IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v11y2022i12p557-d987652.html
   My bibliography  Save this article

Development and Implementation of an Intergenerational Bonding Program in a Co-Located Model: A Case Study in Singapore

Author

Listed:
  • I-Ling Yeh

    (Health and Social Sciences, Singapore Institute of Technology, Singapore 138683, Singapore)

  • Sebastian Ye Xun Wong

    (Health and Social Sciences, Singapore Institute of Technology, Singapore 138683, Singapore)

  • Lydia Safrina Binte Safaruan

    (Health and Social Sciences, Singapore Institute of Technology, Singapore 138683, Singapore
    AWWA Ltd., Singapore 547531, Singapore)

  • Yuan Qi Kang

    (Health and Social Sciences, Singapore Institute of Technology, Singapore 138683, Singapore
    Ng Teng Fong General Hospital, Singapore 609606, Singapore)

  • May S. T. Wong

    (St. Joseph’s Home, Singapore 648141, Singapore)

  • Ingrid M. Wilson

    (Health and Social Sciences, Singapore Institute of Technology, Singapore 138683, Singapore
    Judith Lumley Centre, La Trobe University, Melbourne 3086, Australia)

Abstract

There is a well-established body of evidence that intergenerational bonding programs (IGPs) can improve the overall well-being of older adults and strengthen relationships and understanding between generations. There is limited literature on the experience of IGPs in an Asian context, despite many of these countries facing faster rates of population ageing than other Western countries. In Singapore, intergenerational bonding is a priority in national efforts to encourage successful ageing. This paper presents a case study of the development and implementation of a co-located (shared site) model IGP in Singapore. Drawing on interviews with key stakeholders, the aim of this case study is to present the realities of the evolution of an IGP from conceptualisation through to implementation, and used the nursing home’s COVID-19 experience to illustrate issues of sustainability affecting IGPs with vulnerable populations. The findings will inform the development and implementation of similar future programs.

Suggested Citation

  • I-Ling Yeh & Sebastian Ye Xun Wong & Lydia Safrina Binte Safaruan & Yuan Qi Kang & May S. T. Wong & Ingrid M. Wilson, 2022. "Development and Implementation of an Intergenerational Bonding Program in a Co-Located Model: A Case Study in Singapore," Social Sciences, MDPI, vol. 11(12), pages 1-18, November.
  • Handle: RePEc:gam:jscscx:v:11:y:2022:i:12:p:557-:d:987652
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/11/12/557/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-0760/11/12/557/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jscscx:v:11:y:2022:i:12:p:557-:d:987652. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.