Professional selection of candidates for work at oil and gas complex enterprises largely determines the preservation of employees’ health during the working activity.
OBJECTIVE
To study the possibility of intelligent technology applying in professional selection of candidates for work at oil and gas complex enterprises and to assess the influence of medical professional selection quality on the frequency of adverse medical events among personnel.
MATERIAL AND METHODS
The results of monitoring for health status of 2139 employees of oil and gas complex enterprises using telemedical technology were studied. The significance of differences in mean values was assessed using a variance analysis and Student’s t-test with Bonferroni correction for multiple comparisons. Discrete variables were compared using χ2 criterion with at least 5 observations, otherwise the exact Fisher criterion was applied. Mathematical modeling of medical care processes was performed based on factor analysis method.
RESULTS
The whole proportion of employees equal 11.22% was evacuated for emergency reasons. Emergency evacuation was applied to 14.63% of the employees. Specific abnormalities were reported by ECG in 148 (86.55%) of 171 cases of evacuation of patients with hospital confirmation of cardiological pathology. The values of threats in the total dispersion of the probabilities of adverse events occurrence with regard to the first principal component, without rotation, by descending power were as follows: age group (0.714), cardiovascular risk according to the Fremingham scale (0.712); maximum level of arterial pressure (0.678), comorbidity index (0.635); cardiovascular risk SCORE (0.619), danger grade by anamnesis (0.608).
CONCLUSION
Telemedical health state monitoring revealed significant differences in baseline health states of employees of oil and gas extraction companies and their subcontractors. The probabilities of adverse health events were highly dependent on employees’ age, risks of cardiovascular diseases, maximal levels of blood pressure, comorbidity indices, accumulated anamnestic threats, degree of body mass index deviation.
