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OBJECTIVES/GOALS: Leveraging Patient’s Experience to improve Diagnosis (LEAPED) is our proposed method of measuring diagnostic error through seeking patient feedback on their understanding of their diagnosis and health status following emergency department discharge. To pilot test LEAPED’s feasibility, we deployed and determined patient uptake of LEAPED. METHODS/STUDY POPULATION: To test LEAPED, we employed a longitudinal cohort study design at emergency departments across one academic health system in the Mid-Atlantic region. Patients consented to complete questionnaires regarding their understanding of their diagnosis and/or follow-up steps and their health status at 2 weeks, 1 month, and 3 months following emergency department discharge. People aged 18 and older who were seen at the emergency department within the past 7 days with at least one chronic condition (hypertension, diabetes, history of stroke, arthritis, cancer, heart disease, osteoporosis, depression, and/or chronic obstructive lung disease) and one or more of the following common chief complaints: chest pain, upper back pain, abdominal pain, shortness of breath/cough, dizziness, and headache were eligible to join the study. RESULTS/ANTICIPATED RESULTS: Of those enrolled (n = 59), 95% (n = 53) responded to the two week post-ED discharge questionnaire (1 and 3-month ongoing). Of the 6 non-responders, 1 had died and 3 were hospitalized at two weeks. The average age was 50 years (SD 16) and 64% were female. Over half of participants (53%) were white and 41% were black. Almost one-third (27%) reported they were not given an explanation of their health problem on leaving the ED, and of those, a third did not have an understanding of what steps to take after leaving the ED. Participants reported a new health problem was identified after ED discharge (19%), worsening health status (12%), and health status stayed the same (16%). DISCUSSION/SIGNIFICANCE OF IMPACT: Patient uptake of LEAPED was high, which suggests that patient-report is a feasible method of evaluating diagnostic decision making and delivery to patients and yields insightful information beyond administrative data. The next steps are to validate the accuracy of patient-reported diagnostic error by comparing with administrative data.
The social model of disability was implemented in the United States partially through the Americans with Disabilities Act (ADA), and most notably through certain universal accommodations for physical disabilities. The social model has also been applied to mental health, but the ADA did not provide for universal accommodations in mental health. In this Chapter, the authors conduct a systematic review of PubMed and PsycARTICLES to identify evidence for potential universal accommodations in mental health and discuss the policy and ethical considerations of implementing universal accommodations in mental health.
Many people with psychosis experience persecutory delusions and report negative schematic beliefs and intrusive mental images which may be maintaining factors for psychotic symptoms.
This study examined the feasibility and acceptability of a new psychological therapy targeting schemas and images (iMAPS therapy).
The study used a randomised multiple baseline design. Participants with first episode psychosis were randomised using a multiple baseline design with 2–5 assessments. Six sessions of therapy, consisting of a combination of imagery techniques and imagery rescripting techniques, was used. In each session, participants completed a Mental Imagery in Psychosis Questionnaire (MIPQ) and imagery interview. Mood and delusional beliefs (PSYRATS) were also measured at each session.
Five participants with first episode psychosis completed the baseline visits and attended all therapy sessions. One participant declined the final assessment. Results demonstrated significant reductions in negative schematic beliefs, delusions, imagery distress and other measures of schema (YSQ, SMI). Although multiple baseline randomisation strengthens the study, it lacked a control arm and blind assessments.
iMAPS appears a feasible and acceptable treatment for psychosis, and further evaluation is indicated.
In the UK, mental illness is a major source of disease burden costing in the region of £105 billion pounds. mHealth is a novel and emerging field in psychiatric and psychological care for the treatment of mental health difficulties such as psychosis.
To develop an intelligent real-time therapy (iRTT) mobile intervention (TechCare) which assesses participant's symptoms in real-time and responds with a personalised self-help based psychological intervention, with the aim of reducing participant's symptoms. The system will utilise intelligence at two levels:
– intelligently increasing the frequency of assessment notifications if low mood/paranoia is detected;
– an intelligent machine learning algorithm which provides interventions in real-time and also provides recommendations on the most popular selected interventions.
The aim of the current project is to develop a mobile phone intervention for people with psychosis, and to conduct a feasibility study of the TechCare App.
The study consists of both qualitative and quantitative components. The study will be run across three strands:
– qualitative work;
– test run and intervention refinement;
– feasibility trial.
Preliminary analysis of qualitative data from Strand 2 (test run and intervention refinement) in-depth interviews with service users (n = 2) and focus group with health professionals (n = 1), highlighted main themes around security of the device, multimedia and the acceptability of psychological interventions being delivered via the TechCare App.
