Standardization of health outcomes assessment for depression and anxiety: recommendations from the ICHOM Depression and Anxiety Working Group

Purpose National initiatives, such as the UK Improving Access to Psychological Therapies program (IAPT), demonstrate the feasibility of conducting empirical mental health assessments on a large scale, and similar initiatives exist in other countries. However, there is a lack of international consensus on which outcome domains are most salient to monitor treatment progress and how they should be measured. The aim of this project was to propose (1) an essential set of outcome domains relevant across countries and cultures, (2) a set of easily accessible patient-reported instruments, and (3) a psychometric approach to make scores from different instruments comparable. Methods: Twenty-four experts, including ten health outcomes researchers, ten clinical experts from all continents, two patient advocates, and two ICHOM coordinators worked for seven months in a consensus building exercise to develop recommendations based on existing evidence using a structured consensus-driven modified Delphi technique. Results: The group proposes to combine an assessment of potential outcome predictors at baseline (47 items: demographics, functional, clinical status, etc.), with repeated assessments of disease-specific symptoms during the treatment process (19 items: symptoms, side effects, etc.), and a comprehensive annual assessment of broader treatment outcomes (45 items: remission, absenteeism, etc.). Further, it is suggested reporting disease-specific symptoms for depression and anxiety on a standardized metric to increase comparability with other legacy instruments. All recommended instruments are provided online (www.ichom.org). Conclusion: An international standard of health outcomes assessment has the potential to improve clinical decision making, enhance health care for the benefit of patients, and facilitate scientific knowledge. Electronic supplementary material The online version of this article (doi:10.1007/s11136-017-1659-5) contains supplementary material, which is available to authorized users

Implementation of Anxiety UK’s Ask Anxia® chatbot service : Lessons learned

Chatbots are increasingly being applied in the context of healthcare, providing access to services when there are constraints on human resources. Simple, rule-based chatbots are suited to high-volume, repetitive tasks and can therefore be used effectively in providing users with important health information. In this viewpoint paper, we report on the implementation of a chatbot service called Ask Anxia® as part of a wider provision of information and support services offered by the UK national charity, Anxiety UK. We reflect on the changes made to the chatbot over the course of approximately 18 months as the Anxiety UK team monitored its performance and responded to recurrent themes in user queries by developing further information and services. We demonstrate how corpus linguistics can contribute to the evaluation of user queries and the optimisation of responses. Based on these observations of how Anxiety UK has developed its own chatbot service, we offer recommendations for organisations looking to add automated conversational interfaces to their services

Development of a dual school climate and school identification measure–student (SCASIM-St)

Extensive but separate bodies of research in education concern the constructs of school climate and school connectedness/belonging. In the interests of advancing a more integrated approach, a new measurement tool is developed– the School Climate and School Identification Measure–Student (SCASIM-St). This scale builds on the Moos (1973) framework which assesses relationships, personal growth, and system management in schools. The social identity approach to group processes (Tajfel & Turner, 1979; Turner, Hogg, Oakes, Reicher, & Wetherell, 1987) is used to extend work on school connectedness and belonging through the inclusion of a measure of social identification. A range of methods across three studies are designed to assess the reliability and validity of SCASIM-St (N = 7209, Australian grades 7–10 students). These include confirmatory factor analysis, test-retest analysis, and convergent validity (Study 1 and 2). Additionally measurement invariance tests for student sub-groups regarding gender, grade level, and non-English language, were employed in Study 3. It also included criterion validity analysis using multilevel models for the key outcome measures of students’ academic achievement, well-being, and aggressive behaviors. All of these analyses indicate that SCASIM-St is an effective measure. Theoretical and practical implications as well as future directions are outlined

Data from: Elucidating steroid alkaloid biosynthesis in Veratrum californicum: production of verazine in Sf9 cells

Steroid alkaloids have been shown to elicit a wide range of pharmacological effects that include anticancer and antifungal activities. Understanding the biosynthesis of these molecules is essential to bioengineering for sustainable production. Herein, we investigate the biosynthetic pathway to cyclopamine, a steroid alkaloid that shows promising antineoplastic activities. Supply of cyclopamine is limited, as the current source is solely derived from wild collection of the plant Veratrum californicum. To elucidate the early stages of the pathway to cyclopamine, we interrogated a V. californicum RNA-seq dataset using the cyclopamine accumulation profile as a predefined model for gene expression with the pattern-matching algorithm Haystack. Refactoring candidate genes in Sf9 insect cells led to discovery of four enzymes that catalyze the first six steps in steroid alkaloid biosynthesis to produce verazine, a predicted precursor to cyclopamine. Three of the enzymes are cytochromes P450 while the fourth is a γ-aminobutyrate transaminase; together they produce verazine from cholesterol

Data from: Elucidating steroid alkaloid biosynthesis in Veratrum californicum: production of verazine in Sf9 cells

Steroid alkaloids have been shown to elicit a wide range of pharmacological effects that include anticancer and antifungal activities. Understanding the biosynthesis of these molecules is essential to bioengineering for sustainable production. Herein, we investigate the biosynthetic pathway to cyclopamine, a steroid alkaloid that shows promising antineoplastic activities. Supply of cyclopamine is limited, as the current source is solely derived from wild collection of the plant Veratrum californicum. To elucidate the early stages of the pathway to cyclopamine, we interrogated a V. californicum RNA-seq dataset using the cyclopamine accumulation profile as a predefined model for gene expression with the pattern-matching algorithm Haystack. Refactoring candidate genes in Sf9 insect cells led to discovery of four enzymes that catalyze the first six steps in steroid alkaloid biosynthesis to produce verazine, a predicted precursor to cyclopamine. Three of the enzymes are cytochromes P450 while the fourth is a γ-aminobutyrate transaminase; together they produce verazine from cholesterol

p450 Gene Tree Augustin et al. 2015

p450 Gene Tree Augustin et al. 201

The Artist's Joke

"This anthology traces humour's role in transforming the practice and experience of art, from the early twentieth-century avant-gardes, through Fluxus and Pop, to the diverse, often uncategorizable works of some of the most influential artists today" -- p. [4] of cover