Submitted:
24 June 2026
Posted:
25 June 2026
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Sample size Calculation
2.3. Questionnaire
- Main demographic data: age, gender, seniority, kind of medical background; the Italian region where the professional mainly worked and lived.
- Knowledge Test. According to the medical applications of Health Belief Model (HBM) [24,40,41,42,43], knowledge status of a certain professional about a specific topic is key determinant of attitudes and behaviors. Therefore, a better knowledge status of endometriosis should be associated with more appropriate management of endometriosis cases. The knowledge section included 12 items, comprising 9 dichotomous questions and 3 multiple-choice questions (e.g., “Endometriosis is frequently associated with infertility”; TRUE) and 3 polytomous ones (e.g., “Endometriosis is usually diagnosed …” a) between 12 and 14 years of age; b) between 15 and 24 years of age; c) between 25 and 34 years of age; d) between 35 and 45 years of age; correct answer = c). The items were developed through an extensive review of the available literature on endometriosis. In order to ascertain whether the items of the knowledge were able to properly discriminate between participants with “strong” and “weak” understanding of endometriosis, the approach suggested by Möltner and Jünger was applied [44,45]. Briefly, correlation of each item of the knowledge test with the sum of all corrected answers was assessed through Spearman’s rank test; all questions with a rho ≥ 0.4 were included in a summary score (simplified Knowledge Score; GKS), which was calculated by assigning one point for each correct answer, while incorrect, missing, or “don’t know” responses received zero points. Moreover, consistently with the questionnaire from Roullier et al. [37], a series of conditions associated with endometriosis were presented, and participants were asked to rate their perceived occurrence among individuals affected by this condition (i.e., “Intense dysmenorrhea”, “Severe dyspareunia”, “Catamenial painful defecation”, “Chronic pelvic pain”, “Acute pelvic pain”, “Catamenial digestive disorders”, “Catamenial urinary function disorders”, “Menstrual cycle disorders”, “Fertility disorders”). Each item was rated in a 4-point Likert scale ranging from never, sometimes, often, to always.
- Risk perception. According to the original report from Yates [49], perceived risk can be defined by the perceived probability of a certain event (F) and the expected consequences of that event (C). Participants were therefore requested to rate the perceived severity (CEND) and the perceived frequency (FEND) of endometriosis in Italian population by means of a fully labeled 5-point Likert scale (range: from “not significant”, score 1; to “very significant”, score 5). A cumulative Risk Perception Score (RPS) was therefore calculated as follows:
- CEND x FEND = RPS (2)
- Respondents were then asked to rate how difficult they perceived the management of endometriosis in Italian occupational settings compared to other chronic conditions, including: diabetes, allergic asthma, chronic dorsal pain, upper limb disease, heart disease, fibromyalgia, depression, epilepsy and migraine. All of the aforementioned statements were rated 1 (not difficult) to 10 (very difficult).
- Attitudes. For the purposes of the present study, the attitude was defined as the tendency to evaluate a particular issue with some degree of favor or disfavor [46], and therefore reporting a certain attitude involved the expression of an evaluative judgment about a certain item. Respondents were therefore requested to rate through a full Likert scale 1 (very simple) to 5 (very complex) how they perceived the management of endometriosis due to a series of conditions (i.e., “Ergonomics of the workstation”, “Working hours”, “Workload”, “Work environment”, “Psychosocial factors”, “Interface between family and workplace”.
- Practices. Participants were requested to report whether they had previously issued a restricted fitness-for-work appraisal (yes vs. no).
2.4. Ethical Considerations
2.5. Data Analysis
3. Results
3.1. Characteristics of the Study Population
3.2. Knowledge of Endometriosis
3.4. Risk Perception

3.5. Perceived Barriers to Workplace Management
3.6. Factors Associated with Conditional Fitness-to-Work
3.7. Multivariable Analysis
4. Discussion
4.1. Summary of Main Results
4.2. Generalizability of Main Data and Implication for Daily Practice
4.3. Limits
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| 95%CI | 95% Confidence Interval |
| aOR | Adjusted Odds Ratio |
| ANOVA | Analysis of Variance |
| CME | Continuing Medical Education |
| GKS | General Knowledge Score (sGKS, simplified GKS) |
| HBM | Health Belief Model |
| KAP | Knowledge, Attitudes and Practices |
| OP | Occupational Physician |
| OR | Odds Ratio |
| RPS | Risk Perception Score |
| STROBE | Strengthening the Reporting of Observational Studies in Epidemiology |
