How to Use Questionnaire Results in Psychosocial Risk Assessment
Calculating Risks for Health Impairment in Psychosocial Work Risk Assessment
Bibliographic Data
| ID | 15506853 |
|---|---|
| Authors | Jan Dettmers (0000-0002-8653-9829, FernUniversität in Hagen, corresponding author), Christiane R Stempel (0000-0002-1431-7362, FernUniversität in Hagen) |
| Year | 2021 |
| Volume | 18 |
| Issue | 13 |
| Pages | 7107-7107 |
| Publication date | 2021-07-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18137107 |
| PMID | 34281047 |
| OpenAlex | W3174404709 |
| Language | EN |
| Citations received | 2 |
| References cited | 29 |
Psychosocial risk questionnaires are common instruments in occupational safety and health promotion. Organizations use psychosocial risk questionnaires to obtain an economic overview of psychological job stressors and job resources. However, the procedures to assess if a result for a given workplace group is critical and calls for further action differ significantly and are often based on an arbitrary rule of thumb instead of empirically based evaluations. This article presents a method to translate questionnaire results into risk values for the occurrence of health impairment. We test this method on a dataset including the job stressors, job resources, and emotional exhaustion of 4210 employees from different industries. We applied logistic regression analysis to calculate the risks for impaired psychological health, indicated by high values of the burnout indicator emotional exhaustion. The results indicate significantly different health impairment risks (probabilities) for different scores on the job stressors and job resources scales as well as for scale score combinations. The risk values can be used to define cutoff values between high- and low-risk workplaces that are empirically based on stressor-strain relationships and are easily understandable by all stakeholders in the psychosocial risk assessment process, including laypersons
Burnout · Job strain · Logistic regression · Occupational safety and health · Psychiatry · Psychosocial · Risk assessment · Scale (ratio · Stressor · Applied Psychology · Clinical Psychology · Computer Science · Healthcare professionals’ stress and burnout · Medicine · Occupational Health and Safety Research · Psychology · Workplace Health and Well-being
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |