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本文引用的文献

1
Daring to draw causal claims from non-randomized studies of primary care interventions.敢于从初级保健干预措施的非随机研究中得出因果关系结论。
Fam Pract. 2018 Sep 18;35(5):639-643. doi: 10.1093/fampra/cmy005.
2
The impact of team-based primary care on health care services utilization and costs: Quebec's family medicine groups.团队式初级保健对医疗服务利用和成本的影响：魁北克的家庭医学组。
J Health Econ. 2017 Sep;55:76-94. doi: 10.1016/j.jhealeco.2017.06.009. Epub 2017 Jul 1.
3
Does enrollment in multidisciplinary team-based primary care practice improve adherence to guideline-recommended processes of care? Quebec's Family Medicine Groups, 2002-2010.参与多学科团队主导的初级医疗实践是否能提高对指南推荐的医疗流程的依从性？魁北克家庭医学团体，2002 - 2010年。
Health Policy. 2017 Apr;121(4):378-388. doi: 10.1016/j.healthpol.2017.02.001. Epub 2017 Feb 13.
4
Natural Experiments: An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research.自然实验：方法、途径及其对公共卫生干预研究贡献的概述
Annu Rev Public Health. 2017 Mar 20;38:39-56. doi: 10.1146/annurev-publhealth-031816-044327. Epub 2017 Jan 11.
5
The Propensity Score.倾向评分
JAMA. 2015 Oct 20;314(15):1637-8. doi: 10.1001/jama.2015.13480.
6
Using propensity scores in difference-in-differences models to estimate the effects of a policy change.在双重差分模型中使用倾向得分来估计政策变化的影响。
Health Serv Outcomes Res Methodol. 2014 Dec 1;14(4):166-182. doi: 10.1007/s10742-014-0123-z.
7
Methods for evaluating changes in health care policy: the difference-in-differences approach.评估医疗保健政策变化的方法：双重差分法
JAMA. 2014 Dec 10;312(22):2401-2. doi: 10.1001/jama.2014.16153.
8
Good practices for quantitative bias analysis.定量偏倚分析的良好实践。
Int J Epidemiol. 2014 Dec;43(6):1969-85. doi: 10.1093/ije/dyu149. Epub 2014 Jul 30.
9
Characteristics of physicians and patients who join team-based primary care practices: evidence from Quebec's Family Medicine Groups.加入团队式初级医疗服务机构的医生和患者的特征：来自魁北克家庭医学团体的证据。
Health Policy. 2014 Jun;116(2-3):264-72. doi: 10.1016/j.healthpol.2014.02.010. Epub 2014 Feb 18.
10
One-to-many propensity score matching in cohort studies.队列研究中的一对一倾向评分匹配。
Pharmacoepidemiol Drug Saf. 2012 May;21 Suppl 2:69-80. doi: 10.1002/pds.3263.

Difference-in-differences analysis and the propensity score to estimate the impact of non-randomized primary care interventions.

作者信息

Godard-Sebillotte Claire, Karunananthan Sathya, Vedel Isabelle

机构信息

Department of Family Medicine, McGill University, Montreal, Canada.

Ottawa Hospital Research Institute, Ottawa, Canada.

出版信息

Fam Pract. 2019 Mar 20;36(2):247-251. doi: 10.1093/fampra/cmz003.

DOI:10.1093/fampra/cmz003
PMID:30768124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6425463/
Abstract
摘要