ABSTRACT

Purpose

To define the prevalence of medical eye disease diagnoses among children enrolled in commercial insurance plans in the United States and to evaluate differences among groups based on the US census region, race/ethnicity, and familial net worth.

Methods

: Retrospective study of de-identified claims data from the OptumLab® Data Warehouse (OLDW) between 2007 and 2018. All children (<19 years) in the OLDW with coverage were studied and those with a claim for a significant eye disease (strabismus, amblyopia, nystagmus or structural eye disorders) with minimum 6-months follow-up were studied. Baseline characteristics were extracted for the calculation of eye disease prevalence, including age, sex, race/ethnicity, region of residence, and family net worth. The prevalence of each type of eye disease was calculated among all children and by baseline characteristics.

Results

: 10,759,066 children met the study criteria. The presence of any significant eye diagnosis was 6.7%. Disease was diagnosed more often in whites (6.9%) than blacks (5.6%) and Hispanics (5.9%). The most common eye disease diagnosed was strabismus (3.2%) followed by amblyopia (1.5%). In the North-East region, there was a 10.6% prevalence of any significant eye disease diagnosis, whereas in the Mid-West, it was 7.4% followed by the South and West (5.9% and 5.3%, respectively) (p < .001). There was an increase in eye disease diagnoses with increasing income (5.5% in<$25,000 and 9.4% in >$500,000 household net worth groups, p > .001).

Conclusion

: Diagnosis of significant eye diseases is relatively common in American children. The most common medical eye disease diagnosis is strabismus. Prevalence of eye disease diagnosis from claims data varies between geographical regions and different income groups. This may reflect differences in healthcare utilization rather than true disease prevalence.

中文翻译：

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optumlabs 数据仓库中儿科眼病的患病率

 抽象的

 目的

旨在确定美国参加商业保险计划的儿童中医学眼病诊断的患病率，并根据美国人口普查地区、种族/族裔和家庭净资产评估各群体之间的差异。

 方法

：对 2007 年至 2018 年间来自 OptumLab® 数据仓库 (OLDW) 的去识别化索赔数据进行回顾性研究。对 OLDW 承保范围内的所有儿童（<19 岁）以及那些声称患有严重眼病（斜视、对弱视、眼球震颤或结构性眼部疾病）进行了至少 6 个月的随访研究。提取基线特征用于计算眼病患病率，包括年龄、性别、种族/民族、居住地区和家庭净资产。根据基线特征计算所有儿童中每种眼病的患病率。

 结果

： 10,759,066 名儿童符合研究标准。存在任何显着眼部诊断的率为 6.7%。白人 (6.9%) 的疾病诊断率高于黑人 (5.6%) 和西班牙裔 (5.9%)。最常见的眼病是斜视（3.2%），其次是弱视（1.5%）。在东北地区，任何重大眼病诊断的患病率为 10.6%，而在中西部地区，这一比例为 7.4%，其次是南部和西部地区（分别为 5.9% 和 5.3%） ( p < .001）。随着收入的增加，眼病诊断率也随之增加（<$25,000 家庭净资产群体中为 5.5%，>$500,000 家庭净资产群体中为 9.4%， p > .001）。

 结论

：严重眼部疾病的诊断在美国儿童中相对常见。最常见的医学眼病诊断是斜视。根据索赔数据诊断眼病的患病率因地理区域和不同收入群体而异。这可能反映了医疗保健利用率的差异，而不是真实的疾病患病率。