Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Escala de Autoeficacia en la Comprensión y Uso de Medicamentos (MUSE-S)× | Cuestionario de Creencias sobre Medicamentos (BMQ)× | |
|---|---|---|
| Campo | Farmacología | Farmacología |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2009 | 1999 |
| Autor original≠ | Sunil Kripalani, Jill Risser, Monica E. Gatti, and Thomas A. Jacobson | Rob Horne, John Weinman, and Michelle Hankins |
| Tipo | Self-report | Self-report |
| Fuente seminal≠ | Kripalani, S., Risser, J., Gatti, M. E., & Jacobson, T. A. (2009). Development and validation of a simple questionnaire to measure medication understanding. Medical Care, 47(3), 340-348. link ↗ | Horne, R., Weinman, J., & Hankins, M. (1999). The Beliefs about Medicines Questionnaire: The development and evaluation of a new method for assessing the cognitive representation of medication. Psychology & Health, 14(1), 1-24. DOI ↗ |
| Alias | MUSE-S | BMQ |
| Relacionados | 4 | 4 |
| Resumen≠ | The Medication Understanding and Use Self-Efficacy Scale (MUSE-S) is a brief, patient-centered self-report measure assessing both knowledge and confidence regarding medication use. Developed by Kripalani and colleagues at Emory University in 2009, the MUSE-S evaluates whether patients understand their medications (what they are for, how to take them, important side effects) and feel confident managing them in daily life. This dual focus on knowledge and self-efficacy makes the MUSE-S particularly valuable for identifying education gaps, assessing health literacy barriers to medication adherence, and evaluating outcomes of medication counseling or education interventions. | The Beliefs about Medicines Questionnaire (BMQ) is an 18-item self-report measure developed by Horne, Weinman, and Hankins in 1999 to assess patients' cognitive beliefs about necessity of medications and concerns about potential adverse effects. It is widely used in clinical research to predict medication adherence, particularly in chronic disease management, and has demonstrated strong predictive validity across diverse populations and disease contexts. |
| ScholarGateConjunto de datos ↗ |
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