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使用多重估计器从医疗就诊记录中进行患者层面的估计。

Making patient-level estimates from medical encounter records using a multiplicity estimator.

作者信息

Burt Catharine W, Hing Esther

机构信息

Division of Health Care Statistics, CDC's National Center for Health Statistics, 3311 Toledo Road, 3rd floor, Hyattsville, MD 20782, USA.

出版信息

Stat Med. 2007 Apr 15;26(8):1762-74. doi: 10.1002/sim.2797.

Abstract

The National Ambulatory Medical Care Survey (NAMCS) is a nationally representative survey of medical encounters in physician offices in the United States. Data from this survey and its counterpart in hospitals, the National Hospital Ambulatory Medical Care Survey (NHAMCS), have been used to investigate physician treatment and prescribing patterns. A limitation of these data, however, is that they represent visits rather than patients. Starting in 2001, the survey questionnaires began collecting information on the number of past visits the patient had to the sample provider during the one-year period prior to the sampled visit. This information was used to estimate number of patients from the NAMCS and NHAMCS visit data using a multiplicity estimator. The resulting distribution of patients by the number of annual visits is similar to the distribution of persons in the U.S. making ambulatory care visits from a population-based survey. This estimation technique may be useful in estimating patients with clinical characteristics that are difficult to collect from a population-based survey. Published in 2007 by John Wiley & Sons, Ltd.

摘要

美国国家门诊医疗调查(NAMCS)是一项对美国医生办公室医疗问诊情况具有全国代表性的调查。该调查数据及其在医院的对应数据,即国家医院门诊医疗调查(NHAMCS),已被用于研究医生的治疗和处方模式。然而,这些数据的一个局限性在于它们代表的是就诊次数而非患者人数。从2001年开始,调查问卷开始收集患者在抽样就诊前一年期间到样本提供者处就诊的次数信息。利用多重估计量,这些信息被用于从NAMCS和NHAMCS就诊数据中估算患者人数。按年度就诊次数得出的患者分布情况,与基于人口调查得出的美国进行门诊医疗就诊的人群分布情况相似。这种估计技术在估算具有难以从基于人口调查中收集的临床特征的患者人数时可能会很有用。由约翰·威利父子有限公司于2007年出版。

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