| Literature DB >> 34878557 |
Suzanne Gm van Hees1, Bouwine E Carlier, Emma Vossen, Roland Wb Blonk, Shirley Oomens.
Abstract
OBJECTIVES: Common mental health problems (CMHP) represent a major health issue and burden to employees and employers. Under certain conditions work contributes to wellbeing and participation of employees with CMHP. Promoting work participation is important, however the specific conditions in which work participation occurs is complex and largely unclear. This calls for a novel, realistic approach to unravel the complex relationship between outcomes, context and underlying mechanisms of work participation.Entities:
Mesh:
Year: 2021 PMID: 34878557 PMCID: PMC9523465 DOI: 10.5271/sjweh.4005
Source DB: PubMed Journal: Scand J Work Environ Health ISSN: 0355-3140 Impact factor: 5.492
Inclusion and exclusion criteria.
| Inclusion criteria | Exclusion criteria |
|---|---|
| Primary outcome: stay at work, absence of absenteeism, continue working, being at work – subjects had to perform paid work, either part or fulltime. If recorded as sick, subjects had to work for ≥50% within the first 6 weeks after their first sick day. | Studies including a general population of workers, and their mental health or workers targeted in primary stress prevention (not providing subgroups with workers at risk). |
| Secondary outcome: work performance – such as, presenteeism, reduced or impaired work capacity, quality of work or workability. | Where subpopulations of employees with common mental health problems were not taken as subpopulation in the data analysis. |
| Employees having one or more common mental disorders, or employees having symptoms of mental health problems, who ‘struggle at work’, assessed with self-assessment tools. | All severe mental disorders and personality disorders. |
| If burnout score is based on the Maslach burnout inventory: only if they score on emotional exhaustion as outcome for work performance. | Study on sickness absence, and thus reporting on employees on sick leave rather than still at work. |
| Individuals aged 18–65 years. | Economic impact studies. |
| Geographical/economic scope at first: globally. | |
| Study design a primary research study and published in peer-reviewed journals, reporting randomized controlled trials, cohort, case-control or cross-sectional studies, or qualitative descriptive (case) studies. | |
| Published in English, from 1995 and onwards. |
Overview of the characteristics and design of the studies. [CMD=common mental disorder; MMAT=mixed methods appraisal tool; LCA=latent class analysis; Obs=observational; RCT=randomized controlled trial; Int=intervention; SAW=stay at work: WP=work performance]
| Author and reference | Type of study and study methodology | Number of participants | Study population (type of employees/sector) | Industry/ type of employees | MMAT score (H=rated as ‘high quality’; M=rated as ‘medium’) |
|---|---|---|---|---|---|
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| Arends et al 2019 ( | Obs: LCA | 158 | Dutch employees with CMD, mostly highly educated, who are in return to work trajectories | Various sectors | M: 3/5: no data on representativeness, low N for LCA |
| Birney et al 2016 ( | Int: parallel two group RCT | 300 | US employees with depression, mostly middle-aged, Caucasian, female, highly educated | Unknown, part-time, fulltime and self employed | H: 4/5 blocked on race/ethnicity |
| Chen et al 2011 ( | Obs: analytical cross-sectional study | 452 (controls) 226 (cases) | Taiwanese young workers with depressive disorder at psychiatric clinics | Micro electronics engineers | H: 5/5 |
| Daley et al 2009 ( | Obs: cross sectional descriptive | 308 patients | Canadian patients with symptoms of insomnia and 147 with insomnia syndrome, of whom 76.4% worked day shifts | Unknown | H: 5/5 |
| Danielsson et al 2017 ( | Obs: qualitative | 27 | Swedish workers, of various ages and job types, suffering from common mental disorders | Various sectors | H: 5/5 |
| Duijts et al 2008 ( | Int: RCT | 57 (int) 61(control) | Dutch employees in 3 companies, with psychosocial health complaints, who are still working in health and educational sector at risk of sickness absence | Health Education | H: 4/5 low adherence to intervention (49%) |
| Dunner et al 2001 ( | Int: before after studies | 816 | US patients with recurrent major depression who worked part-time or fulltime | Unknown | H: 5/5 |
| Ebert et al 2016 ( | Int: RCT | 63 | German employees with elevated stress levels, various sectors, mostly women and medium or high educated | Economy, service, social, IT, health, other | H: 5/5 |