Research in this area can be potentially helpful in addressing the demand on mental health services globally, particularly improving access to psychological interventions.
Disclosure of interest
The authors have not supplied their declaration of competing interest.
A physical oceanographic, geophysical and marine geological survey of Edward VIII Gulf, Kemp Coast, collected data from conductivity–temperature–depth casts, multi-beam bathymetric swath mapping and 3.5 kHz sub-bottom surveying. Modified circumpolar deep water (mCDW) is observed in Edward VIII Gulf, as well as notable bathymetric features including mega-scale glacial lineations and a 1750 m-deep trough. Sedimentological, geochemical, rock-magnetic and micropalaeontological analysis of two kasten cores document regional palaeoclimate and palaeo-oceanographic conditions over the past 8000 years, with a warm period occurring from c. 8 to 4 ka and a shift to cooler conditions beginning at c. 4 ka and persisting until at least 0.9 ka. Sediment packages > 40 m thick within deep troughs in Edward VIII Gulf present potential targets for higher-resolution Holocene and deglacial climate studies. Despite the presence of mCDW on the shelf, inland bed topography consisting of highland terrain suggests the likelihood of relative stability of this sector of the East Antarctic Ice Sheet.
The mechanism through which developmental programming of offspring overweight/obesity following in utero exposure to maternal overweight/obesity operates is unknown but may operate through biologic pathways involving offspring anthropometry at birth. Thus, we sought to examine to what extent the association between in utero exposure to maternal overweight/obesity and childhood overweight/obesity is mediated by birth anthropometry. Analyses were conducted on a retrospective cohort with data obtained from one hospital system. A natural effects model framework was used to estimate the natural direct effect and natural indirect effect of birth anthropometry (weight, length, head circumference, ponderal index, and small-for-gestational age [SGA] or large-for-gestational age [LGA]) for the association between pre-pregnancy maternal body mass index (BMI) category (overweight/obese vs normal weight) and offspring overweight/obesity in childhood. Models were adjusted for maternal and child socio-demographics. Three thousand nine hundred and fifty mother–child dyads were included in analyses (1467 [57.8%] of mothers and 913 [34.4%] of children were overweight/obese). Results suggest that a small percentage of the effect of maternal pre-pregnancy BMI overweight/obesity on offspring overweight/obesity operated through offspring anthropometry at birth (weight: 15.5%, length: 5.2%, head circumference: 8.5%, ponderal index: 2.2%, SGA: 2.9%, and LGA: 4.2%). There was a small increase in the percentage mediated when gestational diabetes or hypertensive disorders were added to the models. Our study suggests that some measures of birth anthropometry mediate the association between maternal pre-pregnancy overweight/obesity and offspring overweight/obesity in childhood and that the size of this mediated effect is small.
Following an outbreak of highly pathogenic avian influenza virus (HPAIV) in a poultry house, control measures are put in place to prevent further spread. An essential part of the control measures based on the European Commission Avian Influenza Directive 2005/94/EC is the cleansing and disinfection (C&D) of infected premises. Cleansing and disinfection includes both preliminary and secondary C&D, and the dismantling of complex equipment during secondary C&D is also required, which is costly to the owner and also delays the secondary cleansing process, hence increasing the risk for onward spread. In this study, a quantitative risk assessment is presented to assess the risk of re-infection (recrudescence) occurring in an enriched colony-caged layer poultry house on restocking with chickens after different C&D scenarios. The risk is expressed as the number of restocked poultry houses expected before recrudescence occurs. Three C&D scenarios were considered, namely (i) preliminary C&D alone, (ii) preliminary C&D plus secondary C&D without dismantling and (iii) preliminary C&D plus secondary C&D with dismantling. The source-pathway-receptor framework was used to construct the model, and parameterisation was based on the three C&D scenarios. Two key operational variables in the model are (i) the time between depopulation of infected birds and restocking with new birds (TbDR) and (ii) the proportion of infected material that bypasses C&D, enabling virus to survive the process. Probability distributions were used to describe these two parameters for which there was recognised variability between premises in TbDR or uncertainty due to lack of information in the fraction of bypass. The risk assessment estimates that the median (95% credible intervals) number of repopulated poultry houses before recrudescence are 1.2 × 104 (50 to 2.8 × 106), 1.9 × 105 (780 to 5.7 × 107) and 1.1 × 106 (4.2 × 103 to 2.9 × 108) under C&D scenarios (i), (ii) and (iii), respectively. Thus for HPAIV in caged layers, undertaking secondary C&D without dismantling reduces the risk by 16-fold compared to preliminary C&D alone. Dismantling has an additional, although smaller, impact, reducing the risk by a further 6-fold and thus around 90-fold compared to preliminary C&D alone. On the basis of the 95% credible intervals, the model demonstrates the importance of secondary C&D (with or without dismantling) over preliminary C&D alone. However, the extra protection afforded by dismantling may not be cost beneficial in the context of reduced risk of onward spread.
