Baylor University Medical Center Proceedings April 2017 - 145


Table 2. Prescription errors organized by medication class
Errors in Class's % of
Prescriptions Errors class (%) total errors

Class
Antibiotic

154

23

14.9%

17.2%

Analgesic

141

5

3.5%

3.7%

Antiemetic

106

9

8.5%

6.7%

Inhaler

77

5

6.5%

3.7%

Corticosteroid

54

16

29.6%

11.9%

Antihypertensive

42

7

16.7%

5.2%

Topical

30

13

43.3%

9.7%

Proton pump inhibitor

26

11

42.3%

8.2%

Muscle relaxer

24

1

4.2%

0.7%

Nebulized medication

22

14

63.6%

10.4%

Antiplatelet

19

1

5.3%

0.7%

Antiepileptic

18

1

5.6%

0.7%

Supplement

15

4

26.7%

3.0%

Diuretic

15

1

6.7%

0.7%

Ophthalmic

12

3

25.0%

2.2%

Antiviral

10

2

20.0%

1.5%

Benzodiazepine

10

1

10.0%

0.7%

Laxative

7

1

14.3%

0.7%

Insulin

5

3

60.0%

2.2%

Antipsychotic

5

2

40.0%

1.5%

Anticoagulant

5

1

20.0%

0.7%

Nasal

5

1

20.0%

0.7%

Anticholinergic

3

1

33.3%

0.7%

Otic

3

1

33.3%

0.7%

Antianginal

2

2

100.0%

1.5%

Antiparasitic

2

2

100.0%

1.5%

Antacid

1

1

100.0%

0.7%

Appetite stimulant

1

1

100.0%

0.7%

Probiotic

1

1

100.0%

0.7%

 

Table 3. Prescription errors organized by provider type

Physician type

Rx
written

Percentage
Percentage Percentage
of total
of total
of Rx
Rx written Errors
errors
with errors

EM attending

180

18%

11

8.2%

6.1%

EM resident

467

46.7%

43

32.1%

9.2%

Non-EM attending

13

1.3%

9

6.7%

69.2%

Non-EM resident

340

34%

71

53.0%

20.9%

EM indicates emergency medicine; Rx, prescriptions.

April 2017

information were prone to errors. If a specific medication regimen was incorrect in a prepopulated "favorite prescriptions"
list, then it may have been incorrect for all of the prescriptions
printed for that medication by that physician. Also, the lack
of directly available dosage calculators and decision support
aids may have contributed to a greater chance for inaccurate
dosing, especially for weight-based medications. Errors were
also observed when the dose and frequency of liquid solutions
or suspensions were included but the quantity to be dispensed
was "1 bottle" instead of the specific bottle size needed. Also
seen were prescriptions where the package size was left in the
dose category, such as a 30 g tube of hydrocortisone 1% cream
printed as "Hydrocortisone 1% cream 30 g, 30 applications TP
daily #1 tube." Dose and package size interchange may lead to
patient confusion, supratherapeutic doses, and adverse events.
In the ED, analgesics, muscle relaxers, antiepileptics,
and inhalers are often prescribed in acute care patient visits,
supporting the low within-class error rate seen in this study.
Seventeen percent of all prescription errors were written for
antibiotics, paralleling other medication error identification
studies (8, 12). Other classes of drugs that demonstrated high
levels of prescription errors were nebulized, topical, and steroid
medications. These are all medications that require special instructions, and counseling should be given both verbally and
via the prescription label to maximize patient understanding.
Medications less frequently prescribed, such as antiparasitics, antianginals, nebulized medications, and appetite stimulants, may be less familiar to physicians, and therefore may be
more prone to errors. Knowing the classes of medications that
have high within-class error rates as well as high total error
rates may help determine appropriate educational and quality
improvement interventions.
The error rate for EM residents was higher than that for EM
attending physicians. The prescription error rates were highest
for off-service resident and attending physicians. Medication
regimens used by off-service disciplines can be significantly different from those prescribed in the ED setting. This suggests
a potential need for better orientation of these residents to the
types of prescriptions written in the ED and potentially more
oversight and input from attending physicians, pharmacists,
and nurses.
Unsurprisingly, the greatest amount of prescription errors occurred during the busiest time of day for an ED, from
10:00 am to 6:00 pm. There were 641 prescriptions written
during this time frame, 104 of which contained an error. This
result is proportional to the number of patients roomed in the
ED at the time of prescription printing, increasing the demand
on providers and expectedly dividing their focus.
Dedicating more ED pharmacist, pharmacy resident, or
student time to prescription review during peak hours of patient
care could help minimize errors. EM pharmacists have the advanced knowledge and skill set to help reduce patient harm
through minimization of prescription medication errors. The
data showing that pharmacists improve the error rates for medications is robust, showing a positive impact on medication errors
(12), decreasing unintended medications being continued from

Emergency department discharge prescription errors in an academic medical center

145



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