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Recommended Common Data Elements for International Research in Long-Term Care Homes: Exploring the Workforce and Staffing Concepts of Staff Retention and Turnover

Zuniga, Franziska and Chu, Charlene H. and Boscart, Veronique and Fagertun, Anette and Gea-Sanchez, Montserrat and Meyer, Julienne and Spilsbury, Karen and Devi, Reena and Haunch, Kirsty and Zheng, Nancy and McGilton, Katherine S.. (2019) Recommended Common Data Elements for International Research in Long-Term Care Homes: Exploring the Workforce and Staffing Concepts of Staff Retention and Turnover. Gerontology & geriatric medicine, 5. p. 2333721419844344.

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Official URL: https://edoc.unibas.ch/71345/

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Abstract

The aim of this review is to develop a common data element for the concept of staff retention and turnover within the domain of workforce and staffing. This domain is one of four core domains identified by the WE-THRIVE (Worldwide Elements to Harmonize Research in Long-Term Care Living Environments) group in an effort to establish an international, person-centered long-term care research infrastructure. A rapid review identified different measurement methods to assess either turnover or retention at facility level or intention to leave or stay at the individual staff level. The selection of a recommended measurement 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. We therefore recommend to measure staff's intention to stay with a single item, at the individual staff level. This element, we argue, is an indicator of staff stability, which is important for reduced organizational cost and improved productivity, positive work environment, and better resident-staff relationships and quality of care.
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
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Last Modified:07 Jul 2020 14:33
Deposited On:07 Jul 2020 14:33

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