Nationally registered paramedics (NRP) from Anne Arundel County Fire Department, Maryland, USA, served as subjects during this study. Subjects were randomly selected from 42 paramedic stations in the county. No more than 4 subjects from any single station were included. This study was deemed exempt from institutional review board oversight (HP-00096185) at the University of Maryland School of Medicine since this project did not involve actual human patients and was a quality improvement project designed to assess the effectiveness of an educational technique. The study was conducted in a stationary ambulance, where participants were asked to correctly establish an intravenous infusion rate using one of two techniques. The study was a conventional two-sequence, two-period, two-intervention crossover trial (i.e., 2 × 2 or AB/BA design) [6]. A permuted-block randomization scheme was generated using the -egen suite of command sequences available in Stata/SE Version 15.1 (Stata Corp, College Station, TX). This scheme determined whether each subject would begin with either a “standard calculation” using microdrippers and a calculation or a “metronome” technique using an audible cadence to establish the correct medication infusion rate.
Each subject served as her or his own control; the order of medication infusion rate performance was reversed after the initial assigned technique was complete. Primary outcomes of interest included time to target infusion rate (from start to finish), of use time to goal medication infusion rate, and total elapsed time. Secondary outcomes included the number of adjustments required to maintain a stable infusion rate. Ease of use and demographic data were evaluated with a 5-point Likert scale with a value of “1” indicating most difficult and “5” indicating easiest, via a written survey that was given to each participate at the conclusion of the study.
Subjects were asked to establish an infusion of amiodarone at a dose of 150 mg administered over 10 min, simulating treatment of a hemodynamically stable patient with sustained monomorphic ventricular tachycardia. Multiple IV administration sets (15-, 20-, and 60 drips/mL) were used to simulate restocking from different receiving hospitals; all three sets were available to each subject.
The amiodarone vial (3 mL) was injected into a 100 mL IV bag of 5% dextrose in water. Subjects were required to use the following formula to establish the correct infusion rate (drops):
$$ \mathbf{Volume}\ \left(\mathbf{mL}\right)/\mathbf{Minutes}\ \mathbf{x}\ \mathbf{Infusion}\ \mathbf{Set}\ \mathbf{Drip}\ \mathbf{Factor}\ \left(\mathbf{drops}/\mathbf{mL}\right)=\mathbf{Flow}\ \mathbf{Rate}\ \left(\mathbf{drops}/\mathbf{\min}\right) $$
Formula 1. Intravenous infusion set calculation.
For example, using a volume of 103 mL of amiodarone, at 20 drops/mL, the flow rate for a 10-min infusion was 206 drops/min. Once the flow rate was calculated, subjects were instructed to establish an infusion of amiodarone using either the standard or metronome technique according to the randomization scheme. For the standard technique, a watch was used to synchronize the drops/min. In the metronome group, a Quik Time® metronome (John Hornby Skews & Co., Leeds, UK) was used. Depending on the drips/min per the infusion set used, the metronome cadence was adjusted to match the desired flow rate.
Using a one-way ANOVA to detect a statistically significant difference of 2 min between techniques (time to infusion goal rate) with a standard deviation of 1 min, at an alpha of 5% and with 80% power, a total of 12 patients were required. Post hoc, additional sample size calculations were performed after we observed significantly shorter time-to-target infusion goals in both groups than we hypothesized. For a two-sample paired t-test; a total of 34 participants were required in each group to detect a 1-min improvement in performance time at 80% power, an alpha of 5%, and with a standard deviation of 30 s.
Descriptive statistics were used to describe the data. The Shapiro-Wilk test and q-q plots were used to assess normality of the data, followed by application of the appropriate parametric or nonparametric statistical test. Multiple linear regression was used to adjust for potential known confounders. With a dependent variable of mean time-to-target infusion goal, a repeated measures mixed linear regression model was constructed. Independent variables were added, to include years of experience as a paramedic, work as an interfacility critical care transport medic, and additional training. Ease of use (Likert scale) data were analyzed using the Wilcoxon rank sum test due to the nonparametric distribution of the data. All tests were two-tailed and a P value of < 0.005 was considered statistically significant [7]. Analyses were performed in Stata/SE version 15.1 (Stata Corp, College Station, TX) and GraphPad Prism 7.0d (GraphPad Software, La Jolla, CA).