Suppr超能文献

信息时代医生对需求诱导供应的看法:潜在类别模型分析。

Physicians' perception of demand-induced supply in the information age: a latent class model analysis.

机构信息

Division of Quantitative Sciences, Department of Biostatistics, Section of Health Services Research, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.

出版信息

Health Econ. 2012 Mar;21(3):252-69. doi: 10.1002/hec.1710. Epub 2011 Jan 31.

Abstract

This paper introduces a concept called 'demand-induced supply' that reflects the excess supply of services due to an increase in demand initiated by patients. We examine its association with the proportion of information-savvy patients in physicians' practice. Using data from a national representative physician survey, we apply latent class models to analyze this association. Our analyses categorize physicians into three 'types' according to the frequency with which they provided additional medical services at their patients' requests: frequent, occasional, and rare. The proportion of information-savvy patients is significantly and positively correlated with demand-induced supply for the frequent or occasional type, but not among physicians in the rare type. Efforts to contain healthcare costs through utilization control need to recognize the pattern of responses from physicians who treat an increasing number of information-savvy patients.

摘要

本文介绍了一个概念,即“需求诱导供给”,它反映了由于患者需求增加而导致的服务过度供给。我们考察了它与医生实践中信息灵通患者比例的关联。我们使用来自全国代表性医生调查的数据,应用潜在类别模型来分析这种关联。我们的分析根据医生根据患者要求提供额外医疗服务的频率将医生分为三种“类型”:频繁、偶尔和罕见。信息灵通患者的比例与频繁或偶尔类型的需求诱导供给显著正相关,但在罕见类型的医生中则没有。通过利用控制来控制医疗保健成本的努力需要认识到治疗越来越多信息灵通患者的医生的反应模式。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验