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 > or = 0.9. CONCLUSIONS: The MRCI is a reliable and valid tool for quantifying drug regimen complexity with potential applications in both practice and research.
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 > or = 0.9. CONCLUSIONS: The MRCI is a reliable and valid tool for quantifying drug regimen complexity with potential applications in both practice and research.
Authors: Carly M Goldstein; Emily C Gathright; John Gunstad; Mary A Dolansky; Joseph D Redle; Richard Josephson; Shirley M Moore; Joel W Hughes Journal: J Behav Med Date: 2017-02-11
Authors: Kai Sun; Jackie Szymonifka; Henghe Tian; Yaju Chang; Jennifer C Leng; Lisa A Mandl Journal: Arthritis Care Res (Hoboken) Date: 2020-10 Impact factor: 4.794
Authors: Marine Solano; Etienne Daguindau; Cyril Faure; Pierre Loriod; Coline Pain; Anne-Cécile Maes; Pauline Marguet; Marie Kroemer; Anne Rumpler; Jean Fontan; Eric Deconinck; Samuel Limat; Anne-Laure Clairet Journal: Ann Hematol Date: 2021-05-03 Impact factor: 3.673