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Development and assessment of an abbreviated medication regimen complexity index (the A-MRCI).
Scrivens, Rebekah P; Liu, Ina; Niznik, Joshua D; Colmenares, Evan W; Vest, Mary-Haston; Jacobson, Jennifer; Deyo, Zachariah M.
Afiliación
  • Scrivens RP; Department of Pharmacy, UNC Health, Chapel Hill, NC, and UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
  • Liu I; Department of Pharmacy, UNC Health, Chapel Hill, NC, and UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
  • Niznik JD; Division of Geriatrics and Center for Aging and Health, UNC School of Medicine, Chapel Hill, NC, and Division of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
  • Colmenares EW; Department of Pharmacy, UNC Health, Chapel Hill, NC, and Division of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
  • Vest MH; Department of Pharmacy, UNC Health, Chapel Hill, NC, and UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
  • Jacobson J; UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
  • Deyo ZM; Department of Pharmacy, UNC Health, Chapel Hill, NC, and PACE Division, UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
Am J Health Syst Pharm ; 2024 Jul 22.
Article en En | MEDLINE | ID: mdl-39037046
ABSTRACT
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PURPOSE:

Adaptation of the Medication Regimen Complexity Index (MRCI) for automation in an electronic medical record has the potential to improve medication optimization and patient outcomes. The purpose of this study was to develop and evaluate an abbreviated medication regimen complexity index (A-MRCI) and compare its associations with patient-level factors to those of the MRCI.

METHODS:

The MRCI was modified via several rounds of review with an expert panel of clinical pharmacists and outcomes researchers. Medication data from 138 electronic health records were abstracted to calculate MRCI and A-MRCI scores for dosage form, dosing frequency, and additional directions. Comparison between indices was performed using inferential statistics for a 1-month sample of patients admitted to a cardiology or advanced heart failure service in 2017.

RESULTS:

A-MRCI scores were higher than MRCI scores (mean difference of 3.97, P < 0.0005; 95% CI, 2.21-5.71). A significant association was observed between the A-MRCI score and both length of stay (P = 0.0005) and polypharmacy (P < 0.0005), whereas an association between MRCI score and the patient-level factors examined was not demonstrated.

CONCLUSION:

On average, A-MRCI scores were higher and more likely to be associated with several patient-level factors. Internal analyses show the potential for integration into an electronic health record for automation. However, further exploration of the A-MRCI in a larger external validation sample is warranted.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Health Syst Pharm Asunto de la revista: FARMACIA / HOSPITAIS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Health Syst Pharm Asunto de la revista: FARMACIA / HOSPITAIS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido