Demographic and clinical predictors of response to internet-enabled cognitive-behavioural therapy for depression and anxiety.

BACKGROUND: Common mental health problems affect a quarter of the population. Online cognitive-behavioural therapy (CBT) is increasingly used, but the factors modulating response to this treatment modality remain unclear. AIMS: This study aims to explore the demographic and clinical predictors of response to one-to-one CBT delivered via the internet. METHOD: Real-world clinical outcomes data were collected from 2211 NHS England patients completing a course of CBT delivered by a trained clinician via the internet. Logistic regression analyses were performed using patient and service variables to identify significant predictors of response to treatment. RESULTS: Multiple patient variables were significantly associated with positive response to treatment including older age, absence of long-term physical comorbidities and lower symptom severity at start of treatment. Service variables associated with positive response to treatment included shorter waiting times for initial assessment and longer treatment durations in terms of the number of sessions. CONCLUSIONS: Knowledge of which patient and service variables are associated with good clinical outcomes can be used to develop personalised treatment programmes, as part of a quality improvement cycle aiming to drive up standards in mental healthcare. This study exemplifies translational research put into practice and deployed at scale in the National Health Service, demonstrating the value of technology-enabled treatment delivery not only in facilitating access to care, but in enabling accelerated data capture for clinical research purposes. DECLARATION OF INTEREST: A.C., S.B., V.T., K.I., S.F., A.R., A.H. and A.D.B. are employees or board members of the sponsor. S.R.C. consults for Cambridge Cognition and Shire. Keywords: Anxiety disorders; cognitive behavioural therapies; depressive disorders; individual psychotherapy.

Where on the obsessive impulsive-compulsive spectrum does hair-pulling disorder belong?

OBJECTIVE: Hair-pulling disorder (HPD) is a putative obsessive-compulsive spectrum disorder, but proper categorization is challenging. Distinct subgroups of HPD may exist, depending on the primary motivation in the act of pulling. Two notable proposed subgroups are "relief pullers" (pulling primarily to reduce anxiety- a "compulsive" subgroup) and "pleasure/gratification pullers" (pulling primarily for reward- an "impulsive" subgroup) which we sought to examine in order to contribute to conversations on the categorization of HPD. METHODS: A total of 111 HPD subjects (mean age 33.7 ± 10.7 [range 18-61] years; 87.4% female) were included. Demographic and clinical characteristics were compared between subgroups (pleasure: n = 51; relief: n = 60); and cognitive performance where data were available (n = 29 per group) and 32 matched healthy controls. RESULTS: No significant demographic differences were noted between groups. Pleasure pullers were significantly more conscious of their pulling. Response inhibition and set shifting deficits were noted in HPD versus controls; however, pleasure and relief pullers did not differ significantly from each other on neurocognitive measures. CONCLUSIONS: The results suggest common clinical features and associated neural dysfunction between relief and pleasure/gratification pullers, rather than supporting their existence as discrete clinical entities. Selection of appropriate treatment may focus on other aspects of hair pulling, including family history and comorbidity.

Selective decision-making deficits in at-risk gamblers.

Despite reasonable knowledge of pathological gambling (PG), little is known of its cognitive antecedents. We evaluated decision-making and impulsivity characteristics in people at risk of developing PG using neuropsychological tests. Non-treatment seeking volunteers (18-29 years) who gamble ≥ 5 times/year were recruited from the general community, and split into two groups: those "at risk" of developing PG (n=74) and those social, non-problem gamblers (n=112). Participants undertook the Cambridge Gamble and Stop-signal tasks and were assessed with the Mini-International Neuropsychiatric Interview and the Yale Brown Obsessive Compulsive Scale Modified for Pathological Gambling. On the Cambridge Gamble task, the at-risk subjects gambled more points overall, were more likely to go bankrupt, and made more irrational decisions under situations of relative risk ambiguity. On the Stop-signal task, at-risk gamblers did not differ from the social, non-problem gamblers in terms of motor impulse control (stop-signal reaction times). Findings suggest that selective cognitive dysfunction may already be present in terms of decision-making in at-risk gamblers, even before psychopathology arises. These findings implicate selective decision-making deficits and dysfunction of orbitofronto-limbic circuitry in the chain of pathogenesis between social, non-problematic and pathological gambling.