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

## TL;DR

This paper introduces an algorithm to assess psychosocial risks among higher education teachers and guide risk management strategies.

## Contribution

A novel algorithm was developed to measure and manage psychosocial risks specific to higher education teachers.

## Key findings

- The algorithm calculates risk levels using scores from 1 to 5, with an overall low risk level observed.
- Specific dimensions like task demands showed a medium risk level.
- The algorithm provides a practical framework for analyzing and addressing psychosocial risks in teachers.

## Abstract

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.

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.

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.

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.

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.