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A Concept Analysis of Pressure Ulcer Care Integrating Theory of Human Caring.

  • Published In: Scandinavian Journal of Caring Sciences, 2025, v. 39, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Adi, Sumarno 3 of 3

Abstract

Background: The theory of human caring is essential as a guiding framework in nursing practice. The theory prioritises the humanistic aspects of healing and well‐being. However, none of the studies have applied this theory to developing concepts for pressure ulcer (PU) care. Aim: This study aimed to develop a concept of PU care based on the theory of human caring. Method: This study utilised Walker and Avant's approach along with Watson's theory of human caring. A review of English‐language publications from 2000 to 2024 was conducted across multiple databases, including Scopus, PubMed, ProQuest, CINAHL, SAGE Journals, SpringerLink and Google Scholar. Results: The study proposed an operational definition of PU care based on Watson's theory of human caring. The theory's carative factors were integrated to enhance wound healing. This model provides a meaningful philosophical foundation and emphasises the holistic unity of mind, body and spirit in relation to the PU care. Conclusion: The model encourages nurses to move beyond technical proficiency and integrate the art of caring into their practice. Additionally, close collaboration among healthcare professionals, families and patients is essential for delivering efficient and effective care. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Scandinavian Journal of Caring Sciences. 2025/03, Vol. 39, Issue 1, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0283-9318
  • DOI:10.1111/scs.70021
  • Accession Number:184019160
  • Copyright Statement:Copyright of Scandinavian Journal of Caring Sciences is the property of Wiley-Blackwell 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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