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.

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.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Chi-Square Distribution
  • Child
  • Child, Preschool
  • Data Collection
  • Evidence-Based Medicine / statistics & numerical data
  • Female
  • Humans
  • Infant
  • Information Storage and Retrieval / methods
  • Information Storage and Retrieval / statistics & numerical data*
  • Libraries, Digital / statistics & numerical data*
  • Logistic Models
  • Male
  • Middle Aged
  • National Library of Medicine (U.S.)
  • Primary Health Care / methods
  • Primary Health Care / statistics & numerical data*
  • United States