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Validation of a patient-level medication regimen complexity index as a possible tool to identify patients for medication therapy management intervention.

Hirsch JD, Metz KR, Hosokawa PW, Libby AM - Pharmacotherapy (2014)

Bottom Line: Adding more-detailed administration directions from EMR data did not improve concordance.Nonsignificant correlation of MRCI scores with age and gender (all cohorts 0.08 and 0.06, respectively) supported MRCI divergent validity.This study used cross-sectional, retrospective patient data for a small number of patients and clinical pharmacists from only two universities; therefore, results may have limited generalizability.

View Article: PubMed Central - PubMed

Affiliation: Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California; Veterans Affairs of San Diego Healthcare System, San Diego, California.

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Related in: MedlinePlus

Analysis steps.
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fig01: Analysis steps.

Mentions: The study was designed to assess the validity of a patient-level MRCI based on expert opinion and systematically varying patient information. The process is depicted in Figure1. The initial step involved an in-person meeting at University of Colorado Anschutz Medical Campus (CU), with collaborators joining by conference call. During that meeting, the MRCI content (or face) validity was assessed by six clinical pharmacists practicing in ambulatory care clinics related to each of the four disease-defined cohorts studied: hypertension (HTN), diabetes mellitus (DM), human immunodeficiency virus infection (HIV), and geriatric depression (GD). Each pharmacist determined if the 65 MRCI items were related to medication regimen complexity and if other items were needed to more fully assess medication regimen complexity.


Validation of a patient-level medication regimen complexity index as a possible tool to identify patients for medication therapy management intervention.

Hirsch JD, Metz KR, Hosokawa PW, Libby AM - Pharmacotherapy (2014)

Analysis steps.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4260116&req=5

fig01: Analysis steps.
Mentions: The study was designed to assess the validity of a patient-level MRCI based on expert opinion and systematically varying patient information. The process is depicted in Figure1. The initial step involved an in-person meeting at University of Colorado Anschutz Medical Campus (CU), with collaborators joining by conference call. During that meeting, the MRCI content (or face) validity was assessed by six clinical pharmacists practicing in ambulatory care clinics related to each of the four disease-defined cohorts studied: hypertension (HTN), diabetes mellitus (DM), human immunodeficiency virus infection (HIV), and geriatric depression (GD). Each pharmacist determined if the 65 MRCI items were related to medication regimen complexity and if other items were needed to more fully assess medication regimen complexity.

Bottom Line: Adding more-detailed administration directions from EMR data did not improve concordance.Nonsignificant correlation of MRCI scores with age and gender (all cohorts 0.08 and 0.06, respectively) supported MRCI divergent validity.This study used cross-sectional, retrospective patient data for a small number of patients and clinical pharmacists from only two universities; therefore, results may have limited generalizability.

View Article: PubMed Central - PubMed

Affiliation: Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California; Veterans Affairs of San Diego Healthcare System, San Diego, California.

Show MeSH
Related in: MedlinePlus