Literature DB >> 34618365

Latent profile analysis on Korean nurses: Emotional labour strategies and well-being.

Chong-Chol Park1, Hunggu Cho1, Dong-Gwi Lee1, Hyeonhui Jeon2.   

Abstract

AIMS: To identify the unique profiles of emotional labour management strategies among Korean nurses in regards to the preferences of surface acting (affecting emotions required at the workplace) and deep acting (trying to genuinely experience emotions required at the workplace), a latent profile analysis (LPA) was conducted. In addition, differences in psychological and occupational well-being between the discovered profiles are examined.
DESIGN: An exploratory, cross-sectional LPA design was employed.
METHODS: Nurses (N = 204) working in university hospitals in South Korea responded to the survey during November 2019. Participants completed the Emotional Labour Questionnaire, a portion of the Maslach Burnout Inventory, the Minnesota Satisfaction Questionnaire short form and the Turnover Intentions Scale.
RESULTS: As a result of LPA on nurses' surface acting and deep acting, five profiles were discovered: non-actors, surface actors, moderators, regulators and high regulators. In addition, differences in emotional exhaustion, job satisfaction and turnover intentions between profiles were examined. Profiles that used high levels of surface acting had high levels of emotional exhaustion and turnover intentions.
CONCLUSION: Nurses with characteristics of surface actors, high regulators profiles in emotional labour context are more prone to emotional exhaustion and turnover possibilities, compared with other profiles (non-actors, moderators and regulators). IMPACT: Insights from the current study are beneficial to hospitals in preventing potential emotional exhaustion and nurse turnover by responding to high-risk profiles and customizing emotional labour management policies with regards to the different profiles of nurses' emotional labour.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  emotional exhaustion; emotional labour; job satisfaction; latent profile analysis; nurses; turnover intentions

Mesh:

Year:  2021        PMID: 34618365     DOI: 10.1111/jan.15062

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  2 in total

1.  Targeting COVID-19 vaccine hesitancy among nurses in Shanghai: A latent profile analysis.

Authors:  Enming Zhang; Zhengyue Dai; Caifeng Wang; Jiale Hu; Suxing Wang; Lin Zhang; Qiong Fang
Journal:  Front Public Health       Date:  2022-09-14

2.  Effect of Public Empathy with Infection-Control Guidelines on Infection-Prevention Attitudes and Behaviors: Based on the Case of COVID-19.

Authors:  Eugene Song; Jae-Eun Lee; Seola Kwon
Journal:  Int J Environ Res Public Health       Date:  2021-12-20       Impact factor: 3.390

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.