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如何解释风湿病专科医生在使用泼尼松和二线药物治疗类风湿性关节炎方面存在的差异?

What explains the variation among rheumatologists in their use of prednisone and second line agents for the treatment of rheumatoid arthritis?

作者信息

Criswell L A, Henke C J

机构信息

Rosalind Russell Multipurpose Arthritis Center, Department of Medicine, University of California, San Francisco 94143-0920, USA.

出版信息

J Rheumatol. 1995 May;22(5):829-35.

PMID:8587068
Abstract

OBJECTIVE

To determine the extent to which characteristics of rheumatologists and their practices explain the variation in their use of prednisone and 2nd line agents for the treatment of rheumatoid arthritis (RA).

METHODS

We used multiple logistic regression to examine the relationship between the use of prednisone, hydroxychloroquine, intramuscular gold, and methotrexate, and the following categories of rheumatologist characteristics: professional experience, primary payment method, practice setting, location of rheumatology training, and demographic characteristics. Our explanatory variables also included 12 patient characteristics and a random effect term.

RESULTS

Much of the variation among rheumatologists in the use of these agents is explained by the rheumatologist characteristics. Depending on the agent, professional experience explained 15 to 54%, payment method 3 to 27%, practice setting 6 to 39%, training location 12 to 53%, and demographic characteristics 3 to 23% of the rheumatologist associated variation in use of each agent.

CONCLUSION

There are identifiable characteristics of rheumatologists and their practices that strongly influence their treatment decisions for RA. These findings have important policy implications.

摘要

目的

确定风湿病专家的特征及其医疗行为在多大程度上能够解释他们在使用泼尼松和二线药物治疗类风湿关节炎(RA)方面的差异。

方法

我们使用多元逻辑回归来研究泼尼松、羟氯喹、肌肉注射金制剂和甲氨蝶呤的使用与以下几类风湿病专家特征之间的关系:专业经验、主要支付方式、执业机构、风湿病学培训地点以及人口统计学特征。我们的解释变量还包括12项患者特征和一个随机效应项。

结果

这些药物使用方面风湿病专家之间的差异很大程度上可由风湿病专家的特征来解释。根据药物不同,专业经验解释了每种药物使用中与风湿病专家相关差异的15%至54%,支付方式解释了3%至27%,执业机构解释了6%至39%,培训地点解释了12%至53%,人口统计学特征解释了3%至23%。

结论

风湿病专家及其医疗行为存在一些可识别的特征,这些特征强烈影响他们对RA的治疗决策。这些发现具有重要的政策意义。

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