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This paper aims to outline the extent and cost of work‐related mental ill health and the challenges it causes in the workplace. It focuses on what employers can do to facilitate an early return to work for those absent from work. It argues for a proactive approach to the management of mental ill health in the workplace and highlights the important role of the line manager. Good practice from Europe is reported.

This paper reviews evidence from the HSE, EU_OSHA and IOSH.

Rather than only dealing reactively with cases of mental ill health in the workplace, it is more effective for an employer to adopt a proactive approach, recognising that employees are a valuable asset, assessing psychosocial risks and promoting health and wellbeing. This involves not only protecting their employees from work‐related health and safety risks, but also helping employees with minor conditions to stay at work, for example, by negotiating flexible hours. Employees also need opportunities to look after their own health and wellbeing at work. Finally, it is important to create a culture where working with a mental health condition is accepted by other employees as normal.

The paper highlights the importance of a proactive management approach to managing mental ill health.

This paper describes a partnership between the NHS Executive and the Housing Corporation in London to develop a joint work programme with the objectives of promoting a better understanding of the interface between housing and health and establishing healthy housing strategies through partnership working. Progress has been made to date in mapping organisational roles regionally, auditing current practice locally and holding seminars for housing and health professionals. Two partnership‐based projects have also been commissioned.

This paper reports on a study of companies using homeworkers, carried out to gather information regarding the employment status of homeworkers and the health and safety provision afforded to homeworkers. It considers traditional industrial homeworking and home teleworking. For those having employee status, health and safety provision was not necessarily commensurate with legal requirements. In the case of self‐employed status, the health and safety provision was deemed adequate if the employment status was one of genuine self‐employment. However, as the analysis of the data suggests if the status was one of employment, then the health and safety provision is not adequate.

Identifying factors that impact workers’ health and performance is extremely important for companies and, in particular, for companies in the construction sector. Despite the evidence, knowledge about the relationship between commuting, health and worker performance is still limited. More specifically on the relationship with work engagement, studies focus on work-related aspects, neglecting individual and behavioral factors. This study aims to verify the relationship between the commuting patterns of workers, their health and their work engagement in a civil construction company located in São José dos Campos, Brazil.

A structured questionnaire was applied to 43 civil construction workers. The participants’ physical and mental health was evaluated using the 12-item short-form health survey. Employees’ work engagement was assessed through the UWES-17 scale. A descriptive statistical analysis was performed on the relationship between physical and mental health, engagement and commuting to work.

The result corroborated the literature showing that the use of active transport positively influenced the mental health of construction workers and negatively affected those who use individual motorized transport. People working from home had the lowest values for total engagement, vigor and dedication.

This study provides evidence and a prior understanding of this relationship, serving as a basis for decision-making processes in the area of transport that contribute to the health and better functioning of companies in the construction sector. This work also contributes to the state of the art on the relationship between commuting, health and worker engagement.

This study aims to explore how factors such as working conditions, lifestyle choices and demographic characteristics may affect the mental health of industrial workers in Kuwait.

Within the scope of the study’s objective, the authors reached 400 industrial workers (228 male, 172 female) working in oil and gas organizations in Kuwait. An ordered logistic regression model was conducted to examine the effect of relevant independent variables on workers’ mental health.

Result indicated that employees with a lower education level (p-value = 0.015), employees who were smokers (p-value = 0.004) and employees with night shifts (p-value = 0.019), were more likely to experience mental health issues. Furthermore, result strongly highlights a higher chance of experiencing mental health problems among the workers who had longer working times (p-value = 0.000). On the other hand, having children (p-value = 0.042), visiting a mental health professional (p = 0.014) and living in a house with others (flat mate, family members, etc.) (p-value = 0.016) were statistically significant factors to improve employees’ mental health. Surprisingly, the authors’ research did not find a significant relationship between the mental health issues experienced by employees and their yearly income.

The paper lies in its exploration of the impact of working conditions, lifestyle choices and demographic factors on mental health of industrial workers using statistical approach. By applying ordered logistic regression, this study uncovers new insights into mental health of industrial workers.

The COVID-19 pandemic stressed the health care sector's longstanding pain points, including the poor quality of frontline work and the staffing challenges that result from it. This has renewed interest in technology-centered approaches to achieving not only the “Triple Aim” of reducing costs while raising access and quality but also the “Quadruple Aim” of doing so without further squeezing wages and abrading job quality for frontline workers.

