Development and Validation of the Medication Regimen Complexity Index

Author:

George Johnson1,Phun Yee-Teng2,Bailey Michael J3,Kong David CM4,Stewart Kay5

Affiliation:

1. Johnson George MPharm, PhD Candidate, Department of Pharmacy Practice, Victorian College of Pharmacy, Monash University, Parkville, Australia

2. Yee-Teng Phun, BPharm Student, Victorian College of Pharmacy, Monash University

3. Michael J Bailey BSc (Hons) MSc (Stats), Biostatistician, Department of Epidemiology and Preventive Medicine, Faculty of Medicine, Monash University

4. David CM Kong MPharm PhD, Lecturer, Department of Pharmacy Practice, Victorian College of Pharmacy, Monash University; Senior Pharmacist, Pharmacy Department, The Alfred Hospital, Melbourne, Australia

5. Kay Stewart BPharm (Hons) PhD, Senior Lecturer, Department of Pharmacy Practice, Victorian College of Pharmacy, Monash University

Abstract

BACKGROUND: Medication regimen attributes, such as the number of drugs, dosage frequency, administration instructions, and the prescribed dosage forms, have been shown to influence patient outcomes. No single tool for quantifying the complexity of general medication regimens has been published in the medical literature. OBJECTIVE: To develop and validate a tool to quantify the complexity of prescribed medication regimens. METHODS: Literature findings and the expertise of the authors were used for developing the tool. Eight pharmacy researchers helped in establishing the tool's face and content validity. The new tool was tested on 134 medication regimens from patients with moderate to severe chronic obstructive pulmonary disease. Six regimens with a spread of scores on the tool were presented to a 5–member expert panel that subjectively ranked these regimens to confirm the tool's criterion-related validity. The relationships between scores on the tool and various independent variables were tested to judge the tool's construct validity. Two raters scored 25 regimens using the tool to test its inter-rater and test—retest reliabilities. RESULTS: A 65–item Medication Regimen Complexity Index (MRCI) was developed. The expert panel had strong agreement (Kendall's W = 0.8; p = 0.001) on their individual rankings of the 6 regimens. The panel's consensus ranking had perfect correlation with the MRCI ranking. The total MRCI score had significant correlation with the number of drugs in the regimen (Spearman's Rho = 0.9; p < 0.0001), but not with the age and gender of the patients. Inter-rater and test—retest reliabilities for the total score and scores for individual sections on the MRCI were ≥0.9. CONCLUSIONS: The MRCI is a reliable and valid tool for quantifying drug regimen complexity with potential applications in both practice and research.

Publisher

SAGE Publications

Subject

Pharmacology (medical)

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