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Exploring a Common Data Element for International Research in Long-Term Care Homes: A Measure for Evaluating Nursing Supervisor Effectiveness

McGilton, Katherine S. and Backman, Annica and Boscart, Veronqiue and Chu, Charlene and Gea Sánchez, Montserrat and Irwin, Constance and Meyer, Julienne and Spilsbury, Karen and Zheng, Nancy and Zúñiga, Franziska. (2020) Exploring a Common Data Element for International Research in Long-Term Care Homes: A Measure for Evaluating Nursing Supervisor Effectiveness. Gerontology and Geriatric Medicine, 6. p. 2333721420979812.

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Official URL: https://edoc.unibas.ch/82196/

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Abstract

The aim of this study is to recommend a common data element (CDE) to measure supervisory effectiveness of staff working in LTC homes that can be used in international research. Supervisory effectiveness can serve as a CDE in an effort to establish an international, person-centered LTC research infrastructure in accordance with the aims of the WE-THRIVE group (Worldwide Elements to Harmonize Research in Long Term Care Living Environments). A literature review was completed and then a panel of experts independently reviewed and prioritized appropriateness of the measures with mindfulness of their potential applications to international LTC settings. The selection of a recommended CDE measure was guided by the WE-THRIVE group's focus on capacity rather than deficits, the expected availability of internationally comparable data and the goal to provide a short, ecologically viable measurement, specifically for low- and middle-income countries. Two measures were considered as the CDE for supervisory effectiveness, Benjamin Rose Relationship Scale and the Supervisory Support Scale; however, given that the latter measure has been translated in Spanish and Chinese and has been tested with nursing assistants in both of these countries with good psychometric properties, our group recommends it as the CDE going forward.
Faculties and Departments:03 Faculty of Medicine > Departement Public Health > Institut für Pflegewissenschaft
UniBasel Contributors:Zuniga, Franziska
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:2333-7214
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:10 Mar 2021 09:58
Deposited On:10 Mar 2021 09:58

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