title: Emotional rescue: the role of emotional intelligence and emotional labour on well-being and job-stress among community nurses.
abstract: OBJECTIVE
  To investigate the extent to which emotional labour and emotional intelligence are associated with well-being and job-stress among a group of Australian community nurses. The moderating role of emotional intelligence was evaluated as a key factor in the rescue of healthcare workers from job-stress, thus increasing job retention.
  
  
  BACKGROUND
  Although emotional labour has been broadly investigated in the literature, the contribution of emotional labour and emotional intelligence to the well-being and experience of job-stress in a community nursing setting requires further exploration.
  
  
  METHODS
  This study used a cross-sectional quantitative research design with data collected from Australian community nurses.
  
  
  METHODS
  Australian community nurses (n = 312) reported on their perceived emotional labour, emotional intelligence and their levels of well-being and job-stress using a paper and pencil survey in 2010.
  
  
  RESULTS
  Results from structural equation modelling support the hypothesis that both emotional labour and emotional intelligence have significant effects on nurses' well-being and perceived job-stress. Emotional intelligence plays a moderating role in the experience of job-stress.
  
  
  CONCLUSIONS
  These findings provide additional evidence for the important effects that emotional labour and emotional intelligence can have on well-being and job-stress among community nurses. The potential benefits of emotional intelligence in the nurses' emotional work have been explored.
authors.affiliation: Health Services Management, School of Public Health and Human Biosciences, La Trobe University, Melbourne, Victoria, Australia.
authors.forename: Leila
authors.initials: L
authors.lastname: Karimi
authors.affiliation: School of Public Health and Human Biosciences, La Trobe University, Bundoora, Victoria, Australia.
authors.forename: Sandra G
authors.initials: SG
authors.lastname: Leggat
authors.affiliation: School of Nursing and Midwifery, Monash University, Melbourne, Victoria, Australia.
authors.forename: Lisa
authors.initials: L
authors.lastname: Donohue
authors.affiliation: School of Nursing and Midwifery, La Trobe University, Bundoora, Victoria, Australia.
authors.forename: Gerald
authors.initials: G
authors.lastname: Farrell
authors.affiliation: School of Psychology, Northcentral University, USA.|Department of Biobehavioral Sciences, University of California (UCLA), California, USA.
authors.forename: Greta E
authors.initials: GE
authors.lastname: Couper
mesh_terms: D002983:Clinical Competence / Q000706:statistics & numerical data; D003152:Community Health Nursing; D003430:Cross-Sectional Studies; D056348:Emotional Intelligence; D004644:Emotions; D005260:Female; D006304:Health Status; D006801:Humans; D007588:Job Satisfaction; D008297:Male; D008875:Middle Aged; D009726:Nurses / Q000523:psychology*; D009784:Occupational Diseases / Q000523:psychology*; D013315:Stress, Psychological / Q000523:psychology*; D014739:Victoria
keywords: community nursing; emotional dissonance; emotional intelligence; emotional labour; job-stress; nurses/midwives/nursing; structural equation modelling; well-being