Purpose/Objectives: To examine factors that influenced the nurse’s perceived quality of work life and risk for compassion fatigue (CF). The specific aims of the study were to describe the (a) relationship among nurse characteristics and perceived quality of work life, (b) relationship between personal life stress and perceived quality of work life, and (c) the nurse’s beliefs about his or her risk for CF.
Research Approach: A descriptive, mixed-methods study.
Setting: A hematology-oncology unit in a large urban teaching hospital in Pennsylvania.
Participants: 20 oncology nurses.
Methodologic Approach: Descriptive study using questionnaires and in-depth interviews. The variables were nurse characteristics, personal life stress, and quality of work life. Data were analyzed descriptively and thematically. Scores on the self-report questionnaires were compared to themes.
Findings: Personal life stressors, measured by combining the Impact of Events Scale and Life Events Scale, identified powerful or severe impacts on well-being for 30% of nurse respondents in this study, theoretically placing them at risk for CF. However, qualitative data did not complement the results of the Life Events Scale, and 55% of the nurses described their overall work experiences as “life-affirming and rewarding.” The participants provided multiple sources of their work-related stress, including subcategories of communication breakdown, work environment/institution, and care-driven factors.
Conclusions: Overall, oncology nurses experienced positive reinforcement at work and they had little concern about individual or organizational effectiveness. Positive experiences offset the negative and balanced out the risk for CF.
Interpretation: The identification of personal and social contributors, as well as solutions to work-related stress, supports the philosophical premises (i.e., conceptual model) that the circumstances that place a nurse at risk for CF are socially constructed. Nurses can achieve greater empathy through self-understanding and translate this learning to patient care.