Table 2

Descriptive statistics for all measures

MeanSDRange
Transformed real-world error rates95.7219.71.0–1516.8
Laboratory memory and perception test error rates (percentage)
 Backward masking error rate22.214.82.5–80.0
 Progressive demasking error rate2.36.50.0–55.0
 Speech-in-noise error rate26.314.52.5–57.5
 Short-term memory error rate5.25.90.0–33.3
Laboratory memory and perception test near miss rates (percentage)
 Backward masking near miss rate11.46.10.0–33.3
 Progressive demasking near miss rate9.36.10.0–28.6
 Speech-in-noise near miss rate18.29.30.0–42.3
 Short-term memory near miss rate10.16.20.0–28.6
Laboratory memory and perception test response times (ms)
 Backward masking response time1772.3397.41213.5–3305.5
 Progressive demasking response time1081.6173.8898.7–1883.7
 Speech-in-noise response time2035.8539.61262.7–4114.9
 Short-term memory response time1456.9306.71095.2–3354.4
Drug name word attributes
 Word frequency (count/100 000)21.829.30.1–131.5
 Familiarity (1–5 Likert scale rating)3.50.81.3–4.7
 Bigram frequency (count ×1000)7.53.41.2–19.0
 Length (count)10.75.95.0–37.0
 Similarity (percentage)55.813.029.6–83.3
  • Transformed real-world error rates: The error rate for a given drug pair (ie, the number of wrong prescriptions dispensed divided by the total number of prescriptions) multiplied by an undisclosed constant. Multiplication by the constant number set the lowest error rate to 1.0.

  • Laboratory memory and perception test error rates: The percentage of participants who responded incorrectly on the two-alternative forced-choice test for a given drug name pair.

  • Laboratory memory and perception test near miss rates: The percentage of participants who moved their mouse over the incorrect answer (but responded correctly) on the two-alternative forced-choice test for a given drug name pair.

  • Laboratory memory and perception test response times: The amount of time it took participants to make a response in non-error and non-near miss trials for a given drug name pair.

  • Word frequency: The number of times the target/prescribed drug was prescribed in the 1-year data period divided by 100 000.

  • Familiarity: The familiarity rating of the target/prescribed drug name on a 1–5 Likert scale, with a higher number indicating more familiarity.

  • Bigram frequency: The mean English frequency of all adjacent letter combinations in the target/prescribed drug name multiplied by 1000.

  • Length: The number of letters in the target/prescribed drug name.

  • Similarity: The percentage of overlap (as measured by BI-SIM and EDITEX) between the target/prescribed name and the competitor/dispensed name.