Understanding Complexity in Nursing Representations: A Comparison of ADN and BSN Textual Responses to General and Nursing Image Sets.

2.50
Hdl Handle:
http://hdl.handle.net/10755/159747
Type:
Presentation
Title:
Understanding Complexity in Nursing Representations: A Comparison of ADN and BSN Textual Responses to General and Nursing Image Sets.
Abstract:
Understanding Complexity in Nursing Representations: A Comparison of ADN and BSN Textual Responses to General and Nursing Image Sets.
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2009
Author:Falan, Sharie, Nursing
P.I. Institution Name:Western Michigan University
Title:Bronson School of Nursing
Contact Address:College of Health and Human Services, 1903 W. Michigan Avenue, Kalamazoo, MI, 49008, USA
Contact Telephone:269 387 8166
Co-Authors:S.L. Falan, Bronson School of Nursing, Western Michigan University, Kalamazoo, MI;
The ability to demonstrate complex thinking in clinical practice is critical for nurses who develop, implement, and evaluate patient care. It is assumed that knowledge and experience affect this ability. This study tested the hypotheses that unique patterns of complexity, which are the combination of textual responses categorized by similarity level, would occur between general and nursing images and that differences would emerge between subjects with an Associate Degree in Nursing (ADN) and Baccalaureate Degree in Nursing (BSN). Additionally, it was hypothesized that years of medical-surgical experience (MSE) would produce different levels of complexity. The study used a comparative descriptive design. Complexity was measured through the assignment of narrative descriptions to four levels of similarity (analogy, thematic, literal, and surface) when subjects compared two general and two nursing knowledge images. Complexity was measured as the quantity and quality of narrative responses categorized to three levels of complexity (low, medium, and high). A convenience sample of eighty nurses was recruited from four hospitals. Fifty-nine percent had an ADN. Of the entire sample, 65% had less than ten years experience. All levels of complexity emerged, yet Mann Whitney U tests revealed few differences across groups (ADN to BSN). However, when comparing the MSE groups, there was an approaching significant difference (z = -1.680, p = .083) in the percentage of low complexity scores between MSE groups for general image responses. Wilcoxon Sign tests revealed significant and approaching significant within group differences for all groups (see Table 1) between general and nursing image set responses. Findings revealed unexpected differences among subject groups in the ability to express similarities. This study informs our knowledge base regarding how nurses think about what they observe. Further, it is important to nursing because it adds to our understanding of how differences in patient care might occur.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleUnderstanding Complexity in Nursing Representations: A Comparison of ADN and BSN Textual Responses to General and Nursing Image Sets.en_GB
dc.identifier.urihttp://hdl.handle.net/10755/159747-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Understanding Complexity in Nursing Representations: A Comparison of ADN and BSN Textual Responses to General and Nursing Image Sets.</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2009</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Falan, Sharie, Nursing</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Western Michigan University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Bronson School of Nursing</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">College of Health and Human Services, 1903 W. Michigan Avenue, Kalamazoo, MI, 49008, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">269 387 8166</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">sharie.falan@wmich.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">S.L. Falan, Bronson School of Nursing, Western Michigan University, Kalamazoo, MI;</td></tr><tr><td colspan="2" class="item-abstract">The ability to demonstrate complex thinking in clinical practice is critical for nurses who develop, implement, and evaluate patient care. It is assumed that knowledge and experience affect this ability. This study tested the hypotheses that unique patterns of complexity, which are the combination of textual responses categorized by similarity level, would occur between general and nursing images and that differences would emerge between subjects with an Associate Degree in Nursing (ADN) and Baccalaureate Degree in Nursing (BSN). Additionally, it was hypothesized that years of medical-surgical experience (MSE) would produce different levels of complexity. The study used a comparative descriptive design. Complexity was measured through the assignment of narrative descriptions to four levels of similarity (analogy, thematic, literal, and surface) when subjects compared two general and two nursing knowledge images. Complexity was measured as the quantity and quality of narrative responses categorized to three levels of complexity (low, medium, and high). A convenience sample of eighty nurses was recruited from four hospitals. Fifty-nine percent had an ADN. Of the entire sample, 65% had less than ten years experience. All levels of complexity emerged, yet Mann Whitney U tests revealed few differences across groups (ADN to BSN). However, when comparing the MSE groups, there was an approaching significant difference (z = -1.680, p = .083) in the percentage of low complexity scores between MSE groups for general image responses. Wilcoxon Sign tests revealed significant and approaching significant within group differences for all groups (see Table 1) between general and nursing image set responses. Findings revealed unexpected differences among subject groups in the ability to express similarities. This study informs our knowledge base regarding how nurses think about what they observe. Further, it is important to nursing because it adds to our understanding of how differences in patient care might occur.</td></tr></table>en_GB
dc.date.available2011-10-26T22:17:50Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T22:17:50Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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