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The study aims to investigate the impact of anxiety and depression (dimensions of mental health) on mineworkers' safety behaviors (safety compliance and safety participation) while examining the moderating role of safety climate on these relationships.

A quantitative research approach with an explanatory cross-sectional survey research design was adopted. A total of 274 purposively selected mineworkers participated in the study. Responses were obtained from participants through a structured questionnaire which was analyzed using the partial least square structural equation modeling.

Anxiety had a significant negative effect on safety compliance but not participation. However, depression was found to have a significant negative effect on both mineworkers' safety compliance and participation behaviors. The findings of the study also show that safety climate moderates the relationships between the dimensions of mental health and mineworkers' safety behavior except for the relationship between anxiety and mineworkers' safety participation behavior.

The study offers an account of the negative effect of mental health on mineworkers' safety behavior whiles highlighting that safety climate is an important construct to mitigate the negative effects of mental illness on the safety behaviors of mineworkers.

This paper aims to analyze the socioeconomic impacts of infectious diseases based on uncertain behaviors of social and effective subsystems in the countries. The economic impacts of infectious diseases in comparison with predicted gross domestic product (GDP) in future years could be beneficial for this aim along with predicted social impacts of infectious diseases in countries.

The proposed uncertain SEIAR (susceptible, exposed, infectious, asymptomatic and removed) model evaluates the impacts of variables on different trends using scenario base analysis. This model considers different subsystems including healthcare systems, transportation, contacts and capacities of food and pharmaceutical networks for sensitivity analysis. Besides, an adaptive neuro-fuzzy inference system (ANFIS) is designed to predict the GDP of countries and determine the economic impacts of infectious diseases. These proposed models can predict the future socioeconomic trends of infectious diseases in each country based on the available information to guide the decisions of government planners and policymakers.

The proposed uncertain SEIAR model predicts social impacts according to uncertain parameters and different coefficients appropriate to the scenarios. It analyzes the sensitivity and the effects of various parameters. A case study is designed in this paper about COVID-19 in a country. Its results show that the effect of transportation on COVID-19 is most sensitive and the contacts have a significant effect on infection. Besides, the future annual costs of COVID-19 are evaluated in different situations. Private transportation, contact behaviors and public transportation have significant impacts on infection, especially in the determined case study, due to its circumstance. Therefore, it is necessary to consider changes in society using flexible behaviors and laws based on the latest status in facing the COVID-19 epidemic.

The proposed methods can be applied to conduct infectious diseases impacts analysis.

In this paper, a proposed uncertain SEIAR system dynamics model, related sensitivity analysis and ANFIS model are utilized to support different programs regarding policymaking and economic issues to face infectious diseases. The results could support the analysis of sensitivities, policies and economic activities.

• A new system dynamics model is proposed in this paper based on an uncertain SEIAR model (Susceptible, Exposed, Infectious, Asymptomatic, and Removed) to model population behaviors;

• Different subsystems including healthcare systems, transportation, contacts, and capacities of food and pharmaceutical networks are defined in the proposed system dynamics model to find related sensitivities;

• Different scenarios are analyzed using the proposed system dynamics model to predict the effects of policies and related costs. The results guide lawmakers and governments' actions for future years;

• An adaptive neuro-fuzzy inference system (ANFIS) is designed to estimate the gross domestic product (GDP) in future years and analyze effects of COVID-19 based on them;

• A real case study is considered to evaluate the performances of the proposed models.

A new system dynamics model is proposed in this paper based on an uncertain SEIAR model (Susceptible, Exposed, Infectious, Asymptomatic, and Removed) to model population behaviors;

Different subsystems including healthcare systems, transportation, contacts, and capacities of food and pharmaceutical networks are defined in the proposed system dynamics model to find related sensitivities;

Different scenarios are analyzed using the proposed system dynamics model to predict the effects of policies and related costs. The results guide lawmakers and governments' actions for future years;

An adaptive neuro-fuzzy inference system (ANFIS) is designed to estimate the gross domestic product (GDP) in future years and analyze effects of COVID-19 based on them;

A real case study is considered to evaluate the performances of the proposed models.

