Co-designing a low-intensity psychological therapy for fear of recurrence in psychosis using translational learning from fear of recurrence in oncology: protocol for intervention development for future testing in a feasibility study.

Introduction: Fear of recurrence is a transdiagnostic problem experienced by people with psychosis, which is associated with anxiety, depression and risk of future relapse events. Despite this, there is a lack of available psychological interventions for fear of recurrence, and psychological therapies for schizophrenia are often poorly implemented in general. However, low-intensity psychological therapy is available for people who experience fear of recurrence in the context of cancer, which means there is an opportunity to learn what has worked in a well-implemented psychological therapy to see if any learning can be adapted for schizophrenia care.

Perceived climate risk and stock prices: An empirical analysis of pricing effects.

Increasing awareness of climate change and its potential consequences on financial markets has led to interest in the impact of climate risk on stock returns and portfolio composition, but few studies have focused on perceived climate risk pricing. This study is the first to introduce perceived climate risk as an additional factor in asset pricing models. The perceived climate risk is measured based on the climate change sentiment of the Twitter dataset with 16 million unique tweets in the years 2010-2019.

(Two) Wheels on the Bus: Road User Perceptions of a Bike Bus and How This Links to Addressing Global Health Challenges.

Background: Excessive car use hampers progress toward tackling global health challenges, including climate and sustainability issues, and is linked to lower physical activity. Local communities have been developing solutions through bike buses. This paper, one of the first on bike buses, explores how a bike bus is perceived by other road and place users.

Forecasting medical waste in Istanbul using a novel nonlinear grey Bernoulli model optimized by firefly algorithm.

Waste management has gained global importance, aligning with the escalating impact of the COVID-19 pandemic and the associated concerns regarding medical waste, which poses threats to public health and environmental sustainability. In Istanbul, medical waste is considered a significant concern due to the rising volume of this waste, along with challenges in collection, incineration and storage. At this juncture, precise estimation of the waste volume is crucial for resource planning and allocation.

Individual Placement and Support (IPS) beyond severe mental health: An overview review and meta-analysis of evidence around vocational outcomes.

Objective: To provide an overview review of international evidence of vocational outcomes in Individual Placement and Support (IPS) interventions for populations other than severe mental health.

Methods: An overview of reviews published in English since 2000 reporting vocational outcomes (job entry, work sustainment, earnings, work hours, time to job entry) against counterfactuals of IPS interventions for population groups other than severe mental health. The overview review maximises data from individual studies and includes additional recent primary studies.

The Full Value of Vaccine Assessments Concept-Current Opportunities and Recommendations.

For vaccine development and adoption decisions, the 'Full Value of Vaccine Assessment' (FVVA) framework has been proposed by the WHO to expand the range of evidence available to support the prioritization of candidate vaccines for investment and eventual uptake by low- and middle-income countries. Recent applications of the FVVA framework have already shown benefits. Building on the success of these applications, we see important new opportunities to maximize the future utility of FVVAs to country and global stakeholders and provide a proof-of-concept for analyses in other areas of disease control and prevention.

Paid family leave and the fight against hunger: Evidence from New York.

We examine the effects of New York's paid family leave (PFL) policy, introduced in January 2018, on food security. While researchers evaluating PFL policies in the past have mostly focused on employment and health outcomes, we believe that an improved understanding of potential impacts on food security is pivotal as it is directly related to the health and well-being of mothers and new-borns during the postnatal months. Our analysis uses two primary data sets-Current Population Survey Food Security Supplement (CPS-FSS) and Panel Study of Income Dynamics.

AI in medical diagnosis: AI prediction & human judgment.

AI has long been regarded as a panacea for decision-making and many other aspects of knowledge work; as something that will help humans get rid of their shortcomings. We believe that AI can be a useful asset to support decision-makers, but not that it should replace decision-makers. Decision-making uses algorithmic analysis, but it is not solely algorithmic analysis; it also involves other factors, many of which are very human, such as creativity, intuition, emotions, feelings, and value judgments.

