Vertaile menetelmiä
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| Lääkeregimiimin monimutkaisuuden indeksi (MRCI)× | Lääkitysohjeiden Noudattamisen Arviointiasteikko (MARS)× | |
|---|---|---|
| Tieteenala | Farmakologia | Farmakologia |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2012 | 2000 |
| Kehittäjä≠ | Morgado, Rolo, and Castelo-Branco | Kathryn Thompson, Jayashri Kulkarni, and Anthony A. Sergejew |
| Tyyppi≠ | Clinician-rated | Self-report |
| Alkuperäislähde≠ | Morgado, M., Rolo, S., & Castelo-Branco, M. (2012). Pharmacotherapy, 32(7), 652-660. (Original MRCI); Semla, T., & Beizer, J. (2018). American Geriatrics Society Beers Criteria for Potentially Inappropriate Medication Use in Older Adults. Journal of the American Geriatrics Society. link ↗ | Thompson, K., Kulkarni, J., & Sergejew, A. A. (2000). Reliability and validity of a new Medication Adherence Rating Scale (MARS) for the psychoses. Schizophrenia Research, 42(3), 241-247. DOI ↗ |
| Rinnakkaisnimet | MRCI | MARS |
| Liittyvät | 4 | 4 |
| Tiivistelmä≠ | The Medication Regimen Complexity Index (MRCI) is a clinician-administered quantitative measure that objectively assesses the complexity of a patient's medication regimen based on the number of medications, frequency of dosing, and form of administration. Developed by Morgado, Rolo, and Castelo-Branco in 2012, the MRCI quantifies an important adherence barrier—the complexity of taking multiple medications with different schedules and administration routes. The MRCI is unique among adherence tools in that it measures an objective regimen characteristic (not patient behavior or belief), making it useful for deprescribing decisions, medication reconciliation, and identifying high-risk patients for non-adherence due to complexity. | The Medication Adherence Rating Scale (MARS) is a 10-item self-report measure developed by Thompson, Kulkarni, and Sergejew in 2000 to assess medication adherence behaviors and attitudes in psychiatric populations, particularly antipsychotic medication use. Although originally validated in schizophrenia, it has been successfully applied across diverse medical conditions including hypertension, diabetes, and chronic disease management, providing a quick, sensitive assessment of actual adherence frequency and admission of problematic medication-taking behaviors. |
| ScholarGateAineisto ↗ |
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