Next Article in Journal
Sex Differences in Factors Associated with General Life Satisfaction among Occupationally Injured Workers in Korea: A Panel Analysis of the 2013–2017 Panel Study of Worker’s Compensation Insurance
Next Article in Special Issue
Psychosocial Risks and Violence Against Teachers. Is It Possible to Promote Well-Being at Work?
Previous Article in Journal
Spatiotemporal Distribution of Tuberculosis during Urbanization in the New Urban Area of Nanchang City, China, 2010–2018
Previous Article in Special Issue
Risk Factors for Workplace Bullying: A Systematic Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Workplace-Based Organizational Interventions Promoting Mental Health and Happiness among Healthcare Workers: A Realist Review

1
School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
2
Gauteng Department of Health, Gauteng Provincial Government, 45 Commissioner Street, Marshall Town (Johannesburg) 2147, South Africa
3
National Institute of Occupational Health, National Health Laboratory Service, Braamfontein, Johannesburg 2001, South Africa
4
School of Public Health, University of Witwatersrand, Parktown 2000, South Africa
5
Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2028, South Africa
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(22), 4396; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16224396
Submission received: 30 September 2019 / Revised: 27 October 2019 / Accepted: 2 November 2019 / Published: 11 November 2019

Abstract

:
Mental illness, deemed globally to account for 32% of years lived with a disability, generates significant impacts on workplaces. In particular, healthcare workers experience high rates of mental ill health such as burnout, stress, and depression due to workplace conditions including excessive workloads, workplace violence and bullying, which also produces negative effects on patients as well as on the happiness and wellbeing of those who remain at work. This review was undertaken to synthesize the evidence on workplace-based interventions at the organizational level promoting mental health and wellbeing among healthcare workers, to identify what has been receiving attention in this area and why, especially considering how such positive effects are produced. A search of three premier health-related databases identified 1290 articles that discussed healthcare workers, workplace interventions, and mental health. Following further examination, 46 articles were ultimately selected as meeting the criteria specifying interventions at the organizational level and combined with similar studies included in a relevant Cochrane review. The 60 chosen articles were then analyzed following a realist framework analyzing context, mechanism, and outcome. Most of the studies included in the realist review were conducted in high-income countries, and the types of organizational-level interventions studied included skills and knowledge development, leadership development, communication and team building, stress management as well as workload and time management. Common themes from the realist review highlight the importance of employee engagement in the intervention development and implementation process. The literature review also supports the recognized need for more research on mental health and happiness in low- and middle-income countries, and for studies evaluating the longer-term effects of workplace mental health promotion.

1. Introduction

Mental illness is estimated to globally account for 32.4% of years lived with a disability [1] and to generate significant impacts on workplaces with depression and anxiety disorders costing US$1 trillion dollars in lost productivity in 2017 [2]. As evidence of the growing recognition of mental ill health in the workplace, in May 2019, the World Health Organization for the first time classified burnout as an “occupational phenomenon” in the eleventh revision of the International Classification of Diseases [3]. There is also an expanding awareness of not only absence and the direct costs due to mental ill health, but also the effects on workers who remain on the job. Employers are increasingly paying attention to presenteeism—decreased productivity due to health problems—by employees who remain present at work [4]. Indeed, presenteeism has been shown to contribute a larger economic cost than absenteeism and employer health costs [5]. With the economic burden so high, the relative returns from investing in mental health are favorable: every dollar invested in scaling up treatment for common mental illnesses such as depression and anxiety leads to a four-fold return in better health and ability to work [6].
In the workplace, there are multiple factors recognized to be determinants of workers’ mental health [7]. These include high job demand, low job control, low workplace social support, effort-reward imbalance, low organizational procedural justice, low organizational relational justice, organizational change, job insecurity, temporary employment status, atypical working hours, bullying, and role stress [8]. In addition, non-work determinants such as family status and social support networks are also important predictors of workers’ mental health [9]. The healthcare workplace, in particular, experiences high rates of mental illness such as burnout, stress, post-traumatic stress disorder, anxiety, and depression [10,11,12,13,14] due to workplace conditions such as excessive workloads [15,16,17,18,19,20], working in emotionally-charged situations [21], stigma against seeking care [22], and workplace violence [23,24], among other factors. Mental ill health of healthcare workers has additionally been associated with an increased risk of patient safety incidents, poorer quality of care due to low professionalism, and reduced patient satisfaction [25]; medical errors [26,27]; quality of care, patient falls, medication errors, and infections [28]; lower patient satisfaction [29]; and patient safety outcomes [30]. Poor mental health of healthcare workers further affects healthcare systems by intensifying shortages among the workforce as a result of a reduction in work effort or those leaving the practice [16,31] as well as the significant economic costs this generates [32].
Over and above the substantial burden of mental illness and ill health, the value of positive mental health and wellness has been increasingly recognized and captured through constructs such as happiness, an approach receiving growing international attention such as by the United Nations’ High-Level Meeting on Wellbeing and Happiness in 2012. This orientation conforms well with the World Health Organization’s definition of health as “a state of complete physical, mental and social wellbeing and not merely the absence of disease or infirmity” [33]. For the purposes of this review, the term “mental health” herein encompasses both positive and negative conceptions of mental wellbeing.
Although there has been an increase in mental health promotion and prevention programs globally, only 7% of such initiatives are workplace-based [34]. Indeed, the Global Happiness Policy Report (2018) calls for more research to expand the causal evidence base on work and wellbeing, and to evaluate workplace interventions promoting worker wellbeing [35]. In 2015, a Cochrane systematic review evaluated evidence on the effectiveness of interventions to prevent occupational stress in healthcare workers [36], but was restricted to studies measuring work-related stress and/or burnout by using validated tools. As such, application of a more holistic definition of mental health including a broader scope of mental health outcomes such as the psychosocial work environment and satisfaction is warranted to appreciate the potential benefits of improving work environments. Furthermore, the Cochrane review included only quantitative studies meeting stringent conditions: randomized controlled trials for individual-level interventions, controlled before and after studies, and interrupted time series for organizational-level interventions excluding cross-sectional and qualitative studies that could contribute to better understanding the effectiveness of interventions in various situations.
To explore the practical challenges of understanding how workplace-based organizational interventions work effectively in multidimensional and unavoidably diverse healthcare contexts, the realist review method provides a more nuanced approach for ascertaining what works for whom, in what circumstances, in what respects and how [37], rather than definitively assessing the efficacy of a relatively standard intervention producing a discrete outcome. This orientation is well suited to address the recognized need for greater focus on the process of organizational interventions including the why and how of successful (and unsuccessful) interventions [38]. While we note that a realist review is currently being undertaken to address mental illness in physicians [39], there is a need to equally take stock of the impacts of interventions on nurses, midwives, and other healthcare professionals as well as other healthcare support staff. Accordingly, in examining the question of how can workplace-based organizational interventions improve the mental health and wellbeing of healthcare workers, we elected to conduct a realist review that takes into consideration (a) a wider definition of outcomes of interest; (b) diverse study designs worthy for inclusion in realist analyses; and (c) a comprehensive range of healthcare workers.

2. Methods

2.1. Search Strategy

In our exploratory review of literature relevant to our question of interest, we surveyed research in the areas of global mental health, mental health and the workplace, mental health and the healthcare workplace, mental wellbeing and happiness, happiness and the workplace, workplace-based mental health interventions, and workplace-based mental health interventions for healthcare workers. A search of MEDLINE, CINAHL (Cumulative Index to Nursing and Allied Health Literature), and PsycINFO was conducted in November 2018 (see Appendix A: Search Terms). MEDLINE was selected based on its extensive and premier coverage of health and biomedical research. CINAHL was selected to additionally capture studies related to nursing and allied health professionals. PsycINFO was selected for its command of psychology, which is particularly relevant for the subject area of the review: mental health. All three databases were searched for journal articles published since the inception of the respective databases (i.e., there were no restrictions placed on the dates of coverage).

2.2. Selection and Appraisal of Documents

The database search (MEDLINE, CINAHL, and PsycINFO) initially yielded 1496 articles. After duplicates were removed, 1290 articles remained. The titles and abstracts of the 1290 articles were then screened, primarily looking at the target population (healthcare workers), intervention (workplace-based), and outcome (mental health including positive concepts of mental health). A broad scope of “mental health” was intentionally adopted including positive constructs such as psychological resilience, quality of life, life satisfaction, and happiness as well as negative constructs such as stress, burnout, and mental disorders (more specific inclusion and exclusion criteria for the full selection and appraisal process is listed below in Table 1). Based on the title and abstract review, 1012 articles were excluded, leaving 278 articles for full-text assessment. Following the full-text review, 177 articles were excluded (see Figure 1). The remaining 101 articles were then classified by the category of workplace-based intervention by using the three categories from the Cochrane review: cognitive-behavioral, relaxation, and organizational, which were developed by the authors of the Cochrane review as there is no major framework available for categorizing preventive stress interventions [36]. As this realist review is focused on organizational-level interventions, the articles categorized as cognitive-behavioral and relaxation were excluded (n = 55). Then, the studies on organizational interventions included in the Cochrane review were added (n = 21), which included all of the articles included in the organizational category even if they were not included in the Cochrane review’s meta-analysis. Then, duplicates (n = 4) and studies on students and trainees (n = 2) were removed. In addition, an article that did not cover the implementation of an intervention was removed. This left the final set of articles to include for the synthesis (n = 60). Five of the 60 were articles on the same study(ies) as other article(s), and therefore their analysis was combined to represent one study/intervention. Thus, this review comprises 55 unique studies represented in 60 research articles (listed in Table 2; a full summary of the included articles is available in Table S1). The specific inclusion and exclusion criteria used for the selection of articles is as follows.

2.3. Data Extraction

General demographic and characteristic information extracted from the selected studies were country where the study took place; type of healthcare worker (nurse, physician, etc.); type of healthcare workplace (hospital, residential care facility, etc.); and type of specialized care, if applicable (e.g., intensive care unit, emergency medicine, etc.). These characteristics were selected to provide a summary of the locations and participants who have been included in studies to date as well as to provide an overview of the contexts for the studies.
Each study was summarized using a realist framework comprising a brief description of the context including why and how the intervention occurred; a brief description of the underlying mechanism for how the intervention was intended to work; and, a brief description of the outcome. These were selected to facilitate the analysis and synthesis of the studies using the realist framework of context–mechanism–outcome.
Methods of each study were also summarized comprising a brief description of the intervention itself; the type of study design; length of the follow-up period, if applicable; the construct/measure(s) of mental health used in the study; and, whether or not there was an improvement in the construct/measure(s) of mental health. These were selected to provide a summary of the research methods used and to compare the types of interventions studied and methods used. The wide range of mental health outcome constructs/measures used in the selected studies—intentionally included to encompass a broad definition of mental health and wellness—precluded the extraction of quantitative measures of outcomes.
Finally, any other findings and/or relevant notes that the reviewer thought were significant for the purposes of this realist review were noted, in particular findings and observations related to the realist framework of context–mechanism–outcome.

2.4. Analysis and Synthesis Processes

The analysis and synthesis followed an iterative process. The selected articles were read and reviewed by the primary reviewer, during which time the general demographics and characteristics of each study (as listed above; location of study, type of healthcare workers, type of work environments, etc.) were documented and summarized across the selection of studies (see Document Characteristics below). The three elements of the realist framework (context, mechanism, outcome) as well as a brief description of the intervention were extracted from each of the articles by the primary reviewer in note form. For the context, the impetus for the intervention and/or a brief description of the initial state of the workplace was noted if available in the article (e.g., hospital restructuring, high absenteeism, promising initial evidence, etc.). Contextual factors that were mentioned to have aided, hindered, or otherwise influenced the intervention were also noted. For the mechanism, the underlying strategy, theory and/or functionality of the intervention was noted (e.g., reducing work hours, enhancing work-related skills, etc.).
In order to facilitate summaries and comparisons across studies, the mechanisms were then also categorized into the following types, based on the common themes found in the collection of studies: skills and knowledge development, leadership development, communication and team building, stress management, or workload and time management. If the intervention comprised more than one type of mechanism, it was categorized as “mixed”. This was done to facilitate synthesis across the variety of interventions in the selected studies.
A second review of the articles was then done to extract the following information from each study: study design, length of follow-up period (if applicable), and measure(s) of mental health. During the second review, the reviewer also reviewed the information and notes from the first review.
The elements of the realist framework from the articles were then analyzed thematically, with a focus on process-related factors across the studies. The diversity of both mental health constructs and types of interventions precluded the direct comparison or evaluation of interventions amongst one another, therefore, the focus was placed on a thematic analysis related to patterns of mechanisms for developing and implementing workplace-based interventions to promote mental health among healthcare workers.

3. Results

3.1. Document Characteristics

Table 2 summarizes basic characteristics of all 55 relevant studies in 60 articles [40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99] selected in our review, with a consolidated description of this material following.
Most of the studies (n = 51) were from high-income country contexts with the remaining four studies from upper middle-income countries, as categorized by the World Bank [100]. The continent most represented in the studies was Europe (n = 22), followed by North America (n = 21), Asia (n = 6), and Oceania (n = 5). Only one study was from Africa. Half of the studies (n = 32) were published from 2010 onward. The earliest study was published in 1993.
Most of the studies targeted one type of healthcare worker, with the most common being nursing staff. Of the studies targeting one particular type of healthcare worker, nurses and nursing staff was the most common type of healthcare worker (n = 25), followed by physicians (n = 5). Twenty-one studies included more than one type of healthcare worker such as nurses, midwives, physicians, administrative staff, and/or managerial staff.
More than half of the studies (n = 32) emphasized the unique characteristics of certain healthcare work environments such as residential care facilities and intensive care units, for example, noting the particular demands and emotionally-charged nature of the work environments. Of the studies explicitly focusing on a particular type of healthcare service, the most common was elder and/or adult residential care (n = 11), followed by intensive care (n = 6), mental health/psychiatric care (n = 5), oncology (n = 4), and emergency medicine (n = 2).
A variety of designs were used in the included studies. The most common study design was quasi-experimental (n = 17), followed by a randomized trial, either a cluster randomized trial or an individual randomized trial (n = 15). Other methods used were longitudinal surveys (n = 11), mixed methods (n = 4), cross-sectional surveys (n = 4), and qualitative methods (n = 4). Of the four mixed methods studies, two comprised longitudinal surveys and focus groups, one used a retrospective pre/post survey and interviews, and one used longitudinal and qualitative surveys. The four qualitative studies all used interviews, with one of the four also using a collective case study method in addition to interviews.
Among the quasi-experimental studies, randomized trials, longitudinal studies, and the three mixed method studies with a longitudinal component (n = 46), the duration of follow-up time ranged from 20 days to 10 years. Eight studies had a follow-up time of less than six months, fourteen studies had between 6–10 months, and nineteen studies had between 12–24 months. There was one study each with the follow-up times of three years, four years, seven years, and 10 years. One study did not indicate the duration of its follow-up time.
There were a variety of constructs of mental health and happiness used in the studies, with most studies (n = 41) using more than one construct. The most common construct was burnout (n = 27), followed by stress (n = 19), and job or work satisfaction (n = 14). Other constructs used in the studies include distress (n = 6), depression (n = 4), psychosocial work environment (n = 3), psychological wellbeing (n = 2), anxiety (n = 2), psychosomatic symptoms (n = 2), affect (n = 1), and resilience (n = 1), among others.
The types of interventions most commonly used were skills and knowledge development (n = 13), followed by communication and team building (n = 10), workload and time management (n = 9), stress management (n = 7), and leadership development (n = 3). Thirteen studies used mixed types of interventions (according to this categorization of mechanisms).
Twenty-five studies found an improvement in their measure of mental health. Seventeen found an insignificant or partial improvement including an improvement on only one dimension of a scale, for example. Three studies found an improvement in the short term, but it was not sustained in the long term. Ten studies found no improvement or a decline in their measure of mental health.

3.2. Main Findings

Several themes and patterns of mechanisms for developing and implementing interventions relevant to a realist framework emerged from the analysis.

3.3.1. Stakeholder Engagement and Support

The importance of and necessity for stakeholder engagement has been highlighted repeatedly in multiple studies. For example, in their process evaluation, Uchiyama et al. [95] found that continuously engaging with key people such as unit leads was necessary for the intervention’s successful implementation. Another study highlighted potential issues arising from conflicting levels of support from different levels of the organization. In this case, the study was supported by the hospital administration who compensated the nurses for participation; however, it was not supported by all of the unit-level managers, who effectively barred participation through how they scheduled their staff [53]. This includes engagement and support across all levels of the organization, from management to frontline workers. In the introduction of a new telemedicine service, Romig et al. recognized that positive staff perceptions to the new technology would be key to its successful implementation so they showed the staff the benefits at the outset to help ensure uptake and usage of the technology [88]. Several studies noted the participatory nature of the interventions—involving frontline staff in the development and/or implementation of the interventions—as a key success factor [41,43,44,46,49,54,55,57]. The benefits of a participatory process were even further emphasized by studies that found the participation process itself as having a positive impact on employees [62,75].

3.3.2. Approaches to Developing Interventions

Common approaches to identify which workplace factors to target in the interventions included initial engagement with the healthcare workers (e.g., initial baseline study to find context-specific factors affecting mental health), building on promising earlier research (e.g., following a pilot study), and/or based on a theory of mental health in the workplace. Some of the studies explicitly included the theoretical foundation of their intervention, either in combination with local needs or as the sole basis for a particular intervention target. This, for example, [43,44] targeted four theory-grounded psychosocial job factors: psychological demands, decision latitude, social support, and effort-reward imbalance, while Canadian research on improving civility in the work environment was based on the theoretical model of interpersonal relationships at work [65,66,67].

3.3.3. Managing Expectations

A few studies noted the challenges and implications related to managing expectations around workplace mental health promotion activities. For example, Uchiyama et al. noted the lack of improvement in measures of the psychosocial work environment could be due to the higher expectations that some employees had based on the issues they were facing in the workplace, for instance, employees facing issues of workload and compensation may not have felt that interventions addressing team meeting scheduling and communication met their expectations for workplace improvements [41]. Ultimately, managing expectations could make the difference between successful and unsuccessful implementation. For example, Aust et al. identified the mismatch between employees’ expectations and program delivery as one of the reasons why the intervention “failed” (the psychosocial work environment at the hospital worsened by their measurement after the intervention) [42]. Conversely, elevated expectations for the interventions could have the opposite effect, inflating the true benefits of the mental health promotion activities based on employees’ positive expectations and hope for the change. For example, Bryan et al. found that the nurses’ “excitement for change” likely contributed to the observed short-term increase followed by a subsequent decrease in job satisfaction [45].

3.3.4. Complexity of Evaluating Organizational-Level Interventions

A theme that emerged from the studies was the complexity of evaluating organizational-level interventions, in particular due to factors external to the study that can impact the outcome. For example, Proctor et al. [82] found no change in psychological distress among the intervention group, however, there were organizational and managerial changes that happened to occur at the same time as the study. The control group increased in psychological distress during that time, suggesting that the intervention was successfully able to mitigate the distress caused by the organizational changes, although purely from the results of the study, this would not necessarily have been apparent.

3.3.5. Process vs. Mechanism

Several studies have addressed the challenge of distinguishing between the process of developing, introducing, and/or implementing an intervention and its impact on the mental wellbeing of employees, as opposed to the impact of the actual intervention on mental wellbeing. For instance, Bunce et al. also measured process variables and concluded that the process did in fact affect the outcome; indeed, the improvements in occupational stress following an interactive training program regressed to their initial levels one year later, also suggesting the immediate improvements were based on the process of engaging in the training program rather than the skill and knowledge garnered from the program [46]. Two considerations for future intervention development could be derived from this matter of process and mechanism. First, process matters. If the process itself could impact and influence the outcome, then it is important to be intentional and selective with the process. Second, if the process impacts the outcome, this could affect the longevity and subsequent measures of the success of an intervention among a workforce.

