IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i12p2164-d241039.html
   My bibliography  Save this article

The Quality of Caregivers for the Elderly in Long-Term Care Institutions in Zhejiang Province, China

Author

Listed:
  • Yuhang Zeng

    (Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou 310058, China
    These authors contributed equally to this work and should be regarded as co-first authors.)

  • Xiaoqian Hu

    (Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou 310058, China
    These authors contributed equally to this work and should be regarded as co-first authors.)

  • Yuanyuan Li

    (Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou 310058, China)

  • Xuemei Zhen

    (Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou 310058, China)

  • Yuxuan Gu

    (Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou 310058, China)

  • Xueshan Sun

    (Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou 310058, China)

  • Hengjin Dong

    (Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou 310058, China)

Abstract

China is facing challenges in caring for older adults. This paper aimed to understand knowledge, attitude, and practice (KAP) regarding the quality of caregivers for the elderly in long-term care institutions in Zhejiang Province, and also to find related factors to improve the quality of caregivers. A cross-sectional survey was conducted from April to June 2016 in Zhejiang Province. In total, 84 caregivers were interviewed face-to-face with questionnaires on KAP towards elderly care. Multiple linear regression was used to find the related factors to KAP. A conceptual model was made to process path analysis among KAP and influencing factors using structural equation modeling. The study found that most caregivers in Zhejiang Province were middle-aged, female, and with a diploma below middle school. Many caregivers had not received any pre-employment training. Their salary was low although they undertook high-intensity work. Education and working years had a positive effect on knowledge and practice scores, and pre-employment training had a positive effect on knowledge and attitude scores. Knowledge and attitude regarding elderly care could positively affect elderly care practices. The quality of caregivers in Zhejiang Province was at a low level compared to developed countries. Continuous and regular elderly care training should be provided for caregivers to improve their elderly care knowledge and hence the quality of elderly care.

Suggested Citation

  • Yuhang Zeng & Xiaoqian Hu & Yuanyuan Li & Xuemei Zhen & Yuxuan Gu & Xueshan Sun & Hengjin Dong, 2019. "The Quality of Caregivers for the Elderly in Long-Term Care Institutions in Zhejiang Province, China," IJERPH, MDPI, vol. 16(12), pages 1-12, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:12:p:2164-:d:241039
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/12/2164/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/12/2164/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Linna Luo & Bowen Pang & Jian Chen & Yan Li & Xiaolei Xie, 2019. "Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach," IJERPH, MDPI, vol. 16(10), pages 1-12, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiao Rong & Zhipeng Zhou & Yihui Su, 2022. "Factors Affecting the Job Satisfaction of Caregivers in a Home-Based Elderly Care Program," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    2. Laura Parra-Anguita & Francisco P. García-Fernández & Rafael del-Pino-Casado & Pedro L. Pancorbo-Hidalgo, 2019. "Knowledge about the Care of People with Alzheimer’s Disease of the Nursing Staff of Nursing Homes in Spain," IJERPH, MDPI, vol. 16(24), pages 1-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:jijerp:v:16:y:2019:i:12:p:2164-:d:241039. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.