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PubMed1984

Ambiguities in the selection of the principal diagnosis: impact on data quality, hospital statistics and DRGs.

A statewide stratified, random sample of diabetes-related hospital discharges for Medicare and Medicaid recipients was reviewed to assess principal diagnosis coding validity. After reabstracting, only 60 percent of the sample were found to be unequivocally correct. In another 23 percent, the correct principal diagnosis could not be determined with certainty. Furthermore, ten percent of the cases where diabetes mellitus was coded as another diagnosis were ambiguous as to whether diabetes actually was the principal diagnosis. The potential impacts of these ambiguities on measures of admission rates, average length of stay, and hospital payment are examined.

Costs and Cost Analysis↗
PubMedDate not supplied

[Data quality and the interpretation of biological monitoring results].

Quality assurance criteria are not uniformly applied to routine biological determination, in particular with regard to the biomonitoring of exposure to organic solvents. Quality assurance is not an abstract concept but rather a flexible tool which can be adapted to different situations, such as the measurement of different exposure levels or the use of different analytical methods, for a range of purposes (routine determination, risk assessment procedures, research). The occupational health physician should be actively involved in the definition of quality objectives, as well as in checking that they have been implemented. This paper deals with some general issues regarding quality assurance, and in particular with certain requirements of analytical quality (analytical uncertainty, imprecision, bias) and its implementation (quality control, reference materials, standardization, reference values), contextualized to the biological monitoring of organic compounds and the relative metabolites.

Environmental Monitoring↗