Suppr超能文献

A comparison of primary care information content in UpToDate and the National Guideline Clearinghouse.

作者信息

Fenton Susan H, Badgett Robert G

机构信息

Department of Health Policy and Management, School of Rural Public Health, Texas A&M University Health Science Center, San Antonio, TX 78248, USA.

出版信息

J Med Libr Assoc. 2007 Jul;95(3):255-9. doi: 10.3163/1536-5050.95.3.255.

Abstract

OBJECTIVES

The study sought to determine if two major resources for primary care questions have significant differences in information content and whether the number of documents found differs by disease category, patient age, or patient gender.

METHODS

Seven hundred fifty-two questions were randomly selected from the Clinical Questions Collection of the National Library of Medicine. UpToDate and the National Guidelines Clearinghouse (NGC) were searched utilizing keywords from the questions. The number of documents retrieved for each question in the resources was recorded. Chi-squared analysis was used to compare differences in retrieval between the resources. Logistic regression was used to evaluate the effect of patient age, patient gender, or disease category on the ability to find content.

RESULTS

UpToDate returned 1 or more documents for 580 questions, while NGC returned at least 1 document for 493 questions (77.1% versus 65.5% of question sampled, P = 0.001). In combination, the 2 resources returned content for 91% of searches (n = 685). NGC retrieved a mean of 16.3 documents per question versus 8.7 documents from UpToDate. Disease category was the only variable having a significant impact on the presence of online resource content.

CONCLUSIONS

UpToDate had greater breadth of content than NGC, while neither resource provided complete coverage. Current practice guidelines, as reflected by those in the NGC, addressed at most two-thirds of the selected clinical questions.

摘要

相似文献

1
A comparison of primary care information content in UpToDate and the National Guideline Clearinghouse.
J Med Libr Assoc. 2007 Jul;95(3):255-9. doi: 10.3163/1536-5050.95.3.255.
9
How Does ChatGPT Use Source Information Compared With Google? A Text Network Analysis of Online Health Information.
Clin Orthop Relat Res. 2024 Apr 1;482(4):578-588. doi: 10.1097/CORR.0000000000002995. Epub 2024 Mar 1.

引用本文的文献

1
Assessing the Performance of a Novel Bayesian Algorithm at Point of Care for Red Eye Complaints.
Vision (Basel). 2022 Oct 24;6(4):64. doi: 10.3390/vision6040064.
3
Evaluating the appropriateness of electronic information resources for learning.
J Med Libr Assoc. 2016 Jan;104(1):24-32. doi: 10.3163/1536-5050.104.1.004.
6
Developing and using a rubric for evaluating evidence-based medicine point-of-care tools.
J Med Libr Assoc. 2011 Jul;99(3):247-54. doi: 10.3163/1536-5050.99.3.012.
7
Type of evidence behind point-of-care clinical information products: a bibliometric analysis.
J Med Internet Res. 2011 Feb 18;13(1):e21. doi: 10.2196/jmir.1539.
8
A review of online evidence-based practice point-of-care information summary providers.
J Med Internet Res. 2010 Jul 7;12(3):e26. doi: 10.2196/jmir.1288.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验