Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees.

IF 3 Q2 PSYCHIATRY Schizophrenia (Heidelberg, Germany) Pub Date : 2024-08-22 DOI:10.1038/s41537-024-00490-0
Molly T Finnerty, Atif Khan, Kai You, Rui Wang, Gyojeong Gu, Deborah Layman, Qingxian Chen, Noémie Elhadad, Shalmali Joshi, Paul S Appelbaum, Todd Lencz, Sander Markx, Steven A Kushner, Andrey Rzhetsky
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Abstract

Given the chronic nature of schizophrenia, it is important to examine age-specific prevalence and incidence to understand the scope of the burden of schizophrenia across the lifespan. Estimates of lifetime prevalence of schizophrenia have varied widely and have often relied upon community-based data estimates from over two decades ago, while more recent studies have shown considerable promise by leveraging pooled datasets. However, the validity of measures of schizophrenia, particularly new onset schizophrenia, has not been well studied in these large health databases. The current study examines prevalence and validity of incidence measures of new diagnoses of schizophrenia in 2019 using two U.S. administrative health databases: MarketScan, a national database of individuals receiving employer-sponsored commercial insurance (N = 16,365,997), and NYS Medicaid, a large state public insurance program (N = 4,414,153). Our results indicate that the prevalence of schizophrenia is over 10-fold higher, and the incidence two-fold higher, in the NYS Medicaid population compared to the MarketScan database. In addition, prevalence increased over the lifespan in the Medicaid population, but decreased in the employment based MarketScan database beginning in early adulthood. Incident measures of new diagnoses of schizophrenia had excellent validity, with positive predictive values and specificity exceeding 95%, but required a longer lookback period for Medicaid compared to MarketScan. Further work is needed to leverage these findings to develop robust clinical outcome predictors for new onset of schizophrenia within large administrative health data systems.

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商业健康保险和医疗补助参保者中精神分裂症的流行率和发病率测量。
鉴于精神分裂症的慢性性质,研究特定年龄段的患病率和发病率对于了解精神分裂症对整个生命周期造成的负担范围非常重要。对精神分裂症终生患病率的估计差异很大,而且往往依赖于二十多年前基于社区的数据估计,而最近的研究则通过利用集合数据集显示出了相当大的前景。然而,在这些大型健康数据库中,对精神分裂症(尤其是新发精神分裂症)测量指标的有效性还没有进行过深入研究。本研究利用两个美国行政卫生数据库对 2019 年精神分裂症新诊断发病率测量的流行性和有效性进行了研究:这两个数据库分别是:MarketScan,这是一个关于接受雇主赞助的商业保险的个人的全国性数据库(N = 16,365,997),以及纽约州医疗补助(NYS Medicaid),这是一个大型的州公共保险项目(N = 4,414,153)。我们的研究结果表明,与 MarketScan 数据库相比,纽约州医疗补助人群的精神分裂症患病率高出 10 倍以上,发病率高出 2 倍。此外,在医疗补助人群中,精神分裂症的患病率随年龄增长而增加,但在以就业为基础的 MarketScan 数据库中,患病率则从成年早期开始下降。精神分裂症新诊断的事件测量具有良好的有效性,阳性预测值和特异性均超过 95%,但与 MarketScan 相比,Medicaid 需要更长的回溯期。需要进一步开展工作,利用这些发现在大型健康管理数据系统中开发出稳健的精神分裂症新发临床结果预测指标。
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