| Evans-Lacko & Knapp 2018 ( | Obs: cross sectional survey | 2985 | Employees with self-reported depression from 15 different countries worldwide, mostly in Asian countries, from several sectors except marketing sector | Unknown, company size and working status varied | H: 4/5 Low response rate, representability of target population unclear |
| Hilton et al 2008 ( | Obs: cross sectional study | 60,556 | Employees in New Zealand and Australia working in large companies, high level of psychological distress | Large public and private sector employers | H: 4/5 low response rate, blue collar underrepresented |
| Jha et al 2016 ( | Int longitudinal study | 331 | US employed patients with nonpsychotic chronic or recurrent depression with current episode of more than 2 months | Unknown | M: 3/5 missing information about int., adherence and drop out |
| Johnson et al 2015 ( | Int: controlled trial, not randomized. | 40 of whom 20 in int. group | US working health care professionals, aged 18-65 years, who are at least 50% or higher employee status. With major depressive disorder, single episode or recurrent | Health care | H: 4/5: No sub group analysis or confounders due to small group of participants |
| Lerner et al 2010 ( | Obs: longitudinal cohort study | 286 | US employees with depression, despite occupational group, married, gender, recruited through primary health care centres | Various sectors | H: 4/5: incomplete outcome data |
| Lerner at al 2020 ( | Int: RCT | 253 | US veterans, with mild to moderate depression | Veterans | H: 5/5 |
| Plaisier et al 2010 ( | Obs, descriptive longitudinal | 1035 | Dutch workers with common mental health disorders | Unknown | H: 5/5 |
| Plaisier et al 2012 ( | Obs: cross sectional, descriptive | 1522 | Dutch workers who have an employer or who are self-employed (5%) with depression or anxiety disorder | Manual and non-manual jobs, self employed | H: 5/5 |
| Richmond et al 2017 ( | Int: prospective, quasi experimental design | 344 | US employees, mostly female (71%), white (87%) and non-Hispanic (81%), average education was 16 years, working for the government, with depression or anxiety | Diverse in human service providers | H: 4/5 incomplete outcome data |
| Ridge et al 2019 ( | Obs: Qualitative | 73 | 73 Australian and UK participants self-identified as having experienced depression | Professional or manual work | H: 4/5 quotes are rather general |
| Rost et al 2004 ( | Int: RCT | 198 | US employed patients with major depression, mostly female (84.4), high school educated (88.5%), mostly full time employed (80%) | Administrators, managers, sales people, services | H: 4/5 missing information on intended treatment and utilization |
| Sahlin et al 2014 ( | Int: before and after study | 33 | Swedish female health care workers suffering from high level of stress | Health care workers | H: Mixed method: 5/5 qual, 3/5 for quant: confounders not taken into account in analysis, not representative |
| Swanson et al 2011 ( | Obs: cross sectional survey | 367 | US workers with any sleep disorder, with shift work | White, grey, blue collar and shift workers | M: 3/5: low response rate, no validated questionnaire |
| Telle et al 2016 ( | Int: RCT one factorial design with two groups | 99 | German employees who subjectively felt mentally distress due to work-related issues, voluntary participation | 13 different private corporations and federal and public organizations | M: 3/5: incomplete outcome data and low adherence to intervention |
| Uribe et al 2017 ( | Obs: cross sectional | 107 | Colombian employees with major depression or double depression (N=107) | Unknown, employees part time, full time, self-employed | H: 5/5 |
| van den Berg et al 2017 ( | Obs: Cross sectional analytical | 661 | Dutch health care employees, mostly female and intermediate or high education, with a mental disorder | Health care workers | H: 5/5 |
| van Mill et al 2013 ( | Obs: epidemiologic cohort study | 707 CMD and 728 without | Dutch depressed or anxious individuals who work 8 hours or more | Unknown | H: 5/5 |
| Wang et al 2007 ( | Int: RCT | 604 of whom 304 in int. group | US employees with at least moderate depression, enrolled in a large managed behavioural health care company (insurance) | Diverse sectors: airline, insurance, banking, public utility, government, manufacturing | H: 5/5 |
| Woo et al 2011 ( | Int: controlled trial | 106 and 91 healthy controls | South Korean employees with major depressive disorder | Employees in highly industrialized areas | H: 4/5 incomplete outcome data |
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| Chakraborty & Subramanya 2013 ( | Comparison Obs | 43 | Indian, industrial employees who work in an urban aeronautical industry who experience stress | Urban industrial employees | M: 3/5 selection bias |