3.3.6. Sustainability and Longevity of Interventions

Only two studies evaluated the longer-term effects of policy changes: one from California found that new legislation on minimum staffing levels for licensed nurses in hospitals increased job satisfaction [92], and one from Germany found that a policy limiting hospital physicians’ weekly working time led to no improvement in physicians’ mental health after ten years [86]. Most studies evaluated the effect of a discrete initiative, which begs the question of the sustainability and longevity of the effects following the completion of the study. As an exception, [58] noted that a facilitator was employed by the organization to continue the program following the close of the study. Three studies in particular found a short-term improvement following the intervention, which was not sustained in the long term [45,46,53].

3.3.7. Broad Definition of Mental Health

Although the most commonly-used measure of mental health was burnout (see Document Characteristics above), there was a variety of constructs used in the studies including stress, work satisfaction, distress, depression, psychosocial work environment, psychological wellbeing, anxiety, psychosomatic symptoms, affect, and resilience. Even among the studies using burnout, many discussed differences in the three dimensions of emotional exhaustion, depersonalization, and personal accomplishment [101]. The multitude of constructs both reinforces the multifaceted nature of mental health in the workplace as well as advances the conceptualization of mental health beyond merely the presence or absence of mental disorders to also include more holistic measures of wellbeing and happiness.

4. Discussion

In line with the realist synthesis approach, the focus of this discussion is on contextual factors and processes of conducting interventions that influenced how certain mechanisms generated positive outcome [102]. Due to the complexity of factors influencing healthcare workers’ mental health, the broad definition of mental health including positive mental wellbeing such as happiness as well as the complexity of implementing and evaluating workplace-based interventions, a realist review method is well-suited to explore why and how interventions in this area work. In considering this here, we also reflect on areas where additional attention is needed.
The first theme that emerged was the importance of aligning the underlying reason, strategy, and/or theory with the structure and content of the intervention itself as well as with the mental health constructs that define success; this requires careful consideration of the specific needs of each population and the context and nuances of the design of the intervention. LaMontagne et al. have presented a framework for an integrated approach to workplace mental health interventions. This brings together “harm prevention” addressing workplace organization primary prevention initiatives, “positive mental health promotion” addressing individuals’ resilience in mitigating effects, and illness management through diagnosis, treatment, and reintegration [103]. These three approaches correspond with the traditional domains of public/occupational health, organizational development/psychology, and psychiatry. Although seemingly intuitive, it is important that consideration is given to how the targeted upstream organizational-level factors could affect change in individuals’ mental health and wellbeing, and the influences on the optional approaches being considered for implementation [103]. This also directly calls into question the positionality of those engaged in making these judgments, to ensure that the scope of possible interventions is not unduly restricted by the preferences of one particular stakeholder group.
The second theme was the importance of the engagement of employees across the organization; lack of engagement from employees or a certain group of employees was often cited as a reason why an intervention did not succeed or did not achieve the outcome anticipated. This theme has been strongly recognized to be of critical importance in workplace health promotion interventions [104,105]. Furthermore, the psychosocial safety climate (PSC)—a construct encompassing policies, practices, and procedures protecting the psychological health and safety of workers [106]—is positively correlated with employees’ engagement and job satisfaction, and negatively correlated with mental ill health [107], reinforcing the positive effects of participation and engagement across all levels of an organization. Similarly, workplace culture can impact the outcomes and success of work-based health promotion activities, particularly in the context of implementation. Beyond the specific programs and activities, an organization’s “culture of health”—fully integrating health into the organizational culture of how people think and act—is crucial for workplace-based health promotion, with elements that contribute to a culture of health including a physically-supportive environment, socially-supportive environment, leadership support, supportive middle management, peer encouragement and team building, and employee involvement and engagement [108]. Several studies have used participatory approaches in the development and/or implementation of the intervention. The theme of engagement also highlights the importance of providing employees with the time and capacity to participate, which may involve ensuring management support to allow employees to participate. Meaningful and repeated engagement can also help to manage expectations for the project so as to avoid the potential negative effects of unmet or mismatched expectations.
A third theme relates to managing complexity. There are the many factors at the individual, organizational, and societal levels that affect mental health in the workplace, and make it difficult to select a particular target on which to act as well as the difficulty in evaluating the effect of a specific change. Indeed, several studies have mentioned unrelated organizational changes that occurred at the same time as the intervention such as restructuring or layoffs that subsequently diminished or negated the effects of the intervention. The consideration of complexity also includes diversity within groups of workers with different needs, challenges, and factors that are contributing to their mental health at any given time, and therefore the difficulty in identifying and implementing an intervention that will work for a group of employees. The heterogeneity of most employee populations also presents challenges with consistent evaluation; for instance, a meta-analysis of workplace health promotion programs found larger effect sizes in younger populations [109]. This also highlights the importance of process considerations as inextricably linked to the mechanism for change. The complexity of occupational health interventions in healthcare is reflected in the recognition of particular challenges and considerations involved in the evaluation of such interventions such as the importance of context and suitability of research methods [110,111].
The fourth theme is the sustainability and longevity of both the intervention and the effect on employees’ mental health. For example, the three studies that specifically found a short-term improvement in workers’ mental health, but no long-term improvement, reflect the idea that a short-term initiative can improve mental health in the short term through an “excitement of change” effect while resources and attention are focused on the initiative in the short term [45]. In this regard, the same type of bias noted in the Hawthorne effect may be at play, reflecting an effect of attention being given more than the efficacy of the action put into effect [112]. On the other hand, the implementation of the intervention during a discrete time interval may underestimate potential effects if it does not provide sufficient exposure for the employees to the intervention. In addition, what is of particular importance is that the improvement may not be sustainable once the intervention ends. Within the often complex environment of healthcare, making incremental changes within a comprehensive transformation strategy has been identified as a guiding principle for ways to engage in the process of culture change [113], underscoring the importance of continuous improvement rather than discrete and singular efforts. Finally, another related consideration is who is responsible for the continued implementation of the intervention. For example, is it the workers’ continued responsibility to enact what had been introduced through group-based training and support intervention offered by the organization?
Occupational mental health is most commonly conceptualized from a pathological standpoint, characterized by the presence or absence of mental illness or disorders, rather than the presence of positive mental health and wellbeing. Indeed, in a qualitative study on job-related wellbeing, stress and burnout among healthcare workers in rural Ethiopia, most participants expressed a view of wellbeing as absence of stress rather than as a positive state [114]. Although there is increasing attention toward concepts of positive mental wellbeing including happiness in other disciplines such as economics [115,116,117,118], there remains an opportunity to integrate more positive dimensions and conceptualization of mental health in workplace-based interventions. The term “happiness” as an indicator of positive mental health can refer both to moods and emotions as well as to more long-term wellbeing and life satisfaction. The Organization for Economic Co-operation and Development defines subjective wellbeing as encompassing three elements: life evaluation (“a reflective assessment on a person’s life or some specific aspect of it”), affect (feelings or emotions, usually at a point in time), and eudaimonia (sense of meaning and purpose, or “psychological flourishing”) [118]. As for measuring happiness and mental wellbeing, life satisfaction is seen as a more reliable measure of overall wellbeing as it depends more on the continuing circumstances of people’s lives [115,119]. Therefore, measures of happiness based on life satisfaction are deemed better suited to capture longer-term and international differences in policies and institutions [116]. For instance, the World Happiness Report—an annual report published by the United Nations since 2012 on global happiness including a ranking of countries’ happiness levels—uses life satisfaction as its measure of happiness [120].
It is of critical importance to note that the large burden of mental illness is often exacerbated by stigma and discrimination. The negative impacts of stigma occur, for example, through victimization, mistreatment, loss of support networks, and difficulties accessing housing [121]. In addition, stigma has been found to deter or delay help-seeking among individuals with mental illness, with a disproportionate effect among ethnic minorities, youth, men, military personnel, and health professionals [122]. Stigma and discrimination can in turn worsen the social and economic costs of mental illness. Individuals who experience discrimination against mental illness in a healthcare setting have almost double the costs of health service usage [123]. In addition to the impact of stigma against mental illness, the stigma against infectious diseases such as HIV/AIDS and tuberculosis can in turn negatively impact people’s mental health [124]. Furthermore, in Low and Middle Income Countries (LMICs) experiencing the burden of both infectious and chronic non-infectious diseases including mental illness, the resulting intersection of stigmas can result in a syndemic [125].
As the themes discussed above all call into question the importance of attention to the mechanisms and processes for carrying out interventions to improve mental health and wellbeing, it is worth reflecting on the limited attention to the existence of “health and safety management” processes that have been introduced to promote the involvement and participation of workers representatives along with management and health professionals [126]. Perhaps this is a mechanism that should receive additional attention and be subject to evaluation itself.
Finally, the value of applying a realist-informed approach to the question of what works in promoting mental health and wellbeing in the workplace merits consideration. For example, while the 2015 Cochrane systematic review on preventing occupational stress in healthcare workers concluded that there was low-quality evidence that changing work schedules reduced stress, and other organizational-level interventions led to minimal to no changes in stress, [36], our review also found mixed evidence of workload and time management-related interventions affecting mental health. A strength of our review was the broad inclusion criteria for healthcare workers including nurses, midwives, physicians, social workers, aged care staff, and support staff. With the increasing move toward interdisciplinary and team-based healthcare, studying the impact on a diverse set of healthcare workers is essential, acknowledging the unique challenges and opportunities presented in each discipline.
This review furthermore highlights the need for research in this area from LMICs, particularly from African countries. With increasing demand for health human resources in LMICs, there is a need for evidence on how best to support the mental health of healthcare workers in these countries.
This review also highlights the need for robust definitions and approaches to mental health in the workplace, extending beyond the traditional focus on the absence of negative mental health to more broadly encompass constructs of mental wellbeing and happiness including long-term subjective wellbeing and life satisfaction.

