Statistical analysis Arithmetic means and modes were taken as rep

Statistical analysis Arithmetic means and modes were taken as representative parameters. When data did not follow normal distribution, Mann–Whitney test

and Wilcoxon test were employed as necessary. Chi-squares test was also used. Values of p < 0.05 were considered statistically significant. Results Basic characteristics Gender distribution among OPs showed that male dominancy was common in the two countries and it was more so in Japan (men:women = 85%:15%) than in the Netherlands (68%:32%; p < 0.01 by chi-squares test). Age distributed with a mode of ≥60 years in Japan (41% of all) and 40–59 years in the Netherlands (84%). Despite the younger age for the Dutch OPs, experience selleck products as an OP was significantly longer in the Netherlands [mean (mode) being 10.9 (10) years in Japan versus 16.4 (15) years in the Netherlands; p < 0.01 by Mann–Whitney test]. Expectedly, Japanese OPs had substantially longer clinical experience

than Dutch OPs [mean CYC202 datasheet (mode) being 21.5 (21) years in Japan versus 2.4 (0) years in the Netherlands; p < 0.01 by Mann–Whitney test]. As to qualifications for OP, 86% of Japanese OPs had a qualification of the Japan Medical Association (JMA), 10% had a qualification of the Japan Society for Occupational Health (JSOH), 37% had a qualification for occupational health consultant of the Japanese Ministry of Health, Labour and Welfare, and 6% had the Diploma of Occupational Health from the University of Occupational and Environmental Health, Japan. In the Netherlands, 87% of Dutch OPs had a Ixazomib manufacturer qualification

of registered OP of NVAB, 9% were still in vocational find more training for OP, and 3% had other qualifications (e.g., a registered social insurance physician, medical adviser .). Comparison of the number of employees covered by one OP showed that Dutch OPs managed a significantly larger number of employees than Japanese OPs; the mean (the mode) of employees covered in Japan was 1,823 employees (1,000 employees) in contrast to 3,227 employees (2,000 employees) in the Netherlands (p < 0.01 by Mann–Whitney test; the top half in Table 1). It should be noted, however, that one OP serves more than one enterprise. Classification of enterprises covered by OPs showed that Dutch OPs focused more (85.

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