Development and Initial Assessment of the Medication User Self-Evaluation (MUSE) Tool
ABSTRACT BACKGROUND: Using patient-reported data to supplement claims-based indicators may be helpful in identifying Medicare beneficiaries likely to benefit from medication therapy management (MTM) services. OBJECTIVE: Our objective was to develop and initially assess a patient medication user self-evaluation (MUSE) tool to identify Medicare Part D beneficiaries who would benefit from a comprehensive medication review. METHODS: A random sample of 225 patient medication profiles was created from a survey of Medicare beneficiaries; the survey also included demographic characteristics, responses to adherence questions, and reported symptoms. Three clinical pharmacists used the patient profiles to make judgments regarding the likelihood (low, moderate, or high) that each patient would benefit from an MTM visit in the next 3 months. A total of 150 cases were used for model calibration, and 75 were used for validation. Ordinal logistic regression models were fit to predict the likelihood of benefit from an MTM visit by using different combinations of potential MUSE items. Final model selection was based on the Akaike information criterion and the percent agreement between model prediction and expert judgments in the validation data. Measures considered for inclusion in the MUSE tool were related to medication use, medical conditions, and health care utilization. RESULTS: The final MUSE items incorporated number of medications, number of physicians, number of pharmacies, number of hospitalizations in the past 6 months, having forgotten to take medications, cost-related problems, and number of medical conditions. CONCLUSION: The 7-item MUSE tool could be used in targeting MTM services, such as comprehensive medication reviews, among Medicare beneficiaries.
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ABSTRACT: OBJECTIVES To identify factors influencing Medicare Part D beneficiaries' decision to receive pharmacist-provided comprehensive medication reviews (CMRs) and to evaluate their experiences with pharmacist-provided CMRs. DESIGN Cross-sectional descriptive study. SETTING Beneficiaries living in Maryland or Minnesota, from November 2011 to January 2012. PARTICIPANTS Medicare beneficiaries of two Medicare Part D plans who had completed a previous telephone interview for a larger project of medication therapy management quality improvement. INTERVENTION Self-reported mail survey. MAIN OUTCOME MEASURES Responses to survey items assessing beneficiaries' perceived importance of proposed factors affecting their decision to receive CMRs and items evaluating patients' experiences with pharmacist-provided CMRs if they had one in the previous year. RESULTS The valid response rate was 33.4% (238 of 713). Among the proposed factors, "knowing the out-of-pocket cost" (4.12 ± 1.28 [mean ± SD]) and "conducting in the usual pharmacy" (4.01 ± 1.37) were most important in making a decision to get a CMR. Factors rated significantly more important by those who had versus had not received a CMR included "usual pharmacy," "receiving medication list," "physician's support," and "pharmacists discuss changes with physicians." About one-third (30.6%) of respondents reported having pharmacist-provided CMRs within the previous year. Most respondents believed that having CMRs was important for their health (90.6%) and were satisfied with the results of CMRs (94.7%). CONCLUSION Patients preferred their usual pharmacy or convenient places to have a CMR. Also, a collaborative pharmacist-physician working relationship would be helpful in providing CMRs. Patients who received CMRs expressed a positive attitude toward and satisfaction with pharmacist-provided services.Journal of the American Pharmacists Association 09/2013; 53(5):482-7. DOI:10.1331/JAPhA.2013.12233 · 1.24 Impact Factor
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ABSTRACT: The Medication Regimen Complexity Index (MRCI) is a 65-item instrument that can be used to quantify medication regimen complexity at the patient level, capturing all prescribed and over-the-counter medications. Although the MRCI has been used in several studies, the narrow scope of the initial validation limits application at a population or clinical practice level.Pharmacotherapy 08/2014; 34(8). DOI:10.1002/phar.1452 · 2.66 Impact Factor