Limitations

A major limitation of the review is the lack of generalizability due to the variety of mental health constructs included. The variety of mental health constructs intentionally included in this review encompassed a “mental health” that was not solely the absence or presence of a mental illness or condition; while expanding on previous reviews in so doing, the range of outcomes and measures make direct comparisons across studies difficult. Second, the focus on only organizational-level interventions meant the exclusion of cognitive-behavioral and relaxation interventions. Although this selection criterion was intentional, this categorization of interventions may implicitly or explicitly impose a mutual exclusivity among types of interventions, when a holistic approach to mental health promotion in the workplace may be warranted. Third, the exclusion of grey literature from the literature search strategy may have precluded consideration of additional relevant research [89] conducted by organizations such as occupational health and safety agencies in the analysis. Fourth, there was only one reviewer who conducted the literature search, analysis, and synthesis process, which may have led to bias in both the selection and synthesis processes.

5. Conclusions

While the healthcare workforce experiences high rates of mental ill health, generating significant effects not only for the workers themselves but also on patients, there is limited evidence on how to promote mental health and wellbeing in the healthcare workforce. The collection of studies included in this review highlights the complexity of factors at the organizational level that influence mental health and the work environment.
There is strong rationale for approaching mental health promotion in the workplace from a continuous improvement perspective. This is due to the variety of factors influencing mental health in the workplace at any given time, regardless of the complexity of evaluating and measuring progress in this area. Moreover, attention to this challenge have been quite uneven globally. Recommendations for research on organizational-level interventions to promote mental health particularly include the need for more research in low- and middle-income countries. Additionally, there exists great opportunity for better integration of positive mental health and wellbeing constructs such as happiness in the context of workers’ mental health in intervention studies, so that efforts to improve this can be more strongly considered in future knowledge synthesis reviews.

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/1660-4601/16/22/4396/s1, Table S1: Summary of studies included in the review.

Author Contributions

Conceptualization of the realist review was done by P.G., A.Y., and J.M.S. This was then reviewed and revised by S.S., N.N., and S.K. P.G. conducted the methodology, validation, and formal analysis. P.G. wrote the original draft manuscript with initial revisions by A.Y. and J.M.S., with further revisions by them and S.S., N.N., and S.K. A.Y. and J.M.S. supervised and administrated the project.

Funding

This realist review was supported by a grant from a Canadian Institutes of Health Research (CIHR), “Promoting health equity by addressing the needs of health workers: A collaborative, international research program” (grant number ROH-115212).

Acknowledgments

The authors gratefully acknowledge the support of the Canadian Institutes for Health Research in supporting this project. The authors’ work was independent of the funders. The views expressed in this article are those of the authors and do not necessarily reflect the views of the above-named organizations or of the institutions with which they are affiliated.

Conflicts of Interest

There are no conflicts of interest to declare.

Appendix A

Search Strategy for Realist Review
The following search terms were used in MEDLINE, CINAHL (Cumulative Index to Nursing and Allied Health Literature), and PsycINFO in November 2018.
MEDLINE Search Strategy
  • exp health personnel/
  • (health* adj (provider* or professional* or worker* or staff*)).tw.
  • (physician* or nurs*).tw.
  • 1 or 2 or 3
  • occupational stress/ or burnout, professional/
  • mental health/ or resilience, psychological/ or exp mental disorders/
  • “Quality of Life”/ or Personal Satisfaction/
  • (mental health or life satisfaction or burnout or happiness).tw.
  • 5 or 6 or 7 or 8
  • Workplace/
  • (workplace* or employer*).tw.
  • 10 or 11
  • (interven* or program* or implement* or activit* or participat* or effective* or evaluat*).m_titl.
  • pc.fs.
  • 13 or 14
  • 4 and 9 and 12 and 15
CINAHL Search Strategy
  • (MH “Health Personnel+”)
  • AB health* n1 (provider* or professional* or worker* or staff*)
  • AB (physician* or nurs*)
  • S1 OR S2 OR S3
  • (MH “Stress, Occupational+”) OR (MH “Burnout, Professional+”)
  • (MH “Mental Disorders+”) OR (MH “Mental Disorders, Chronic”)
  • “resilience”
  • (MH “Adaptation, Psychological+”)
  • (MH “Quality of Life+”) OR (MH “Quality of Working Life”)
  • (MH “Personal Satisfaction+”)
  • AB (mental health or life satisfaction or burnout or happiness)
  • S5 OR S6 OR S7 OR S8 OR S9 OR S10 OR S11
  • (MH “Work Environment+”)
  • AB (workplace* or employer*)
  • S13 OR S14
  • TI (interven* or program* or implement* or activit* or participat* or effective* or evaluat*)
  • S4 AND S12 AND S15 AND S16
PsycINFO Search Strategy
  • MA health personnel
  • AB health* n1 (provider* or professional* or worker* or staff*)
  • AB physician* or nurs*
  • S1 OR S2 OR S3
  • AB stress, occupational OR AB burnout, professional
  • AB mental disorders or mental health or mental illness
  • AB resilience
  • AB adaptation, psychological
  • AB (quality of life or wellbeing or wellbeing or health-related quality of life) OR AB quality of working life
  • AB personal satisfaction
  • AB life satisfaction or happiness or wellbeing
  • AB workplace
  • AB employer
  • S5 OR S6 OR S7 OR S8 OR S9 OR S10 OR S11
  • (S12 OR S13)
  • TI (interven* or program* or implement* or activit* or participat* or effective* or evaluat*)
  • (S4 AND S14 AND S15 AND S16)

References

  1. Vigo, D.; Thornicroft, G.; Atun, R. Estimating the true global burden of mental illness. Lancet Psychiatry 2016, 3, 171–178. [Google Scholar] [CrossRef] [Green Version]
  2. WHO. Mental Health in the Workplace. 2017. Available online: http://www.who.int/mental_health/in_the_workplace/en/ (accessed on 13 December 2017).
  3. WHO. Burn-Out an “Occupational Phenomenon”: International Classification of Diseases. 2019. Available online: http://www.who.int/mental_health/evidence/burn-out/en/ (accessed on 29 May 2019).
  4. Schultz, A.B.; Edington, D.W. Employee Health and Presenteeism: A Systematic Review. J. Occup. Rehabil. 2007, 17, 547–579. [Google Scholar] [CrossRef]
  5. Ammendolia, C.; Côté, P.; Cancelliere, C.; Cassidy, J.D.; Hartvigsen, J.; Boyle, E.; Soklaridis, S.; Stern, P.; Amick, B. Healthy and productive workers: Using intervention mapping to design a workplace health promotion and wellness program to improve presenteeism. BMC Public Health 2016, 16, 1190. [Google Scholar] [CrossRef]
  6. WHO. Mental Health: Massive Scale-up of Resources Needed if Global Targets Are to Be Met. 2018. Available online: http://www.who.int/mental_health/evidence/atlas/atlas_2017_web_note/en/ (accessed on 12 June 2018).
  7. Marchand, A.; Durand, P.; Haines, V.; Harvey, S. The multilevel determinants of workers’ mental health: Results from the SALVEO study. Soc. Psychiatry Psychiatr. Epidemiol. 2015, 50, 445–459. [Google Scholar] [CrossRef]
  8. Harvey, S.B.; Modini, M.; Joyce, S.; Milligan-Saville, J.S.; Tan, L.; Mykletun, A.; Bryant, R.A.; Christensen, H.; Mitchell, P.B. Can work make you mentally ill? A systematic meta-review of work-related risk factors for common mental health problems. Occup. Environ. Med. 2017, 74, 301–310. [Google Scholar] [CrossRef]
  9. Beauregard, N.; Marchand, A.; Blanc, M.-E. What do we know about the non-work determinants of workers’ mental health? A systematic review of longitudinal studies. BMC Public Health 2011, 11, 439. [Google Scholar] [CrossRef]
  10. Hannan, E.; Breslin, N.; Doherty, E.; McGreal, M.; Moneley, D.; Offiah, G. Burnout and stress amongst interns in Irish hospitals: Contributing factors and potential solutions. Ir. J. Med. Sci. 2018, 187, 301–307. [Google Scholar] [CrossRef]
  11. Qiao, Z.; Chen, L.; Chen, M.; Guan, M.; Wang, L.; Jiao, Y.; Yang, J.; Tang, Q.; Han, D.; Ma, J.; et al. Prevalence and factors associated with occupational burnout among HIV/AIDS healthcare workers in China: A cross-sectional study. BMC Public Health 2016, 16, 335. [Google Scholar] [CrossRef]
  12. Shanafelt, T.D.; Boone, S.; Tan, L.; Dyrbye, L.N.; Sotile, W.; Satele, D.; West, C.P.; Sloan, J.; Oreskovich, M.R. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch. Intern. Med. 2012, 172, 1377–1385. [Google Scholar] [CrossRef]
  13. Shanafelt, T.D.; Hasan, O.; Dyrbye, L.N.; Sinsky, C.; Satele, D.; Sloan, J.; West, C.P. Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014. Mayo Clin. Proc. 2015, 90, 1600–1613. [Google Scholar] [CrossRef]
  14. Zhou, C.; Shi, L.; Gao, L.; Liu, W.; Chen, Z.; Tong, X.; Xu, W.; Peng, B.; Zhao, Y.; Fan, L. Determinate factors of mental health status in Chinese medical staff. Medicine (Baltimore) 2018, 97. [Google Scholar] [CrossRef]
  15. Shanafelt, T.D.; West, C.P.; Sloan, J.A.; Novotny, P.J.; Poland, G.A.; Menaker, R.; Rummans, T.A.; Dyrbye, T.A. Career fit and burnout among academic faculty. Arch. Intern. Med. 2009, 169, 990–995. [Google Scholar] [CrossRef]
  16. Shanafelt, T.D.; Mungo, M.; Schmitgen, J.; Storz, K.A.; Reeves, D.; Hayes, S.N.; Sloan, J.A.; Swensen, S.J.; Buskirk, S.J. Longitudinal study evaluating the association between physician burnout and changes in professional work effort. Mayo Clin. Proc. 2016, 91, 422–431. [Google Scholar] [CrossRef]
  17. Anderson, J.C.; Pfeil, S.; Surawicz, C. Strategies to combat physician burnout in gastroenterology. Am. J. Gastroenterol. 2017, 112, 1356–1359. [Google Scholar] [CrossRef]
  18. Van Ham, I.; Verhoeven, A.A.H.; Groenier, K.H.; Groothoff, J.W.; De Haan, J. Job satisfaction among general practitioners: A systematic literature review. Eur. J. Gen. Pract. 2006, 12, 174–180. [Google Scholar] [CrossRef]
  19. Groenewegen, P.P.; Hutten, J.B. Workload and job satisfaction among general practitioners: A review of the literature. Soc. Sci. Med. 1991, 32, 1111–1119. [Google Scholar] [CrossRef] [Green Version]
  20. Laubach, W.; Fischbeck, S. Job satisfaction and the work situation of physicians: A survey at a German university hospital. Int. J. Public Health 2007, 52, 54–59. [Google Scholar] [CrossRef]
  21. Adriaenssens, J.; De Gucht, V.; Maes, S. Causes and consequences of occupational stress in emergency nurses, a longitudinal study. J. Nurs. Manag. 2015, 23, 346–358. [Google Scholar] [CrossRef]
  22. Dyrbye, L.N.; Eacker, A.; Durning, S.J.; Brazeau, C.; Moutier, C.; Massie, F.S.; Satele, D.; Sloan, J.A.; Shanafelt, T.D. The impact of stigma and personal experiences on the help-seeking behaviors of medical students with burnout. Acad. Med. 2015, 90, 961. [Google Scholar] [CrossRef]
  23. Hall, B.J.; Xiong, P.; Chang, K.; Yin, M.; Sui, X. Prevalence of medical workplace violence and the shortage of secondary and tertiary interventions among healthcare workers in China. J. Epidemiol. Community Health 2018, 72, 516–518. [Google Scholar] [CrossRef]
  24. Yang, B.X.; Stone, T.E.; Petrini, M.A.; Morris, D.L. Incidence, Type, Related Factors, and Effect of Workplace Violence on Mental Health Nurses: A Cross-sectional Survey. Arch. Psychiatr. Nurs. 2018, 32, 31–38. [Google Scholar] [CrossRef]
  25. Panagioti, M.; Geraghty, K.; Johnson, J.; Zhou, A.; Panagopoulou, E.; Chew-Graham, C.; Peters, D.; Hodkinson, A.; Riley, R.; Esmail, A. Association Between Physician Burnout and Patient Safety, Professionalism, and Patient Satisfaction: A Systematic Review and Meta-analysis. JAMA Intern. Med. 2018, 178, 1317–1331. [Google Scholar] [CrossRef]
  26. Fahrenkopf, A.M.; Sectish, T.C.; Barger, L.K.; Sharek, P.J.; Lewin, D.; Chiang, V.W.; Edwards, S.; Wiedermann, B.L.; Landrigan, C.P. Rates of medication errors among depressed and burnt out residents: Prospective cohort study. BMJ 2008, 336, 488–491. [Google Scholar] [CrossRef]
  27. Tawfik, D.S.; Profit, J.; Morgenthaler, T.I.; Satele, D.V.; Sinsky, C.A.; Dyrbye, L.N.; Tutty, M.A.; West, C.P.; Shanafelt, T.D. Physician Burnout, Well-being, and Work Unit Safety Grades in Relationship to Reported Medical Errors. Mayo Clin. Proc. 2018, 93, 1571–1580. [Google Scholar] [CrossRef]
  28. Nantsupawat, A.; Nantsupawat, R.; Kunaviktikul, W.; Turale, S.; Poghosyan, L. Nurse burnout, nurse-reported quality of care, and patient outcomes in Thai hospitals. J. Nurs. Scholarsh. 2016, 48, 83–90. [Google Scholar] [CrossRef]
  29. Vahey, D.C.; Aiken, L.H.; Sloane, D.M.; Clarke, S.P.; Vargas, D. Nurse Burnout and Patient Satisfaction. Med. Care 2004, 42, II57–II66. [Google Scholar] [CrossRef]
  30. Spence Laschinger, H.K.; Leiter, M.P. The Impact of Nursing Work Environments on Patient Safety Outcomes: The Mediating Role of Burnout Engagement. JONA J. Nurs. Adm. 2006, 36, 259. [Google Scholar] [CrossRef]
  31. Sinsky, C.A.; Dyrbye, L.N.; West, C.P.; Satele, D.; Tutty, M.; Shanafelt, T.D. Professional Satisfaction and the Career Plans of US Physicians. Mayo Clin. Proc. 2017, 92, 1625–1635. [Google Scholar] [CrossRef]
  32. Han, S.; Shanafelt, T.D.; Sinsky, C.A.; Awad, K.M.; Dyrbye, L.N.; Fiscus, L.C.; Trockel, M.; Goh, J. Estimating the Attributable Cost of Physician Burnout in the United StatesCost of Physician Burnout. Ann. Intern. Med. 2019. [Google Scholar] [CrossRef]
  33. WHO. Mental Health: A State of Well-Being. 2014. Available online: http://www.who.int/features/factfiles/mental_health/en/ (accessed on 10 Janurary 2018).
  34. WHO. Mental Health Atlas 2017; World Health Organization: Geneva, Switzerland, 2018. [Google Scholar]
  35. de Neve, J.-E. Chapter 5: Work and Well-being: A Global Perspective. In Global Happiness Policy Report; Sustainable Development Solutions Network: New York, NY, USA, 2018. [Google Scholar]
  36. Ruotsalainen, J.H.; Verbeek, J.H.; Mariné, A.; Serra, C. Preventing occupational stress in healthcare workers. In Cochrane Database of Systematic Reviews; John Wiley & Sons, Ltd.: Hoboken, NJ, USA, 2015. [Google Scholar]
  37. Pawson, R.; Greenhalgh, T.; Harvey, G.; Walshe, K. Realist review—A new method of systematic review designed for complex policy interventions. J. Health Serv. Res. Policy 2005, 10, 21–34. [Google Scholar] [CrossRef]
  38. Nielsen, K.; Taris, T.W.; Cox, T. The future of organizational interventions: Addressing the challenges of today’s organizations. Work Stress 2010, 24, 219–233. [Google Scholar] [CrossRef]
  39. Carrieri, D.; Briscoe, S.; Jackson, M.; Mattick, K.; Papoutsi, C.; Pearson, M.; Wong, G. ‘Care Under Pressure’: A realist review of interventions to tackle doctors’ mental ill-health and its impacts on the clinical workforce and patient care. BMJ Open 2018, 8, e021273. [Google Scholar] [CrossRef]
  40. Ali, N.A.; Wolf, K.M.; Hammersley, J.; Hoffmann, S.P.; O’Brien, J.M.; Phillips, G.S.; Rashkin, M.; Warren, E.; Garland, A. Continuity of care in intensive care units. Am. J. Respir. Crit. Care Med. 2011, 184, 803–808. [Google Scholar] [CrossRef]
  41. Arnetz, J.E.; Hasson, H. Evaluation of an educational “toolbox” for improving nursing staff competence and psychosocial work environment in elderly care: results of a prospective, non-randomized controlled intervention. Int. J. Nurs. Stud. 2007, 44, 723–735. [Google Scholar] [CrossRef]
  42. Aust, B.; Rugulies, R.; Finken, A.; Jensen, C. When workplace interventions lead to negative effects: Learning from failures. Scand. J. Public Health 2010, 38, 106–119. [Google Scholar] [CrossRef]
