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The Completeness of the Data can be VerifiedWith this criterion it is evaluated whether the completeness of the data can be examined. Incomplete information for individual treatment cases can lead to a non-consideration of these findings in the assessment of the quality indicator. In this case, a distortion bias of the results by selective documentation of certain cases cannot be excluded. This criterion does not evaluate the actual completeness of the data, but only the ability to examine the completeness. The question as to whether data are actually complete is part of the data validation during the application of an indicator and not a characteristic of the quality indicator itself. There is a distinction between the completeness and the complete count of the data sets. Completeness means that all data fields necessary for an observation unit are captured. Complete count means that for all observation units of the base population or a representative sample a data set is captured. Definition Core Statement Information Base for the Assessment Assessment Process A detailed process description can be found in Appendix 2. Assessment Stages |