An Italian Survey and Focus Groups on Fibromyalgia Impairment: Impact on Work and Possible Reasonable Accommodations.
Michael TentiWilliam RaffaeliMery ParoliGabriele GamberiRiccardo VincisBarbara SuzziCorrado FagnaniLaura CamoniVirgilia ToccaceliPublished in: Healthcare (Basel, Switzerland) (2024)
Fibromyalgia symptoms affect the sufferers' working life; however, through reasonable accommodations in workplaces, they can continue to work satisfactorily. There are no Italian studies on factors that facilitate or hinder fibromyalgia-affected people's working life. Our objective was to explore, in a pre-pandemic setting, the quality of working life of fibromyalgia sufferers and reasonable accommodations to improve it. Quantitative and qualitative methods were applied; a survey-questionnaire, participatory-developed, was online-administered to a sample of self-reported FM sufferers (N = 1176). Then, two Focus Groups (FGs), involving 15 fibromyalgia-affected women, were held. Data were analyzed by a thematic analysis approach. Among survey-respondents, 20% were unemployed and only 14% went to work gladly. Variability of pain (84%) and fatigue (90%) were the most perceived reasons for difficulties at work. Negative relationships at work were reported by most participants. The FGs' discussions addressed different strategies for overcoming the main obstacle of "not being believed by colleagues and employers" and reasonable accommodations. However, a negative hopeless attitude towards the solution of problems at work was also apparent. Different critical issues in the workplace emerged from the survey and the FGs. Coordinated actions, according to a transdisciplinary approach, are needed to manage fibromyalgia-induced difficulties in the workplace.
Keyphrases
- cross sectional
- mental health
- sars cov
- chronic pain
- systematic review
- coronavirus disease
- healthcare
- sleep quality
- depressive symptoms
- computed tomography
- magnetic resonance imaging
- polycystic ovary syndrome
- high glucose
- high resolution
- machine learning
- social support
- spinal cord injury
- drug induced
- artificial intelligence
- diabetic rats
- quality improvement
- diffusion weighted imaging
- endothelial cells
- data analysis
- case control