  43. Bourbonnais, R.; Brisson, C.; Vinet, A.; Vezina, M.; Abdous, B.; Gaudet, M. Effectiveness of a participative intervention on psychosocial work factors to prevent mental health problems in a hospital setting. Occup. Environ. Med. 2006, 63, 335–342. [Google Scholar] [CrossRef]
  44. Bourbonnais, R.; Brisson, C.; Vezina, M. Long-term effects of an intervention on psychosocial work factors among healthcare professionals in a hospital setting. Occup. Environ. Med. 2011, 68, 479–486. [Google Scholar] [CrossRef]
  45. Bryan, Y.E.; Hitchings, K.S.; Fox, M.A.; Kinneman, M.T.; Young, M.J. The evaluation of hospital restructuring efforts: Satisfaction, quality, and costs. Qual. Manag. Health Care 1998, 6, 22–34. [Google Scholar] [CrossRef]
  46. Bunce, D.; MA, W. Stress management and innovation interventions at work. Hum. Relat. 1996, 49, 209–232. [Google Scholar] [CrossRef]
  47. Carson, J.; Cavagin, J.; Bunclark, J.; Maal, S.; Gournay, K.; Kuipers, E.; Holloway, F.; West, M. Effective communication in mental health nurses: Did social support save the psychiatric nurse? NT Res. 1999, 4, 31–42. [Google Scholar] [CrossRef]
  48. Doran, D.; Jeffs, L.; Rizk, P.; Laporte, D.R.; Chilcote, A.M.; Bai, Y.Q. Evaluating the late career nurse initiative: a cross-sectional survey of senior nurses in Ontario. J. Nurs. Manag. 2015, 23, 859–867. [Google Scholar] [CrossRef]
  49. Ewers, P.; Bradshaw, T.; McGovern, J.; Ewers, B. Does training in psychosocial interventions reduce burnout rates in forensic nurses? J. Adv. Nurs. 2002, 37, 470–476. [Google Scholar] [CrossRef]
  50. Finnema, E.; Dröes, R.-M.; Ettema, T.; Ooms, M.; Adèr, H.; Ribbe, M.; van Tilburg, W. The effect of integrated emotion-oriented care versus usual care on elderly persons with dementia in the nursing home and on nursing assistants: a randomized clinical trial. Int. J. Geriat. Psychiatry 2005, 20, 330–343. [Google Scholar] [CrossRef]
  51. Ghazavi, Z.; Lohrasbi, F.; Mehrabi, T. Effect of communication skill training using group psychoeducation method on the stress level of psychiatry ward nurses. Iran J. Nurs. Midwifery Res. 2010, 15, 395–400. [Google Scholar]
  52. Gregory, S.T.; Menser, T.; Gregory, B.T. An Organizational Intervention to Reduce Physician Burnout. J. Healthc. Manag. 2018, 63, 338–352. [Google Scholar] [CrossRef]
  53. Günüşen, N.P.; Üstün, B. An RCT of coping and support groups to reduce burnout among nurses. Int. Nurs. Rev. 2010, 57, 485–492. [Google Scholar] [CrossRef]
  54. Häggström, E.; Skovdahl, K.; Fläckman, B.; AL, K.; Kihlgren, M. Work satisfaction and dissatisfaction—Caregivers’ experiences after a two-year intervention in a newly opened nursing home. J. Clin. Nurs. 2005, 14, 9–19. [Google Scholar] [CrossRef]
  55. Hall, L.M.; Doran, D.; Pink, L.; LM, H.; Doran, D.; Pink, L. Outcomes of interventions to improve hospital nursing work environments. J. Nurs. Adm. 2008, 38, 40–46. [Google Scholar] [CrossRef]
  56. Heaney, C.A.; Price, R.H.; Rafferty, J. Increasing coping resources at work: A field experiment to increase social support, improve work team functioning, and enhance employee mental health. J. Organ. Behav. 1995, 16, 335–352. [Google Scholar] [CrossRef]
  57. Hyman, R.B. Evaluation of an intervention for staff in a long-term care facility using a retrospective pretest design. Eval. Health Prof. 1993, 16, 212–224. [Google Scholar] [CrossRef]
  58. Jeon, Y.-H.; Simpson, J.M.; Li, Z.; Cunich, M.M.; Thomas, T.H.; Chenoweth, L.; Kendig, H.L. Cluster Randomized Controlled Trial of an Aged Care Specific Leadership and Management Program to Improve Work Environment, Staff Turnover, and Care Quality. J. Am. Med Dir. Assoc. 2015, 16, 629.e19–629.e28. [Google Scholar] [CrossRef]
  59. Joyce, T.; Higgins, I.; Magin, P.; Goode, S.; Pond, D.; Stone, T.; Elsom, S.; O’Neill, K. Nurses’ perceptions of a mental health education programme for Australian nurses. Int. J. Ment. Health Nurs. 2011, 20, 247–252. [Google Scholar] [CrossRef]
  60. Kapoor, S.; Morgan, C.K.; Siddique, M.A.; Guntupalli, K.K. “Sacred Pause” in the ICU: Evaluation of a Ritual and Intervention to Lower Distress and Burnout. Am. J. Hosp. Palliat. Med. 2018, 35, 1337–1341. [Google Scholar] [CrossRef]
  61. Koivu, A.; Saarinen, P.I.; Hyrkas, K. Does clinical supervision promote medical-surgical nurses’ well-being at work? A quasi-experimental 4-year follow-up study. J. Nurs. Manag. 2012, 20, 401–413. [Google Scholar] [CrossRef]
  62. Lavoie-Tremblay, M.; Bourbonnais, R.; Viens, C.; Vezina, M.; Durand, P.J.; Rochette, L. Improving the psychosocial work environment. J. Adv. Nurs. 2005, 49, 655–664. [Google Scholar] [CrossRef]
  63. Le Blanc, P.M.; Hox, J.J.; Schaufeli, W.B.; Taris, T.W.; Peeters, M.C.W. Take care! The evaluation of a team-based burnout intervention program for oncology care providers. J. Appl. Psychol. 2007, 92, 213–227. [Google Scholar] [CrossRef]
  64. Ledikwe, J.H.; Kleinman, N.J.; Mpho, M.; Mothibedi, H.; Mawandia, S.; Semo, B.-W.; O’Malley, G. Associations between healthcare worker participation in workplace wellness activities and job satisfaction, occupational stress and burnout: A cross-sectional study in Botswana. BMJ Open 2018, 8, e018492. [Google Scholar] [CrossRef]
  65. Leiter, M.P.; Laschinger, H.K.; Day, A.; Oore, D.G. The impact of civility interventions on employee social behavior, distress, and attitudes. J. Appl. Psychol. 2011, 96, 1258–1274. [Google Scholar] [CrossRef]
  66. Leiter, M.P.; Day, A.; Oore, D.G.; Spence Laschinger, H.K. Getting better and staying better: Assessing civility, incivility, distress, and job attitudes one year after a civility intervention. J. Occup. Health Psychol. 2012, 17, 425–434. [Google Scholar] [CrossRef]
  67. Gilin Oore, D.; Leblanc, D.; Day, A.; Leiter, M.P.; Spence Laschinger, H.; Price, S.L.; Latimer, M. When respect deteriorates: Incivility as a moderator of the stressor-strain relationship among hospital workers. J. Nurs. Manag. 2010, 18, 878–888. [Google Scholar] [CrossRef]
  68. Linzer, M.; Poplau, S.; Grossman, E.; Varkey, A.; Yale, S.; Williams, E.; Hicks, L.; Brown, R.L.; Wallock, J.; Kohnhorst, D.; et al. A Cluster randomized trial of interventions to improve work conditions and clinician burnout in primary care: Results from the healthy work place (HWP) study. J. Gen. Intern. Med. 2015, 30, 1105–1111. [Google Scholar] [CrossRef]
  69. Linzer, M.; Sinsky, C.A.; Poplau, S.; Brown, R.; Williams, E. In medical practice: Clinician satisfaction in the healthy work place trial. Health Aff. 2017, 36, 1808–1814. [Google Scholar] [CrossRef]
  70. Loiselle, C.G.; Gélinas, C.; Cassoff, J.; Boileau, J.; McVey, L. A pre–post evaluation of the Adler/Sheiner Programme (ASP): A nursing informational programme to support families and nurses in an intensive care unit (ICU). Intensive Crit. Care Nurs. 2012, 28, 32–40. [Google Scholar] [CrossRef]
  71. Lucas, B.P.; Trick, W.E.; Evans, A.T.; Mba, B.; Smith, J.; Das, K.; Clarke, P.; Varkey, A.; Mathew, S.; Weinstein, R.A. Effects of 2- vs 4-week attending physician inpatient rotations on unplanned patient revisits, evaluations by trainees, and attending physician burnout: a randomized trial. JAMA 2012, 308, 2199–2207. [Google Scholar] [CrossRef]
  72. McDonald, G.; Jackson, D.; Wilkes, L.; Vickers, M.H. A work-based educational intervention to support the development of personal resilience in nurses and midwives. Nurse Educ. Today 2012, 32, 378–384. [Google Scholar] [CrossRef]
  73. McDonald, G.; Jackson, D.; Wilkes, L.; Vickers, M.H. Personal resilience in nurses and midwives: Effects of a work-based educational intervention. Contemp. Nurse 2013, 45, 134–143. [Google Scholar] [CrossRef]
  74. Melchior, M.E.W.; Phihpsen, H.; Abu-Saad, H.H.; Halfens, R.J.G.; van de Berg, A.A.; Gassman, P. The effectiveness of primary nursing on burnout among psychiatric nurses in long-stay settings. J. Adv. Nurs. 1996, 24, 694–702. [Google Scholar] [CrossRef]
  75. Mikkelsen, A.; PO, S.; Landsbergis, P. The impact of a participatory organizational intervention on job stress in community health care institutions. Work Stress 2000, 14, 156–170. [Google Scholar] [CrossRef]
  76. Newman, C.; Patterson, K.; Clark, G. Evaluation of a support and challenge framework for nursing managers in correctional and forensic health. J. Nurs. Manag. 2015, 23, 118–127. [Google Scholar] [CrossRef]
  77. Odle-Dusseau, H.N.; Hammer, L.B.; Crain, T.L.; Bodner, T.E. The influence of family-supportive supervisor training on employee job performance and attitudes: An organizational work-family intervention. J. Occup. Health Psychol. 2016, 21, 296–308. [Google Scholar] [CrossRef]
  78. Parsons, M. Capacity building for magnetism at multiple levels: A healthy workplace intervention, part I. Top. Emerg. Med. 2004, 26, 287–295. [Google Scholar]
  79. Peterson, U.; Bergstrom, G.; Samuelsson, M.; Asberg, M.; Nygren, A. Reflecting peer-support groups in the prevention of stress and burnout: randomized controlled trial. J. Adv. Nurs. 2008, 63, 506–516. [Google Scholar] [CrossRef] [Green Version]
  80. Petterson, I.L.; Arnetz, B.B. Psychosocial stressors and well-being in health care workers. The impact of an intervention program. Soc. Sci. Med. 1998, 47, 1763–1772. [Google Scholar] [CrossRef]
  81. Petterson, I.L.; Donnersvärd, H.Å.; Lagerström, M.; Toomingas, A. Evaluation of an intervention programme based on empowerment for eldercare nursing staff. Work Stress 2006, 20, 353–369. [Google Scholar] [CrossRef]
  82. Proctor, R.; Stratton-Powell, H.; Tarrier, N.; Burns, A. The impact of training and support on stressamong care staff in nursing and residential homesfor the elderly. J. Ment. Health 1998, 7, 59–70. [Google Scholar]