| Cocker et al 2011 ( | Obs: descriptive survey data | 320 | Australians with life time depression | Various sectors | H: 5/5 |
| Corbiere et al 2016 ( | Obs: qualitative | 22 | Canadian, mostly highly educated employees with symptoms of depression | Public, private and non-profit sector | H: 4/5 Recall bias, currently not working but during last 5 years |
| Hammond et al 2017 ( | Obs: qualitative | 6 | Clinical psychologists in Australia who run a solo private practice, who experienced burnout maximum 2 years ago | Health care: psychologists | H: 5/5 |
| Kawakami et al 1999 ( | Int: RCT | 81 in int, 77 in control group | Workers, mostly male, who are distressed and employed in Japan | Manufacturing company | M: 2/5: no information on randomization, no baseline comparison between groups, adherence unknown |
| Keus van de Poll et al 2020 ( | Int: RCT | 100 | Swedish, mostly government workers using occupational health services suffering from CMD or work stress | Mainly public service employees | H: 4/5 not representative study population |
| Kok et al 2017 ( | Obs: before and after study | 1222 | Dutch employees with an affective disorder | Unknown | H: 5/5 |
| Laitinen-Krispijn & Bijl 2000 ( | Obs: longitudinal study, follow up 1 year | 3695 | Dutch male employees with major depressive disorder, dysthymia, simple phobia and substance abuse/dependence | Unknown | M: 3/5: unclear outcome measure on duration of sick leave, few confounders |
| Leijten et al 2013 ( | Obs: longitudinal study | 354 | Older Dutch employees with psychological problems (not specified) | Unknown | H: 5/5 |
| Lexis et al 2009 ( | Obs: prospective cohort | 3339 | Dutch employees with depressive complaints, from various organizations and companies | Various sectors | H: 5/5 |
| Lexis et al 2011 ( | Int: RCT | 139 | Dutch employees with depressive complaints, from various organizations and companies | Office workers | H: 5/5 |
| Linden et al 2011 ( | Int: before after study | 44 outpatients | German employees, with generalized anxiety disorder in outpatient departments | Unknown | M: 3/5 missing info on representativeness and confounders |
| Mackenzie et al 2014 ( | Int: RCT | 93 | Australian workers with depression, generalizes anxiety disorder and social phobia | Unknown | M: 2/5: randomization not explained, loss to follow up |
| Noordik et al 2011 ( | Qualitative | 14 | 10 Dutch women and 4 men, aged 25–58 (mean age 38) years, partially returned to work | Various sectors incl. health care | H: 5/5 |
| O’Haire & Rodriguez 2018 ( | Int: non RCT | 141 in int., 75 control | US veterans working elsewhere and who were identified with PTSD after 9/11 | Veterans | H: 4/5: 24,7% of population is working |
| Sado et al 2014 ( | Obs: retrospective cohort | 194 | Japanese workers in a manufacturing company with repeated sick leave because of mental disorders | Manufacturing company | H: 5/5 |
| Virtanen et al 2007 ( | Obs: prospective study, | 6663 female, 1323 male | Finnish local government employees and health care employees in public services with psychological distress | Public sector employees | H: 5/5 |
| Vlasveld et al 2013 ( | Obs: cross sectional | 1425 | Dutch workers with psychopathology (anxiety or depressive disorder) | Unknown | H: 5/5 |
| Woodall et al 2017 ( | Qualitative: semi-structured interviews | 15 | UK current or former service users with mental health conditions | Unknown | H: 5/5 |
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| Adler et al 2006 ( | Obs: longitudinal | 286 | US patients with major depressive disorder (N=105) or dysthymia (N=72) or both (N=109) | Mostly women 1) managers, professionals, and technicians; 2) sales, service, and support; | H: 5/5 |
| Beck et al 2014 ( | Obs prospective cohort | 432 | US working patients, on routine depression treatment | Unknown | H: 4/5: work context not in analysis |
| Bertilsson et al 2013 ( | Obs qualitative | 17 | Swedish persons with CMD employed in regular job market, mainly women | Private and public sector | H: 4/5 late reflection on data |
| Danielsson et al 2020 ( | Int: pilot RCT | 147 | Swedish employees with CMD, mainly female, on work-directed rehabilitation | Various sectors | H: 5/5 |
| Furukawa et al 2012 ( | Int: RCT non-blinded | 108, of whom 58 in int. group | Japanese currently employed, mostly male, fulltime workers with minor depression at a large manufacturing company | Manufacturing company | H: 5/5 |
| Haslam et al 2005 ( | Obs: Qualitative | 74 | UK workers with personal experience of anxiety/depression in the previous 2 years and who are mostly (2/3) uncompliant with medication | Various sectors | H: 4/5 the interpretation of results insufficiently supported by data |
| Kim et al 2019 ( | Obs: cross sectional | 173 | South Korean workers with depression | Various sectors | H: 5/5 |