The main purpose of this paper is to examine the role of population aging in determining the health care expenditure (HCE) in India over the period 1981 to 2018.

While establishing the linkage between population aging and HCE, the study has used economic growth, urbanization and CO2 emissions as control variables and used the autoregressive distributed lag (ARDL) approach to cointegration and VECM based Granger causality approach to estimate both the long-run and short-run relationships among the variables.

The results of the ARDL bounds test showed that there is a stable and long-run relationship among the variables. The long-run and short-run coefficients reveal that population aging and income per capita exert a statistically significant and positive effect on per capita HCE in India. The VECM causality evidence shows that there is a presence of short-run causality from economic growth and population aging to per capita HCE, urbanization to environmental degradation and further from aging to urbanization. However, the long-run causality evidence confirms unidirectional causality from population aging to the per capita HCE.

The research findings could be improved by considering the changes in mortality rate over time because of other environmental factors such as air pollution, among others as control variables. Various other variables affecting the health of an aged person could be considered for better research outcome which is not included in the present study because of the paucity of data. However, the present research findings would certainly serve effective policy instrument aiming at maximizing health gains that are highly associated with the elderly population and economic growth towards achieving sustainable development in India.

The uniqueness of the present study lies in its estimation where the relationship between population aging and HCE is looked at while considering the impact of other environmental factors separately. The causal relationship is shown among the variables using updated econometrics time-series techniques. The study tried to resolve the ambiguity associated with the relationship between aging and HCE at a macro level.

This study aims to analyse in the health access of Indonesian illegal migrant workers in Malaysia, during which time they were not covered by Indonesia’s national social health insurance.

This study adopted a sociolegal approach, the research approach is conducted to understand the effect of a law, policy and regulation on access to health-care access among Indonesian migrant workers working illegally in Malaysia. This research involved 110 respondents who work illegally in Malaysia. The research explored the perceptions of respondents concerning to health access services of illegal migrant workers.

The study demonstrated the weakness of provisions intended to guarantee the health access to health care of migrant workers from Indonesia illegally working in Malaysia. A decline in health status was observed, but it was not significant. Bilateral cooperation between Indonesia and Malaysia is necessary to provide a framework for Indonesia providing health care to its citizens working in Malaysia, regardless of their legal status.

This paper concerns on the Indonesia illegal migrant workers experiencing illness and the access to the health service in Malaysia, and also the implementation of international regulation to protect Indonesian illegal migrant workers in Malaysia under ASEAN Consensus on the Protection and Promotion of the Rights of Migrant Workers.

Contrary to want-based services, customer participation has got lesser attention in high-credence services like health care. Customer participation for patients with chronic illnesses could be life-threatening and goes beyond the service organization’s physical environment. Realizing the importance of transformative service research in health-care services, this study aims to propose and validate the conceptualization of customer participation for patients with chronic illnesses.

The study uses sequential exploratory research design with mixed method research. The first phase is a qualitative exploration of the nature and meaning of customer participation by synthesizing theory and insights from semi-structured interviews (N = 75) with doctors, patients and paramedical staff. Next, survey data (N = 690) of patients with chronic illnesses is used to validate the proposed conceptualization. Finally, nomological validity was also tested on an additional survey data set (N = 362) using SEM and FsQCA.

The findings reveal that health-care customer participation is a three-dimensional behavioral construct in which a customer can participate by sharing information, involving in decision-making and ensuring compliance. The study also demonstrates that customer participation is a critical driver of satisfaction with life and perceived control on illness.

The research provides policy guidelines for owners and operators of health-care organizations in developing frameworks for collecting participation data, which can be used in strategies for seeking customer participation.

The research conceptualizes and validates “customer participation” as a multidimensional higher-order construct for patients with chronic illnesses, rarely focused in services marketing and management research on health care.

Research related to workplace accommodation requests for employees with mental illness is scarce, though evidence suggests that these individuals often fail to request accommodations even when needed. The authors' research study aimed to address these shortcomings by (1) assessing employees' knowledge of Americans with Disabilities Act (ADA) laws and how this knowledge influences employees' perceived need for and requests of accommodations; (2) examining the relationship between employees' perceived need for accommodations and employees' workplace outcomes and (3) examining the relationship between perceived need for accommodations and employees' actual accommodation requests, as well as how stigma influences this relationship.

