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The Complete Count of Data Sets can be VerifiedThis criterion examines whether the complete count of data sets can be verified. If entire treatment cases are missing in the documentation, this leads to their absence from consideration in the quality indicator. In this case, a distortion of the outcomes through selective documentation of certain cases cannot be excluded. This criterion evaluates not explicitly the actual complete count of data sets, but only the ability to examine the complete count. The question as to whether the count of data sets is actually complete is part of the data validation during the application of the 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 |