关键词: cost-effectiveness analysis geriatrics medical informatics applications polypharmacy primary care quaternary prevention rational drug use

来  源:   DOI:10.3390/jcm12206549   PDF(Pubmed)

Abstract:
Polypharmacy can result in drug-drug interactions, severe side-effects, drug-disease interactions, inappropriate medication use in the elderly, and escalating costs. This study aims to evaluate nursing home residents\' medication regimens using a rational drug use web assistant developed by researchers to mitigate unnecessary medication usage. This analytical, cross-sectional study included data from nursing home residents recently recorded in a training family health center. Sociodemographic information, medical conditions, and prescribed medications of all patients in the nursing home (n = 99) were documented. Medications were assessed using an artificial intelligence-aided rational drug use web assistant. Instances of inappropriate drug use and calculations of contraindicated drug costs were also recorded. The study revealed that 88.9% (n = 88) of patients experienced polypharmacy, with a mean value of 6.96 ± 2.94 drugs per patient. Potential risky drug-drug interactions were present in 89.9% (n = 89) of patients, contraindicated drug-drug interactions in 20.2% (n = 20), and potentially inappropriate drug use in 86.9% (n = 86). Plans to discontinue 83 medications were estimated to reduce total direct medication costs by 9.1% per month. After the assessment with the rational drug use web assistant, the number of drugs that patients needed to use and polypharmacy decreased significantly. This study concludes that the rational drug use web assistant application, which is more cost-effective than the traditional manual method, assisted by artificial intelligence, and integrated into healthcare services, may offer substantial benefits to family physicians and their geriatric patients.
摘要:
多药可以导致药物-药物相互作用,严重的副作用,药物-疾病相互作用,老年人不适当使用药物,和不断升级的成本。本研究旨在使用研究人员开发的合理药物使用网络助手来评估疗养院居民的药物治疗方案,以减少不必要的药物使用。这种分析,横断面研究包括最近在一家培训家庭保健中心记录的疗养院居民的数据.社会人口统计信息,医疗条件,并记录了疗养院所有患者的处方药(n=99)。使用人工智能辅助的合理药物使用网络助手评估药物。还记录了不适当使用药物的情况和禁忌药物成本的计算。研究显示,88.9%(n=88)的患者经历了多重用药,每个患者的药物平均值为6.96±2.94。89.9%(n=89)的患者存在潜在的危险药物相互作用,20.2%(n=20)的禁忌药物相互作用,86.9%(n=86)的潜在不适当药物使用。停止83种药物的计划估计每月将总直接药物成本降低9.1%。用网络助手评估合理用药后,患者需要使用的药物数量和多重用药显著减少.本研究得出结论,合理用药网络助手的应用,比传统的手工方法更具成本效益,在人工智能的帮助下,并融入医疗保健服务,可以为家庭医生及其老年患者提供实质性的好处。
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