Attractiveness of Nursing Homes for Nurses in Relation to Work Environment and Health and Attitudinal Outcomes: Results from the German 3Q-Study

2.50
Hdl Handle:
http://hdl.handle.net/10755/155871
Type:
Presentation
Title:
Attractiveness of Nursing Homes for Nurses in Relation to Work Environment and Health and Attitudinal Outcomes: Results from the German 3Q-Study
Abstract:
Attractiveness of Nursing Homes for Nurses in Relation to Work Environment and Health and Attitudinal Outcomes: Results from the German 3Q-Study
Conference Sponsor:Sigma Theta Tau International
Conference Year:2010
Author:Schmidt, Sascha G., MScN, RN
P.I. Institution Name:University of Wuppertal
Title:Assistant Research Scientist
Co-Authors:Rebecca Palm, RN; Martin Dichter, BScN, RN; Bernd H. Müller, Prof, Dr; Hans Martin Hasselhorn,
21st INRC [Research Presentation] Purpose: Worldwide, increasing need for long term care and nursing shortage constitute major challenges for nursing homes (NH). Consequently, it will be crucial for NH to present an attractive work environment for nurses. The objective of this study is to investigate work organizational core factors and their association with the attractiveness of NH for nurses in Germany. Methods: Cross-sectional data (n=738) from a self-report questionnaire for nurses and auxiliary staff in 42 NH from the German 3Q-study (www.3q.uni-wuppertal.de) was used. An Attractiveness Index (AI) was calculated by means of the COPSOQ "Job Satisfaction" scale and the nurses' own perception of "Satisfaction with Quality of Care in their NH" (own scale). A multivariate linear regression analysis and ANOVA with Bonferroni post hoc tests were performed for investigating AI in relation to aspects of work (content and organization) and to outcomes such as health, work-ability, burnout and "intent to leave the institution." Results: Analyses revealed large differences in the attractiveness of a NH. Main factors in the multivariate model were "quantitative demands" (beta=-.236, p<.001) and "time for conversation with resident" (beta=-213, p<.001) (multivariate model R²=.64). No association was found for "emotional demands" or "lifting/bending." Nurses from NH with a good overall AI reported less burnout, better health and less intent to leave the institution. Conclusion: The association of AI with work factors and health and attitudinal factors was expected. The strength of it, however, indicates the high relevance AI has for NH staffing. The results imply that some work factors strongly influence NH attractiveness for nurses and that attractiveness may have consequences on the psychological health and the staff turnover. Here, intervention seems possible and further research is needed.
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.titleAttractiveness of Nursing Homes for Nurses in Relation to Work Environment and Health and Attitudinal Outcomes: Results from the German 3Q-Studyen_GB
dc.identifier.urihttp://hdl.handle.net/10755/155871-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Attractiveness of Nursing Homes for Nurses in Relation to Work Environment and Health and Attitudinal Outcomes: Results from the German 3Q-Study</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">2010</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Schmidt, Sascha G., MScN, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Wuppertal</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant Research Scientist</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">saschmi@uni-wuppertal.de</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Rebecca Palm, RN; Martin Dichter, BScN, RN; Bernd H. M&uuml;ller, Prof, Dr; Hans Martin Hasselhorn,</td></tr><tr><td colspan="2" class="item-abstract">21st INRC [Research Presentation] Purpose: Worldwide, increasing need for long term care and nursing shortage constitute major challenges for nursing homes (NH). Consequently, it will be crucial for NH to present an attractive work environment for nurses. The objective of this study is to investigate work organizational core factors and their association with the attractiveness of NH for nurses in Germany. Methods: Cross-sectional data (n=738) from a self-report questionnaire for nurses and auxiliary staff in 42 NH from the German 3Q-study (www.3q.uni-wuppertal.de) was used. An Attractiveness Index (AI) was calculated by means of the COPSOQ &quot;Job Satisfaction&quot; scale and the nurses' own perception of &quot;Satisfaction with Quality of Care in their NH&quot; (own scale). A multivariate linear regression analysis and ANOVA with Bonferroni post hoc tests were performed for investigating AI in relation to aspects of work (content and organization) and to outcomes such as health, work-ability, burnout and &quot;intent to leave the institution.&quot; Results: Analyses revealed large differences in the attractiveness of a NH. Main factors in the multivariate model were &quot;quantitative demands&quot; (beta=-.236, p&lt;.001) and &quot;time for conversation with resident&quot; (beta=-213, p&lt;.001) (multivariate model R&sup2;=.64). No association was found for &quot;emotional demands&quot; or &quot;lifting/bending.&quot; Nurses from NH with a good overall AI reported less burnout, better health and less intent to leave the institution. Conclusion: The association of AI with work factors and health and attitudinal factors was expected. The strength of it, however, indicates the high relevance AI has for NH staffing. The results imply that some work factors strongly influence NH attractiveness for nurses and that attractiveness may have consequences on the psychological health and the staff turnover. Here, intervention seems possible and further research is needed.</td></tr></table>en_GB
dc.date.available2011-10-26T14:14:07Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T14:14:07Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.