  83. Quenot, J.P.; Rigaud, J.P.; Prin, S.; Barbar, S.; Pavon, A.; Hamet, M.; Jacquiot, N.; Blettery, B.; Herve, C.; Charles, P.E.; et al. Suffering among carers working in critical care can be reduced by an intensive communication strategy on end-of-life practices. Intensive Care Med. 2012, 38, 55–61. [Google Scholar] [CrossRef]
  84. Razavi, D.; Delvaux, N.; Marchal, S.; Bredart, A.; Farvacques, C.; Paesmans, M. The effects of a 24-h psychological training program on attitudes, communication skills and occupational stress in oncology: A randomised study. Eur. J. Cancer 1993, 29, 1858–1863. [Google Scholar] [CrossRef]
  85. Redhead, K.; Bradshaw, T.; Braynion, P.; Doyle, M. An evaluation of the outcomes of psychosocial intervention training for qualified and unqualified nursing staff working in a low-secure mental health unit. J. Psychiatr. Ment. Health Nurs. 2011, 18, 59–66. [Google Scholar] [CrossRef]
  86. Richter, A.; Kostova, P.; Baur, X.; Wegner, R. Less work: More burnout? A comparison of working conditions and the risk of burnout by German physicians before and after the implementation of the EU Working Time Directive. Int. Arch. Occup. Environ. Health 2014, 87, 205–215. [Google Scholar] [CrossRef]
  87. Rickard, G.; Lenthall, S.; Dollard, M.; Opie, T.; Knight, S.; Dunn, S.; Wakerman, J.; MacLeod, M.; Seller, J.; Brewster-Webb, D. Organisational intervention to reduce occupational stress and turnover in hospital nurses in the Northern Territory, Australia. Collegian 2012, 19, 211–221. [Google Scholar] [CrossRef]
  88. Romig, M.C.; Latif, A.; Gill, R.S.; Pronovost, P.J.; Sapirstein, A. Perceived benefit of a telemedicine consultative service in a highly staffed intensive care unit. J. Crit. Care 2012, 27, 426.e9–426.e16. [Google Scholar] [CrossRef]
  89. Saint-Louis, N.M.; Bourjolly, J.N. Narrative intervention: Stories from the front lines of oncology health care. Soc. Work Health Care 2018, 57, 637–655. [Google Scholar] [CrossRef]
  90. Schrijnemaekers, V.J.J.; van Rossum, E.; Candel, M.J.J.M.; Frederiks, C.M.A.; Derix, M.M.A.; Sielhorst, H.; van den Brandt, P.A. Effects of emotion-oriented care on work-related outcomes of professional caregivers in homes for elderly persons. J. Gerontol. B Psychol. Sci. Soc. Sci. 2003, 58, S50–S57. [Google Scholar] [CrossRef]
  91. Sexton, J.B.; Sharek, P.J.; Thomas, E.J.; Gould, J.B.; Nisbet, C.C.; Amspoker, A.B.; Kowalkowski, M.A.; Schwendimann, R.; Profit, J. Exposure to Leadership WalkRounds in neonatal intensive care units is associated with a better patient safety culture and less caregiver burnout. BMJ Qual. Saf. 2014, 23, 814–822. [Google Scholar] [CrossRef]
  92. Spetz, J. Nurse satisfaction and the implementation of minimum nurse staffing regulations. Policy Polit. Nurs. Pract. 2008, 9, 15–21. [Google Scholar] [CrossRef]
  93. Takizawa, T.; Takahashi, M.; Takai, M.; Ikeda, T.; Miyaoka, H. Changes in job stress and coping skills among caregivers after dementia care practitioner training. Psychogeriatrics 2017, 17, 52–60. [Google Scholar] [CrossRef]
  94. Traeger, L.; Park, E.R.; Sporn, N.; Repper-DeLisi, J.; Convery, M.S.; Jacobo, M.; Pirl, W.F. Development and evaluation of targeted psychological skills training for oncology nurses in managing stressful patient and family encounters. Oncol. Nurs. Forum 2013, 40, E327–E336. [Google Scholar] [CrossRef]
  95. Uchiyama, A.; Odagiri, Y.; Ohya, Y.; Takamiya, T.; Inoue, S.; Shimomitsu, T. Effect on mental health of a participatory intervention to improve psychosocial work environment: A cluster randomized controlled trial among nurses. J. Occup. Health 2013, 55, 173–183. [Google Scholar] [CrossRef]
  96. Van Bogaert, P.; Van heusden, D.; Somers, A.; Tegenbos, M.; Wouters, K.; Van der Straeten, J.; Van Aken, P.; Havens, D.S. The productive ward programTM. J. Nurs. Adm. 2014, 44, 452–461. [Google Scholar] [CrossRef]
  97. Wallbank, S. Effectiveness of individual clinical supervision for midwives and doctors in stress reduction: findings from a pilot study. Evid. Based Midwifery 2010, 8, 65–70. [Google Scholar]
  98. Wei, R.; Ji, H.; Li, J.; Zhang, L. Active intervention can decrease burnout in Ed nurses. J. Emerg. Nurs. 2017, 43, 145–149. [Google Scholar] [CrossRef]
  99. Yamagishi, M.; Kobayashi, T.; Kobayashi, T.; Nagami, M.; Shimazu, A.; Kageyama, T. Effect of web-based assertion training for stress management of Japanese nurses. J. Nurs. Manag. 2007, 15, 603–607. [Google Scholar] [CrossRef]
  100. World Bank Country and Lending Groups—World Bank Data Help Desk. Available online: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519 (accessed on 17 April 2019).
  101. Lee, R.T.; Ashforth, B.E. On the meaning of Maslach’s three dimensions of burnout. J. Appl. Psychol. 1990, 75, 743–747. [Google Scholar] [CrossRef]
  102. Wong, G.; Greenhalgh, T.; Westhorp, G.; Buckingham, J.; Pawson, R. RAMESES publication standards: Realist syntheses. BMC Med. 2013, 11, 21. [Google Scholar] [CrossRef]
  103. LaMontagne, A.D.; Martin, A.; Page, K.M.; Reavley, N.J.; Noblet, A.J.; Milner, A.J.; Keegel, T.; Smith, P.M. Workplace mental health: Developing an integrated intervention approach. BMC Psychiatry 2014, 14, 131. [Google Scholar] [CrossRef]
  104. Harden, A.; Peersman, G.; Oliver, S.; Mauthner, M.; Oakley, A. A systematic review of the effectiveness of health promotion interventions in the workplace. Occup. Med. 1999, 49, 540–548. [Google Scholar] [CrossRef] [Green Version]
  105. LaMontagne, A.D.; Noblet, A.J.; Landsbergis, P.A. Intervention development and implementation: Understanding and addressing barriers to organizational-level interventions. In Improving Organizational Interventions for Stress and Well-Being: Addressing Process and Context; Routledge/Taylor & Francis Group: New York, NY, USA, 2012; pp. 21–38. [Google Scholar]
  106. Dollard, M.F.; Bakker, A.B. Psychosocial safety climate as a precursor to conducive work environments, psychological health problems, and employee engagement. J. Occup. Organ. Psychol. 2010, 83, 579–599. [Google Scholar] [CrossRef] [Green Version]
  107. Hall, G.B.; Dollard, M.F.; Coward, J. Psychosocial safety climate: Development of the PSC-12. Int. J. Stress Manag. 2010, 17, 353–383. [Google Scholar] [CrossRef]
  108. Kent, K.; Goetzel, R.Z.; Roemer, E.C.; Prasad, A.; Freundlich, N. Promoting Healthy Workplaces by Building Cultures of Health and Applying Strategic Communications. J. Occup. Environ. Med. 2016, 58, 114–122. [Google Scholar] [CrossRef] [Green Version]
  109. Rongen, A.; Robroek, S.J.W.; van Lenthe, F.J.; Burdorf, A. Workplace Health Promotion: A Meta-Analysis of Effectiveness. Am. J. Prev. Med. 2013, 44, 406–415. [Google Scholar] [CrossRef]
  110. Campbell, N.C.; Murray, E.; Darbyshire, J.; Emery, J.; Farmer, A.; Griffiths, F.; Guthrie, B.; Lester, H.; Wilson, P. Kinmonth, A.L. Designing and evaluating complex interventions to improve health care. BMJ 2007, 334, 455–459. [Google Scholar] [CrossRef]
  111. Schelvis, R.M.C.; Oude Hengel, K.M.; Burdorf, A.; Blatter, A.; Strijk, J.E.; van der Beek, A.J. Evaluation of occupational health interventions using a randomized controlled trial: Challenges and alternative research designs. Scand. J. Work Environ. Health 2015, 41, 491–503. [Google Scholar] [CrossRef]
  112. Wickström, G.; Bendix, T. The “Hawthorne effect”—What did the original Hawthorne studies actually show? Scand. J. Work Environ. Health 2000, 26, 363–367. [Google Scholar] [CrossRef]
  113. Bitz, J.; Howland, D.; Cornelissen, E.; Scheirer, M.A.; Saul, J.; Willis, C.D.; Bevan, H.; Best, A.; Mannion, R.; Jenkins, E.; et al. Sustaining organizational culture change in health systems. J. Health Organ. Manag. 2016, 30, 2–30. [Google Scholar] [CrossRef] [Green Version]
  114. Selamu, M.; Thornicroft, G.; Fekadu, A.; Hanlon, C. Conceptualisation of job-related wellbeing, stress and burnout among healthcare workers in rural Ethiopia: A qualitative study. BMC Health Serv. Res. 2017, 17. [Google Scholar] [CrossRef]
  115. Diener, E. Well-Being for Public Policy; Oxford University Press: Oxford, UK, 2009. [Google Scholar]
  116. Helliwell, J.F.; Barrington-Leigh, C.P. Viewpoint: Measuring and understanding subjective well-being. Can. J. Econ. /Rev. Can. Écon. 2010, 43, 729–753. [Google Scholar] [CrossRef]
  117. Lyubomirsky, S.; King, L.; Diener, E. The Benefits of Frequent Positive Affect: Does Happiness Lead to Success? Psychol. Bull. 2005, 131, 803–855. [Google Scholar] [CrossRef]
  118. OECD. Guidelines on Measuring Subjective Well-Being; OECD Publishing: Paris, France, 2013. [Google Scholar]
  119. Helliwell, J.F.; Wang, S. Weekends and subjective well-being. Soc. Indic. Res. 2014, 116, 389–407. [Google Scholar] [CrossRef]
  120. Sustainable Development Solutions Network. World Happiness Report 2018; Sustainable Development Solutions Network: New York, NY, USA, 2018. [Google Scholar]
  121. Kakuma, R.; Kleintjes, S.; Lund, C.; Drew, N.; Green, A.; Filsher, A.J. Mental health stigma: What is being done to raise awareness and reduce stigma in South Africa? Afr. J. Psychiatry (Johannesbg) 2010, 13, 116–124. [Google Scholar] [CrossRef]
  122. Clement, S.; Schauman, O.; Graham, T.; Maggioni, F.; Evans-Lacko, S.; Bezborodovs, N.; Morgan, C.; Rusch, N.; Brown, J.S.L.; Thornicroft, G. What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies. Psychol. Med. 2015, 45, 11–27. [Google Scholar] [CrossRef]
  123. Evans-Lacko, S.; Clement, S.; Corker, E.; Brohan, E.; Dockery, L.; Farrelly, S.; Hamilton, S.; Pinfold, V.; Rose, D.; Henderson, C.; et al. How much does mental health discrimination cost: Valuing experienced discrimination in relation to healthcare care costs and community participation. Epidemiol. Psychiatr. Sci. 2015, 24, 423–434. [Google Scholar] [CrossRef]
  124. van Brakel, W.H.; Cataldo, J.; Grover, S.; Kohrt, B.A.; Nyblade, L.; Stockton, M.; Wouters, E.; Yang, L.H. Out of the silos: Identifying cross-cutting features of health-related stigma to advance measurement and intervention. BMC Med. 2019, 17, 13. [Google Scholar] [CrossRef]