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| Variable | No./155, % | Average, 95%CI |
|---|---|---|
| Age (years) | 43.75 (42.27; 45.24) | |
| Seniority (years) | 17.05 (15.45; 18.64) | |
| Male Gender | 91, 58.7% | |
| Region of origin | ||
| Northern Italy | 103, 66.5% | |
| Central Italy | 20, 12.9% | |
| Southern Italy | 32, 20.6% | |
| Qualification as Occupational physician | ||
| Residency in Occupational Medicine | 136, 87.7% | |
| Residency in Hygiene and Public Health | 18, 11.6% | |
| Residency in Legal medicine | 1, 0.6% | |
| Occupational physicians of healthcare providers | 104, 67.1% | |
| Free practitioner | 116, 74.8% | |
| Self-assessed proper knowledge of endometriosis | 121, 78.1% | |
| Endometriosis acknowledged as somehow severe | 110, 71.0% | |
| Endometriosis acknowledged as somehow frequent | 86, 55.5% | |
| Risk Perception Score (%) | 52.52 (50.64; 54.40) | |
| General Knowledge Score (%) | 64.14 (62.21; 66.07) | |
| General Knowledge Score (simplified) (%) | 60.00 (55.25; 62.17) | |
| Previous formation on endometriosis | ||
| During medical school | 105, 67.7% | |
| During medical specialty training | 4, 2.6% | |
| Continuous Medical Education | 29, 18.7% | |
| Colleagues (Gynecologists) | 47, 30.3% | |
| Internet (i.e., online courses, articles, official websites) | 49, 31.6% | |
| Knowledge of any guidelines on occupational management of endometriosis | 17, 11.0% | |
| Background in … | ||
| Gynecology | 19, 12.3% | |
| Psychiatry | 13, 8.4% | |
| Internal medicine | 102, 65.8% | |
| Any previous experience with patients with endometriosis | 126, 81.3% | |
| Conditioned Fitness to work assessment | ||
| Any restriction | 102, 65.8% | |
| Avoid night shift | 47, 30.3% | |
| Avoid shift work | 36, 23.2% | |
| Avoid exposure to extreme temperatures | 15, 9.7% | |
| Increased number of work breaks | 78, 50.3% | |
| Avoid exposure to chemical agents | 3, 1.9% | |
| Avoid front office duties | 18, 11.6% |
| Question / Statement | Correct answer | No., % | Correlation with GKS (rho, p value) |
|---|---|---|---|
| W01. What is the prevalence of endometriosis among women of reproductive age? | 10 to 14% | 41, 26.5% | -0.073 (0.363) |
| W02. Endometriosis is caused by the presence of endometrium-like tissue outside the uterus. | TRUE | 155, 100% | - |
| W03. Endometriosis is associated with abnormalities of the pelvic musculature. | TRUE | 111, 71.6% | 0.172 (0.033) |
| W04. Early menarche is a risk factor for endometriosis. | TRUE | 70, 45.2% | 0.338 (< 0.001) |
| W05. Women with endometriosis typically have a low body mass index (<18 kg/m²). | FALSE | 86, 55.5% | 0.122 (0.132) |
| W06. Endometriosis is characterized by a strong familial predisposition. | TRUE | 54, 34.8% | 0.063 (0.440) |
| W07. Endometriosis is usually diagnosed … | … between 25 and 35 years of age | 96, 61.9% | -0.159 (0.048) |
| W08. The gold standard for the diagnosis of endometriosis is transvaginal ultrasound. | FALSE | 49, 31.6% | 0.166 (0.040) |
| W09. Endometriosis is frequently associated with infertility. | TRUE | 129, 83.2% | 0.312 (< 0.001) |
| W10. Which of the following psychiatric disorders is most commonly associated with endometriosis? | Depression | 141, 91.0% | 0.128 (0.113) |
| W11. The treatment of endometriosis aims to reduce pain and maximise residual reproductive potential. | TRUE | 127, 81.9% | -0.074 (0.362) |
| W12. The treatment of endometriosis benefits from hormone replacement therapy. | TRUE | 120, 77.4% | -0.127 (0.114) |
| Variable | Previously issuing restricted fitness-to-work appraisal of women affected by endometriosis | p value | |
| Yes (N = 102) | No (N = 53) | ||
| Gender | < 0.001 | ||
| Male | 76, 74.5% | 15, 28.3% | |
| Female | 26, 25.5% | 38, 71.7% | |
| Age (Average, 95%CI) | 44.88 (42.97; 46.80) | 41.58 (39.33; 43.84) | 0.036 |
| Seniority (Average, 95%CI) | 18.37 (16.35; 20.39) | 14.49 (11.99; 16.99) | 0.022 |
| Region of Italy | 0.024 | ||
| Northern Italy | 61, 59.8% | 42, 79.2% | |
| Central / Southern Italy | 41, 40.2% | 11, 20.8% | |
| Self assessed good knowledge | 80, 78.4% | 41, 77.4% | 1.000 |
| RPS > median | 48, 47.1% | 18, 34.0% | 0.164 |
| Simplified GKS > median | 42, 41.2% | 8, 15.1% | 0.002 |
| Source of information | |||
| Medical school | 55, 53.9% | 50, 94.3% | < 0.001 |
| Continous Medical Education | 28, 27.5% | 1, 1.9% | < 0.001 |
| Medical Specialty Training | 3, 2.9% | 1, 1.9% | 1.000 |
| Colleagues | 41, 40.2% | 6, 11.3% | < 0.001 |
| Internet, social media | 39, 38.2% | 10, 18.9% | 0.023 |
| Any background in … | |||
| … gynecology | 14, 13.7% | 5, 9.4% | 0.607 |
| … psychiatry | 7, 6.9% | 6, 11.3% | 0.519 |
| … internal medicine | 68, 66.7% | 34, 64.2% | 0.893 |
| Occupational features of respondents | |||
| Full residency in Occupational Medicine | 89, 87.3% | 47, 88.7% | 1.000 |
| Being a free practitioner | 78, 76.5% | 38, 71.7% | 0.650 |
| Working in Healthcare settings | 85, 83.3% | 19, 35.8% | < 0.001 |
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