| Literature DB >> 30814391 |
Irina Guseva Canu1, Olivia Mesot1, Christina Györkös1, Zakia Mediouni1, Ingrid Sivesind Mehlum2, Merete Drevvatne Bugge2.
Abstract
Health practitioners and decision makers in the medical and insurance systems need knowledge on the work-relatedness of burnout. To gather the most reliable information regarding burnout diagnosis and recognition in Europe, we used an 8-item standard questionnaire sent by e-mail to occupational health specialists identified via the Network on the Coordination and Harmonization of European Occupational Cohorts (OMEGA-NET) within the European Cooperation in Science and Technology (COST) Action. Participation rate was 100%, and the questionnaire was completed for 37 countries. In 14 (38%) countries burnout syndrome can be acknowledged as an occupational disease. However, only one country included burnout on the list of occupational diseases. The results showed a high variability in burnout diagnosis, in assessment of its work-relatedness, and in conditions allowing compensation of patients. These results reflect a lack of graded evidence on burnout and its determinants. The ongoing research on burnout conducted in the frame of the OMEGA-NET COST Action should be helpful through facilitating standardization of both existing and new data on burnout, a priority outcome requiring harmonization.Entities:
Keywords: Burnout; Diagnosis; Epidemiology; Harmonization; Occupation; Work-relatedness
Mesh:
Year: 2019 PMID: 30814391 PMCID: PMC6885602 DOI: 10.2486/indhealth.2018-0159
Source DB: PubMed Journal: Ind Health ISSN: 0019-8366 Impact factor: 2.179
Updated* summary of the evaluation systems of burnout syndrome, possible compensation and preventive measures used in Europe
| Country | Country statusa | Existence of list of occupational diseases | Possibility to acknowledge burnout syndrome | Evaluation criteria | No of subjects with acknowledged burnout syndrome (yr) | No of compensated subjects (yr) | Action plan to limit stress at work (% establishments)b | Participation of employees to address psychosocial risks (% establishments)b | Use of psychologists (% establishments)b |
|---|---|---|---|---|---|---|---|---|---|
| Bosnia and Herzegovina | 2, 3 | YES | YES, open item | Occupational examination | 2 (2014–2016) | 2 (2014-2016) | 7 | 68 | 67 |
| Cyprus | 1, 2, 3 | YES | YES, but not notifiable | NA | NA | NA | 22 | 61 | 4 |
| Denmark* | 1, 2, 3 | YES | YES, open item | Committee evaluation, associated with Depression (F 32.9, F 33.0), adjustment disorder (F 43.2), anxiety disorder (F41.9) | 738 (2005–2015) | 592 (2005–2015) | 51 | 77 | 38 |
| Estonia* | 1, 2, 3 | YES | YES, open item | Individual occupational examination | 0 | 0 | 24 | 42 | 5 |
| France* | 1, 2, 3 | YES | YES, additional system | Committee evaluation, the rate of incapacity minimum 25%, associated with diagnosed mental disorders | 1 (2015) | 1 (2015) | 7 | 68 | 67 |
| Hungary* | 1, 2 | YES | YES, open item | Individual occupational examination | 0 | 0 | 33 | 51 | 11 |
| Iceland | 2, 3 | YES | YES | Individual psychiatric and occupational examination (ILO guidelines) | 0 | NA | 26 | 69 | 12 |
| Latvia* | 1, 2, 3 | YES | YES, listed | Individual psychiatric and occupational examination | 42 (2013–2015) | 42 (2013–2015) | 20 | 55 | 8 |
| Malta | 1, 2, 3 | YES | YES, open item | Committee evaluation. Individual psychiatric and occupational examination | 0 | 0 | 38 | 57 | 9 |
| Netherlands* | 1, 2, 3 | NO | YES | Individual occupational examination (according to NCOD guidelines) | 1989 (2015) | NA | 26 | 62 | 28 |
| Portugal* | 1, 2, 3 | YES | YES, open item | Individual psychiatric and occupational examination | NA | 7 (2015) | 20 | 55 | 12 |
| Slovakia* | 1, 2 | YES | YES, open item | Committee evaluation, Individual psychiatric and occupational examination | 0 | 0 | 15 | 43 | 10 |
| Sweden* | 1, 2, 3 | NO | YES | Individual psychiatric and occupational examination, duration of the disorder for one year at least and minimum 6.66% loss of income | 329 (2015) | 99 (2015) | 51 | 73 | 59 |
| Turkey | 2, 3 | YES | YES, open item | Committee evaluation after individual psychiatric diagnosis | 0 | 0 | 38 | 55 | 9 |
| Albania | 2 | YES | NO | NA | 0 | 0 | 24 | 42 | 5 |
| Austria* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 22 | 77 | 20 |
| Belgium* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 36 | 63 | 36 |
| Bulgaria | 1, 2, 3 | YES | NO | NA | 0 | 0 | 33 | 51 | 11 |
| Croatia* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 9 | 56 | 28 |
| Czech Republic* | 1, 2 | YES | NO | NA | 0 | 0 | 8 | 58 | 7 |
| Finland* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 36 | 71 | 60 |
