Facilitators and barriers in implementing clinical nursing assessment in mental health care for older people: A multimethod approach

With the aging of the population and the growing prevalence of dementia, specialized and collaborative nursing care is paramount in this area. To ensure better quality care, it is necessary to use effective and context-specific processes to implement evidence-based practices and more specifically clinical nursing assessment. This study aimed to identify and describe factors that may influence the implementation of clinical nursing assessment in mental health care for older people. The Consolidated Framework for Implementation Research was employed to guide evaluation in the pre-implementation phase in the specific context of mental health care for older people. Using a multimethod approach, interviews, focus groups, and a quantitative survey were conducted with a non-probability convenience sample. A total of 39 hospital nurses (registered nurses and head nurses) were interviewed. Analysis yielded five main factors, notably three barriers and two facilitators. Barriers include a lack of general nursing culture, deficiencies in leadership, and difficulties in communication and collaboration. Facilitators comprise team cohesion and the perceived benefits of the study.

Development and validation of clinical profiles of patients hospitalized due to behavioral and psychological symptoms of dementia

BACKGROUND

Patients hospitalized on acute psychogeriatric wards are a heterogeneous population. Cluster analysis is a useful statistical method for partitioning a sample of patients into well separated groups of patients who present common characteristics. Several patient profile studies exist, but they are not adapted to acutely hospitalized psychogeriatric patients with cognitive impairment. The present study aims to partition patients hospitalized due to behavioral and psychological symptoms of dementia into profiles based on a global evaluation of mental health using cluster analysis.

METHODS

Using nine of the 13 items from the Health of the Nation Outcome Scales for elderly people (HoNOS65+), data were collected from a sample of 542 inpatients with dementia who were hospitalized between 2011 and 2014 in acute psychogeriatric wards of a Swiss university hospital. An optimal clustering solution was generated to represent various profiles, by using a mixed approach combining hierarchical and non-hierarchical (k-means) cluster analyses associated with a split-sample cross-validation. The quality of the clustering solution was evaluated based on a cross-validation, on a k-means method with 100 random initial seeds, on validation indexes, and on clinical interpretation.

RESULTS

The final solution consisted of four clinically distinct and homogeneous profiles labeled (1) BPSD-affective, (2) BPSD-functional, (3) BPSD-somatic and (4) BPSD-psychotic according to their predominant clinical features. The four profiles differed in cognitive status, length of hospital stay, and legal admission status.

CONCLUSION

In the present study, clustering methods allowed us to identify four profiles with distinctive characteristics. This clustering solution may be developed into a classification system that may allow clinicians to differentiate patient needs in order to promptly identify tailored interventions and promote better allocation of available resources.