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, digits=2)

Arguments

df a dataframe created by preData funtion
followUpDays days of total study period. 365 is the default, 12 month follow up.
digits round to decimals. Default is 2

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

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

[Package medAdherence version 1.02 Index]