40 research outputs found

    Sonography of Wrist Ganglion Cysts: Which Location Is Most Common?

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150565/1/jum14912.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150565/2/jum14912_am.pd

    Liquid Medication Errors and Dosing Tools: A Randomized Controlled Experiment

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    Poorly designed labels and packaging are key contributors to medication errors. To identify attributes of labels and dosing tools that could be improved, we examined the extent to which dosing error rates are affected by tool characteristics (ie, type, marking complexity) and discordance between units of measurement on labels and dosing tools; along with differences by health literacy and language

    Literacy disparities in patient access and health-related use of Internet and mobile technologies

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    Age and race-related disparities in technology use have been well documented, but less is known about how health literacy influences technology access and use

    Take-Wait-stop: A Patient-Centered Strategy for Writing PRN Medication Instructions

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    Recent studies have linked patient misunderstanding of label instructions for as needed (PRN) medications to dosing errors. This study conducted a preliminary field test of patient-centered PRN label instructions. Patients participated in a hypothetical dosing experiment and were randomized to a patient-centered label (referred to as ā€œTake-Wait-Stopā€) or standard label. Participants were asked to demonstrate dosing the medicine over 24 hours. Three types of independent dosing errors were measured: (a) taking more than two pills at one time, (b) exceeding the maximum daily dose, and (c) waiting fewer than 4 hours between doses. Generalized linear models were used to assess the association between label type, health literacy, and sociodemographic characteristics. Participants' mean age was 39.8 years, 62.1% were female, 43.7% were White, and 72.4% had adequate literacy. Of participants, 31.8% who were shown the standard label demonstrated taking in excess of 6 pills in 24 hours compared with only 14.0% of participants who were shown the Take-Wait-Stop label (p = .05). Overall, only 1 person demonstrated he would take more than 2 pills in a single dose. Of the standard label group, 20.5% demonstrated dosing intervals of fewer than 4 hours compared with 23.3% of the Take-Wait-Stop label group (p = .75). In a multivariate model, participants who were exposed to the standard label were 2.5 times more likely to exceed the recommended maximum daily dose (95% CI [1.05, 7.70], p = .03). The Take-Wait-Stop label was beneficial in preventing participants from exceeding the maximum dose in 24 hours, although it did not significantly reduce other dosing errors
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