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殊途同归:卫生服务研究中的统计学家、社会科学家与因果关系

Separated at birth: statisticians, social scientists, and causality in health services research.

机构信息

Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.

出版信息

Health Serv Res. 2011 Apr;46(2):397-420. doi: 10.1111/j.1475-6773.2010.01203.x. Epub 2010 Nov 24.

Abstract

OBJECTIVE

Health services research is a field of study that brings together experts from a wide variety of academic disciplines. It also is a field that places a high priority on empirical analysis. Many of the questions posed by health services researchers involve the effects of treatments, patient and provider characteristics, and policy interventions on outcomes of interest. These are causal questions. Yet many health services researchers have been trained in disciplines that are reluctant to use the language of causality, and the approaches to causal questions are discipline specific, often with little overlap. How did this situation arise? This paper traces the roots of the division and some recent attempts to remedy the situation.

DATA SOURCES AND SETTINGS

Existing literature.

STUDY DESIGN

Review of the literature.

摘要

目的

卫生服务研究是一个将来自各种学术领域的专家聚集在一起的研究领域。它也是一个高度重视实证分析的领域。卫生服务研究人员提出的许多问题都涉及治疗效果、患者和提供者特征以及政策干预对相关结果的影响。这些都是因果问题。然而,许多卫生服务研究人员接受的培训是在那些不愿意使用因果关系语言的学科中进行的,而且因果问题的方法是学科特定的,往往很少有重叠。这种情况是如何产生的?本文追溯了这种分裂的根源以及最近一些试图补救这种情况的尝试。

数据来源和设置

现有文献。

研究设计

文献回顾。

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本文引用的文献

1
Building Bridges Between Structural and Program Evaluation Approaches to Evaluating Policy.
J Econ Lit. 2010 Jun 1;48(2):356-398. doi: 10.1257/jel.48.2.356.
2
Instrumental variables I: instrumental variables exploit natural variation in nonexperimental data to estimate causal relationships.
J Clin Epidemiol. 2009 Dec;62(12):1226-32. doi: 10.1016/j.jclinepi.2008.12.005. Epub 2009 Apr 8.
4
The science of improvement.
JAMA. 2008 Mar 12;299(10):1182-4. doi: 10.1001/jama.299.10.1182.
5
On the Nature of Size Factors.
Genetics. 1918 Jul;3(4):367-74. doi: 10.1093/genetics/3.4.367.
7
Instruments for causal inference: an epidemiologist's dream?
Epidemiology. 2006 Jul;17(4):360-72. doi: 10.1097/01.ede.0000222409.00878.37.
8
Instrumental variables: application and limitations.
Epidemiology. 2006 May;17(3):260-7. doi: 10.1097/01.ede.0000215160.88317.cb.
9
Methods for national population forecasts: a review.
J Am Stat Assoc. 1986 Dec;81(396):888-901. doi: 10.1080/01621459.1986.10478347.

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