How can we leverage technology toward the achievement of the Quadruple Aim? I view this as a “grand challenge” for health care managers and policymakers. Those looking for guidance will find that most analyses of the workforce impact of technological change consider broad classes of technology such as computers or robots outside of any particular industry context. Further, they typically predict changes in work or labor market outcomes will come about at some ill-defined point in the medium to long run. This decontextualization and detemporization proves markedly problematic in the health care sector: the nonmarket, institutional factors driving technology adoption and implementation loom especially large in frontline care delivery, and managers and policymakers understandably must consider a well-defined, near-term, i.e., 5–10-year, time horizon.

This study is predicated on interviews with hospital and home health agency administrators, union representatives, health care information technology (IT) experts and consultants, and technology developers. I detail the near-term drivers and anticipated workforce impact of technological changes in frontline care delivery. With my emergent prescriptions for managers and policymakers, I hope to guide sectoral actors in using technology to address the “grand challenge” inherent to achieving the Quadruple Aim.

The “Social Determinants of Health” construct is well-entrenched in the way that both health care providers and researchers think about the effects of social conditions on health. Although there are a number of theories that fall under this rubric for the social production of health and illness, the core of this construct is the idea that social stratification leads to health disparity. In this chapter we show how such a mechanism might work for relating social stratification and job stress.

We used the pooled 2002, 2006, 2010 Quality of Work Life modules of the General Social Survey to test a model of the relationships between gender, age, education, and nativity with “bad jobs” and indicators of health status.

Findings show that social status is positively associated with job quality and with health in turn. Lower social status characteristics are related to bad jobs and poorer health.

Health disparities are thus “explained” by the consequences of social status for occupation and job quality, thereby depicting exactly how health disparities arise in normal social life. The theory and results underscore the importance of explicitly modeling social status factors in explanations of health disparities.

It is common to relate health disparities to social status but it is not common to show the mechanisms whereby social status actually produces health disparities. Addressing health disparities means addressing the consequences of social inequalities for normal activities of social life such as work. Improving job quality would be a health “treatment” that addresses health disparities.

This chapter demonstrates the value of explicitly tracing the consequences of status differences on differences in social context such as work conditions and then health. In the study of health disparities this is not often done. In this chapter we show how social inequality leads to occupational and job quality differences that, in turn, lead to health differences.

It is estimated that we spend at least a third of our working lives in the workplace and the duration of this, due to the extension of working lives through legislative changes and increased pension ages, is set to increase. Ageing of the workforce is a growing concern but health and safety issues cannot be used as an excuse for not employing older workers. A healthy workplace is one where the risks are managed and where workers and their managers work together to improve the work environment and protect the health of the workers. Furthermore, linking this to personal health resources and the local community can improve the health of all involved. Within the workplace this includes both the psychosocial and physical work environment. To create a healthy workplace there is a need to ensure risk management measures are in place and our older workers participation in risk assessment and risk reduction programmes. In addition to this, targeted occupational health promotion programmes may be beneficial. There are few integrated policies with regard to age and work but research does identify good practice, including participation of employees in change measures, senior management commitment and taking a life-course approach. While there are challenges in relation to age-related change, the work ability concept can improve understanding. The use of a comprehensive approach such as Age Management can help employers who have a critical role in making the workplace age-ready.

Most research on the work conditions and family responsibilities associated with work-family conflict and other measures of mental health uses the individual employee as the unit of analysis. We argue that work conditions are both individual psychosocial assessments and objective characteristics of the proximal work environment, necessitating multilevel analyses of both individual- and team-level work conditions on mental health.

This study uses multilevel data on 748 high-tech professionals in 120 teams to investigate relationships between team- and individual-level job conditions, work-family conflict, and four mental health outcomes (job satisfaction, emotional exhaustion, perceived stress, and psychological distress).

We find that work-to-family conflict is socially patterned across teams, as are job satisfaction and emotional exhaustion. Team-level job conditions predict team-level outcomes, while individuals’ perceptions of their job conditions are better predictors of individuals’ work-to-family conflict and mental health. Work-to-family conflict operates as a partial mediator between job demands and mental health outcomes.

Our findings suggest that organizational leaders concerned about presenteeism, sickness absences, and productivity would do well to focus on changing job conditions in ways that reduce job demands and work-to-family conflict in order to promote employees’ mental health.

We show that both work-to-family conflict and job conditions can be fruitfully framed as team characteristics, shared appraisals held in common by team members. This challenges the framing of work-to-family conflict as a “private trouble” and provides support for work-to-family conflict as a structural mismatch grounded in the social and temporal organization of work.