The authors used two survey studies to investigate their research questions. Study 1 participants were recruited through Amazon's MTurk, and Study 2 participants were recruited through support groups for individuals diagnosed with mood disorders (i.e. depression and bipolar disorder).

The authors found significant gaps in both subjective and objective ADA-related knowledge among participants in their sample. The authors' Study 1 results also revealed an interaction between the perceived need for accommodations and accommodation requests in predicting job satisfaction and turnover intentions. When employees needed accommodations but did not request them, it resulted in worsened workplace outcomes. In Study 2, the authors aimed to identify barriers to requesting accommodations. The authors found that the relationship between perceived need for accommodations and actual accommodation requests was moderated by both public and self-stigma, thereby showing that stigma can impede individuals from requesting needed accommodations at work.

The authors' study sheds light on a population that has been relatively understudied in the workplace accommodations literature, namely those with mental illness. The authors first identify the perceived need for accommodations as an important factor in making accommodations requests at work, as prior work has failed to differentiate how the need for accommodations can vary across individuals. Next, the authors show how workplace outcomes (i.e. job satisfaction and turnover intentions) are negatively affected when employees need accommodations but do not request them. Finally, the authors demonstrate how both public stigma and self-stigma can reduce the likelihood that individuals request accommodations at work, even when needed.

The study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on self-management efforts. These decisions not only impact health outcomes but also shape the demand for care, subsequently influencing care costs. Despite the significance of this interplay, current payment schemes often overlook these dynamics. The research focuses on investigating the implications of a novel behavior-based payment scheme, designed to align incentives and establish a direct connection between patients' decisions and care costs. The primary objective is to comprehensively understand whether and how this innovative payment scheme structure influences key stakeholders, including patients, care providers, insurers and overall social welfare.

In this paper, we propose a game-theoretical model to incorporate the performance of self-management with the demand for healthcare service, compare the patient's effort decision for self-management and provider's price decision for healthcare service under a behavior-based scheme with that under two implemented widely payment schemes, that is, co-payment scheme and co-insurance scheme.

Our findings confirm that the behavior-based scheme incentives patient self-management more than current schemes while reducing their possibility of seeking healthcare service, which indirectly induces the provider to lower the price of the service. The stakeholders' utility under various payment schemes is sensitive to the cost of treatment and the perceived health utility of patients. Especially, patient health awareness is not always benefited provider profit, as it motivates patient self-management while diminishing the demand for care.

We provide a novel framework for characterizing behavior-based payment schemes. Our results confirm the need for modification of the current payment scheme to incentivize patient self-management.

Robotics and automation are successful in construction, health and safety, but costs and expertise hinder their use in developing nations. This study examined mobile apps as a more accessible and affordable alternative.

This descriptive study explored the use of mobile apps in construction, health and safety management. It used a literature review to identify their availability, accessibility, and capabilities. The study consisted of four five stages: searching for relevant apps, selecting them based on versatility, examining their specific functions, removing untested apps and discussing their functions based on empirical studies.

A comprehensive literature review identified 35 mobile apps that are relevant to health and safety management during construction. After rigorous analysis, eight apps were selected for further study based on their relevance, user friendliness and compliance with safety standards. These apps collectively serve 28 distinct functions, including first-aid training and administration, safety compliance and danger awareness, safety education and training, hazard detection and warnings.

This study suggests that mobile apps can provide a cost-effective and readily accessible alternative to robotics and automation in health and safety management in construction. Further research is needed to accurately assess the efficacy of these apps in real-world conditions.

This study explored the use of apps in health and safety management, highlighting their diverse capabilities and providing a framework for project managers, contractors and safety officers to select suitable apps.

Poor mental health in men and women is attributable to disparities in physical traits, social roles, power and health-seeking behaviours. This study aims to examine the gender differences in mental health among Pakistan and German university students and focuses on their right to seek mental health care.

