{"title":"超越多种用药:老年人用药方案复杂性的量化","authors":"Nariman Mansur PharmMs , Avraham Weiss MD , Yichayaou Beloosesky MD","doi":"10.1016/j.amjopharm.2012.06.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p><span>Polypharmacy has been shown to influence outcomes in elderly patients. However, the impact of medication regimen complexity, quantified by the Medication Regimen Complexity Index (MRCI), on health outcomes </span>after discharge of elderly patients has not been studied.</p></div><div><h3>Objective</h3><p>Our aim was to test the convergent, discriminant, and predictive validity of the MRCI in older hospitalized patients with varying functional and cognitive levels.</p></div><div><h3>Methods</h3><p>We retrospectively applied the MRCI to the medication regimen of 212 hospitalized patients and assessed its validity.</p></div><div><h3>Results</h3><p>The mean (SD) MRCI scores for medication regimens and number of medications at discharge were 30.27 (13.95) and 5.95 (2.40), respectively. The MRCI scores were strongly correlated with the number of medications (<em>r</em> <!-->=<!--> <!-->0.94, <em>P</em> <!--><<!--> <!-->0.001) and the number of daily doses (<em>r</em> <!-->=<!--> <!-->0.87, <em>P</em> <!--><<!--> <span>0.001) and increased as the number of medications taken ≥3 times daily increased (27.35, 34.45, and 43.00 for none, 1, and 2 drugs, respectively; </span><em>P</em> <!--><<!--> <!-->0.001). Positive correlations were observed between the Cumulative Illness Rating Scale–Geriatrics score and both the number of medications and the MRCI score (<em>r</em> <!-->=<!--> <!-->0.40, <em>r</em> <!-->=<!--> <!-->0.46, <em>P</em> <!--><<!--> <!-->0.001, respectively). No relationship was found between MRCI scores and the number of medications and age, sex, and postdischarge medication modifications. Patients nonadherent to at least 1 drug were discharged with a higher MRCI score and higher number of medications compared with medication-compliant patients (33.3 and 7.0 vs 27 and 5.8, respectively; <em>P</em> <!--><<!--> <!-->0.01). An inverse correlation was found between overall adherence 1 month after discharge and the MRCI score (<em>r</em> <!-->=<!--> <!-->−0.188, <em>P</em> <!-->= 0.028); however, no such correlation was found regarding the number of medications at discharge.</p></div><div><h3>Conclusions</h3><p>The MRCI showed satisfactory validity and good evidence of classifying regimen complexity over a simple medication count. The MRCI demonstrated application in clinical research and practice in the elderly. However, more studies are needed to investigate its advantage over the number of medications for identifying patients with complex medication regimens and directing interventions to simplify their medication regimen complexity.</p></div>","PeriodicalId":50811,"journal":{"name":"American Journal Geriatric Pharmacotherapy","volume":"10 4","pages":"Pages 223-229"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.amjopharm.2012.06.002","citationCount":"86","resultStr":"{\"title\":\"Looking Beyond Polypharmacy: Quantification of Medication Regimen Complexity in the Elderly\",\"authors\":\"Nariman Mansur PharmMs , Avraham Weiss MD , Yichayaou Beloosesky MD\",\"doi\":\"10.1016/j.amjopharm.2012.06.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p><span>Polypharmacy has been shown to influence outcomes in elderly patients. However, the impact of medication regimen complexity, quantified by the Medication Regimen Complexity Index (MRCI), on health outcomes </span>after discharge of elderly patients has not been studied.</p></div><div><h3>Objective</h3><p>Our aim was to test the convergent, discriminant, and predictive validity of the MRCI in older hospitalized patients with varying functional and cognitive levels.</p></div><div><h3>Methods</h3><p>We retrospectively applied the MRCI to the medication regimen of 212 hospitalized patients and assessed its validity.</p></div><div><h3>Results</h3><p>The mean (SD) MRCI scores for medication regimens and number of medications at discharge were 30.27 (13.95) and 5.95 (2.40), respectively. The MRCI scores were strongly correlated with the number of medications (<em>r</em> <!-->=<!--> <!-->0.94, <em>P</em> <!--><<!--> <!-->0.001) and the number of daily doses (<em>r</em> <!-->=<!--> <!-->0.87, <em>P</em> <!--><<!--> <span>0.001) and increased as the number of medications taken ≥3 times daily increased (27.35, 34.45, and 43.00 for none, 1, and 2 drugs, respectively; </span><em>P</em> <!--><<!--> <!-->0.001). Positive correlations were observed between the Cumulative Illness Rating Scale–Geriatrics score and both the number of medications and the MRCI score (<em>r</em> <!-->=<!--> <!-->0.40, <em>r</em> <!-->=<!--> <!-->0.46, <em>P</em> <!