%0 Journal Article
%T Clinical decision support tools: analysis of online drug information databases
%A Kevin A Clauson
%A Wallace A Marsh
%A Hyla H Polen
%A Matthew J Seamon
%A Blanca I Ortiz
%J BMC Medical Informatics and Decision Making
%D 2007
%I BioMed Central
%R 10.1186/1472-6947-7-7
%X Five commercially available and two freely available online drug information databases were evaluated according to scope (presence or absence of answer), completeness (the comprehensiveness of the answers), and ease of use. Additionally, a composite score integrating all three criteria was utilized. Fifteen weighted categories comprised of 158 questions were used to conduct the analysis. Descriptive statistics and Chi-square were used to summarize the evaluation components and make comparisons between databases. Scheffe's multiple comparison procedure was used to determine statistically different scope and completeness scores. The composite score was subjected to sensitivity analysis to investigate the effect of the choice of percentages for scope and completeness.The rankings for the databases from highest to lowest, based on composite scores were Clinical Pharmacology, Micromedex, Lexi-Comp Online, Facts & Comparisons 4.0, Epocrates Online Premium, RxList.com, and Epocrates Online Free. Differences in scope produced three statistical groupings with Group 1 (best) performers being: Clinical Pharmacology, Micromedex, Facts & Comparisons 4.0, Lexi-Comp Online, Group 2: Epocrates Premium and RxList.com and Group 3: Epocrates Free (p < 0.05). Completeness scores were similarly stratified. Collapsing the databases into two groups by access (subscription or free), showed the subscription databases performed better than the free databases in the measured criteria (p < 0.001).Online drug information databases, which belong to clinical decision support, vary in their ability to answer questions across a range of categories.Considering the estimate that the entire body of medical knowledge doubles every two years, it is no surprise that health information technology and computer-based decision support resources have been targeted for their potential value in enhancing safety and improving patient outcomes [1,2]. In addition to online databases that provide access to the prim
%U http://www.biomedcentral.com/1472-6947/7/7