Unlocking the Potential of Telemedicine in Epilepsy: Noninferiority Analysis of Efficacy and Identifying Patient Preferences.

IF 2.3 Q3 CLINICAL NEUROLOGY
Neurology. Clinical practice Pub Date : 2025-04-01 Epub Date: 2025-03-24 DOI:10.1212/CPJ.0000000000200459
Ruta Yardi, Christopher J McLouth, Ana M Roman Guzman, Rani Priyanka Vasireddy, Sally V Mathias, Lara Jehi
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引用次数: 0

Abstract

Background and objectives: This study was undertaken to compare the effectiveness of telemedicine visits with traditional in-person visits for epilepsy care and simultaneously attempts to identify patient demographics favoring telehealth.

Methods: We retrospectively collected demographic and clinical data from all adult epilepsy clinic visits at the University of Kentucky between July 2021 and September 2022. A propensity model using inverse probability of treatment weighting was constructed to examine the association between these variables and the choice of telemedicine vs in-person visits. The study investigated the effect of visit type on 5 specific clinical outcomes, using stabilized weights derived from the propensity model to adjust for confounding. Noninferiority analyses were conducted to compare telemedicine and in-person visits, with a predefined noninferiority margin set at a difference in proportions of 0.10.

Results: Among 442 encounters included in the final analysis, 155 (35.1%) were in-person, while 287 (64.9%) were virtual. Telemedicine was noninferior to in-person visits for making antiseizure medication (ASM) regimen changes, discussing epilepsy surgery, and in postvisit emergency department visits for breakthrough seizures. The incidence of postvisit seizures and abnormalities on neurologic examination between visit modalities differed but did not meet the criteria for noninferiority. A propensity model identified 3 key variables influencing the decision to choose telehealth-age, distance to the clinic, and presence of a significant other. The likelihood of preferring telehealth increased by 42% for every 10-year decrease in age. Similarly, with every 50 miles an individual had to drive, their preference for a telemedicine visit increased by 33%. Finally, individuals in a relationship were more likely to prefer telehealth visits.

Discussion: Telemedicine proves to be an effective and noninferior alternative to in-person appointments, proving particularly beneficial in overcoming geographic barriers to access. A hybrid model of mixed visit types can help overcome the limitations of conducting a thorough neurologic examination. Younger individuals, those facing long travel distances, and patients with significant others prefer current telemedicine technology. This emphasizes the need for future advancements in more user-friendly and affordable technology tailored toward diverse demographic needs.

释放远程医疗在癫痫中的潜力:疗效的非劣效性分析和确定患者的偏好。
背景和目的:本研究旨在比较远程医疗就诊与传统的癫痫患者面对面就诊的有效性,同时试图确定倾向于远程医疗的患者人口统计学特征。方法:我们回顾性收集了2021年7月至2022年9月期间肯塔基大学所有成人癫痫门诊就诊的人口统计学和临床数据。构建了一个使用治疗加权逆概率的倾向模型,以检验这些变量与远程医疗选择与亲自就诊之间的关系。本研究调查了就诊类型对5个特定临床结果的影响,使用从倾向模型中导出的稳定权重来调整混杂因素。进行非劣效性分析来比较远程医疗和现场就诊,预定义的非劣效性裕度设置为0.10的差异比例。结果:在最终分析的442次会面中,155次(35.1%)是面对面的,287次(64.9%)是虚拟的。远程医疗在改变抗癫痫药物(ASM)治疗方案、讨论癫痫手术以及治疗后突发性癫痫发作的急诊科就诊方面不逊于现场就诊。就诊后癫痫发作和神经系统检查异常的发生率不同,但不符合非劣效性标准。倾向模型确定了影响远程医疗决策的3个关键变量——年龄、到诊所的距离和重要他人的存在。年龄每下降10岁,倾向远程医疗的可能性增加42%。同样,每行驶50英里,人们对远程医疗访问的偏好增加了33%。最后,处于恋爱关系中的个人更倾向于远程医疗访问。讨论:远程医疗证明是面对面预约的一种有效的、不逊色的替代方案,尤其有利于克服地理障碍。混合访问类型的混合模型可以帮助克服进行彻底神经系统检查的局限性。年轻人,那些面临长途旅行的人,以及有重要他人的患者更喜欢当前的远程医疗技术。这强调了未来需要在更方便用户和负担得起的技术方面取得进展,以适应不同的人口需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurology. Clinical practice
Neurology. Clinical practice CLINICAL NEUROLOGY-
CiteScore
4.00
自引率
0.00%
发文量
77
期刊介绍: Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.
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