JOURNAL ARTICLE

The experiences, needs and expectations of patients regarding participation at home: an explorative study in Belgium.

  • Published In: British Journal of Community Nursing, 2023, v. 28, n. 11. P. 561 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Scheepmans, Kristien; Anthierens, Sibyl; De Coster, Uschi; Willaert, Benjamin; Paquay, Louis; De Vliegher, Kristel; Van Hecke, Ann; Verhaeghe, Sofie 3 of 3

Abstract

Background: Patients have an important role in the improvement of their health. Patient participation is a key component to achieving this. Some form of patient participation is already present in home care, but this needs to be optimised. Aim: Gaining insight into the expectations, experiences and needs of patients regarding patient participation in home care. Design: A qualitative design was used. Setting: The study was conducted in the Flemish part of Belgium, in a purposeful sample of patients who have already received nursing care at home for at least 6 weeks. Methods: Semi-structured face-to-face in-depth interviews were conducted and analysed using the Qualitative Analyse Guide of Leuven. Results: Patient participation in home care is a dynamic process. A total of six components, which interact with each other, were identified that explain this process. Conclusion: Patient participation in home care is the interaction of different components of a whole mechanism. Within this mechanism, home nurses play a key role to facilitate participation for patients. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Community Nursing. 2023/11, Vol. 28, Issue 11, p561
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:1462-4753
  • DOI:10.12968/bjcn.2023.28.11.561
  • Accession Number:173451665
  • 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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