Why cost-effectiveness thresholds for global health donors should differ from thresholds for Ministries of Health (and why it matters).

Healthcare cost-effectiveness analysis is increasingly used to inform priority-setting in low- and middle-income countries and by global health donors. As part of such analyses, cost-effectiveness thresholds are commonly used to determine what is, or is not, cost-effective. Recent years have seen a shift in best practice from a rule-of-thumb 1x or 3x per capita GDP threshold towards using thresholds that, in theory, reflect the opportunity cost of new investments within a given country.

Can knowledgeable experts assess costs and outcomes as if they were ignorant? An experiment within precision medicine evaluation.

Objectives: The purpose of this study is to evaluate the validity of the standard approach in expert judgment for evaluating precision medicines, in which experts are required to estimate outcomes as if they did not have access to diagnostic information, whereas in fact, they do.

Methods: Fourteen clinicians participated in an expert judgment task to estimate the cost and medical outcomes of the use of exome sequencing in pediatric patients with intractable epilepsy in Thailand. Experts were randomly assigned to either an "unblind" or "blind" group; the former was provided with the exome sequencing results for each patient case prior to the judgment task, whereas the latter was not provided with the exome sequencing results.

Inequalities and mental health during the Coronavirus pandemic in the UK: a mixed-methods exploration.

Background: The World Health Organisation declared the novel Coronavirus disease (COVID-19) a global pandemic on 11th March 2020. Since then, the world has been firmly in its grip. At the time of writing, there were more than 767,972,961 million confirmed cases and over 6,950,655 million deaths.

Equity assessment of maternal and child healthcare benefits utilization and distribution in public healthcare facilities in Bangladesh: a benefit incidence analysis.

Background: The distribution of healthcare services should be based on the needs of the population, regardless of their ability to pay. Achieving universal health coverage implies first ensuring that people of all income levels have access to quality healthcare, and then allocating resources reasonably considering individual need. Hence, this study aims to understand how public benefits in Bangladesh are currently distributed among wealth quintiles considering different layers of healthcare facilities and to assess the distributional impact of public benefits.

Industry 5 and the Human in Human-Centric Manufacturing.

Industry 4 (I4) was a revolutionary new stage for technological progress in manufacturing which promised a new level of interconnectedness between a diverse range of technologies. Sensors, as a point technology, play an important role in these developments, facilitating human-machine interaction and enabling data collection for system-level technologies. Concerns for human labour working in I4 environments (e.

Perceptions of and Practical Experience with the National Surveillance Centre in Managing Medicines Availability Amongst Users within Public Healthcare Facilities in South Africa: Findings and Implications.

The introduction of the National Surveillance Centre (NSC) has improved the efficiency and effectiveness of managing medicines availability within the public healthcare system in South Africa. However, at present, there is limited data regarding the perceptions among users of the NSC and challenges that need addressing. A descriptive quantitative study was performed among all registered active NSC users between August and November 2022.

Economic freedom, inclusive growth, and financial development: A heterogeneous panel analysis of developing countries.

The effective and efficient management of financial systems and resources fosters a socioeconomic climate conducive to technological and innovative advancement, thereby fostering long-term economic growth. The study used panel data from 72 countries classified as less financially developed between 2009 and 2017 to examine the role of economic freedom and inclusive growth in financial development. For the long-run estimations, we utilised the linear dynamic panel GMM-IV estimator, panel corrected standard errors (PCSE) linear regression method, and contemporaneous correlation estimator, a generalised least squares method.

Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing.