--><<!--> <!-->0.001, respectively). No relationship was found between MRCI scores and the number of medications and age, sex, and postdischarge medication modifications. Patients nonadherent to at least 1 drug were discharged with a higher MRCI score and higher number of medications compared with medication-compliant patients (33.3 and 7.0 vs 27 and 5.8, respectively; <em>P</em> <!--><<!--> <!-->0.01). An inverse correlation was found between overall adherence 1 month after discharge and the MRCI score (<em>r</em> <!-->=<!--> <!-->−0.188, <em>P</em> <!-->= 0.028); however, no such correlation was found regarding the number of medications at discharge.</p></div><div><h3>Conclusions</h3><p>The MRCI showed satisfactory validity and good evidence of classifying regimen complexity over a simple medication count. The MRCI demonstrated application in clinical research and practice in the elderly. However, more studies are needed to investigate its advantage over the number of medications for identifying patients with complex medication regimens and directing interventions to simplify their medication regimen complexity.</p></div>\",\"PeriodicalId\":50811,\"journal\":{\"name\":\"American Journal Geriatric Pharmacotherapy\",\"volume\":\"10 4\",\"pages\":\"Pages 223-229\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.amjopharm.2012.06.002\",\"citationCount\":\"86\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal Geriatric Pharmacotherapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S154359461200089X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal Geriatric Pharmacotherapy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S154359461200089X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 86
摘要
背景:多种药物治疗已被证明会影响老年患者的预后。然而,用药方案复杂性指数(MRCI)量化的用药方案复杂性对老年患者出院后健康结局的影响尚未得到研究。目的:我们的目的是检验MRCI在不同功能和认知水平的老年住院患者中的收敛性、判别性和预测性有效性。方法回顾性分析212例住院患者的用药方案,并对其有效性进行评价。结果两组患者用药方案和出院用药次数的平均(SD) MRCI评分分别为30.27(13.95)和5.95(2.40)。MRCI评分与用药次数密切相关(r = 0.94, P <0.001)和每日剂量数(r = 0.87, P <0.001),且随着每日用药次数≥3次的增加而增加(无用药、1用药和2用药分别为27.35、34.45和43.00;P & lt;0.001)。累积疾病评定量表-老年病学评分与用药次数和MRCI评分呈正相关(r = 0.40, r = 0.46, P <分别为0.001)。MRCI评分与用药数量、年龄、性别和出院后用药修改没有关系。与依从药物治疗的患者相比,不依从至少一种药物治疗的患者出院时MRCI评分更高,服药次数也更多(分别为33.3和7.0 vs 27和5.8;P & lt;0.01)。出院后1个月的总体依从性与MRCI评分呈负相关(r = - 0.188, P = 0.028);然而,在出院时服用药物的数量方面没有发现这种相关性。结论磁共振成像显示了令人满意的有效性和较好的证据分类方案的复杂性比简单的药物计数。磁共振成像在老年患者的临床研究和实践中得到了应用。然而,需要更多的研究来调查其在识别复杂用药方案的患者和指导干预以简化其用药方案复杂性方面的优势。
Looking Beyond Polypharmacy: Quantification of Medication Regimen Complexity in the Elderly
Background
Polypharmacy has been shown to influence outcomes in elderly patients. However, the impact of medication regimen complexity, quantified by the Medication Regimen Complexity Index (MRCI), on health outcomes after discharge of elderly patients has not been studied.
Objective
Our aim was to test the convergent, discriminant, and predictive validity of the MRCI in older hospitalized patients with varying functional and cognitive levels.
Methods
We retrospectively applied the MRCI to the medication regimen of 212 hospitalized patients and assessed its validity.
Results
The mean (SD) MRCI scores for medication regimens and number of medications at discharge were 30.27 (13.95) and 5.95 (2.40), respectively. The MRCI scores were strongly correlated with the number of medications (r = 0.94, P < 0.001) and the number of daily doses (r = 0.87, P < 0.001) and increased as the number of medications taken ≥3 times daily increased (27.35, 34.45, and 43.00 for none, 1, and 2 drugs, respectively; P < 0.001). Positive correlations were observed between the Cumulative Illness Rating Scale–Geriatrics score and both the number of medications and the MRCI score (r = 0.40, r = 0.46, P < 0.001, respectively). No relationship was found between MRCI scores and the number of medications and age, sex, and postdischarge medication modifications. Patients nonadherent to at least 1 drug were discharged with a higher MRCI score and higher number of medications compared with medication-compliant patients (33.3 and 7.0 vs 27 and 5.8, respectively; P < 0.01). An inverse correlation was found between overall adherence 1 month after discharge and the MRCI score (r = −0.188, P = 0.028); however, no such correlation was found regarding the number of medications at discharge.
Conclusions
The MRCI showed satisfactory validity and good evidence of classifying regimen complexity over a simple medication count. The MRCI demonstrated application in clinical research and practice in the elderly. However, more studies are needed to investigate its advantage over the number of medications for identifying patients with complex medication regimens and directing interventions to simplify their medication regimen complexity.