whole Systems Based Model of Evidence-Informed Nursing

12.00
Hdl Handle:
http://hdl.handle.net/10755/152133
Type:
Presentation
Title:
Developing, Exploring and Refining a Modified Whole Systems Based Model of Evidence-Informed Nursing
Abstract:
Developing, Exploring and Refining a Modified Whole Systems Based Model of Evidence-Informed Nursing
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:McSherry, Robert, RGN, Dip, N, (Lon), BSc, (Hon's), MSc, PGCE, RT
P.I. Institution Name:University of Teesside
Title:Principal Lecturer Practice Development
[Research Presentation] In spite of a plethora of evidence-based nursing literature and numbers of models /frameworks designed to facilitate its cause registered nurses continue to struggle to use evidence to support their practice. Aim: The research aimed to develop a new and alternative Evidence-Informed Nursing (EIN) model designed to facilitate evidence into practice. Design A Modified Whole Systems Theory (MWST) design using Soft System Methodology (SSM) combining quantitative and qualitative methods was the framework of choice for this research study. Population, Sample A probability sampling technique was used for the qualitative aspect of the study where all 239 registered nurses had an equal chance of participation by completing and returned the Research Awareness Questionnaire (RAQ) n = 149 (62%). A purposive sample of n=31 (30%) of all grades of nursing staff participated in the six qualitative Focus Group Interviews (FGI).á Methods Date from the RAQ was entered into a Statistical Package for Social Science (SPSS) database where both descriptive and inferential statistics were used for data analysis.á A thematic analysis was undertaken of the FGI transcripts. Ethical approval was granted to undertake the study. Findings The re-presented EIN model unlike the original theoretical EIN model clarified that evidence-based nursing is undoubtedly a complex system comprising of several important attributes contained within six elements. These are: professional accountability, informed decision-making, research awareness, application of knowledge, evaluation and conditions affecting research utilisation. The results confirmed that the EIN model is systems based by possessing a clearly defined input; to encourage nurses to use evidence in practice, throughput; facilitation about the processes associated with the six elements and an output; improved standards of professional practice. Conclusions The EIN model offers a new and alternative framework for nursing colleagues to use and apply when faced with a real problem of getting evidence into practice.
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.titleDeveloping, Exploring and Refining a Modified Whole Systems Based Model of Evidence-Informed Nursingen_GB
dc.identifier.urihttp://hdl.handle.net/10755/152133-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Developing, Exploring and Refining a Modified Whole Systems Based Model of Evidence-Informed Nursing</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">McSherry, Robert, RGN, Dip, N, (Lon), BSc, (Hon's), MSc, PGCE, RT</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Teesside</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Principal Lecturer Practice Development</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">Robert.McSherry@tees.ac.uk</td></tr><tr><td colspan="2" class="item-abstract">[Research Presentation] In spite of a plethora of evidence-based nursing literature and numbers of models /frameworks designed to facilitate its cause registered nurses continue to struggle to use evidence to support their practice. Aim: The research aimed to develop a new and alternative Evidence-Informed Nursing (EIN) model designed to facilitate evidence into practice. Design A Modified Whole Systems Theory (MWST) design using Soft System Methodology (SSM) combining quantitative and qualitative methods was the framework of choice for this research study. Population, Sample A probability sampling technique was used for the qualitative aspect of the study where all 239 registered nurses had an equal chance of participation by completing and returned the Research Awareness Questionnaire (RAQ) n = 149 (62%). A purposive sample of n=31 (30%) of all grades of nursing staff participated in the six qualitative Focus Group Interviews (FGI).&aacute; Methods Date from the RAQ was entered into a Statistical Package for Social Science (SPSS) database where both descriptive and inferential statistics were used for data analysis.&aacute; A thematic analysis was undertaken of the FGI transcripts. Ethical approval was granted to undertake the study. Findings The re-presented EIN model unlike the original theoretical EIN model clarified that evidence-based nursing is undoubtedly a complex system comprising of several important attributes contained within six elements. These are: professional accountability, informed decision-making, research awareness, application of knowledge, evaluation and conditions affecting research utilisation. The results confirmed that the EIN model is systems based by possessing a clearly defined input; to encourage nurses to use evidence in practice, throughput; facilitation about the processes associated with the six elements and an output; improved standards of professional practice. Conclusions The EIN model offers a new and alternative framework for nursing colleagues to use and apply when faced with a real problem of getting evidence into practice.</td></tr></table>en_GB
dc.date.available2011-10-26T11:25:13Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T11:25:13Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.