应用STOPP标准和衰弱指数评价三级教学医院老年患者的处方适宜性和衰弱程度

S. Nariya, A. Pillai, Sneha Agravat
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引用次数: 0

摘要

到2021年,65岁以上的人口将占印度总人口的10.7%。印度有7.7%的人口超过60岁,因此被贴上了“老龄化国家”的标签。老年患者暴露于潜在的不适当药物(PIM),因此需要提高生活质量和处方安全性的策略。其中一个明确的标准工具是“老年人潜在不合适处方筛选工具”(STOPP)标准。对于老年人来说,虚弱起着决定性的作用。脆弱性评估有助于识别风险分层,以帮助临床决策。因此,本研究旨在使用STOPP标准评估PIM的百分比,以及在我们的环境中老年患者的PIMS和虚弱指数(FI)之间的相关性。对三级护理教学医院内科的60名患者进行了观察性研究。人口统计学细节、诊断和当前药物记录在Microsoft excel 2016中。计算并分析了基于STOPP标准第2版和Searle等人提出的FI的PIM。Spearman秩相关检验用于检验FI和PIM之间的相关性。在60个处方中,发现了21个PIM处方。PIM最常见的处方药是阿司匹林、钙、头孢曲松、复合维生素B和速尿。FI采用34个变量进行分析。FI值在0.03到0.17之间。Spearman-Rank相关性检验显示FI和PIM之间的直接低显著相关性,相关(r)值为0.1602(P值=0.02)。在我们的研究中,35%的处方至少有一种PIM,我们发现FI和PIM之间存在直接关联,这将有助于我们减少潜在的用药错误、药物相互作用和不良反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation of the appropriateness of prescribing and frailty in elderly patients using STOPP criteria and Frailty Index in tertiary care teaching hospital
People above 65 years of age would amount to 10.7% of total population of India by 2021. India has acquired the label of ‘an ageing nation’ with 7.7% of its population being more than 60 years old. Geriatric patients are exposed to potentially inappropriate medications (PIMs) thus strategies to improve quality of life and safety of prescribing is needed. One such explicit criteria tool is ‘Screening Tool of Older person’s Potentially inappropriate Prescriptions’ (STOPP) criteria. For older individuals, frailty plays a decisive role. Frailty assessment is useful for identification of risk stratifications to assist in clinical decision makings. Hence, this study is aimed to assess the percentage of PIM using STOPP criteria and correlation between PIMS and Frailty Index (FI) in elderly patients in our setting. An observational study was done in 60 patients in department of medicine at tertiary care teaching hospital. Demographic details, diagnosis and current medications were recorded in Microsoft excel 2016. PIMs based on STOPP criteria version 2 and FI suggested by Searle et al. was calculated and analyzed. Spearman rank correlation test was used to check the correlation between FI and PIM. Out of 60 prescriptions, 21 prescriptions with PIM were found. Most common drugs prescribed as PIM were Aspirin, calcium, ceftriaxone, multivitamin B complex and furosemide. FI was analyzed by using 34 variables. Value of FI was between 0.03 to 0.17. Spearman Rank correlation test showed direct low degree of significant correlation between FI and PIM with correlation (r) value of 0.1602 (P value=0.02). 35% of prescriptions were having at least one PIM in our study and we found that there was direct association between FI and PIM which will help us to reduce potential medication errors, drug interactions and adverse reactions.
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