Creating notifications tailored for individual workers by using a database: a conceptual framework and its application.

Abstract

Although prevention strategies to assure good mental health in the workplace have become important, worker notification in studies using psychometric tests has rarely been discussed. Until now it has been difficult to prepare a large number of notifications that are tailored well for individual workers. We have developed a system to create notifications that explain the results for individual workers in plain language using a relational database (RDB). First, scores for each test were divided into categories and the workers' data was classified. Then, explanations were written for each category. RDB software read component files into a database file, integrated all data, and printed out notifications. After the system was developed, we realized its high potential for use in occupational health care, as well as in many other fields. We also report an example of its application.