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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.

When the factors affecting health expenditures are examined in the literature, it is seen that one of the most important factors is income. In this context, the purpose of this study is to investigate the relationship between out-of-pocket health expenditures and disposable personal income and revealing the income elasticity of health expenditures.

Therefore, short/long-term coefficients were obtained by analyzing Westerlund (2007) co-integration analysis and pooled mean group (PMG) regression methods for 22 European Union (EU) member states during the period 2003–2017. In addition, a comparison of the long-term coefficients for each country was obtained with augmented mean group (AMG) estimator.

The results of the AMG and PMG tests show that the long-term coefficients between disposable personal income and health expenditures are 0.83 and 0.97, respectively. These results imply that there is a significant relationship between the variables, and that health care should be categorized in the group of normal goods. However, the fact that the long-term coefficient is very close to 1, despite being classified in the category of necessity goods, requires more care to be taken in evaluating whether health services are luxury goods or necessity goods.

The use of second generation econometric tests on both cross-sectional dependence and heterogeneity demonstrates the value of the study. On the other hand, obtaining similar results by investigating the relationship between variables using different appropriate econometric models reveals the importance of the methodology used in this study. It reveals important details in terms of the literature regarding the long-term and short-term results obtained in this study.

This meta-analysis aimed to examine health professionals' job satisfaction and organizational commitment.

This research was conducted using the meta-analysis method, one of the quantitative research methods. A preliminary literature search was conducted to determine keywords over the internet access network. With screening, keywords such as “Organizational commitment,” “Organizational loyalty,” “Job satisfaction,” “job satisfaction,” “Healthcare worker,” “Organizational commitment,” “Organizational faith,” “job satisfaction,” “Job saturation” keywords in Turkish and English were determined. Nine full-text articles published in peer-reviewed journals between 2014–2020 from the electronic databases of Google Scholar, Web of Science, Scopus, Science Direct, EKUAL and Google Academic were included in the meta-analysis. The study's effect size and publication bias included in the meta-analysis were calculated using the CMA 3 (Comprehensive meta-analysis) program.

The total sample number of the studies included in the analysis is 7,218. According to the random effects model, the overall effect size between job satisfaction and organizational commitment was statistically significant, with a value of 0.544 (confidence interval [CI]; 0.445–0.629; p < 0.05). This effect size was found to be moderate, according to Cohen's classification.

As a result of this meta-analysis, it was determined that there is a mutual interaction between job satisfaction and organizational commitment based on the cause–effect relationship. The findings obtained determined that job satisfaction has more power to affect organizational commitment positively.

The growth of mental disorders and their costs represents a public health challenge. This study aims to explore how a social club can help mitigate its impact through arts and sports workshops.

Using the social return on investment (SROI) methodology, the impact of the social club is evaluated by identifying stakeholders and quantifying their contributions. In addition, the relationship between patients’ attendance and the reduction of relapses and medication consumption is explored.

The SROI showed a positive return on investment, €12.12 per euro invested. This ratio indicates that the social club generates social value well above its initial costs. On the other hand, two stakeholders were identified as higher impact generators, and it was confirmed that sports activities generate more social and economic impact than art activities – however, the positive effects of art activities last longer over time. The study revealed a positive relationship between social club attendance and relapse reduction. Almost 90% of the participating users reported no relapses or emergency hospitalizations during the past year of attendance. In addition, a substantial decrease in medication dosage was observed. These results suggest that social clubs help stabilize mental health and reduce the burden on health-care systems.

The case study highlights the vital role of social clubs in supporting people facing mental health issues. Policymakers and health-care providers can use this knowledge to invest in more effective and sustainable mental health support activities.

This paper proposes an analysis of occupational accidents in Italy at the regional level. For this purpose, our panel is composed of 20 regions over the 2010–2019 time span.

We apply different econometric estimation techniques (pooled OLS model, panel fixed and random effects models and semiparametric fixed model) using INAIL and ISTAT data. Our models investigate workplace accidents at the regional level by accounting for socioeconomic, labour market and productive system variables and controlling for possible underreporting bias.

Overall results reveal the existence of a relevant under-notification phenomenon of accidents at work with respect to moderate accidents, that is higher especially for the southern regions of Italy. However, when considering as outcome variable an alternative set of more severe workplace accidents our model specification remains highly jointly statistically significant. Among our main findings, the analysis shows that worker skills (blue collar) strongly affect the regional pattern of workplace accidents, i.e. an increase of 1% of low paid employees generates about an increase of 1.8 severe workplace accidents per thousand workers. Moreover, we provide evidence that the size of the firm is inversely related to the occupational accident rates. Finally, our results highlight a nonlinear relationship between GDP and occupational accidents for the Italian regional context, confirmed by the high statistical significance of the quadratic term in all the estimated linear models and by the semi-parametric analysis.

A first element of originality of our study consists of investigating the macro determinants of occupation accidents at a regional Italian level. Second, the empirical literature (Boone and Van Ours, 2006) highlights the possible bias of underreporting behaviours on nonfatal accidents in contrast to fatal accidents that are always reported. From this perspective, we have identified a few analyses (namely, Boone et al., 2011) considering different accident sets characterised by different severity degrees. Thus, this paper contributes to the literature considering five alternative subsets of accidents stratified by degree of severity (i.e. moderate, severe, moderate plus severe, severe plus fatal and total accident rates) to test for possible underreporting bias affecting our econometric model.

COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the impact of the reduction in economic activity on the economy-wide variables so that appropriate steps can be taken. This study aims to evaluate the sensitivity of various sectors of the Indian economy to this dual shock.

The eight-sector open economy general equilibrium Global Trade Analysis Project (GTAP) model has been simulated to evaluate the sector-specific effects of a fall in economic activity due to COVID-19. This model uses an economy-wide accounting framework to quantify the impact of a shock on the given equilibrium economy and report the post-simulation new equilibrium values.

The empirical results state that welfare for the Indian economy falls to the tune of 7.70% due to output shock. Because of demand–supply linkages, it also impacts the inter- and intra-industry flows, demand for factors of production and imports. There is a momentous fall in the demand for factor endowments from all sectors. Among those, the trade-hotel-transport and manufacturing sectors are in the first two positions from the top. The study recommends an immediate revival of the manufacturing and trade-hotel-transport sectors to get the Indian economy back on track.

The present study has modified the existing GTAP model accounting framework through unemployment and output closures to account for the impact of change in sectoral output due to COVID-19 on the level of employment and other macroeconomic variables.

Brazil has the second-biggest transplant system in the world. The organ donation rates, however, are still low. To persuade the population towards the theme, media interventions are broadcast regularly. This article analyses how media intervention in the form of advertising campaigns, telenovelas, and news can raise the rates of organ donations in Brazil.

We obtained data from the Brazilian Association for Organ Transplantation (ABTO), the Brazilian Health Ministry (HM), the Brazilian Institute for Geography and Statistics (IBGE), Globoplay, and other media sources to build a panel with quarterly data from 2009 to 2019, by state. Then we used fixed-effect panel regression models with healthcare supply and demographics as control variables to ascertain the effect of the media variable on organ donations during this period.

The results indicate that media interventions can increase the number of effective organ donors by up to 1%. The coefficient of media interventions is significant and positive for telenovelas (95% C.I 0.156–0.164), and for news in the following quarter (95% C.I 0.108–0.232), not significant individually for contemporaneous news or government advertising campaigns.

Telenovelas and news presentations are effective tools of awareness for organ donation. Empirically, media interventions in the form of telenovelas or news impact organ donation as much as improvements in the healthcare system and can diminish the mortality on the waiting list by 17%.

This is the first time that media coverage and organ donation campaigns are evaluated together using panel data analysis in Brazil.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0221

A systematic investigation of postgraduate leadership programs for health and/or human services offered by Australian higher education institutions was undertaken.

Quantitative analysis identified the core characteristics of the programs. A thematic analysis of the course learning outcomes was conducted and six major themes of disciplinary leadership and management knowledge; research and analytical skills; professional practice; communication and collaboration; creativity and innovation; and system knowledge are shared in this study.

The authors conclude that Australian universities have taken an evidence-based approach to leadership education.

More work might need to be undertaken to ensure leadership theories are incorporated into learning outcomes.

The study draws on emerging research on declining employee mental health, particularly employees with low educational attainment, in human resource management (HRM) and health and tests whether labor market institutions are empirically associated with better mental health among workers from different educational backgrounds.

This study draws on a large national sample of part- and full-time workers and models a conditional relationship between labor market institutions and employee self-rated mental health using ordinary least squares (OLS) models with fixed effects.

The findings indicate membership in a labor market institution such as a union is positively associated with improved employee mental health, but the relationship is moderated by educational attainment. Union membership is associated with better mental health among employees with low educational attainment and appears to bring these workers up to a level of mental health that is comparable to more highly educated workers, thereby reducing mental health inequality. However, union membership has no effect on the mental health of more highly educated employees.

Despite the recognition that declining worker mental health presents challenges for workers, organizations and society, systematic empirical research on institutional mechanisms that may affect mental health is limited. This study draws on data of part- and full-time workers to model the relationship with a sample large enough to specify conditional models to account for heterogeneous relationships conditional on workers' educational attainment. The findings have important implications for our understanding of employee mental health, employment relations and institutional mechanisms to help workers and improve organizational performance.

This study aims to investigate the level of empowerment of rural women organic farmers through the Total Observed Score of a Statement-Revised scale (TOSS-R).

In doing so, exploratory factor analysis is used to investigate the factorial structure of the 8-dimensional TOSS scale. Further, first and second-order confirmatory factor analysis is used to confirm the construct reliability and model adequacy of TOSS-R. The data has been collected from 314 women organic farmers from four selected districts (Nayagarh, Khurda, Boudh, and Ganjam) of Odisha based on 2022 records from the Directorate of Horticulture.

The results showed that the TOSS-R is showing better model adequacy compared (CMIN/df = 2.031, RMSEA = 0.073, SRMR = 0.064) to the earlier TOSS scale (CMIN/df = 2.697, RMSEA = 0.840, SRMR = 0.096). Further in the analysis of the overall empowerment, the TOSS-R scale determined that 49.60% of women are highly empowered, 44.58% are moderately, and 5.73% are less empowered.

The study emphasizes that the policymakers should establish a local capacity to promote gender equity in land titling such that women irrigators will be officially labelled as “farmers”, thereby bringing them under government scheme that is exclusively granted to women farmers.

The study’s novelty lies in a more comprehensive model of determining the empowerment of women organic farmers which has the capability to determine the constraints of the women failing to be empowered in the farming sector.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0693