Back

Frontstage nursing and backstage growth: The emotional labour of student nurses in Dutch nursing homes.

  • Published In: Nursing Inquiry, 2023, v. 30, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Slootman, Marieke; Mudde, Anne L.; The, Anne‐Mei 3 of 3

Abstract

The complex emotional work of nurses calls for more recognition of emotional labour and the incorporation of emotional labour in nursing education. Based on participant observation and semistructured interviews, we describe the experiences of student nurses in two nursing homes for elderly people with dementia in the Netherlands. We analyse their interactions using Goffman's dramaturgical view on the front and backstage behaviour and the distinction between surface acting and deep acting. The study reveals the complexity of emotional labour, as nurses swiftly adapt their communication styles and behavioural strategies between settings, patients, and even between moments within one interaction sequence, which shows that the theoretical binaries fail to fully capture their skills. Although student nurses take pride in their emotionally taxing work, the societal undervaluation of the nursing profession negatively impacts their self‐image and ambitions. More explicit recognition of these complexities would enhance their self‐appreciation. This calls for a professional 'backstage area' that allows nurses to articulate and strengthen their emotional labour skills. Educational institutions should provide this backstage for nurses‐in‐training to strengthen these skills as part of the professional skill set. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nursing Inquiry. 2023/10, Vol. 30, Issue 4, p1
  • Document Type:Article
  • Subject Area:Drama and Theater Arts
  • Publication Date:2023
  • ISSN:1320-7881
  • DOI:10.1111/nin.12570
  • Accession Number:173115549
  • Copyright Statement:Copyright of Nursing Inquiry 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.