JOURNAL ARTICLE

Ethical decision-making: exploring the four main principles in nursing.

  • Published In: Nursing Standard, 2024, v. 39, n. 8. P. 53 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Dunn, Hannah 3 of 3

Abstract

Why you should read this article: • To refresh your understanding of the four principles of biomedical ethics • To understand how these principles are linked to the standards in the Nursing and Midwifery Council Code • To enhance your knowledge of the use of ethics in decision-making in nursing. Nurses are regularly confronted with moral questions and ethical dilemmas in their practice, for example where a patient’s decisions about their treatment conflict with the nurse’s own views. While the standards contained in the Nursing and Midwifery Council The Code: Professional Standards of Practice and Behaviour for Nurses, Midwives and Nursing Associates provide nurses with an overarching framework to guide practice, it is important that nurses understand the four main principles that underpin ethical care – autonomy, beneficence, non-maleficence and justice. This article examines these four principles and how they relate to nurses’ ethical decision-making. The author also explores how nurses’ ethics were tested by the coronavirus disease 2019 (COVID-19) pandemic. Having an awareness of ethical decision-making can enhance nurses’ practice by providing them with a theoretical framework for treating patients with dignity and respect. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nursing Standard. 2024/08, Vol. 39, Issue 8, p53
  • Document Type:Article
  • Subject Area:Nursing and Allied Health
  • Publication Date:2024
  • ISSN:0029-6570
  • DOI:10.7748/ns.2024.e12346
  • Accession Number:178719287
  • Copyright Statement:Copyright of Nursing Standard is the property of Royal College of Nursing of the United Kingdom (The) 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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