Data on depression, anxiety and stress symptoms, as well as positive mental health (PMH), resilience, social support and life satisfaction, were gathered from Pakistani and German students.

In contrast to the Pakistani group, where no such gender differences were seen, women in Germany reported higher degrees of stress, anxiety and depression, as well as a lower level of overall good mental health. In comparison to German men and women, Pakistani women scored equally high on resilience. While gender had no bearing on life happiness in either Pakistan or Germany, women in both countries perceived more social support than men did.

The study’s strengths include its large sample size and battery of mental health measures. The results of partial weak measurement Invariance (MI) on the stress subscale underlined the importance of using MI in cross-cultural studies. The validity of a direct comparisons on sum score between different language versions or country samples shall be cautious. Still, there are limitations. Firstly, the authors did not differentiate gender and biological sex, and there was no group of non-binary gender. Pakistani (N = 1,840) and German (N = 7,890) students were in unequal numbers. Again, only university students were sampled, so the results cannot be generalised to older (probably less educated) populations. Self-reported data that mainly obtained via online survey were the third limitation. This design is cost-effective and easy to administer for cross-cultural survey research. However, social desirability and memory bias are common in self-report inventories. Fourthly, although English is an official language in Pakistan and the medium of instruction in education, the authors recommend future study to use questionnaires that have been translated and validated into Urdu (Pakistan’s national language) and investigate gender differences in a general population. Fifthly, this is a cross-sectional survey; the authors were not able to explore the causality or risk factors that contribute to the poor mental well-being in Pakistan students in general or the relatively worse mental health in German women. Future studies may investigate the mechanism behind the phenomena observed in this study with longitudinal or experimental design. Last but not least, Germany and Pakistan differ in so many different aspects from culture, religions and history to social structure and economic status, which make it hard to claim whether the observed differences were due to national differences, cultural differences, economic differences, gender inequality differences or other effects. It would be helpful for future studies to include more country samples with clear definitions of different “culture” aspects for a better understanding of gender differences in other countries and in different mental well-being constructs.

The current study is the first attempt to compare the gender difference patterns in positive and negative mental health between European and South Asian counties and focuses on gender-specific approaches. Although Pakistani university students reported in general worse mental well-being, the differences between the two genders in mental health (e.g. depression, anxiety, general PMH) were not as pronounced as in the German student sample. Gender comparisons in these mental health constructs would help to improve protective factors against mental illness and to develop appropriate management programmes based on cultural differences. The results suggest that the gender differences found in western countries cannot always be directly translated into the South Asian cultural framework. Our results also highlight the importance of improving the general situation of Pakistan (students) instead of focusing on one gender. At the same time, in Germany, prevention and intervention plans are more warranted for women. It could be that once the general situation in Pakistan is improved, the gender-related differences in mental health will be clearly observed.

These findings imply the significance of cultural context when inferring gender variations in mental health. Moreover, it supports the advancement of comprehensive policies to reduce gender-related mental health inequalities and focuses on the equal rights of men and women to get mental health care.

Evidence suggests supported living can improve functioning and reduce need. However, its lack of a clear definition has presented significant challenges to establishing a definitive evaluation of its efficacy. This study aims to evaluate the efficacy of a defined model of supported living using in terms of reductions made to aspects of clinical and social recovery.

A naturalistic, non-controlled assessment was conducting using using the Camberwell Assessment of Need Clinical Scale with a sample of adults with severe and enduring mental illness residing with a UK-based mental health company at 1 of 12 UK locations.

Analysis regarding preliminary outcomes relating to health and social need is presented with comparison between admission and six-months post-admission (N = 90). Additional analysis relating to outcomes at 12 months is also provided (N = 39). Significant outcomes are noted at both timepoints in terms of reducing unmet need and levels of formal and informal help given/required during tenancy.

The findings support that, even in the absence of clinical recovery, opportunities exist to make meaningful and valuable improvements to unmet need and functional independence, with implications for clinical practice in the context of supported living.

The findings provide encouraging early indications of the benefits of the model in making meaningful reductions to functional and psychological needs in individuals with severe and enduring mental illness.