Evidence of sample use among new users of statins: implications for pharmacoepidemiology.

View Abstract

BACKGROUND

Epidemiologic studies of prescription medications increasingly rely on large administrative health care databases. These data do not capture patients' use of medication samples. This could potentially bias studies of short-term effects where date of initiation may be inaccurate.

OBJECTIVES

To assess the extent of sample use among patients initiating statin therapy.

RESEARCH DESIGN

Retrospective cohort of patients who filled a first prescription for a statin after at least 6 months of statin-free period in 2007-2010. Low-density lipoprotein (LDL) values obtained within the 15 days preceding the first prescription were analyzed using a 2-component Gaussian mixture model to look for evidence of prior treatment.

SUBJECTS

A total of 26,033 statin initiators with at least 1 LDL laboratory result within the 15 days preceding the prescription fill.

MEASURES

Estimators for the proportion of patients filling a new prescription already on treatment.

RESULTS

Among 9256 patients filling a branded statin, LDL distribution was bimodal, consisting of 2 Gaussian distributions: one, which made up 13.4% of the total population, had much lower LDL values (mean=71.8 mg/dL) compared with the second (mean=148.0 mg/dL), suggesting drug use before first dispensed prescription. Among 16,777 patients filling a generic statin, LDL levels were substantially higher with no evidence of bimodality that would suggest prior sample use.

CONCLUSIONS

These results provide indirect evidence that the initial period of branded medication use may often be missed when using pharmacy claims data to define drug initiation. Further research is needed to examine approaches to better identify incident medication use when assessing short-term effects.

Investigators
Abbreviation
Med Care
Publication Date
2017-04-24
Volume
52
Issue
9
Page Numbers
773-80
Pubmed ID
24984210
Medium
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Full Title
Evidence of sample use among new users of statins: implications for pharmacoepidemiology.
Authors
Li X, Stürmer T, Brookhart MA