The relationship between multidimensional leadership and burnout among nursing staff

J Nurs Manag. 2007 Oct;15(7):731-9. doi: 10.1111/j.1365-2934.2006.00741.x.

Abstract

Aim and background: The purpose was to explore the relationship between multidimensional leadership and burnout among nursing staff. There exists little research evidence of the relation between these phenomena.

Method: The study used a non-experimental survey design. The sample consisted of 601 nurses and nurse managers working in different health care organizations.

Results: Rewarding transformational leadership seems to protect particularly from depersonalization. Active management-by-exception protected from depersonalization and increased personal accomplishment. Passive laissez-faire leadership functioned as an exposing factor for emotional exhaustion as well as a decreasing factor for personal accomplishment. However, the employment status and the character of work tasks affected the connection between leadership and burnout.

Conclusions: The relation between leadership and burnout is complex, affected by situational factors of leadership and the ambiguous nature of burnout. Nurses of various ages, at different stages of career development and participating in different work tasks require different kinds of leadership.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Attitude of Health Personnel*
  • Burnout, Professional* / prevention & control
  • Burnout, Professional* / psychology
  • Employment / organization & administration
  • Employment / psychology
  • Female
  • Finland
  • Humans
  • Interprofessional Relations*
  • Job Satisfaction
  • Leadership*
  • Male
  • Mental Health
  • Middle Aged
  • Nurse Administrators / organization & administration
  • Nurse Administrators / psychology*
  • Nurse's Role / psychology
  • Nursing Administration Research
  • Nursing Methodology Research
  • Nursing Staff / organization & administration
  • Nursing Staff / psychology*
  • Nursing, Supervisory / organization & administration
  • Occupational Health
  • Regression Analysis
  • Risk Factors
  • Social Support
  • Surveys and Questionnaires