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Identifying families with limited english profi ciency using a capture-recapture approach

机译:使用捕获-捕获方法识别英语水平有限的家庭

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BACKGROUND AND OBJECTIVE: Health providers need reliable estimates of the number of families with limited English profi ciency (LEP) to assess language need and language service provision. Hospitals often lack reliable language screening tools and fail to provide interpretation for LEP families. The objective of this study was to develop a simple audit tool to more accurately identify LEP patients and families. Methods: We conducted a cross-sectional analysis of a retrospective cohort of patients admitted to a large pediatric hospital between July 1 and December 31, 2009. We used a "capture- recapture" approach to develop a simple audit tool to measure language screening, determine the rate of language interpretation, and estimate the number of LEP families. The captures were based on 2 independent sources: (1) language need identifi ed at registration and (2) request for interpretation during hospital admission. Assuming a closed population, we estimated the number of LEP families missed by both captures. Results: During the study period, 6887 patients were admitted for care. There were 948 LEP families identifi ed at registration and 847 families received interpretation at least once during hospital admission. We determined that the "ascertainment corrected" number of LEP families was 1031 (95% confi dence interval: 1022-1040). The number of patients who had been "missed" by both methods was 15 (95% confi dence interval: 7-24). Only 76% of LEP patients were identifi ed in both data sources. Conclusions: A simple language audit tool can be used to determine language need, rates of interpretation, and unmet demand for language services, even when both sources of data are incomplete.
机译:背景与目的:卫生服务提供者需要对英语水平有限的家庭数量进行可靠的估计,以评估语言需求和语言服务提供情况。医院通常缺乏可靠的语言检查工具,无法为LEP家庭提供口译服务。这项研究的目的是开发一种简单的审核工具,以更准确地识别LEP患者和家属。方法:我们对2009年7月1日至12月31日在一家大型儿科医院住院的患者进行了回顾性队列分析。我们使用“捕获-捕获”方法开发了一种简单的审核工具来衡量语言筛查,确定语言解释的速度,并估计LEP家庭的数量。捕获的内容基于两个独立的来源:(1)注册时需要确定语言,(2)入院时要求口译。假设人口封闭,我们估计两次捕获都错过的LEP家庭的数量。结果:在研究期间,共有6887例患者接受了护理。登记时识别出948个LEP家庭,入院期间至少有847个家庭接受过一次口译。我们确定LEP家族的“确定校正”数量为1031(95%的置信区间:1022-1040)。两种方法均被“遗漏”的患者人数为15(95%的置信区间:7-24)。在这两个数据源中仅识别出76%的LEP患者。结论:即使两个数据源都不完整,也可以使用简单的语言审核工具来确定语言需求,口译率和未满足的语言服务需求。

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