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Drawbacks in determining the Charlson index by using administrative datasets have been reported previously.
The exposure and outcome information in a cohort study were identified retrospectively by using administrative datasets and by reviewing patient charts, but these are sometimes frail.
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We examined age-based associations between influenza medical visits and population-wide hospitalization/mortality due to pneumonia & influenza (P&I) using administrative datasets in British Columbia, Canada.
It has been suggested that using clinical datasets for risk model development is more appropriate than using administrative datasets.
16, 17, 20– 27 Four prospective studies relied on identification of potential ADRs by physician reporting, 17, 21, 26, 28 while the remaining two studies were retrospective cohort studies using administrative datasets and identified potential ADRs retrospectively from the medical record.
Using administrative datasets means that detailed clinical information that could be used to stratify the men into risk categories or describe their PSA testing history was not available.
Nevertheless, there are known limitations to using administrative datasets including under-enumeration of haemorrhage, transfusion and other adverse outcomes as well as difficulties in establishing temporality of events.
While misclassification is a threat to the validity of a study, it is not a sufficient reason to dismiss observational research using administrative datasets.
The study used administrative datasets.
A number of recent studies have used administrative datasets to assess the burden and epidemiological features of sepsis [ 2, 4, 5, 17- 20].
Recent work has tried to refine approaches to use administrative datasets for measurement of diagnostic errors related to stroke and myocardial infarction.
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