The primary aim of the Michigan State University Twin Registry (MSUTR) is to examine developmental differences in genetic, environmental, neural, epigenetic, and neurobiological influences on psychopathology and resilience, particularly during childhood and adolescence. The MSUTR has two broad components: a large-scale, population-based registry of child, adolescent, and adult twins and their families (current N ~30,000) and a series of more focused and in-depth studies drawn from the registry (projected N ~7200). Participants in the population-based registry complete a family health and demographic questionnaire via mail. Families can then be recruited for one or more of the intensive, in-person studies from the population-based registry, using any one of several recruitment strategies (e.g., population-based, based on their answers to the registry questionnaire). These latter studies target a variety of biological, genetic, and environmental phenotypes, including multi-informant measures of psychiatric and behavioral phenotypes, functional and structural neuroimaging, comprehensive measures of the twin family environment (e.g., census and neighborhood informant reports of twin neighborhood characteristics, videotaped interactions of child twin families), buccal swab and salivary DNA samples, and/or assays of adolescent and adult steroid hormone levels. This article provides an overview of the MSUTR and describes current and future research directions.
In this article, we present an educational intervention that embeds ethics education within research laboratories. This structure is designed to assist students in addressing ethical challenges in a more informed way, and to improve the overall ethical culture of research environments. The project seeks (a) to identify factors that students and researchers consider relevant to ethical conduct in science, technology, engineering, and math (STEM) and (b) to promote the cultivation of an ethical culture in experimental laboratories by integrating research stakeholders in a bottom-up approach to developing context-specific, ethics-based guidelines. An important assumption behind this approach is that direct involvement in the process of developing laboratory specific ethical guidelines will positively influence researchers’ understanding of ethical research and practice issues, their handling of these issues, and the promotion of an ethical culture in the respective laboratory. The active involvement may increase the sense of ownership and integration of further discussion on these important topics. Based on the project experiences, the project team seeks to develop a module involving the bottom-up building of codes-of-ethics-based guidelines that can be used by a broad range of institutions and that will be distributed widely.
Our primary aim in this paper is to sketch a cognitive evolutionary approach for developing explanations of social change that is anchored in the psychological mechanisms underlying normative cognition and the transmission of social norms. We throw the relevant features of this approach into relief by comparing it with the self-fulfilling social expectations account developed by Bicchieri and colleagues. After describing both accounts, we argue that the two approaches are largely compatible, but that the cognitive evolutionary approach is well suited to encompass much of the social expectations view, whose focus on a narrow range of norms comes at the expense of the breadth the cognitive evolutionary approach can provide.
We endorse Stanford's project, which calls attention to features of human psychology that exhibit a “puzzling combination of objective and subjective elements,” and that are central to cooperation. However, we disagree with his delineation of the explanatory target. What he calls “externalization or objectification” conflates two separate properties, neither of which can serve as the mark of the moral.
The aim of this study was to analyse cow reproductive performance on 37 Irish suckler beef farms and determine how reproductive efficiency influences farm profitability. The main reproductive factors associated with gross output value per livestock unit (GO/LU) were average age at first calving (r=−0.19, P<0.01) and number of months with a calving (r=−0.15, P<0.05). A 1 month increase in average age at first calving was shown to reduce GO/LU by €14 across suckler farms. Average age at first calving was positively correlated with calving interval (r=0.21, P<0.001) and the number of months with a calving (r=0.18, P<0.01). Number of months with a calving was also positively correlated with calf mortality (r=0.21, P<0.01). However, these relationships between reproductive variables had no statistically significant impact on farm financial performance. It is therefore concluded that additional analysis at animal level is required to determine key reproductive indicators contributing to farm profitability.
Chagas disease is caused by infection with the insect-transmitted protozoan Trypanosoma cruzi, and is the most important parasitic infection in Latin America. The current drugs, benznidazole and nifurtimox, are characterized by limited efficacy and toxic side-effects, and treatment failures are frequently observed. The urgent need for new therapeutic approaches is being met by a combined effort from the academic and commercial sectors, together with major input from not-for-profit drug development consortia. With the disappointing outcomes of recent clinical trials against chronic Chagas disease, it has become clear that an incomplete understanding of parasite biology and disease pathogenesis is impacting negatively on the development of more effective drugs. In addition, technical issues, including difficulties in establishing parasitological cure in both human patients and animal models, have greatly complicated the assessment of drug efficacy. Here, we outline the major questions that need to be addressed and discuss technical innovations that can be exploited to accelerate the drug development pipeline.
