<p>Home care nursing gains in importance due to demographic changes. The aim of our study was to explore the associations between home care-nurses’ work situation and their mental health. Data were analysed from a cross-sectional survey of 976 home care nurses recruited from a full sample of invited home care services in Germany. First a descriptive analysis of the work and health situation was carried out. Second a two-step cluster analysis was performed to classify home care nurses based on work-related mental health parameters (irritation, burnout, work engagement). The predicting job demands on basis of the JDR-model in each cluster were analysed via multiple logistic regression. Two clusters (“healthy” and “not healthy”) with significant differences regarding the mental health parameters emerged. Emotional demands and higher work intensity increase the likelihood for home care nurses of being classified in Cluster 1 (“unhealthy”) while social support from colleagues and supervisors increases the likelihood for home care nurses of being classified in Cluster 2. There is an urgent need to develop and implement targeted interventions for home care nurses to cope with emotional demands, reduce their work intensity and improve social support. Only by improving these working conditions home care nurses’ mental health and therefore care quality can be secured.</p>

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Work-related factors and mental health among home care nurses identified by two-step cluster analysis

  • Julia Petersen,
  • Marlen Melzer

摘要

Home care nursing gains in importance due to demographic changes. The aim of our study was to explore the associations between home care-nurses’ work situation and their mental health. Data were analysed from a cross-sectional survey of 976 home care nurses recruited from a full sample of invited home care services in Germany. First a descriptive analysis of the work and health situation was carried out. Second a two-step cluster analysis was performed to classify home care nurses based on work-related mental health parameters (irritation, burnout, work engagement). The predicting job demands on basis of the JDR-model in each cluster were analysed via multiple logistic regression. Two clusters (“healthy” and “not healthy”) with significant differences regarding the mental health parameters emerged. Emotional demands and higher work intensity increase the likelihood for home care nurses of being classified in Cluster 1 (“unhealthy”) while social support from colleagues and supervisors increases the likelihood for home care nurses of being classified in Cluster 2. There is an urgent need to develop and implement targeted interventions for home care nurses to cope with emotional demands, reduce their work intensity and improve social support. Only by improving these working conditions home care nurses’ mental health and therefore care quality can be secured.