Sentence examples for medication data were from inspiring English sources

Sociodemographic information, self-reported medical history, lifestyle, and medication data were obtained using nurse interview.

With regard to other medical conditions, the percentage of cases inferred by medication data were as follows: congestive heart failure (41.5%), chronic pulmonary disease (39.0%), renal disease (7.3%), cerebrovascular disease (5.6%), AIDS (3.8%), connective tissue disease/rheumatic disease (1.5%), and dementia (1.2%) (Table  2).

No medication data were included in the analysis.

Medication data were sourced from Pharmaceutical Benefits Scheme (PBS) claims (http://www.pbs.gov.au/info/about-the-pbs).

To remove the effect of rescue medication, data were analyzed after excluding patients who took a rescue medication before the scheduled time point of outcome measurement.

Prescription medication data were identified using Medicare Part D. Using fill dates, we identified the date of the initial prescription for antihypertensive therapy (index date).

Because medication data was only available for the last migraine attack experienced in this cross-sectional sample, we were unable to show the effects of chronic NSAID use by patients with GERD/heartburn; or the degree to which NSAIDs used for migraine headache either causally contribute to or worsen GERD over time.

Statins and antihypertensive medication data are from the surveys; therefore, some misclassification bias might be present.

It is acknowledged that this method of collecting medication data is not the current gold standard.

Prescription medication data was extracted from the records by British National Formulary categories (BNF) 4.1 and 4.3.

Medication data are retrieved from the centralized pharmacy files in the research region.