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Background: Performance indicators in the long term care sector are important to evaluate the efficiency and quality of care delivery. We are, however, still far from being able to refer to a common set of indicators at the European level.We therefore demonstrate the calculation of Long Term Care Facility Quality Indicators (LTCFQIs) from data of the European Services and Health for Elderly in Long TERm Care (SHELTER) project. We explain how risk factors are taken into account and show how LTC facilities at facility and country level can be compared on quality of care using thresholds and a Quality Indicator sum measure., Methods: The indicators of Long Term Care Facility quality of care are calculated based on methods that have been developed in the US. The values of these Quality Indicators (QIs) are risk adjusted on the basis of covariates resulting from logistic regression analysis on each of the QIs. To enhance the comparison of QIs between facilities and countries we have used the method of percentile thresholds and developed a QI sum measure based on percentile outcomes., Results: In SHELTER data have been collected with the interRAI Long Term Care Facility instrument (interRAI-LTCF). The data came from LTC facilities in 7 European countries and Israel. The unadjusted values of the LTCF Quality Indicators differ considerably between facilities in the 8 countries. After risk adjustment the differences are less, but still considerable. Our QI sum measure facilitates the overall comparison of quality of care between facilities and countries., Conclusions: With quality indicators based on assessments with the interRAI LTCF instrument quality of care between LTC facilities in and across nations can be adequately compared.

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.

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.

Background and Objective: Many patients who suffer from an acute stroke, will need long-term nursing home care. We are poorly informed about the demographic and clinical characteristics and about the care problems and received care of these patients. This study aims to provide a first description of these characteristics in this group of patients., Methods: Data on demographic and health-related characteristics, social participation and received care were collected with the Minimum Data Set of the Resident Assessment Instrument, from january 2004-march 2007, in patients who needed long-term nursing home care. Data were collected in eight nursing homes at admission and six months after admission., Results: Many patients were functionally impaired, suffered from depressive symptoms and pain, and were cognitively impaired. In addition, decisional capacity was frequently diminished. The majority of patients were residing at somatic wards, even when severe cognitive impairment was present, such as dementia. Several forms of restraints were frequently used, also at somatic wards. About 40% of the patients, mostly residing at somatic wards, received paramedical treatment. Social engagement was low and was correlated with functional impairment., Conclusions: Stroke patients who need long-term nursing home care suffer from problems in several domains. The high prevalence of cognitive impairment in stroke patients residing at somatic wards, combined with the ample use of restraints on these wards, raises questions about the appropriateness of the currently delivered care to these patients, considering the problems they have.

The objective of this study was to improve validity and reliability estimates of the Index for Social Engagement (ISE) for long-term care. After exploring content validity and internal consistency in Dutch and Canadian data, two ISE items were dropped, and two new items were added. Reliability of this Revised ISE (RISE) was tested in 189 nursing home residents. It appeared that the RISE has enhanced reliability estimates, especially in residents with cognitive impairment. The RISE for long-term care improves the existing index by including additional dimensions of social engagement and by increasing the reliability of results for residents with cognitive impairment.

The objective was to construct a reliable and valid challenging behavior scale with items from the Minimum Data Set (MDS). Exploratory factor analyses of a sample of 656 nursing home residents yielded a 16-item Behavior Profile containing four internally consistent and valid subscales measuring conflict behavior, withdrawn behavior, agitation and attention seeking behavior (alpha range: 0.69-0.80). On a second dataset of 227 nursing home residents, internal consistency, inter-rater reliability and validity against the Behavior Rating Scale for Psychogeriatric Inpatients (GIP) were established. Internal consistency of the subscales ranged between 0.54 and 0.78. The overall inter-rater reliability of the items was 0.53 (kappa); of the scale it was 0.75 (ICC). The MDS Challenging Behavior Profile could potentially be an important contribution to existing clinical MDS-scales but additional studies on reliability, validity and usefulness are needed.

Objective: Prognostic information is important for guiding palliative care planning for patients with dementia. We aim to validate a risk score that uses Minimum Data Set (MDS) to estimate 6-month mortality for nursing home residents with advanced dementia., Design: Two cohort studies., Setting: Six nursing homes in The Netherlands, and 35 nursing homes in Missouri., Participants: Long-term stay residents with advanced dementia: 288 Dutch residents and 269 residents from Missouri who also had a lower respiratory tract infection (LRI)., Measurements: Patient risk factors and 6-month mortality., Results: Six-month mortality rates were 24.3% for Dutch residents, and 36.8% for US residents. The risk score's AUROC was 0.65 (CI 0.58-0.72), and 0.64 (CI 0.58-0.71), respectively. For the large majority of residents, observed mortality in the 2 validation cohorts were comparable to the development cohort. Among the few residents identified as at very high risk according to the risk score, observed mortality was lower than expected., Conclusion: The original mortality risk score predicted 6-month mortality with reasonable accuracy in 2 validation cohorts of nursing home residents with advanced dementia. Thus, the performance of the risk score, at least over the range of low to moderate risk (up to around 40% risk of mortality), can be generalized to long-stay (versus recently admitted) residents with advanced dementia, and to those with LRI.