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Evaluation of adjustment methods used to determine prevalence of low birth-weight babies at a rural hospital in Andhra Pradesh, India

机译:评价调整方法,用于确定乡村乡村医院低出生体重婴儿患病率的普遍存在

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摘要

Accurate reporting of prevalence of low birth weight (LBW) is important for monitoring health of a population. LBW is often underestimated in developing countries due to heaping of the data at 2.5 kg. UNICEF uses an average adjustment factor of 25% to re-classify babies listed as exactly 2.5 kg into the LBW category. From October 2009 to February 2010, we weighed 859 consecutive live births at a rural hospital in Andhra Pradesh, India, using analog and digital scales to evaluate the relative validity of the adjustment factor. Significantly more babies weighed exactly 2.5 kg on analog (13.4%) versus digital (2.2%) scales, showing heaping. Percentage of LBW by digital method (29.5%) was significantly higher compared to the analog method (23%) and with adjustment factors (26.4%). Conventional methods of adjusting birth-weight data underestimate the prevalence of LBW. Sensitive digital weighing machines or better adjustment methods are needed to monitor LBW in developing countries.
机译:准确地报告低出生体重(LBW)对监测人口的健康是重要的。由于2.5公斤的数据堆积,LBW通常低估在发展中国家。联合国儿童基金会使用平均调整因子25%来重新分类列出的婴儿,将婴儿身份刻上2.5千克进入LBW类别。从2009年10月到2010年2月,我们在印度安德拉邦的一个农村医院中重达了859名,使用模拟和数字秤来评估调整因子的相对有效性。更多的婴儿对模拟(13.4%)对数字(2.2%)秤相比重达2.5千克,显示堆积。与模拟方法(23%)和调节因子(26.4%)相比,数字方法(29.5%)的LBW百分比显着提高(26.4%)。调整出生体重数据的常规方法低估了LBW的患病率。需要敏感的数字称重机器或更好的调整方法来监控发展中国家的LBW。

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