This paper is based on a parallel session at the BIALL Conference 2016 which was given by Helen Marshall and Kelly Taylor from Pinsent Masons. Pinsent Masons has a ground-breaking team of research analysts providing the firm with in-depth sector and market analysis. This innovative approach has benefits for Pinsent Masons and also for the research team. These include increased visibility within the firm and developing a role as a trusted adviser to the business. The team are drawn from a variety of backgrounds, including experienced law librarians. In this article, Kelly and Helen, who are both from a law librarian background, will explain Pinsents' unique approach to business and sector insight. The article covers how the team adds value to the firm and charts the development of our existing skillsets to meet this new challenge. The article also includes some practical insight into approaching business research and how to overcome common obstacles, notably the challenge in expanding our output from traditional legal research to more business and commercially aware pieces.
This study proposes a sampling method for ground-truthing LiDAR-derived data that will allow researchers to verify or predict the accuracy of results over a large area. Our case study is focused on a 24 km2 area centered on the site of Yaxnohcah in the Yucatan Peninsula. This area is characterized by a variety of dense tropical rainforest and wetland vegetation zones with limited road and trail access. Twenty-one 100 x 100 m blocks were selected for study, which included examples of several different vegetation zones. A pedestrian survey of transects through the blocks was conducted, recording two types of errors. Type 1 errors consist of cultural features that are identified in the field, but are not seen in the digital elevation model (DEM) or digital surface model (DSM). Type 2 errors consist of features that appear to be cultural when viewed on the DEM or DSM, but are caused by different vegetative features. Concurrently, we conducted an extensive vegetation survey of each block, identifying major species present and heights of stories. The results demonstrate that the lidar survey data are extremely reliable and a sample can be used to assess data accuracy, fidelity, and confidence over a larger area.
Background: There are no disease modifying agents for the treatment of Alzheimer’s disease (AD). Pathologically, AD is associated with the misfolding of two peptides: beta-amyloid (plaques) and tau (tangles). Methods: Using large-scale computer simulations, we modelled the misfolding of both beta-amyloid and tau, identifying a common conformational motif (CCM; i.e. an abnormal peptide shape), present in both beta-amyloid and tau, that promotes their misfolding. We screened a library of 11.8 million compounds against this in silico model of protein misfolding, identifying three novel molecular classes of putative therapeutics as anti-protein misfolding agents. We synthesized approximately 400 new chemical entity drug-like molecules in each of these three classes (i.e. 1200 potential drug candidates). These were comprehensively screened in a battery of five in vitro protein oligomerization assays. Selected compounds were next evaluated in the APP/PS1 doubly transgenic mouse model of AD. Results: Two new classes of molecules were identified with the ability to block the oligomerization of both beta-amyloid and tau. These compounds are drug-like with good pharmacokinetic properties and are brain-penetrant. They exhibit excellent efficacy in transgenic mouse models. Conclusion: Computer aided drug design has enabled the discovery of novel drug-like molecules able to inhibit both tau and beta-amyloid misfolding.
Background: Recent research has highlighted the importance of psychological interventions such as cognitive behavioural therapy (CBT) in improving outcomes and promoting recovery for people with experience of psychosis, although a lack of trained therapists means that availability of face-to-face CBT is low. Alternative modes of delivering CBT are being explored, such as telephone and self-help methods, although research to date on whether they can be implemented effectively is limited. Aims: The aims of the present study were to describe and evaluate a new therapy fidelity scale (ROSTA; Recovery Oriented Self-help and Telephone therapy Adherence). This scale was developed to assess fidelity to cognitive behaviour therapy for psychosis (CBTp) focused on improving recovery, with optional subscales for delivery over the telephone and alongside a self-help guide. Method: Experienced CBT therapists rated recorded therapy sessions using the ROSTA scale. The scores were used to assess internal consistency and inter-rater reliability, before being compared to scores from an independent expert rater using an alternative fidelity scale for cognitive therapy in psychosis (the CTS-Psy), to investigate concurrent validity. Results: The ROSTA scale demonstrated excellent internal consistency, inter-rater reliability and validity when evaluated as a whole, although findings were mixed in terms of the individual subscales and items. Conclusions: The ROSTA scale is, on the whole, a reliable and valid tool, which may be useful in training and supervision, a utility that would be further emphasized if the therapeutic intervention it assesses is deemed to be efficacious based on future work.