JOURNAL ARTICLE

Effectiveness of home-based end-of-life care.

  • Published In: British Journal of Community Nursing, 2023, v. 28, n. 5. P. 254 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mansoor, Mohamed; Hebatalla, Abdelaal; Hill, James 3 of 3

Abstract

Commentary on: Shepperd S, Gonçalves-Bradley DC, Straus SE, Wee B. Hospital at home: home-based end-of-life care. Cochrane Database of Systematic Reviews. 2021;Issue 3. 10.1002/14651858.CD009231.pub3 When a person has been diagnosed with a terminal illness and has less than 6 months to live, and curative treatments are no longer effective, end-of-life care or hospice care may be initiated. Studies suggest that approximately 7 million people a year are given this type of care, which strives to reduce distress and improve quality of life for patients and their families by providing comprehensive physical, psychosocial, and spiritual support. Surveys show that most individuals would prefer to receive this care at home when given the option. However, there are still some uncertainties regarding the effects of end-of-life care at home on a range of important patient outcomes. As a result, a Cochrane review was conducted/updated to study the effects of receiving end-of-life care at home, looking at these outcomes. The aim of this commentary is to critically appraise this Cochrane review and expand upon the findings of the review in context to practice. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Community Nursing. 2023/05, Vol. 28, Issue 5, p254
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:1462-4753
  • DOI:10.12968/bjcn.2023.28.5.254
  • Accession Number:163451452
  • Copyright Statement:Copyright of British Journal of Community Nursing is the property of Mark Allen Holdings Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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