IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i23p12703-d693361.html
   My bibliography  Save this article

Predictors of At-Home Death for Cancer Patients in Rural Clinics in Japan

Author

Listed:
  • Jun Watanabe

    (Division of Community and Family Medicine, Jichi Medical University, Shimotsuke 329-0498, Japan
    J.W. and H.T. equally contributed to this study.)

  • Hiroyuki Teraura

    (Division of Community and Family Medicine, Jichi Medical University, Shimotsuke 329-0498, Japan
    J.W. and H.T. equally contributed to this study.)

  • Kenichi Komatsu

    (Division of Community and Family Medicine, Jichi Medical University, Shimotsuke 329-0498, Japan)

  • Hironori Yamaguchi

    (Department of Clinical Oncology, Jichi Medical University, Shimotsuke 329-0498, Japan)

  • Kazuhiko Kotani

    (Division of Community and Family Medicine, Jichi Medical University, Shimotsuke 329-0498, Japan)

Abstract

Background: The prediction of at-home deaths has become an important topic in rural areas of Japan with an advanced aging society. However, there are no well-established predictors to explain how these factors influence intention. This study aims to investigate the possible predictors of at-home death for cancer patients in rural clinics in Japan. Methods: This is a nationwide cross-sectional survey. A self-administered questionnaire was sent to 493 rural clinics in Japan. The main outcome was the realization of at-home deaths for cancer patients. Results: Among the 264 clinics (54%) that responded to the survey, there were 194 clinics with the realization of at-home death. The use of a clinical pathway (adjusted odds ratio 4.19; 95% confidence interval 1.57–11.19) and the provision of organized palliative care (adjusted odds ratio 19.16; 95% confidence interval 7.56–48.52) were associated with the prediction of at-home death, irrespective of island geography or the number of doctors and nurses. Conclusions: Having a clinical pathway and systematizing palliative care could be important to determine the possibility of at-home deaths for cancer patients in rural clinics in Japan.

Suggested Citation

  • Jun Watanabe & Hiroyuki Teraura & Kenichi Komatsu & Hironori Yamaguchi & Kazuhiko Kotani, 2021. "Predictors of At-Home Death for Cancer Patients in Rural Clinics in Japan," IJERPH, MDPI, vol. 18(23), pages 1-5, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12703-:d:693361
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/23/12703/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/23/12703/
    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:jijerp:v:18:y:2021:i:23:p:12703-:d:693361. 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.