medCMG {medAdherence}R Documentation

Continuous measure of Medication Gaps

Description

medCMG function calculates the Continuous measure of Medication Gaps. This is non-adherence rate. The higher CMG, the lower adherence rate.

Continuous measure of Medication Gaps (CMG) was estimated by total number of days in treatment gaps (days for which a drug was unavailable) divided by the duration of the time period of interest.

The formula is: (Total Days in Study - Total Days' Supply)/(Total Days in Study) x 100. If numerator is negative, it will be set to '0'.

Usage

medCMG(df=data,followUpDays=365)

Arguments

df a dataframe created by preData funtion
followUpDays days of total study period. 365 is the default, 12 month follow up.

Author(s)

Xiangyang Ye, Pharmacotherapy Outcomes Research Center, University of Utah

References

Steiner, JF and Prochazka, AV The Assessment of Refill Compliance Using Pharmacy Records: Methods, Validity, and Application Journal of Clinical Epidemiology 1997;50:105-116

Hess, LM, Raebel, MA, et al. Measurement of Adherence in Pharmacy Administrative Databases: A Proposal for Statndard Definitions and Preferred Measures The Annals of Pharmacotherapy 2006;40:1280-1288

Examples

data(cmos)
predt <- preRxData(df=cmos,id=ptid,rxDate=rxDay,daySupply=supplies)
medCMG(predt)

[Package medAdherence version 1.01 Index]