Maddigan Sheri L, Farris Karen B, Keating Norah, Wiens Cheryl A, Johnson Jeffrey A
University of Alberta
J Aging Health. 2003 May;15(2):332-52. doi: 10.1177/0898264303251893.
The aim of this project was to identify variables that predicted older adults' ability to manage medications.
The study used a retrospective cohort design and was set in a self-medication program within a rehabilitation hospital. A random sample of charts from 301 participants in the self-medication program was reviewed.
Logistic regression models accounted for 26.7% and 55.8% of the variance in the probability of making one or more self-medication errors during the initial and final weeks of the program, respectively. The importance of cognition in predicting medication management capacity was seen in bivariate and multivariate analyses and through a number of interactions with other predictors. Statistically significant predictors in one or both analyses included medication regimen complexity, Mini-Mental State Exam (MMSE) score, duration of institutionalization, depression, and interactions between (a) medication regimen complexity and MMSE score and (b) ability to cook and MMSE score.
The direct effects of cognition and medication regimen complexity were important predictors of medication management capacity.
本项目的目的是确定能够预测老年人药物管理能力的变量。
本研究采用回顾性队列设计，在一家康复医院的自我药疗项目中进行。对自我药疗项目中301名参与者的病历进行随机抽样审查。
逻辑回归模型分别解释了项目初始周和最后周出现一个或多个自我药疗错误概率方差的26.7%和55.8%。在双变量和多变量分析中以及通过与其他预测因素的一些交互作用，可以看出认知在预测药物管理能力方面的重要性。在一项或两项分析中具有统计学意义的预测因素包括药物治疗方案的复杂性、简易精神状态检查表（MMSE）评分、住院时间、抑郁，以及（a）药物治疗方案复杂性与MMSE评分之间的交互作用和（b）烹饪能力与MMSE评分之间的交互作用。
认知和药物治疗方案复杂性的直接影响是药物管理能力的重要预测因素。