| Germany* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 20 | 66 | 11 |
| Greece | 1, 2, 3 | YES | NO | NA | 0 | 0 | 14 | 68 | 5 |
| Ireland* | 1, 2 | YES | NO | NA | 0 | 0 | 43 | 63 | 11 |
| Italy* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 49 | 63 | 10 |
| Lithuania* | 1, 2 | YES | NO | NA | 0 | 0 | 24 | 46 | 6 |
| Luxembourg | 1, 2, 3 | YES | NO | NA | 0 | 0 | 14 | 61 | 8 |
| Montenegro | 2 | YES | NO | NA | 0 | 0 | 12 | 53 | 11 |
| Norway | 2, 3 | YES | NO | NA | 0 | 0 | 40 | 80 | 24 |
| Poland* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 14 | 46 | 22 |
| Republic of Macedonia | 2, 3 | YES | NO | NA | 0 | 0 | NA | NA | NA |
| Romania* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 52 | 68 | 43 |
| Serbia | 2, 3 | YES | NO | NA | 0 | 0 | 14 | 48 | 23 |
| Slovenia* | 1, 2 | YES | NO | NA | 0 | 0 | 31 | 56 | 24 |
| Spain* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 32 | 63 | 16 |
| Switzerland | 2, 3 | YES | NO | NA | 0 | 0 | 21 | 59 | 7 |
| United Kingdom* | 1, 2, 3 | YES | NO | NA | 0 | 0 | 57 | 59 | 12 |
*Data from Lastovkova et al17). a 1=Member State of the European Union, 2= Full Member of European Cooperation in Science and Technology (COST) Association, 3=Member of the OMEGA-NET COST Action. b Data from The Eurobarometer survey on Working conditions (2014)20). NCOD: Netherlands Center for Occupational Diseases; NA: not applicable.
Studies on burnout scheduled in frame of the OMEGA-NET COST Action (2018–2021)
| N° | Name of study | Study aim | Study design | Data to be used | Methods | Start of study and expected date of completing | Study partners | Source of funding |
|---|---|---|---|---|---|---|---|---|
| 1 | Which factors contribute to the onset of burnout among workers? | To identify as exhaustively as possible all effective predictors of burnout in adult working population | Systematic literature and meta-analysis | Longitudinal studies on burnout adult working population published between the years 1990 and 2018 in peer-reviewed scientific journals, whatever the language used. | Systematic search of literature in Medline/PubMed, Pschinfo and Embase via Ovid. Screening and selection of relevant studies using an Excel form tool. Risk of bias assessment using MEVORECH tool, data extraction, pooling, narrative and whenever possible quantitative summary, analysis of heterogeneity, and grading of evidence for each factor contributing to the burnout onset using GRADE approach | April 2018–June 2020. Publication of results expected by December 2020 | OMEGA-NET Burnout working group | COST Action CA16216 (contribution for tools acquisition, working group meetings and publication costs), University of IST/Lausanne and University of Bern BNF – National Qualification Program (contribution for reviewers’ salary) |
| 2 | Comparative study of Burnout measurement tools | To identify the validated tools of burnout and to examine their epidemiological methodology | Systematic review of literature | Studies on the development and validation of tools measuring burnout, peer-reviewed validation studies published since 1981. | Narrative and comparative review based on two checklists: 1) quality evaluation of diagnostic/prognostic properties in epidemiology; 2) Evaluation of the psychometric properties of burnout tools. | June 2018–October 2019. Publication of results expected by March 2020 | As above | |
| 3 | Pre-existing psychiatric conditions, occupational stress & burnout in a prospective cohort study | To assess the research hypothesis that 1-high workload and over-commitment are predictors of future occupational burnout and 2-pre-existing psychiatric conditions are not mandatory precursors of occupational burnout | Prospective cohorte study | Data of the Swiss cohort PsyCoLaus, collected at baseline (2004–2008) and during three consecutive follow-ups (follow-up I (between 2009 and 2012), follow-up II (between 2014 and 2017), and follow-up III (between 2018 and 2020). | The hypotheses will be tested using a generalized linear model where the dependent variable will be the score of the MBI assessed at follow-up III with the Siegrist’s effort-reward-imbalance score at follow-up II and the pre-existing psychiatric condition/s as predictors. The models will be adjusted for additional independent variables in order to control for potential confounders. If the number of subjects is sufficiently high, analyses will be stratified by gender. | 2019–2021. Publication of results expected by July 2022 | The Vaud University Hospital Center (CHUV), Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine University Hospital Zurich | Swiss National Science Foundation (SNSF), Swiss COST grant related to COST Action CA16216 (under review) |