Sentence examples for using administrative datasets to from inspiring English sources

In Australia, there has been keen interest in using administrative datasets to examine hospital performance [ 26- 28] with surgeons, administrators and patients having endorsed independent review of surgical care [ 29].

A number of recent studies have used administrative datasets to assess the burden and epidemiological features of sepsis [ 2, 4, 5, 17- 20].

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.

Therefore, it shares drawbacks of using administrative datasets in evaluating quality such as inability to specify clinical definitions for risk factors (e.g., forced reliance on ICD-9 codes), and limited ability to distinguish between complications of care and pre-existing conditions.

While misclassification is a threat to the validity of a study, it is not a sufficient reason to dismiss observational research using administrative datasets.

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.

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.

When considering categorization of emergency department injury visits, investigators using administrative datasets should select the schema that most closely aligns with their aims (i.e., injury severity versus resource utilization), or use a combined approach that incorporates both measures.

Drawbacks in determining the Charlson index by using administrative datasets have been reported previously.

It has been suggested that using clinical datasets for risk model development is more appropriate than using administrative datasets.

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.