Are Premorbid Abnormal Personality Traits Associated with Behavioural and Psychological Symptoms in Dementia?

Objective: The study aims to investigate associations between behavioural and psychological symptoms of dementia (BPSD) and abnormal premorbid personality traits. Methods: Data were obtained from 217 patients with a diagnosis of probable Alzheimer’s disease. Behavioural and psychological symptoms of late-onset dementia were assessed with the Neuropsychiatric Inventory. Premorbid personality traits were assessed using the Standardised Assessment of Personality. Abnormal premorbid personality traits were categorised with Diagnostic and Statistical Manual of Mental Disorders fourth edition and International Statistical Classification of Diseases and Related Health Problems—10 diagnostic criteria for personality disorders. Results: Abnormal premorbid personality traits were associated with increased behavioural and psychological symptoms in dementia. Cluster A (solitary/paranoid) premorbid personality traits were associated with anxiety, depression and hallucinations. Cluster C (anxious/dependent) traits were associated with a syndrome of depression. Conclusions: The presence of Clusters A (solitary/paranoid) and C (anxious/dependent) abnormal premorbid personality traits seems to affect the expression of certain behavioural and psychological symptoms in dementia, depression in particular. Copyright # 2016 John Wiley & Sons, Ltd

Clinical Psychologists Training and Supervising IAPT Therapists to Work with Long-term Conditions and Medically Unexplained Symptoms: A Service Development Project

An IAPT service and a clinical health psychology team piloted a service development providing Step 2 and Step 3 services for individuals with long-term health conditions. Results indicate that such services may be offered with access to specialist training and supervision.

Large-scale Roll Out of Online Prospective Measurement of Mood Symptoms in Affective Disorders

Background and Aims: True Colours is an online prospective mood-monitoring system developed at the University of Oxford to assist local patients and clinicians with monitoring course of illness in bipolar disorder. We report our initial experiences of using True Colours for research purposes in the Bipolar Disorder Research Network (BDRN; www.bdrn.org), a large research network of individuals with mood disorders spread throughout the UK. Methods: After initial piloting to ensure the practicality/acceptability of using True Colours within BDRN, we invited all BDRN participants (n = 7000) to participate in weekly True Colours ratings via three postal invitations sent over an 8-month period. Results: Following the three postal invitations, 915 individuals have so far expressed an interest in joining True Colours, and, of these, 662 (72.3%) have registered. 32 of those who registered for True Colours (5%) have so far asked to leave the system. Positive feedback from participants has focused around the ease of use and convenience of True Colours and potential clinical utility of the graphical representation of weekly mood scores. Conclusions: We have demonstrated that large-scale prospective mood monitoring for research purposes using a contemporary online approach is feasible. Challenges have included: (i) variation in participants’ technological ability; (ii) management of requests for clinical advice based on mood scores within a research setting; and, (iii) resources required to provide access and on-going support for participants using True Colours. We continue to expand recruitment to True Colours within BDRN, and plan to trial email invitations in the next phase of recruitment.