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Terry L Seaton

Publications and source records attributed to Terry L Seaton.

6 recordsLinked to original sources
PubMed2006

Defining the opportunity for pharmacogenetic intervention in primary care.

UNLABELLED: Pharmacogenetics (PG), the study of human genome function and its effects on drug response, represents an exciting approach for reducing adverse drug events and increasing therapeutic efficacy. However, there is no clear information of the potential impact of PG in the primary care setting. Therefore, a study was conducted to determine the frequency of use of medications under PG influence, including 16 PG adverse drug reaction (ADR)-associated medications, in the primary care setting. PATIENTS AND METHODS: A cohort of 607 consecutive patients was accrued over a 3-month period from three primary care practices. Patients were asked to answer a verbal survey of demographics and medication use during the past 12 months. The survey specifically evaluated 16 drugs known to commonly cause ADRs and undergo metabolism by polymorphic enzymes. Patients also disclosed information on all other medication use in the last year. Medication use was verified by chart review. The primary outcome was the frequency of medication use. RESULTS: Among the 16 ADR-associated medications, patients used analgesics (88.5%), antihypertensives (14.3%) and antidepressants (9.6%) most commonly. Overall, 28.6% of patients took more than one of the PG ADR-associated medications. Neither gender nor race appeared to influence the frequency of use of these medications (p=0.5 and p=0.08, respectively). Patients taking one or more of the drugs were older (p<0.001). More patients seen for a chronic visit took one or more of the ADR-associated drugs than patients seen for an acute visit (35.8 versus 18.5%, p<0.001). DISCUSSION: This is the first attempt to describe the potential role of pharmacogenetics in the primary care setting. The findings indicate that at least one in four primary care patients take at least one medication that commonly causes adverse drug reactions due to genetic variability in drug metabolism, indicating that there is a potential role of pharmacogenomics in primary care. Nearly every patient was on a medication with putative PG association. CONCLUSIONS: Studies of the ability of PG should not be limited to medical subspecialties, as there is a great potential impact of PG on the primary care setting.

Adult↗
PubMed2005

Implementing a commercial rule base as a medication order safety net.

A commercial rule base (Cerner Multum) was used to identify medication orders exceeding recommended dosage limits at five hospitals within BJC HealthCare, an integrated health care system. During initial testing, clinical pharmacists determined that there was an excessive number of nuisance and clinically insignificant alerts, with an overall alert rate of 9.2%. A method for customizing the commercial rule base was implemented to increase rule specificity for problematic rules. The system was subsequently deployed at two facilities and achieved alert rates of less than 1%. Pharmacists screened these alerts and contacted ordering physicians in 21% of cases. Physicians made therapeutic changes in response to 38% of alerts presented to them. By applying simple techniques to customize rules, commercial rule bases can be used to rapidly deploy a safety net to screen drug orders for excessive dosages, while preserving the rule architecture for later implementations of more finely tuned clinical decision support.

Clinical Pharmacy Information Systems↗
PubMed2005

Concordance between medication histories and outpatient electronic prescription claims in patients hospitalized with heart failure.

Using an electronic prescription claims database and electronic hospital records, we retrospectively compared outpatient heart failure (HF) prescriptions dispensed with reported use obtained during medication histories taken at hospital admission. We found significant disagreement between each source for all but one HF medication class.

Clinical Pharmacy Information Systems↗