Automating the medication regimen complexity index.

ABSTRACT:

Objective

To adapt and automate the medication regimen complexity index (MRCI) within the structure of a commercial medication database in the post-acute home care setting.

Materials and methods

In phase 1, medication data from 89 645 electronic health records were abstracted to line up with the components of the MRCI: dosage form, dosing frequency, and additional administrative directions. A committee reviewed output to assign index weights and determine necessary adaptations. In phase 2 we examined the face validity of the modified MRCI through analysis of automatic tabulations and descriptive statistics.

Results

The mean number of medications per patient record was 7.6 (SD 3.8); mean MRCI score was 16.1 (SD 9.0). The number of medications and MRCI were highly assoc

SUBMITTER: McDonald MV 

PROVIDER: S-EPMC3628060 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature