Academic burnout in nursing students: An explanatory sequential design. Issue 2 (18th August 2022)

• Record Type: Journal Article
• Authors: Ghods, Ali Asghar; Ebadi, Abbas; Sharif Nia, Hamid; Allen, Kelly‐Ann; Ali‐Abadi, Tayyebeh
• Is Part Of: Nursing open. Volume 10:Issue 2(2023)
• Page Start: 535
• Page End: 543
• Publication Date: 2022-08-18
• Subjects: burnout -- nursing -- student; 610.73
• DOI: 10.1002/nop2.1319
• Languages: English
• ISSNs: 2054-1058

Abstract

Abstract: Aim: Despite the harmful effects of burnout among many nursing students, academic burnout is poorly understood. This study was conducted to better explain the concept of burnout in nursing students. Design: An explanatory sequential mixed‐method design was used. Methods: In the quantitative phase, the Maslach Burnout Inventory‐Student Survey was completed by 91 nursing students in eastern Iran. In the qualitative phase, individual interviews were conducted with 13 undergraduate nursing students, one nurse and one instructor. Data were analysed using the directed content analysis method. Results: Results from an ANOVA test showed differences in burnout scores in different semesters ( p = .02) that were confirmed by the qualitative data. In addition to the three dimensions of the Maslach burnout model (exhaustion, cynicism and inadequacy feeling), qualitative data from the present study indicated the presence of a fourth dimension (incompatible learning style).