JOURNAL ARTICLE

Environmental diseases, recognition for care: A qualitative study of nurses' perceptions.

  • Published In: Public Health Nursing, 2024, v. 41, n. 4. P. 684 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bolgeo, Tatiana; Di Matteo, Roberta; Gardalini, Menada; Ruta, Federico; Iacorossi, Laura; Gambalunga, Francesca; Maconi, Antonio 3 of 3

Abstract

Objectives: This study aims to investigate hospital nurses' perceptions of illness due to environmental exposures. Design: A qualitative exploratory study, designed in accordance with the specified reporting guidelines for qualitative research. Sample: Nurses working in Italian hospitals. Methods: Semi‐structured interviews were used to collect data, then evaluated using the framework analysis methodology. Data collection was from January to June 2022 and analysed from July to September 2022. Results: Forty‐two nurses were interviewed. Data analysis revealed three themes: 1) the concept of disease in relation to environmental exposure; 2) the dangers of chemical and physical substances; 3) environmental changes cause concern and a sense of helplessness for the future. Conclusions: The results suggest the need for specific training on topics related to environmental disease types, environmental exposure, preventive measures, health promotion, and environmental impact to support professional development and support nurses in the management of this important aspect of health care. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Public Health Nursing. 2024/07, Vol. 41, Issue 4, p684
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2024
  • ISSN:0737-1209
  • DOI:10.1111/phn.13332
  • Accession Number:178333460
  • Copyright Statement:Copyright of Public Health Nursing 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.