The Cost-Effectiveness of a Novel Online Social Therapy to Maintain Treatment Effects From First-Episode Psychosis Services: Results From the Horyzons Randomized Controlled Trial.

BACKGROUND: Digital interventions have potential applications in promoting long-term recovery and improving outcomes in first-episode psychosis (FEP). This study aimed to evaluate the cost-effectiveness of Horyzons, a novel online social therapy to support young people aged 16-27 years following discharge from FEP services, compared with treatment as usual (TAU) from a healthcare sector and a societal perspective. STUDY DESIGN: A cost-effectiveness analysis (CEA), based on the change in social functioning, and a cost-utility analysis (CUA) using quality-adjusted life years were undertaken alongside a randomized controlled trial. Intervention costs were determined from study records; resources used by patients were collected from a resource-use questionnaire and administrative data. Mean costs and outcomes were compared at 18 months and incremental cost-effectiveness ratios were calculated. Uncertainty analysis using bootstrapping and sensitivity analyses was conducted. STUDY RESULTS: The sample included 170 participants: Horyzons intervention group (n = 86) and TAU (n = 84). Total costs were significantly lower in the Horyzons group compared with TAU from both the healthcare sector (-AU$4789.59; P < .001) and the societal perspective (-AU$5131.14; P < .001). In the CEA, Horyzons was dominant, meaning it was less costly and resulted in better social functioning. In the CUA, the Horyzons intervention resulted in fewer costs but also yielded fewer QALYs. However, group differences in outcomes were not statistically significant. When young people engaged more with the platform, costs were shown to decrease and outcomes improved. CONCLUSIONS: The Horyzons intervention offers a cost-effective approach for improving social functioning in young people with FEP after discharge from early intervention services.

Inelastic scattering of electrons in water from first principles: cross sections and inelastic mean free path for use in Monte Carlo track-structure simulations of biological damage.

Modelling the inelastic scattering of electrons in water is fundamental, given their crucial role in biological damage. In Monte Carlo track-structure (MC-TS) codes used to assess biological damage, the energy loss function (ELF), from which cross sections are extracted, is derived from different semi-empirical optical models. Only recently have first ab initio results for the ELF and cross sections in water become available. For benchmarking purpose, in this work, we present ab initio linear-response time-dependent density functional theory calculations of the ELF of liquid water. We calculated the inelastic scattering cross sections, inelastic mean free paths, and electronic stopping power and compared our results with recent calculations and experimental data showing a good agreement. In addition, we provide an in-depth analysis of the contributions of different molecular orbitals, species and orbital angular momenta to the total ELF. Moreover, we present single-differential cross sections computed for each molecular orbital channel, which should prove useful for MC-TS simulations.

Pharmacist Perception of a Mobile Application Audience Response System for Remote Pharmacy Continuing Education Participants.

INTRODUCTION: Interactive audience response during continuing education (CE) in pharmacy practice increases audience involvement. However, remote-site participants may not have access to interactive technology. This study explores the perceptions of a mobile application audience response system (ARS) by remote pharmacy CE participants. Secondarily, we evaluatedinterest in continued use of ARS, as well as willingness to use as an assessment tool for CE effectiveness. METHODS: Pharmacists participating in CE sessions remotely within a health system were provided a unique ARS session code to enter into a free mobile application. Participants then responded to ARS presentation questions. An online survey link was e-mailed to all potential remote participants inquiring about perceptions of ARS use. RESULTS: Of the 52 potential remote users, 28 (53.8%) responded to the survey. The top 3 positive responses included the availability of free software (71.4%), anonymity (57.1%), and ease of use (53.6%). Top 2 barriers included slowing the process down (14.3%) and requiring the use of application software (14.3%). DISCUSSION: Interactive software during pharmacy CE lectures for participants at remote locations within a health system was well accepted. ARS should be considered and further studied for CE lectures at institutions with remote participants.

Sexual objectification in women's daily lives: A smartphone ecological momentary assessment study.

Sexual objectification, particularly of young women, is highly prevalent in modern industrialized societies. Although there is plenty of experimental and cross-sectional research on objectification, prospective studies investigating the prevalence and psychological impact of objectifying events in daily life are scarce. We used ecological momentary assessment to track the occurrence of objectifying events over 1 week in the daily lives of young women (N = 81). Participants reported being targeted by a sexually objectifying event - most often the objectifying gaze - approximately once every 2 days and reported witnessing sexual objectification of others approximately 1.35 times per day. Further, multilevel linear regression analyses showed that being targeted by sexual objectification was associated with a substantial increase in state self-objectification. Overall, individual differences had little impact in moderating these effects.

Negative emotion differentiation: its personality and well-being correlates and a comparison of different assessment methods.

Previous research has shown that individual differences in negative emotion differentiation may play a prominent role in well-being. Yet, many basic questions about negative emotion differentiation remain unanswered, including how it relates and overlaps with related and known dimensions of individual differences and what its possible underlying processes are. To answer these questions, in the current article we present three correlational studies that chart the nomological network of individual differences in negative emotion differentiation in terms of personality, difficulties in identifying and describing feelings, and several indicators of well-being, propose a novel paradigm to assess it in the lab, and explore relationships with a possible underlying mechanism in terms of the motivation to approach or avoid emotions. The results affirm consistent relations between negative emotion differentiation and indicators of adjustment like negative affect, self-esteem, neuroticism, depression and meta-knowledge about one's emotions, and show how it is related to the motivation to experience affective states.