The current situation of compassion fatigue and the construction of a prediction model for nurses in the geriatrics department of a tertiary general hospital in Chongqing
Objective To investigate the current status of compassion fatigue among nurses in the geriatrics department of a tertiary hospital in Chongqing,analyze its influencing factors,and construct a predictive model.Methods A total of 39 nurses from the geriatrics department were enrolled as study participants.General demographic data were collected,and the Chi-nese versions of the Compassion Fatigue Scale,Big Five Personality Scale,and Social Support Rating Scale were used to assess the nurses'compassion fatigue,Big Five personality traits,and social support.A logistic regression model was constructed to ana-lyze the data.Results Among the 39 nurses,31 experienced compassion fatigue,with an incidence rate of 79.49%.Univariate analysis revealed that average daily working hours,income satisfaction,job satisfaction,and sleep quality had significant impacts on the occurrence of compassion fatigue(P<0.05).Correlation analysis showed that compassion satisfaction scores were posi-tively correlated with conscientiousness and negatively correlated with neuroticism.Multiple regression analysis confirmed the sig-nificant relationship between neuroticism and compassion satisfaction.The regression equation was established as follows:Com-passion Satisfaction Score=28.104-4.111 x Average Daily Working Hours-2.171 x Income Satisfaction-2.83 x Job Satis-faction-0.226 x Sleep Quality-0.452 x Neuroticism Score+0.721 x Conscientiousness Score+0.176 x Subjective Support Score+0.684 x Support Utilization.Conclusion Neuroticism is an independent influencing factor of compassion fatigue among nurses in the geriatrics department.The constructed logistic regression model provides valuable reference for the management of compassion fatigue and offers new scientific evidence for the early clinical identification of nurses at risk of compassion fatigue.
Geriatrics departmentNursesCompassion fatiguePredictive model