798
Views
8
CrossRef citations to date
0
Altmetric
Scholarly: Research

Planning an Intergenerational Shared Site: Nursing-Home Staff Perspectives

, , , &
Pages 288-300 | Published online: 10 Nov 2016
 

ABSTRACT

Nursing-home staff perspectives on the development of intergenerational shared sites involving nursing homes and child-care centers is lacking. We use a strengths-based and community capacity framework to learn of the perceived benefits and burdens for nursing-home staff within a nursing home planning to implement a shared-site intergenerational program. Forty-two nursing-home staff completed a survey. Almost three-quarters of the participants either indicated strong positive support or saw more pros than cons in opening the child-care center. Over 25% of participants indicated that it was very possible they would use this service if it were available. Quantitative and qualitative results indicated existing strengths and areas to build capacity around four themes: nursing-home residents; nursing-home staff; children attending the child-care center; and the buildings and grounds. Our research emphasizes the importance of ensuring that other stakeholders, such as nursing-home staff, are also fully informed, consulted, and engaged in the process of developing a new colocated intergenerational program to contribute to the success of these programs.

Acknowledgments

We thank Sanja Jovanovic for her assistance in the preparation of this manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 157.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.