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Purpose: To integrate clinical databases based on the information and analytical systems of medical organizations (MO) and to evaluate outcomes and health of children born by assisted reproductive technologies (ART).Research methods: To form database by integrating information and analytical systems of the medical organizations. To search and unify the data by means of freeware relational database management system (DBMS) – MySQL.Results. A prototype application for the management and support of a unified clinical database to analyze and evaluate the outcomes of ART. To compare information from individual databases of MO one need to match fields in the form of unique personal records, field validation, processing of missing data. Significant (p Conclusion. It is necessary to develop and implement information systems, to create ART registers on the basis of regional and national registers, to analyze the outcomes of the use of reproduction methods.

There is a growing need for multicultural collaboration in child mental health services, training, and research. To facilitate such collaboration, this study tested the 8-syndrome structure of the Child Behavior Checklist (CBCL) in 30 societies. Parents' CBCL ratings of 58,051 6- to 18-year-olds were subjected to confirmatory factor analyses, which were conducted separately for each society. Societies represented Asia; Africa; Australia; the Caribbean; Eastern, Western, Southern, and Northern Europe; the Middle East; and North America. Fit indices strongly supported the correlated 8-syndrome structure in each of 30 societies. The results support use of the syndromes in diverse societies.

The construct representation of the cross-informant model of the Child Behavior Checklist (CBCL) and the Teacher Report Form (TRF) was evaluated using confirmatory factor analysis. Samples were collected in seven different countries. The results are based on 13,226 parent ratings and 8893 teacher ratings. The adequacy of fit for the cross-informant model was established on the basis of three approaches: conventional rules of fit, simulation, and comparison with other models. The results indicated that the cross-informant model fits these data poorly. These results were consistent across countries, informants, and both clinical and population samples. Since inadequate empirical support for the cross-informant syndromes and their differentiation was found, the construct validity of these syndrome dimensions is questioned.