Sentence examples for many administrative databases from inspiring English sources

Impairment in activities of daily living (ADL) is an important predictor of outcomes although many administrative databases lack information on ADL function.

Comorbidity indices, such as the Charlson comorbidity score [ 20, 21], the Johns Hopkins Adjusted Clinical Groups ACGG) system [ 22], or measures based on prescription medications [ 23], can be constructed from information in many administrative databases to risk adjust outcomes and control for confounding.

In many administrative health databases, conditions secondary to the principal reasons for admission to hospital are only coded if actively treated or investigated during the hospital stay [ 1].

Due to the frequently missing data in many administrative diagnosis databases, experts have suggested that patient medical records may be a more complete source of comorbidity data [ 2, 5, 14, 16].

For example, dementia is known to be substantially underrepresented in many US administrative databases, due to underdiagnosis.

These seven predictors were also chosen because they are often recorded in the administrative databases of many ICUs, and as such, it is possible for other ICUs to validate this model using their data [24].

Because administrative databases lack many clinically relevant variables, we were not able to explore differences among other patient characteristics such as disease severity at presentation, Helicobacter pylori status, and use of NSAIDs.

A sample size of equal or more than 1500 was achieved by all studies using administrative databases, and in many studies using solicited surveillance by HCP.

Even though health administrative databases are implemented in many countries, such an identifier may not always exist or may have a limited coverage of the population.

Many investigators combat these issues by utilizing administrative databases to provide information about the epidemiology of and the care delivered to patients with COPD [ 10].

While the use of national administrative databases have allowed us to capture many DFU cases, the true number of cases may be higher due to the limitations around DFU coding in the current databases for follow-up care.