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In the present work, the dimensions of the psychosocial risk assessment instrument are defined considering internal, individual, double presence and external factors for work environments. Those corresponding to internal, individual and double presence factors are not subject to a process of validation of content since they come from the ISTAS 21 model validated by the Trade Union Institute of Labor, Environment and Health of Spain. The variables corresponding to external factors are obtained from the Social Determinants of Health Model of the World Health Organization. These measurement tools are used for companies with a high number of workers, so a large amount of data is generated. The construct validity of the external factors is carried out by calculating the sample adequacy measure of Kaiser-Meyer-Olkin together with the Bartlett sphericity test and the communalities analysis. Of the internal and individual variables there are twenty dimensions and of the external variables, are reduced to 14.

Statistical process control (SPC) is one of the most important tools for process continuous improvement. Its usefulness lies on the fact that it helps in the identification of causes of variation in the process. This allows the decision maker to take the corresponding actions in such a way that the improvement of the associated indicators is achieved. In this particular case, the methodology of the SPC was used to intervene a process of verification and collection of medical accounts by a technology company. The errors in these accounts can cause that the health companies do not pay the correct amount to hospitals. This situation may affect the service to users or that the health companies have economic losses. The implementation of the statistical process control (SPC) had a big impact in the identification of problems, stabilization of the process, and improvement of satisfaction and reduction of quality costs.

The purpose of this paper is to present the results of the application of exploratory factor analysis to demonstrate that factors external to the organization influence the outcome of the Evaluation of the level of psychosocial risks. The variables corresponding to external factors are obtained from the Social Determinants of Health Model of the World Health Organization (WHO). These measurement tools are used for companies with a high number of workers, so a large amount of data is generated. The elements included in the construct validation are: the Kaiser-Meyer-Olkin (KMO) sample adequacy measure, Barlett's sphericity test, the communalities, the explained variance percentages, the matrix of factor structure components, the graph of sedimentation and the matrix of rotated components. As a result, we obtain that external factors have a significant impact on the assessment of the level of psychosocial risks. The external variables found are: education, health care services, housing conditions, means of transport, living conditions.