scholarly journals What are psychosocial risk factors for entrepreneurs to become unfit for work? A qualitative exploration

Work ◽  
2020 ◽  
Vol 67 (2) ◽  
pp. 499-506
Author(s):  
J. Lek ◽  
A.A. Vendrig ◽  
F.G. Schaafsma
Keyword(s):  
Risk Factors ◽  
Occupational Health ◽  
Personality Traits ◽  
Work Disability ◽  
Working Hours ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Health Practice ◽  
Face To Face ◽  
Qualitative Exploration

BACKGROUND: Entrepreneurs may have to deal with different psychosocial risk factors than employees. Understanding relevant psychosocial risk factors for entrepreneurs is important for occupational health practice to develop effective measures to prevent work disability. This knowledge will be used to adjust the Work and Wellbeing Inventory an existing screening tool for employees. OBJECTIVE: The aim was to explore psychosocial risk factors and relevant personality traits to adjust and further develop the Work and Wellbeing Inventory to predict work disability for entrepreneurs. METHODS: In a qualitative explorative study, we interviewed 17 entrepreneurs varying in type of business and demographic background. By semi-structured face-to-face interviews, we explored their experiences with psychosocial risk factors related to entrepreneurship. Transcripts were analyzed by qualitatively coding procedures and constant comparative methods. RESULTS: According to these entrepreneurs financial insecurity, conflict of interest, large responsibility, high number of working hours, managing tasks, and administrative burden were the major themes they had to deal with. Relevant personality traits for successful entrepreneurship were stress resistance, being all round, flexible, a good communicator, good leadership, and being able to set limits. CONCLUSIONS: The results of this study are relevant for occupational health practice focusing on the wellbeing of entrepreneurs, and will be used to adjust items in the Work and Wellbeing Inventory.

Towards automated detection of psychosocial risk factors with text mining

2020 ◽  
Vol 70 (3) ◽  
pp. 203-206
Author(s):  
L Uronen ◽  
H Moen ◽  
S Teperi ◽  
K-P Martimo ◽  
J Hartiala ◽  
...  
Keyword(s):  
Risk Factors ◽  
Text Mining ◽  
Occupational Health ◽  
Sick Leave ◽  
Early Retirement ◽  
Psychosocial Risk Factors ◽  
Health Check ◽  
Psychosocial Risk ◽  
Free Text ◽  
Health Checks

Abstract Background Psychosocial risk factors influence early retirement and absence from work. Health checks by occupational health nurses (OHNs) may prevent deterioration of work ability. Health checks are documented electronically mostly as free text, and therefore the effect of psychological risk factors on working capacity is difficult to detect. Aims To evaluate the potential of text mining for automated early detection of psychosocial risk factors by examining health check free-text documentation, which may indicate medical statements recommending early retirement, prolonged sick leave or rehabilitation. Psychosocial risk factors were extracted from OHN documentation in a nationwide occupational health care registry. Methods Analysis of health check documentation and medical statements regarding pension, sick leave and rehabilitation. Annotations of 13 psychosocial factors based on the Prima-EF standard (PAS 1010) were used with a combination of unsupervised machine learning, a document search engine and manual filtering. Results Health check documentation was analysed for 7078 employees. In 83% of their health checks, psychosocial risk factors were mentioned. All of these occurred more frequently in the group that received medical statements for pension, rehabilitation or sick leave than the group that did not receive medical statement. Documentation of career development and work control indicated future loss of work ability. Conclusions This study showed that it was possible to detect risk factors for sick leave, rehabilitation and pension from free-text documentation of health checks. It is suggested to develop a text mining tool to automate the detection of psychosocial risk factors at an early stage.

Suicide Attempts Among Depressed Inpatients with Depressive Disorder in a Malaysian Sample

Crisis ◽  
2011 ◽  
Vol 32 (5) ◽  
pp. 283-287 ◽  
Author(s):  
L. F. Chan ◽  
T. Maniam ◽  
A. S. Shamsul
Keyword(s):  
Risk Factors ◽  
Suicidal Ideation ◽  
Suicide Attempt ◽  
Depressive Disorder ◽  
Suicide Attempts ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Life Event ◽  
Axis I ◽  
A Current

Background: Depressed inpatients constitute a high-risk population for suicide attempts. Aims: To describe the interactions of clinical and psychosocial risk factors influencing suicide attempts among a Malaysian sample of depressed inpatients. Methods: Seventy-five subjects were diagnosed with a depressive disorder according to the Structured Clinical Interview for DSM-IV Axis I Disorders-Clinical Version (SCID-CV). Data on suicide attempts, suicidal ideation (Scale for Suicidal Ideation, SSI), depression severity (Beck’s Depression Inventory, BDI), recent life-event changes (Social Readjustment Rating Scale, SRRS), sociodemographic and other relevant clinical factors were collected. Results: A third of the subjects presented after a current suicide attempt. Significant factors for a current suicide attempt were race, religion, recent life-event changes, suicidal ideation, and alcohol use disorder. Independent predictive risk factors for a current suicide attempt were Chinese race, recent marital separation, major mortgage or loans, and being newly diagnosed with depression. Any recent change in personal habits was shown to be a protective factor against current suicide attempt. Age and gender were nonsignificant factors. Conclusions: The findings are generally consistent with existing studies and highlight the role of psychosocial risk factors.

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