  125. Kane, J.C.; Elafros, M.A.; Murray, S.M.; Mitchell, E.M.H.; Augustinavicius, J.L.; Causevic, S.; Baral, S.D. A scoping review of health-related stigma outcomes for high-burden diseases in low- and middle-income countries. BMC Med. 2019, 17, 17. [Google Scholar] [CrossRef]
  126. Yassi, A.; Lockhart, K.; Sykes, M.; Buck, B.; Stime, B.; Spiegel, J.M. Effectiveness of joint health and safety committees: A realist review. Am. J. Ind. Med. 2013, 56, 424–438. [Google Scholar] [CrossRef]
Figure 1. Flow diagram of search and selection process.
Figure 1. Flow diagram of search and selection process.
Ijerph 16 04396 g001
Table 1. Summary of the inclusion and exclusion criteria.
Table 1. Summary of the inclusion and exclusion criteria.
Study CharacteristicInclusion CriteriaExclusion Criteria
Population
  • Healthcare workers (e.g., physicians, nurses, allied health professionals, etc.)
  • Medical or other health professional students or trainees (e.g., medical residents)
  • Patients
  • Family caregivers
  • Veterinarians
Intervention
  • To promote mental health, defined broadly as both presence/absence of mental illness such as stress or anxiety, as well as positive concepts of mental health such as quality of life and life and/or job satisfaction
  • Studies on healthcare workers’ perceptions of interventions and/or programs generally (i.e., no specific intervention implemented)
  • Interventions to reduce factors that may impact mental health such as workplace violence or bullying
  • Interventions to reduce substance use
  • Interventions to reduce mental health-related stigma
  • Evaluation of return to work programs
  • Tertiary interventions (e.g., clinical treatment of depression or other mental health condition; return to work programs for employees on sick leave due to depression)
Context
  • Interventions delivered in the workplace at the organizational level
  • Interventions delivered outside the workplace
Outcome
  • At least one measure of mental health (illness or wellness)
  • Studies with measures of work environment factors only (e.g., communication and collaboration among employees)
Study Design
  • Longitudinal observational study designs, including retrospective and prospective studies
  • Experimental study designs, including randomized control trials and cluster randomized control trials
  • Qualitative study designs
  • Pilot studies
  • Models (theoretical or statistical) on ways to improve mental health
Publication
  • Published in a peer-reviewed journal
  • Published since database inception (i.e., no minimum publication date)
  • Reviews, study protocols, editorials, letters to the editor, commentaries, theses or dissertations
  • Grey literature
Table 2. Summary of studies.
Table 2. Summary of studies.
CitationReference number#CountryType of Health Worker WorkplaceMeasure(s) of Mental Health
Ali et al. (2011)[40]United StatesPhysiciansHospitalburnout, stress, work–home life imbalance
Arnetz and Hasson (2007)[41]SwedenNursesElder care organizationspsychosocial work environment
Aust et al. (2010)[42]DenmarkMixedHospitalpsychosocial work environment
Bourbonnais et al. (2006 and 2011)[43,44]CanadaMixedHospitalpsychosocial work factors, psychological distress, burnout, sleeping problems
Bryan et al. (1998)[45]United StatesNursesHospitaljob satisfaction
Bunce and West (1996)[46]United KingdomMixedMixedjob motivation, job satisfaction, psychological strain, job-induced tension
Carson et al. (1999)[47]United KingdomNursesHospitaloccupational stressors, psychological distress, burnout
Doran et al. (2015)[48]CanadaNursesMixedwork environment, organizational commitment and job satisfaction, burnout
Ewers et al. (2002)[49]United KingdomNursesMental Health Unitburnout
Finnema et al. (2005)[50]The NetherlandsNursesNursing homestress, stress reactions, work satisfaction, absenteeism
Ghazavi et al. (2010)[51]IranNursesHospitaloccupational stress
Gregory et al. (2018)[52]United StatesPhysiciansPrimary care clinicsburnout
Gunusen and Ustun (2010)[53]TurkeyNursesHospitalburnout
Haggstrom et al. (2005)[54]SwedenNursesNursing homework satisfaction and dissatisfaction
Hall et al. (2008)[55]CanadaNursesHospitalsatisfaction, stress, work environment, role tension
Heaney et al. (1995)[56]United StatesCare staff and managersResidential care facilitysocial support, organizational climate for participation and influence in decision-making, employees’ confidence in ability to cope with common work problems, psychological wellbeing
Hyman (1993)[57]United StatesMixedResidential care facilityburnout, work atmosphere
Jeon et al. (2015)[58]AustraliaMixedResidential and community aged care siteswork environment, staff turnover, stress, absenteeism
Joyce et al. (2011)[59]AustraliaNursesHospital and community health settingsmental health literacy for peer support
Kapoor et al. (2018)[60]United StatesMixedHospitalburnout, grief, distress
Koivu et al. (2012)[61]FinlandNursesHospitalpsychological and social factors at work, burnout, psychological distress
Lavoie-Tremblay et al. (2005)[62]CanadaMixedHospitaldecision latitude, psychological demands, social support, effort/reward imbalance, reward, psychological distress, absenteeism
Le Blanc et al. (2007)[63]The NetherlandsMixedHospitalburnout, social support, participation in decision making, job control, job demands
Ledikwe et al. (2018)[64]BotswanaMixedPublic health facilitiesjob satisfaction, psychological wellbeing, burnout, stress
Leiter et al. (2011 and 2012); Oore et al. (2010)[65,66,67]CanadaMixedHospitalworkload, job control, incivility, respect, negative affect and anxiety
Linzer et al. (2015 and 2017)[68,69]United StatesPhysiciansPrimary care clinicswork control, stress, burnout, chaos, likelihood to leave
Loiselle et al. (2012)[70]CanadaNursesHospitalperformance obstacles, perceived work support, emotional distress
Lucas et al. (2012)[71]United StatesPhysiciansHospitalburnout, stress, workplace control
McDonald et al. (2012 and 2013)[72,73]AustraliaMixedHospitalpersonal resilience
Melchior et al. (1996)[74]The NetherlandsNursesHospitalburnout
Mikkelsen et al. (2000)[75]NorwayMixedCommunity health carework-related stress, subjective health, demands-control, social support, role harmony,
Newman et al. (2015)[76]AustraliaNursesCorrectional centers and forensic healthburnout, workplace satisfaction
Odle-Dusseau et al. (2016)[77]United StatesSupervisorsNursing homejob satisfaction, organizational commitment, turnover intentions, employee engagement, work-family conflict
Parsons et al. (2004)[78]United StatesNursesHospitalcontrol, work satisfaction, interactions, organizational commitment
Peterson et al. (2008)[79]SwedenMixedHospitalburnout, quantitative demands, anxiety, depression, general health
Petterson and Arnetz (1998)[80]SwedenMixedHospitaljob demands, work pressure, psychosomatic symptoms, exhaustion, job control, coping
Petterson et al. (2006)[81]SwedenNursesElder care organizationswork demands, job control, support, psychosomatic symptoms, stress, coping
Proctor et al. (1998)[82]United KingdomElder care staffNursing and residential homes (elder care)general health, occupational stress
Quenot et al. (2012)[83]FranceMixedHospitalburnout, depression
Razavi et al. (1993)[84]Belgium, FranceNursesHospitaloccupational stress, attitudes
Redhead et al. (2011)[85]United KingdomNursesInpatient care for mental health patientsburnout
Richter et al. (2014)[86]GermanyPhysiciansHospitalburnout, physical and mental health
Rickard et al. (2012)[87]AustraliaNursesHospitaloccupational stress, turnover
Romig et al. (2012)[88]United StatesNursesHospitalpsychological working conditions, burnout, relations and communications
Saint-Louis and Bourjolly (2018)[89]United StatesMixedOncology UnitN/A
Schrijnemaekers et al. (2003)[90]The NetherlandsElder care staffResidential care facilityjob satisfaction, burnout, sick leave
Sexton et al. (2014)[91]United StatesMixedNICUsburnout
Spetz (2008)[92]United StatesNursesHospitaljob satisfaction
Takizawa et al. (2017)[93]JapanMixedElder care organizationsjob stress, coping
Traeger et al. (2013)[94]United StatesMixedOncology Unitburnout, stress
Uchiyama et al. (2013)[95]JapanNursesHospitaldepression, psychosocial work environment
Van Bogaert et al. (2014)[96]BelgiumMixedHospitaljob satisfaction, burnout, intent to leave
Wallbank (2010)[97]United KingdomMixedHospitalburnout, compassion satisfaction, compassion fatigue, stress
Wei et al. (2017)[98]ChinaNursesHospitalburnout
Yamagishi et al. (2007)[99]JapanNursesHospitaljob stress, depression

Share and Cite

MDPI and ACS Style

Gray, P.; Senabe, S.; Naicker, N.; Kgalamono, S.; Yassi, A.; Spiegel, J.M. Workplace-Based Organizational Interventions Promoting Mental Health and Happiness among Healthcare Workers: A Realist Review. Int. J. Environ. Res. Public Health 2019, 16, 4396. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16224396

AMA Style

Gray P, Senabe S, Naicker N, Kgalamono S, Yassi A, Spiegel JM. Workplace-Based Organizational Interventions Promoting Mental Health and Happiness among Healthcare Workers: A Realist Review. International Journal of Environmental Research and Public Health. 2019; 16(22):4396. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16224396

Chicago/Turabian Style

Gray, Patricia, Sipho Senabe, Nisha Naicker, Spo Kgalamono, Annalee Yassi, and Jerry M. Spiegel. 2019. "Workplace-Based Organizational Interventions Promoting Mental Health and Happiness among Healthcare Workers: A Realist Review" International Journal of Environmental Research and Public Health 16, no. 22: 4396. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16224396

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop