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Strengthening International Research in Long-Term Care: Recommended Common Data Elements to Support Clinical Staff Training
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4618043
Author(s) Chu, Charlene H.; McGilton, Katherine S.; Spilsbury, Karen; Le, Kim N.; Boscart, Veronique; Backman, Annica; Fagertun, Anette; Devi, Reena; Zúñiga, Franziska
Author(s) at UniBasel Zúñiga, Franziska
Year 2021
Title Strengthening International Research in Long-Term Care: Recommended Common Data Elements to Support Clinical Staff Training
Journal Gerontology & geriatric medicine
Volume 7
Pages / Article-Number 2333721421999312
Keywords common data elements; long-term care; measurement; nursing home; training
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.
Publisher Sage
ISSN/ISBN 2333-7214
edoc-URL https://edoc.unibas.ch/82444/
Full Text on edoc Available
Digital Object Identifier DOI 10.1177/2333721421999312
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/33718524
Document type (ISI) Journal Article
 
   

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