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Estimating osteoarthritis incidence from population-based administrative health care databases.

机译:通过基于人群的行政医疗数据库估算骨关节炎的发病率。

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摘要

PURPOSE: The aim of the study is to develop a method to estimate osteoarthritis (OA) incidence by using administrative health care databases. METHODS: Using actual counts of OA diagnoses in different periods, we generated an equation that estimated the number of new OA diagnoses based on the length of time used for excluding prevalent OA cases. Physicians billing files from 1983 to 2002 maintained at Alberta Health and Wellness were used to verify the proposed method. Age- and sex-specific and crude OA incidences in 2002 were calculated by using this method. RESULTS: Women aged 50 to 59 years had the greatest incidence. For men, the greatest incidence was in the 60- to 69-year age category. Crude incidences for women and men were 1103 and 934 per 100,000 person-years, respectively. The overall crude rate was 1040 per 100,000 person-years. CONCLUSIONS: Modified power function accurately summarizes the relationship between number of first OA diagnoses and length of the clearance period and thus provides an effective model to estimate OA incidence. Not restricted to OA, this model also can be implemented to estimate incidences of other chronic conditions.
机译:目的:本研究的目的是通过使用行政医疗数据库来开发一种评估骨关节炎(OA)发病率的方法。方法:使用不同时期的OA诊断的实际计数,我们生成了一个方程,该方程根据排除流行OA病例所用的时间长度来估计新的OA诊断的数量。 1983年至2002年在艾伯塔省卫生局(Alberta Health and Wellness)维护的内科医生帐单文件用于验证该方法。使用这种方法可以计算出2002年特定年龄和性别的OA发病率。结果:50至59岁的女性发病率最高。对于男性,发病率最高的是60-69岁年龄段。男女的粗发病率分别为每100,000人年1103和934。总体原油率为每100,000人年1040。结论:修正的幂函数准确地总结了首次OA诊断次数与清除期长度之间的关系,从而为评估OA发病率提供了有效的模型。不限于OA,该模型还可以用于估计其他慢性疾病的发生率。

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