A process evaluation was performed for an intervention aimed at improvement of the management of neuropsychiatric symptoms in young-onset dementia. Data about sample quality and intervention quality was evaluated to better understand internal and external validity. In addition, data about the implementation strategy and factors affecting implementation were evaluated to improve further implementation of the intervention. A model proposed by Leontjevas and colleagues consisting of first-order (validity) and second-order (implementation) data was used. Care units delivering specialized treatment and support for residents with young-onset dementia. A description of the recruitment, randomization procedure, and intervention reach was carried out to determine sample quality. To determine intervention quality, data on satisfaction, relevance, feasibility, and fidelity were collected through a questionnaire and reports logged on the server of the web-based intervention. A description of the implementation strategy was provided. Barriers and facilitators for implementation were collected by a questionnaire and analyzed by deductive content analysis. Care units varied in size and were recruited from different geographical regions in the Netherlands. The informed consent rate of the residents was 87.7%. The majority of the nursing home staff were satisfied with the intervention. However, parts of the intervention were perceived as less relevant for their own organization. The feasibility of the intervention was considered low. The fidelity differed between care units. The implementation strategy did not overcome all barriers. Factors affecting implementation covered 3 themes: organizational aspects, culture of the organization, and aspects of the intervention. In general, our results showed sufficient internal and external validity, warranting further effect analyses. Adaptations to specific steps of the care program should be considered to increase feasibility and sustainability. In addition, integration of the care program into the electronic health records is expected to further improve implementation.

The Bedford Alzheimer Nursing-Severity Scale (BANS-S) assesses disease severity in patients with advanced Alzheimer's disease. Since Alzheimer is a progressive disease, studying the hierarchy of the items in the scale can be useful to evaluate the progression of the disease. Data from 164 Alzheimer's patients and 186 patients with other dementia were analyzed using the Mokken Scaling Methodology to determine whether respondents can be ordered in the trait dementia severity, and to study whether an ordering between the items exist. The scalability of the scale was evaluated by the H coefficient. Results showed that the BANS-S is a reliable and medium scale (0.4≤H<0.5) for the Alzheimer group. All items with the exception of the item about mobility could be ordered. When later item was eliminated from the scale, the H coefficient decreased indicating that the scalability of the scale in the original form is more accurate than in the shorter version. For the other dementia group, the BANS-S did not fit any of the Mokken Scaling models because the scale was not unidimensional. In this group, a shorter version of the scale without the sleeping cycle item and the mobility item has better reliability and scalability properties than the original scale.