Evaluation of drug information databases for personal digital assistants

Clauson, Kevin A.; Seamon, Matthew J.; Clauson, Angela; Van, Thu B.

doi:10.1093/ajhp/61.10.1015

Cited by 34 publications

(21 citation statements)

References 0 publications

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“…Several other options were considered for measuring EOU based on previous evaluations such as a visual analogue scale (VAS), two comprehensive questions with Likert-scale ratings, and time (in seconds) [4,5,11]. However, in order to use a more systematic and comprehensive approach, we chose the previously employed method of the number of steps or clicks to reach the answer in order to be as objective as possible and to reduce confounders such as a 'learning curve'[12]. This direct approach may not mimic the path that inexperienced users with the databases would take, but it was deemed to be the best alternative.…”

Section: Resultsmentioning

confidence: 99%

Clinical decision support tools: analysis of online drug information databases

Clauson

Marsh

Polen

et al. 2007

BMC Med Inform Decis Mak

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Background: Online drug information databases are used to assist in enhancing clinical decision support. However, the choice of which online database to consult, purchase or subscribe to is likely made based on subjective elements such as history of use, familiarity, or availability during professional training. The purpose of this study was to evaluate clinical decision support tools for drug information by systematically comparing the most commonly used online drug information databases.

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Section: Resultsmentioning

confidence: 99%

Clinical decision support tools: analysis of online drug information databases

Clauson

Marsh

Polen

et al. 2007

BMC Med Inform Decis Mak

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“…Information quality may be a factor as drug references can vary widely in scope, accuracy, and coverage. 19,20,30-34 These variations have led some researchers to suggest that clinicians use multiple references to overcome the deficiencies of any single product. 33,35 Further examination of these usage patterns might inform improvements that would reduce burdens associated with managing multiple devices and software tools.…”

Section: Discussionmentioning

confidence: 99%

“…13-16 Studies of the use of mobile device-based drug reference software in the ambulatory setting suggest that it can improve access to drug information 17 and prevent ADEs, 18 but systems can vary in scope, completeness, and ease of use. 19,20 A systematic review found that between 45-85% of clinicians use mobile devices in a variety of clinical settings outside of NHs. 21 Unfortunately, the generalizability of these findings to the NH setting might be limited.…”

Section: Introductionmentioning

confidence: 99%

Use and Perceived Benefits of Mobile Devices by Physicians in Preventing Adverse Drug Events in the Nursing Home

Handler

Boyce

Ligons

et al. 2013

Journal of the American Medical Directors Association

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Objective Although mobile devices equipped with drug reference software may help prevent adverse drug events (ADEs) in the nursing home (NH) by providing medication information at the point-of-care, little is known about their use and perceived benefits. The goal of this study was to conduct a survey of a nationally representative sample of NH physicians to quantify the use and perceived benefits of mobile devices in preventing ADEs in the NH setting. Design/Setting/Participants We surveyed physicians who attended the 2010 the AMDA Annual Symposium about their use of mobile devices and beliefs about the effectiveness of drug reference software in preventing ADEs. Results The overall net valid response rate was 70% (558/800) with 42% (236/558) using mobile devices to assist with prescribing in the NH. Physicians with ≤15 years clinical experience were 67% more likely to be mobile device users, compared to those with >15 years of clinical experience (odds ratio=1.68; 95% confidence interval=1.17-2.41; p=0.005). For those who used a mobile device to assist with prescribing, almost all (98%) reported performing an average of one or more drug look-ups per day, performed an average of 1-2 lookups per day for potential drug-drug interactions (DDIs), and most (88%) believed that drug reference software had helped to prevent at least one potential ADE in the preceding four-week period. Conclusions The proportion of NH physicians who use mobile devices with drug reference software, while significant, is lower than in other clinical environments. Our results suggest that NH physicians who use mobile devices equipped with drug reference software believe they are helpful for reducing ADEs. Further research is needed to better characterize the facilitators and barriers to adoption of the technology in the NH and its precise impact on NH ADEs.

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“…At the ordering step, computerized prescription writers and physician order entry (CPOE) guide prescriber input, provide decision support (12), and generate legible orders, resulting in reduced prescribing errors and decreased need for pharmacist intervention (13). At the administration step, computerized "smart" intravenous pumps (14) automate dosage calculation and documentation tasks and provide rule-based alerts and reminders.…”

mentioning

confidence: 99%