Does a claims diagnosis of autism mean a true case?

被引：111

作者：

Burke, James P. ^{[1
]}

Jain, Anjali ^{[2
]}

Yang, Wenya ^{[2
]}

Kelly, Jonathan P. ^{[2
]}

Kaiser, Marygrace ^{[3
]}

Becker, Laura ^{[1
]}

Lawer, Lindsay ^{[4
]}

Newschaffer, Craig J. ^{[4
]}

机构：

[1] OptumInsight, Eden Prairie, MN USA

[2] Lewin Grp, Falls Church, VA 22042 USA

[3] Eureka Coll, Eureka, CA USA

[4] Drexel Univ, Sch Publ Hlth, Philadelphia, PA USA

来源：

AUTISM | 2014年 / 18卷 / 03期

基金：

美国国家卫生研究院;

关键词：

validation study; autism; Administrative data; chart review; SPECTRUM DISORDERS; PSYCHIATRIC-DISORDERS; INSURED POPULATION; HEALTH PLAN; CHILDREN; MEDICAID; EXPENDITURES; VALIDATION; VALIDITY; SURVEILLANCE;

D O I：

10.1177/1362361312467709

中图分类号：

B844 [发展心理学（人类心理学）];

学科分类号：

040202 ;

摘要：

The purpose of this study was to validate autism spectrum disorder cases identified through claims-based case identification algorithms against a clinical review of medical charts. Charts were reviewed for 432 children who fell into one of the three following groups: (a) more than or equal to two claims with an autism spectrum disorder diagnosis code (n = 182), (b) one claim with an autism spectrum disorder diagnosis code (n = 190), and (c) those who had no claims for autism spectrum disorder but had claims for other developmental or neurological conditions (n = 60). The algorithm-based diagnoses were compared with documented autism spectrum disorders in the medical charts. The algorithm requiring more than or equal to two claims for autism spectrum disorder generated a positive predictive value of 87.4%, which suggests that such an algorithm is a valid means to identify true autism spectrum disorder cases in claims data.

引用

页码：321 / 330

页数：10

共 25 条

[1] Health plan administrative databases can efficiently identify serious myopathy and rhabdomyolysis [J].