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本文引用的文献

1
The analysis of count data: a gentle introduction to poisson regression and its alternatives.计数数据的分析:泊松回归及其替代方法简介
J Pers Assess. 2009 Mar;91(2):121-36. doi: 10.1080/00223890802634175.
2
A controlled trial of the effectiveness of internet continuing medical education.互联网继续医学教育效果的对照试验。
BMC Med. 2008 Dec 4;6:37. doi: 10.1186/1741-7015-6-37.
3
Spaced education improves the feedback that surgical residents give to medical students: a randomized trial.间隔式教育改善了外科住院医师给医学生的反馈:一项随机试验。
Am J Surg. 2009 Feb;197(2):252-7. doi: 10.1016/j.amjsurg.2008.01.025. Epub 2008 Aug 22.
4
Online spaced education to teach urology to medical students: a multi-institutional randomized trial.在线间隔教育向医学生传授泌尿外科知识:一项多机构随机试验。
Am J Surg. 2009 Jan;197(1):89-95. doi: 10.1016/j.amjsurg.2007.10.026. Epub 2008 Jul 9.
5
Standards of medical care in diabetes--2008.2008年糖尿病医疗护理标准
Diabetes Care. 2008 Jan;31 Suppl 1:S12-54. doi: 10.2337/dc08-S012.
6
Reasons for not intensifying medications: differentiating "clinical inertia" from appropriate care.不强化药物治疗的原因:区分“临床惰性”与适当治疗。
J Gen Intern Med. 2007 Dec;22(12):1648-55. doi: 10.1007/s11606-007-0433-8. Epub 2007 Oct 24.
7
Multiple measures of provider participation in Internet delivered interventions.衡量提供者参与互联网干预措施的多种方法。
Stud Health Technol Inform. 2007;129(Pt 2):1401-5.
8
Narrative review: lack of evidence for recommended low-density lipoprotein treatment targets: a solvable problem.叙述性综述:推荐的低密度脂蛋白治疗靶点缺乏证据:一个可解决的问题。
Ann Intern Med. 2006 Oct 3;145(7):520-30. doi: 10.7326/0003-4819-145-7-200610030-00010.
9
Accuracy of physician self-assessment compared with observed measures of competence: a systematic review.与观察到的能力指标相比,医生自我评估的准确性:一项系统综述。
JAMA. 2006 Sep 6;296(9):1094-102. doi: 10.1001/jama.296.9.1094.
10
Defining participant exposure measures in Web-based health behavior change programs.定义基于网络的健康行为改变项目中的参与者暴露测量指标。
J Med Internet Res. 2006 Aug 30;8(3):e15. doi: 10.2196/jmir.8.3.e15.

医生参与基于网络的继续医学教育是否与患者的基线糖化血红蛋白水平相关?农村糖尿病在线护理研究。

Is physician engagement with Web-based CME associated with patients' baseline hemoglobin A1c levels? The Rural Diabetes Online Care study.

机构信息

Division of Continuing Medical Education, University of Alabama at Birmingham, Birmingham, Alabama 35294-0019, USA.

出版信息

Acad Med. 2010 Sep;85(9):1511-7. doi: 10.1097/ACM.0b013e3181eac036.

DOI:10.1097/ACM.0b013e3181eac036
PMID:20736679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3158730/
Abstract

PURPOSE

To investigate the association between physician participants' levels of engagement in a Web-based educational intervention and their patients' baseline diabetes measures.

METHOD

The authors conducted a randomized trial of online CME activities designed to improve diabetes care provided by family, general, and internal medicine physicians in rural areas of 11 southeastern states between September 2006 and July 2008. Using incidence rate ratios derived from negative binomial models, the relationship between physicians' engagement with the study Web site and baseline proportion of their patients having controlled diabetes (hemoglobin A1c < or = 7%) was explored.

RESULTS

One hundred thirty-three participants (intervention = 64; control = 69) provided information for 1,637 patients with diabetes. In the intervention group, physicians in practices in the worst quartiles of A1c control were least engaged with the study Web site in nearly all dimensions. Total number of pages viewed decreased as quartile of A1c control worsened (137, 73, 68, 57; P = .007); similarly, for a given 10% increase in proportion of patients with controlled A1c, participants viewed 1.13 times more pages (95% CI: 1.02-1.26, P = .02). In the control group, engagement was neither correlated with A1c control nor different across quartiles of A1c control.

CONCLUSIONS

Engagement in Web-based interventions is measurable and has important implications for research and education. Because physicians of patients with the greatest need for improvement in A1c control may not use online educational resources as intensely as others, other strategies may be necessary to engage these physicians in professional development activities.

摘要

目的

调查医师参与基于网络的教育干预的程度与其患者的糖尿病基线指标之间的关联。

方法

作者开展了一项随机试验,研究了在线继续医学教育活动,旨在提高 11 个东南部州农村地区的家庭医生、全科医生和内科医生提供的糖尿病护理质量。使用负二项式模型得出的发病率比,探讨了医生对研究网站的参与程度与他们患者的糖尿病控制比例(糖化血红蛋白 A1c≤7%)之间的关系。

结果

133 名参与者(干预组 64 名,对照组 69 名)为 1637 名糖尿病患者提供了信息。在干预组中,糖化血红蛋白控制最差的四分位数的医生在几乎所有维度上对研究网站的参与度最低。所查看的页面总数随着糖化血红蛋白控制四分位数的恶化而减少(137、73、68、57;P=0.007);同样,对于糖化血红蛋白控制比例每增加 10%,参与者查看的页面增加 1.13 倍(95%CI:1.02-1.26,P=0.02)。在对照组中,参与度与糖化血红蛋白控制无关,也不受糖化血红蛋白控制四分位数的影响。

结论

基于网络的干预措施的参与度是可以衡量的,对研究和教育具有重要意义。由于需要在糖化血红蛋白控制方面得到最大改善的患者的医生可能不会像其他人那样强烈地使用在线教育资源,因此可能需要其他策略来使这些医生参与专业发展活动。