This paper provides a novel methodology for human-driven decision support for capacity allocation in labour-intensive manufacturing systems. In such systems (where output depends solely on human labour) it is essential that any changes aimed at improving productivity are informed by the workers' actual working practices, rather than attempting to implement strategies based on an idealised representation of a theoretical production process. This paper reports how worker position data (obtained by localisation sensors) can be used as input to process mining algorithms to generate a data-driven process model to understand how manufacturing tasks are actually performed and how this model can then be used to build a discrete event simulation to investigate the performance of capacity allocation adjustments made to the original working practice observed in the data.

The Full Value of Vaccine Assessments (FVVA): a framework for assessing and communicating the value of vaccines for investment and introduction decision-making.

Background: Several economic obstacles can deter the development and use of vaccines. This can lead to limited product options for some diseases, delays in new product development, and inequitable access to vaccines. Although seemingly distinct, these obstacles are actually interrelated and therefore need to be addressed through a single over-arching strategy encompassing all stakeholders.

Homopositivity Across Europe: Predictors, Pathways, and Moderators.

Although homopositivity, the attitudinal acceptance of homosexuality, has generally increased across Western societies, there remains considerable homonegativity across certain regions of the world as well as certain demographic and socioeconomic groups. Although previous cross-national research has successfully identified the key factors affecting homopositive attitudes, the literature neglects both potentially key mediation pathways and moderating interactions between those factors that may unlock more nuanced understanding of these variations in homopositive attitudes across individuals and places. In response, the present study innovatively applied a multivariate structural equation modelling approach to the latest Wave 9 (2018 data) of the large-scale cross-national European Social Survey data in order to shed new light on these currently neglected predictors, pathways, and moderating influences on homopositive attitudes.

The Macroeconomic Impact of Increasing Investments in Malaria Control in 26 High Malaria Burden Countries: An Application of the Updated EPIC Model.

Background: Malaria remains a major public health problem. While globally malaria mortality affects predominantly young children, clinical malaria affects all age groups throughout life. Malaria not only threatens health but also child education and adult productivity while burdening government budgets and economic development.

Ongoing Efforts to Improve Antimicrobial Utilization in Hospitals among African Countries and Implications for the Future.

There are serious concerns with rising antimicrobial resistance (AMR) across countries increasing morbidity, mortality and costs. These concerns have resulted in a plethora of initiatives globally and nationally including national action plans (NAPs) to reduce AMR. Africa is no exception, especially with the highest rates of AMR globally.

Early senior decision-making in acute medicine: a critical review of health policy and implications for practice.

UK urgent care health policies advocate senior clinical decision-making at the point of referral into the system. The costs of employing senior clinicians in this role are substantial with little evidence of the value they bring over other strategies, particularly for patient outcomes. We sought to explore current remote and ambulatory emergency care decision-making in acute medical care in a large central healthcare system - NHS Scotland.

Building the European Social Innovation Database with Natural Language Processing and Machine Learning.

Social innovation is widely defined as technological and non-technological new products, services or models that simultaneously meet social needs and create new social relationships or collaborations. Despite a significant interest in the concept, the lack of reliable and comprehensive data is a barrier for social science research. We created the European Social Innovation Database (ESID) to address this gap.

The mental health experiences of ethnic minorities in the UK during the Coronavirus pandemic: A qualitative exploration.

Background: Worldwide, the Coronavirus pandemic has had a major impact on people's health, lives, and livelihoods. However, this impact has not been felt equally across various population groups. People from ethnic minority backgrounds in the UK have been more adversely affected by the pandemic, especially in terms of their physical health.

Implementation barriers and remedial strategies for community-based health insurance in Bangladesh: insights from national stakeholders.

Background: Community-based health insurance (CBHI) is a part of the health system in Bangladesh, and overcoming the obstacles of CBHI is a significant policy concern that has received little attention. The purpose of this study is to analyze the implementation barriers of voluntary CBHI schemes in Bangladesh and the strategies to overcome these barriers from the perspective of national stakeholders.

Methods: This study is exploratory qualitative research, specifically case study design, using key informant interviews to investigate the barriers of CBHI that are faced during the implementation.