Communication, advice exchange and job satisfaction of nursing staff: a social network analyses of 35 long-term care units.

BACKGROUND: The behaviour of individuals is affected by the social networks in which they are embedded. Networks are also important for the diffusion of information and the influence of employees in organisations. Yet, at the moment little is known about the social networks of nursing staff in healthcare settings. This is the first study that investigates informal communication and advice networks of nursing staff in long-term care. We examine the structure of the networks, how they are related to the size of units and characteristics of nursing staff, and their relationship with job satisfaction. METHODS: We collected social network data of 380 nursing staff of 35 units in group projects and psychogeriatric units in nursing homes and residential homes in the Netherlands. Communication and advice networks were analyzed in a social network application (UCINET), focusing on the number of contacts (density) between nursing staff on the units. We then studied the correlation between the density of networks, size of the units and characteristics of nursing staff. We used multilevel analyses to investigate the relationship between social networks and job satisfaction of nursing staff, taking characteristics of units and nursing staff into account. RESULTS: Both communication and advice networks were negatively related to the number of residents and the number of nursing staff of the units. Communication and advice networks were more dense when more staff worked part-time. Furthermore, density of communication networks was positively related to the age of nursing staff of the units. Multilevel analyses showed that job satisfaction differed significantly between individual staff members and units and was influenced by the number of nursing staff of the units. However, this relationship disappeared when density of communication networks was added to the model. CONCLUSIONS: Overall, communication and advice networks of nursing staff in long-term care are relatively dense. This fits with the high level of cooperation that is needed to provide good care to residents. Social networks are more dense in small units and are also shaped by characteristics of staff members. The results furthermore show that communication networks are important for staff's job satisfaction.

Social engagement and depressive symptoms of elderly residents with dementia: a cross-sectional study of 37 long-term care units.

BACKGROUND: Social engagement and depression are important outcomes for residents with dementia in long-term care. However, it is still largely unclear which differences in social engagement and depression exist in residents of various long-term care settings and how these differences may be explained. This study investigated the relationship between social engagement and depressive symptoms in long-term care dementia units, and studied whether differences in social engagement and depressive symptoms between units can be ascribed to the composition of the resident population or to differences in type of care setting. METHODS: Thirty-seven long-term care units for residents with dementia in nursing- and residential homes in the Netherlands participated in the study. Social engagement and depressive symptoms were measured for 502 residents with the Minimum Data Set of the Resident Assessment Instrument. Results were analyzed using multilevel analysis. RESULTS: Residents of psychogeriatric units in nursing homes experienced low social engagement. Depressive symptoms were most often found in residents of psychogeriatric units in residential homes. Multilevel analyses showed that social engagement and depressive symptoms correlated moderately on the level of the units. This correlation disappeared when the characteristics of residents were taken into account. CONCLUSIONS: Social engagement and depressive symptoms are influenced not only by individual characteristics but also by the type of care setting in which residents live. However, in this study social engagement and depressive symptoms were not strongly related to each other, implying that separate interventions are needed to improve both outcomes.