University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
J Evid Based Integr Med. 2020 Jan-Dec;25:2515690X20936978. doi: 10.1177/2515690X20936978.
Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system causing neurological deterioration over time. The objective of this study was to examine the predictors associated with MS medication use. The categories that were investigated were various alternative treatments such as complementary/alternative medications (CAMs), rehabilitation therapy and psychotherapy services as well as comorbid health conditions. The Survey on Living with Neurological Conditions in Canada (SLNCC) 2011-2012 was used (N = 73 347) to carry out a logistic regression model. Individuals who did not take CAMs were more (OR = 5.44, 95% CI 1.37-9.29) likely to use medications for MS. Having a mood disorder was associated with greater use of MS medications (OR = 5.39, 95% CI 1.60-18.17) while back problems were associated with lower odds of medication use (OR = 0.38, 95% CI 0.15-0.98). These factors need to be taken into consideration when creating effective medication adherence interventions.
多发性硬化症 (MS) 是一种慢性自身免疫性疾病，会影响中枢神经系统，导致神经功能逐渐恶化。本研究旨在探讨与 MS 药物治疗相关的预测因素。研究调查了多种替代治疗方法，如补充/替代药物 (CAMs)、康复治疗和心理治疗服务，以及合并症健康状况。本研究使用了 2011-2012 年加拿大神经疾病生存状况调查 (SLNCC)（N=73347），进行了逻辑回归模型分析。未使用 CAMs 的个体更有可能使用治疗 MS 的药物（OR=5.44，95%CI1.37-9.29）。患有情绪障碍与更频繁地使用 MS 药物相关（OR=5.39，95%CI1.60-18.17），而背部问题与药物使用几率降低相关（OR=0.38，95%CI0.15-0.98）。在制定有效的药物依从性干预措施时，需要考虑这些因素。
