Design of an algorithm for measuring psychosocial risk factors in higher education teachers.

Introduction: Psychosocial factors have represented a major challenge for occupational safety and health, being one of the main causes that affect individuals' psychosocial well-being. Teachers are no exception, as they are exposed to multifactorial variables that impact their health. Objectives: To design an algorithm that measures the risk of exposure to psychosocial factors and guides the definition of specific control measures for higher education teachers. Methods: Specific formulas were developed to tabulate responses, assigning scores from 1 to 5 points according to each selected option. This approach made it possible to average the opinions provided by the evaluated teachers. The formulas were applied in a pilot test to determine the level of risk of exposure to psychosocial factors, in accordance with the previously established scale. Experience report: The designed formulas allowed for the summation and averaging the evaluated dimensions, generating a matrix with the individually obtained responses. The overall calculated risk level was low, with values (between 3.6 and 4.1), although specific dimensions, such as task demands and work changes, reached a medium level of risk (3.3), according to the established scale. Finally, intervention options aimed at managing these risks were described. Conclusions: The proposed algorithm represents a significant advance in the efficient management of psychosocial factors affecting teachers. This tool facilitates the analysis of risk levels and the planning of appropriate actions, providing a practical approach to address psychosocial challenges within this academic population.