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Strengthening International Research in Long-Term Care: Recommended Common Data Elements to Support Clinical Staff Training

Chu, Charlene H. and McGilton, Katherine S. and Spilsbury, Karen and Le, Kim N. and Boscart, Veronique and Backman, Annica and Fagertun, Anette and Devi, Reena and Zúñiga, Franziska. (2021) Strengthening International Research in Long-Term Care: Recommended Common Data Elements to Support Clinical Staff Training. Gerontology & geriatric medicine, 7. p. 2333721421999312.

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Abstract

The purpose of this study is to develop candidate common data element (CDE) items related to clinical staff training in long-term care (LTC) homes that can be used to enable international comparative research. This paper is part of the WE-THRIVE (Worldwide Elements to Harmonize Research in Long-Term Care Living Environments) group's initiative which aims to improve international academic collaboration. We followed best practices to develop CDEs by conducting a literature review of clinical staff (i.e., Regulated Nurses, Health Care Aides) training measures, and convening a subgroup of WE-THRIVE experts to review the literature review results to develop suitable CDEs. The international expert panel discussed and critically reflected on the current knowledge gaps from the literature review results. The panel proposed three candidate CDEs which focused on the; presence of; and the; measurement of; training. These three proposed CDEs seek to facilitate international research as well as assist in policy and decision-making regarding LTC homes worldwide. This study is a critical first step to develop candidate CDE items to measure staff training internationally. Further work is required to get feedback from other researchers about the proposed CDEs, and assess the feasibility of these CDEs in high and low resourced settings.
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
Publisher:Sage
e-ISSN:2333-7214
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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edoc DOI:
Last Modified:26 Mar 2021 15:37
Deposited On:26 Mar 2021 15:37

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