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基于社区的家庭医学住院医师培训项目中的诊断聚类频率。与大型门诊数据集的比较。

Diagnosis cluster frequency in a community-based family practice residency program. Comparison with large ambulatory data sets.

作者信息

Shear C L, Wall E M

出版信息

West J Med. 1985 Jun;142(6):854-7.

Abstract

Ambulatory encounters in a community-based family practice residency program were analyzed using diagnosis clusters. During an 18-month period (July 1982 through December 1983), demographic information and clinical diagnoses for 44,453 successive patient visits were collected and stored in a computerized data base. The 30 most frequent diagnosis clusters accounted for 70% of all recorded clinical diagnoses. Comparison with NAMCS, USC-MAMP (Western Region) and Virginia studies revealed a younger, more indigent population with a higher frequency of visits for hypertension, prenatal and postnatal care, diabetes, chronic respiratory illness and congestive heart failure. Consistent with the other large ambulatory data sets, the general medical examination, hypertension and acute upper respiratory conditions were the most frequent diagnosis clusters. Differences with other reported data sets reflected the site-specific demographic characteristics of patients and providers, regional and environmental influences on the incidence of specific disease states and the relative abundance of other subspecialist physicians. Such local or regional data bases not only provide valuable information as to clinical content but also may help in identifying previously unrecognized health problems.

摘要

利用诊断聚类分析法对一个以社区为基础的家庭医疗住院医师培训项目中的门诊病例进行了分析。在18个月期间(1982年7月至1983年12月),收集了44453例连续患者就诊的人口统计学信息和临床诊断,并存储在计算机数据库中。30个最常见的诊断聚类占所有记录临床诊断的70%。与国家门诊医疗调查(NAMCS)、美国南部社区医疗项目(USC-MAMP,西部地区)及弗吉尼亚州的研究结果相比,该项目中的患者群体更年轻、贫困程度更高,高血压、产前和产后护理、糖尿病、慢性呼吸道疾病及充血性心力衰竭的就诊频率更高。与其他大型门诊数据集一致,普通体格检查、高血压及急性上呼吸道疾病是最常见的诊断聚类。与其他已报告数据集的差异反映了患者和医疗服务提供者的特定地点人口统计学特征、特定疾病发病率的区域和环境影响以及其他专科医生的相对数量。这样的本地或区域数据库不仅能提供有关临床内容的有价值信息,还可能有助于识别以前未被认识到的健康问题。

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