Priming to induce paranoid thought in a non clinical population.

Freeman et al. reported that a substantial minority of the general population has paranoid thoughts while exposed in a virtual environment. This suggested that in a development phase of a virtual reality exposure system for paranoid patients initially a non-clinical sample could be used to evaluate the system's ability to induce paranoid thoughts. To increase the efficiency of such an evaluation, this paper takes the position that when appropriately primed a larger group of a non-clinical sample will display paranoid thoughts. A 2-by-2 experiment was conducted with priming for insecurity and vigilance as a withinsubject factor and prior-paranoid thoughts (low or high) as a between-subjects factor. Before exposure into the virtual world, participants (n = 24) were shown a video and read a text about violence or about mountain animals. While exposed, participants were asked to comment freely on their virtual environment. The results of the experiment confirmed that exposure in a virtual environment could induce paranoid thought. In addition, priming with an aim to create a feeling of insecurity and vigilance increased paranoid comments in the non-clinical group that otherwise would less often exhibit ideas of persecutio

Users’ needs for a digital smoking cessation application and how to address them: a mixed-methods study

Health and self-regulatio

Virtual reality and collaborative learning: a systematic literature review

Computer Systems, Imagery and Medi

A comparison of three treatment strategies in recent onset non-systemic Juvenile Idiopathic Arthritis: Initial 3-months results of the BeSt for Kids-study

Background: Combination therapy with prednisone or etanercept may induce earlier and/or more improvement in disease activity in Disease Modifying Anti Rheumatic Drug (DMARD) naïve non-systemic Juvenile Idiopathic Arthritis (JIA) patients. Here we present three months clinical outcome of initial treatments of the BeSt-for-Kids study. Methods: Included patients were randomized to either: 1. initial DMARD-monotherapy (sulfasalazine (SSZ) or methotrexate (MTX)), 2. Initial MTX / prednisolone-bridging, 3. Initial combination MTX/etanercept. Percentage inactive disease, adjusted (a) ACR Pedi30, 50 and 70 and JADAS after 6 and 12 weeks of treatment (intention to treat analysis) and side effects are reported. Results: 94 patients (67% girls, 32 (arm 1), 32 (arm 2) and 30 (arm 3) with median (InterQuartileRange) age of 9.1 (4.7-12.9) years were included. 38% were ANA positive, 10 had oligo-articular disease, 68 polyarticular JIA and 16 psoriatic arthritis. Baseline median (IQR) ACRpedi-scores: VAS physician 49 (40-58) mm, VAS patient 54 (37-70) mm, ESR 6.5 (2-14.8)mm/hr, active joint count 8 (5-12), limited joint count 3 (1-5), CHAQ score 0.88 (0.63-1.5). In arm 1, 17 started with MTX, 15 with SSZ. After 3 months, aACR Pedi 50 was reached by 10/32 (31%), 12/32(38%) and 16/30 (53%) (p = 0.19) and aACR Pedi 70 was reached by 8/32 (25%), 6/32(19%) and 14/30(47%) in arms 1-3 (p = 0.04). Toxicity was similar. Few serious adverse events were reported. Conclusion: After 3 months of treatment in a randomized trial, patients with recent-onset JIA achieved significantly more clinical improvement (aACRPedi70) on initial combination therapy with MTX / etanercept than on initial MTX or SSZ monotherapy. Trial registration:NTR1574. Registered 3 December 2008

In therapy with avatars

Combating phobias and psychotic disorders using virtual technology: that is what the work of Dr. Willem-Paul Brinkman of the Faculty of Electrical Engineering, Mathematics and Computer Science involves. Of course one does not have any of these disorders oneself – or at least that’s what our reporter also thought

Cognitive engineering in mental health computing

Computer applications in support of mental health care and rehabilitation are becoming more widely used. They include technologies such as virtual reality, electronic diaries, multimedia, brain computing and computer games. Research in this area is emerging, and focussing on a variety of issues, such as clinical effectiveness of a computer supported intervention, usability of a system, human values that are affected by a technological intervention, actual use, acceptance, and accessibility of these systems. To classify and to understand the objectives of the work presented in this special issue the mental health computing research model is presented. This descriptive model identified four research categories: (1) technology elements, (2) technology intervention, (3) clinical effect, and (4) field use. Each category has its own focus, methods and set of researchers.MediamaticsElectrical Engineering, Mathematics and Computer Scienc