Vadiei Nina, El-Ali Jasim, Delaune Joss, Wild Cecilia, Liu Yi-Shao
The University of Arizona, Department of Pharmacy Practice and Science, College of Pharmacy, Tucson, AZ, United States.
The University of Texas at Austin, Health Outcomes Division, College of Pharmacy, Austin, TX, United States.
Explor Res Clin Soc Pharm. 2022 Jun 9;6:100148. doi: 10.1016/j.rcsop.2022.100148. eCollection 2022 Jun.
Evidence increasingly suggests minimal differences in efficacy between oral antipsychotics for the pharmacologic treatment of schizophrenia. As a result, newer treatment guidelines avoid an algorithmic approach to antipsychotic selection and recommend treatment be determined on a case-by-case basis.
To determine patterns and predictors of oral antipsychotic prescribing for adults diagnosed with schizophrenia.
This is a retrospective, cross-sectional study using data from the National Ambulatory Medical Survey (NAMCS) from 2005 to 2016 and 2018. Treatment options were defined as a first-generation antipsychotic (FGA), second-generation antipsychotic (SGA), or no antipsychotic. Multivariable logistic regression analysis was conducted to identify predictors of antipsychotic treatment, adjusting for predisposing, enabling, and need factors.
The final study sample consisted of visits by 38,403 adults (unweighted = 1932; age ≥ 18) diagnosed with schizophrenia in the United States. Risperidone, olanzapine, and quetiapine were the most prescribed antipsychotics. Patients ≥65 years old were half as likely to be prescribed an SGA versus no antipsychotic (OR 0.44, 95% CI [0.31, 0.61]). Patients with a higher number of chronic conditions also had lower odds of being prescribed an SGA or FGA versus no antipsychotic (OR 0.98 [0.97, 0.99]; OR [0.96 [0.96, 0.99]), while patients prescribed a higher number of medications had higher odds of being prescribed an SGA versus no antipsychotic (OR 1.2, 95% CI [1.1, 1.4]).
Multiple factors were associated with prescribing an SGA or FGA versus no antipsychotic, but no factors were associated with prescribing an SGA versus FGA. Future studies are needed to determine the reasoning behind differences in antipsychotic prescribing.
越来越多的证据表明,用于精神分裂症药物治疗的口服抗精神病药物在疗效上差异极小。因此,新的治疗指南避免采用算法式方法来选择抗精神病药物,而是建议根据具体情况确定治疗方案。
确定诊断为精神分裂症的成年人口服抗精神病药物处方的模式和预测因素。
这是一项回顾性横断面研究,使用了2005年至2016年以及2018年的美国国家门诊医疗调查(NAMCS)数据。治疗选择被定义为第一代抗精神病药物(FGA)、第二代抗精神病药物(SGA)或不使用抗精神病药物。进行多变量逻辑回归分析以确定抗精神病药物治疗的预测因素,并对易患因素、促成因素和需求因素进行了调整。
最终研究样本包括美国38403名被诊断为精神分裂症的成年人的就诊情况(未加权=1932;年龄≥18岁)。利培酮、奥氮平和喹硫平是处方最多的抗精神病药物。65岁及以上的患者被处方SGA而非不使用抗精神病药物的可能性只有一半(比值比0.44,95%置信区间[0.31,0.61])。患有慢性病数量较多的患者被处方SGA或FGA而非不使用抗精神病药物的几率也较低(比值比0.98[0.97,0.99];比值比[0.96[0.96,0.99]),而被处方药物数量较多的患者被处方SGA而非不使用抗精神病药物的几率较高(比值比1.2,95%置信区间[1.1,1.4])。
多个因素与处方SGA或FGA而非不使用抗精神病药物有关,但没有因素与处方SGA而非FGA有关。未来需要开展研究以确定抗精神病药物处方差异背后的原因。