Groupe d'analyse , Ltée, Montréal, Québec , Canada.
J Med Econ. 2013 Nov;16(11):1290-9. doi: 10.3111/13696998.2013.841705. Epub 2013 Sep 25.
To identify relapse in schizophrenia and the main cost drivers of relapse using a cost-based algorithm.
Multi-state Medicaid data (1997-2010) were used to identify adults with schizophrenia receiving atypical antipsychotics (AP). The first schizophrenia diagnosis following AP initiation was defined as the index date. Relapse episodes were identified based on (1) weeks during the ≥2 years post-index associated with high cost increase from baseline (12 months before the index date) and (2) high absolute weekly cost. A compound score was then calculated based on these two metrics, where the 54% of patients associated with higher cost increase from baseline and higher absolute weekly cost were considered relapsers. Resource use and costs of relapsers during baseline and relapse episodes were compared using incidence rate ratios (IRRs) and bootstrap methods.
In total, 9793 relapsers were identified with a mean of nine relapse episodes per patient. Duration of relapse episodes decreased over time (mean [median]; first episode: 34 [4] weeks; remaining episodes: 8 [1] weeks). Compared with baseline, resource utilization during relapse episodes was significantly greater in pharmacy, outpatient, and institutional visits (hospitalizations, emergency department visits), with IRRs ranging from 1.9-2.4 (all p < 0.0001). Correspondingly, relapse was associated with a mean (95% CI) incremental cost increase of $2459 ($2384-$2539) per week, with institutional visits representing 53% of the increase.
Relapsers and relapse episodes were identified using a cost-based algorithm, as opposed to a more clinical definition of relapse. In addition, their identification was based on the assumption from literature that ~54% of schizophrenia patients will experience at least one relapse episode over a 2-year period.
Significant cost increases were observed with relapse in schizophrenia, driven mainly by institutional visits.
使用基于成本的算法确定精神分裂症的复发和主要复发成本驱动因素。
使用多州医疗补助数据(1997-2010 年)来识别接受非典型抗精神病药物(AP)治疗的精神分裂症成年人。AP 起始后的首次精神分裂症诊断定义为索引日期。复发发作根据以下两种情况确定:(1)在索引后≥2 年期间,与基线相比(索引日期前 12 个月)成本增加幅度较大的周数;(2)绝对每周高成本。然后基于这两个指标计算复合评分,其中 54%的患者基线成本增加幅度较高和绝对每周成本较高被认为是复发者。使用发病率比值(IRR)和自举方法比较基线和复发期间复发者的资源利用和成本。
共确定了 9793 例复发者,每位患者平均有 9 次复发发作。复发发作的持续时间随时间缩短(平均[中位数];首次发作:34[4]周;其余发作:8[1]周)。与基线相比,复发发作期间的药物治疗、门诊和机构就诊(住院、急诊就诊)资源利用率显著增加,IRR 范围为 1.9-2.4(均 P<0.0001)。相应地,复发与每周平均(95%CI)增量成本增加 2459 美元(2384-2539 美元)相关,机构就诊占增量的 53%。
复发者和复发发作是使用基于成本的算法确定的,而不是更具临床意义的复发定义。此外,他们的识别是基于文献中假设的,即约 54%的精神分裂症患者在 2 年内至少会经历一次复发发作。
精神分裂症复发导致成本显著增加,主要由机构就诊驱动。