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Introduction: This study describes the frequency of prescription claims for drugs that may interact with Janus kinase (JAK) inhibitors among adult patients with rheumatoid arthritis (RA) in a large US claims database. Methods: This observational, retrospective, cross-sectional study of the IBM® MarketScan® Research Commercial and the Medicare Supplemental Database included adults (≥ 18 years) with ≥ 2 outpatient claims 30 or more days apart or ≥ 1 inpatient visit claim with an RA diagnosis between January 1, 2013 and March 31, 2017 (the index period). During the study period, from January 1, 2013 to March 31, 2018, strong organic anion transporter (OAT3) inhibitors, strong cytochrome P450 (CYP) 3A4 inhibitors, and moderate or strong CYP3A4 inhibitors in combination with strong CYP2C19 inhibitors, were identified as drugs with potential for drug–drug interactions (DDIs) with JAK inhibitors approved for RA treatment in the US. Descriptive statistics were conducted. Results: A total of 152,853 patients met eligibility criteria. Approximately 76% were women and the median age was 57 years. Of these patients, < 0.1% had a claim for a strong OAT3 inhibitor, and 1% had claims for the combination of a strong CYP3A4 and strong CYP2C19 inhibitor; 3% of patients had a claim for a strong CYP3A4 inhibitor and almost 10% had claims for both a moderate CYP3A4 and a strong CYP2C19 inhibitor. Conclusions: Up to 10% of RA patients have been prescribed a drug with a potential JAK interaction. Rheumatologists should consider potential DDIs when managing patients with RA. [ABSTRACT FROM AUTHOR]

This paper reports a series of investigations, which aim to test the appropriateness of voice recognition as an interaction method for mobile phone use. First, a KLM model was used in order to compare the speed of using voice recognition against using multi-tap and predictive text (the two most common methods of text entry) to interact with the phone menus and compose a text message. The results showed that speech is faster than the other two methods and that a combination of input methods provides the quickest task completion times. The first experiment used a controlled message creation task to validate the KLM predictions. This experiment also confirmed that the result was not due to a speed/accuracy trade off and that participants preferred to use the combination of input methods rather than a single method for menu interaction and text composition. The second experiment investigated the effect of limited visual feedback (when walking down the road or driving a car for example) on interaction, providing further evidence in support of speech as a useful input method. These experiments not only indicate the usefulness of voice in SMS input but also that users could also be satisfied with voice input in hands-busy, eyes-busy situations. [ABSTRACT FROM AUTHOR]