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This study aims to evaluate the delivery of a virtual community-based mental health and substance use program for Filipino drug users during the COVID-19 pandemic.

It used a randomized control longitudinal design with data collected prior to the program and every two months for 10 months. The programs focused on building recovery skills, life skills and family modules. Program length ranged from a brief intervention of three sessions to 24 sessions depending on whether clients were low risk, moderate risk or those arrested for drug use.

Results revealed significant improvements in recovery skills of participants in the treatment group compared to those in the control group. Mental health illness symptoms decreased for both control and treatment groups; however, no differences were found in recovery capital and cravings.

The lack of significant changes in certain variables, such as recovery capital, requires more data to understand the barriers to enable greater recovery. The study was limited to virtual delivery of rehabilitation services conducted during the COVID-19 pandemic. Future studies may wish to compare modalities of online and onsite delivery to enable a comparison of effectiveness.

Results suggest the feasibility of virtual delivery of mental health and substance use treatment implemented by trained paraprofessionals. However, it also highlights the necessity to build the capacity of service providers and address connectivity challenges.

Stigma and discrimination prevent people who use drugs from seeking treatment. Virtual delivery of mental health and substance use treatment can provide a platform where people can seek help while maintaining some privacy.

The study provides evidence from under-represented populations – persons who use drugs in the Philippines.

Limiting the use of antibiotics in food animals is a cornerstone of contemporary EU policy. Despite that marketing of antibiotics for growth promotion and nutrition has been banned since 2006, the use is still high and varied. This paper aims to investigate the forces behind the different usage patterns in Italy, with one of the EU’s most extensive use of antibiotics in animals, versus Sweden, with the union’s most restricted use, including how these usage patterns are related to EU and national policies.

The industrial network approach/the 4R resources interaction model is adopted to investigate the major forces behind the different antibiotic usage patterns. Furthermore, the study relies on the notion of three main characteristics related to the use of a resource activated in several user settings (Håkansson and Waluszewski, 2008, pp. 20–22). The paper investigates the Swedish and the Italian using settings, with a minimised, respectively, extensive usage of antibiotics. The study is exploratory in nature and based on qualitative data collected through a combination of primary and secondary sources.

The paper underlines the importance of integrating forces for policy to succeed in attempts to reduce the use of a particular resource. It reveals that Sweden’s radically reduced use was based on great awareness, close interactions between animal-based food producers and policy – and that integrating forces were supported by an era of state-protected food production, with promising ability to distribute the cost of change. The Italian characteristics hindering the integration of forces mounting for reduced use were restricted awareness, top-down business and policy interactions – and a great awareness about the difficulties of distributing the cost of change.

The study deals with the analysis of forces affecting the different usage of antibiotics within two EU settings. The investigation, based on the industrial network approach’s notion of connectivity of economic resources, that is, of exchange having a content and substance beyond discrete transactions, reveals how indirect related contextual forces, neglected by policy, have an important influence on the ability to achieve change, in this case of antibiotics usage patterns.

Over some 20 years, the popularity of competitive bodybuilding has increased significantly in India, along with an increase in sponsorship and professionalism in the organisation of events. Multiple competitions are now held at city/town, state, and national levels, organised by a vast range of organisations. The popularity of the sport follows the arrival of muscular bodies in Indian cinema and the attendant rapid growth of the country’s fitness industry. However, what is required for a bodybuilding competition on-stage is not necessarily the same as what actors showcase in movie scenes, specifically orchestrated to underline bodily accomplishments. Nor may it be what clients are after when they enter a gym. This chapter examines how Indian bodybuilders who often make a living as personal trainers navigate different bodily ideals. It foregrounds the notion of ‘muscular capital’ to deepen the understanding of what value a bodybuilder’s body might hold on and off stage and how it is perceived by others. Building on extensive fieldwork in Chennai, Tamil Nadu, this chapter seeks to move beyond the mere economic dimensions of bodybuilding and instead gives prominence to the sociocultural aspects of the body as they reflect an array of different (post colonial) demands and expectations.

This survey explores the application of real options theory to the field of health economics. The integration of options theory offers a valuable framework to address these challenges, providing insights into healthcare investments, policy analysis and patient care pathways.

This research employs the real options theory, a financial concept, to delve into health economics challenges. Through a systematic approach, three distinct models rooted in this theory are crafted and analyzed. Firstly, the study examines the value of investing in emerging health technology, factoring in future advantages, associated costs and unpredictability. The second model is patient-centric, evaluating the choice between immediate treatment switch and waiting for more clarity, while also weighing the associated risks. Lastly, the research assesses pandemic-related government policies, emphasizing the importance of delaying decisions in the face of uncertainties, thereby promoting data-driven policymaking.

Three different real options models are presented in this study to illustrate their applicability and value in aiding decision-makers. (1) The first evaluates investments in new technology, analyzing future benefits, discount rates and benefit volatility to determine investment value. (2) In the second model, a patient has the option of switching treatments now or waiting for more information before optimally switching treatments. However, waiting has its risks, such as disease progression. By modeling the potential benefits and risks of both options, and factoring in the time value, this model aids doctors and patients in making informed decisions based on a quantified assessment of potential outcomes. (3) The third model concerns pandemic policy: governments can end or prolong lockdowns. While awaiting more data on the virus might lead to economic and societal strain, the model emphasizes the economic value of deferring decisions under uncertainty.

This research provides a quantified perspective on various decisions in healthcare, from investments in new technology to treatment choices for patients to government decisions regarding pandemics. By applying real options theory, stakeholders can make more evidence-driven decisions.

Decisions about patient care pathways and pandemic policies have direct societal implications. For instance, choices regarding the prolongation or ending of lockdowns can lead to economic and societal strain.

The originality of this study lies in its application of real options theory, a concept from finance, to the realm of health economics, offering novel insights and analytical tools for decision-makers in the healthcare sector.

The mental health issues faced by young people can significantly hinder a nation’s development. The purpose of this study is to integrate the Self-Determination Theory and the Theory of Planned Behavior to examine the factors influencing the utilization of mental health days among young individuals.

An online survey was conducted to collect data from young people.

The results indicated that more positive attitudes, favorable subjective norms and a stronger sense of perceived behavioral control regarding mental health days are all associated with a higher intention to use them. Young individuals who have used counseling resources are more likely to endorse the use of mental health days. Satisfaction of the three basic psychological needs of autonomy, competence and relatedness has a diminishing effect on both motivation and intention to request mental health days. However, there is a positive relationship between motivation and intention to apply for mental health days. When competence needs are less well satisfied, the motivation and, in turn, the intention to request mental health days are enhanced.

Shifting the leave framework from a disease-centered approach to a psychological leave model focused on mood adjustment can maximize the positive impact of mental health leave.

This study contributes to the theoretical understanding of the relationships between needs and motivation within the framework of self-determination theory. Furthermore, it integrates components from the theory of planned behavior to examine the influence of social pressures and self-efficacy on the intention to use mental health days. Mental health days can be seen as a cry for help from young adults. The utilization of mental health days serves as an effective means of managing one's mental state.