| Lam et al 2011 ( | Int: pilot study | 31 | Canadian health agency workers (predominantly women, above 40), with symptoms of depression, counselling is purchased by employer and self-referred to the EAP | Health care | M: 4/5: small pilot study, self-referred to intervention, no confounders in analysis |
| Lappalainen et al 2013 ( | Int: small scale RCT | 11 int and 12 in control (waiting list) | Finnish male workers with stress and mood problems | Unknown | M: 2/5: no information on randomization, self-assessed outcome, no blinding |
| Lindsater et al 2018 ( | Int: RCT | 50 int. 50 in control | Swedish employees (of whom 82% employed full time or part-time), with adjustment disorder or exhaustion disorder | National sample | H: 5/5 |
| Loukine et al 2016 ( | Obs: cross-sectional | 2528 | Canadian workers with self-reported mood or anxiety disorders | Unknown | H: 5/5 |
| Nigatu et al 2015 ( | Obs: descriptive longitudinal | 555 | Dutch employees, currently having a major depression or anxiety disorder, mostly white collar workers | Unknown | H: 5/5 |
| Okajima et al 2020 ( | Int: RCT | 92 | Young Japanese employees with insomnia | Mostly office employees | H: 4/5: many lost to follow up |
| Petersson et al 2018 ( | Int: RCT | 132 | Swedish Patients with mild to moderate depressive disorder | Various sectors, white- / blue collar | M: 3/5: low adherence and incomplete outcome data |
| Rothermund et al 2016 ( | Int: controlled obs. trial | 367 | German employed patients of whom N=174 use psychotherapeutic consultation in the workplace | Three companies, unknown | H: 5/5 |
Figure 1PRISMA flow chart of study inclusion process.
Mechanisms that facilitate stay at work (SAW), among employees with CMHP.
| Theme of program theory | Mechanisms regarding SAW |
|---|---|
| Organizational climate | Open organizational climate |
| Trustful and available supervisor | |
| Openness from supervisor | |
| Employee mirrors supervisor | |
| Social support | Offered adequate and timely support |
| Supportive relationships with colleagues and supervisor | |
| Meaningful relations at work | |
| Work-related social support: being heard about work-related problems | |
| Facilitator from independent professional | |
| Supportive communication from facilitator: an encouraging attitude and knowhow about employment issues and workplace | |
| Perceived job characteristics | Manageable workload |
| Low job demands/high job control through exerting control over own work | |
| Job modifications and making adjustments at work | |
| Absence of overtime/over hours and high job strain | |
| Coping styles | Psychological flexibility |
| Being highly motivated for work | |
| Talk about symptoms | |
| Learning active coping skills, exerting control over own work, gaining mastery of symptoms, adjusting and evaluating workload | |
| Health symptoms and severity | Good self-reported health |
| No additional health complaints | |
| Individual treatment: pharmaco-/psychotherapy, stress reduction programs | |
| Better work performance (productivity) | |
| Decreased exhaustion | |
| Increased cognitive functioning | |
| Personal context | Previous sick leave due to CMHP |
| Personal resources (being married | |
| Financial resources (owning a house, being self-employed) | |
| Features of SAW interventions | Multiple components |
| Use of online or telephone support in addition to face to face care | |
| Tailoring care, to transfer skills into daily life |
Mechanisms that facilitate work performance (WP).
| Theme of program theory | Mechanisms WP (outcome 2) |
|---|---|
| Social support | Managerial support, after training |
| Trust and empathy received by employee | |
| Continuous practical job support from colleagues or supervisor | |
| Social support at work and at home or from clinician | |
| Perceived job characteristics | Perceived low demands and high control |
| Coping styles | Avoid façade, to compensate shortcomings is counterproductive |
| Learning to manage job | |
| Reach out for supervisor support | |
| Reconsider ones attitude to work | |
| Calming mind and retrieve space | |
| Learning to cope with symptoms | |
| Health symptoms and severity | Good self-reported health, Lower severity / less symptoms |
| Absence of chronicity or additional health complaints | |
| Individual treatment: psychotherapy, pharmacotherapy | |
| Increased cognitive functioning | |
| Features of WP interventions | Use of technology |
| Tailoring care, to transfer skills into daily life |
Figure 2How to promote staying at work (SAW) among employees with CMHP, framed by Capability-for-Work model, based on 45 studies.
Figure 3How to promote work performance: framed by Capability-for-Work model, based on 39 studies