Use of Dimensional Analysis to Reduce Medication
Errors in
By Daryl Boucher, MS,
RN, CCEMT-P, Allied Health Coordinator, Northern
Dimensional
Analysis, an old method of mathematical computation used in chemistry
applications, has recently been developed for pharmacological calculations. It
is extremely useful in teaching how to do medication dosage calculations to
students with little experience with algebra or for those with weak math
skills.
The
implications of this study are important. The national agenda continues to
focus on preventable medication errors. In fact, a recent commentary written by
Zachary Meisel identified ambulances as “one of the
most dangerous places for patients to be.” Meisel’s
work cites various calculation errors by paramedics that have led to patient
injury or death in the pre-hospital arena. As educators and professionals, we
know that it is important to assure that pre-hospital providers are able to
perform to established standards, and those standards include safe medication
administration. As a method for dosage calculation, Dimensional Analysis is
emerging as a safer, easier, and more reliable approach, an approach which
hopefully will lead to fewer errors and better patient outcomes than
traditional methods.
Though
it is impossible to present the intricacies of the entire system in a short
article, I will attempt to present a few key points. First, the process can be
learned using a programmed study text by Curren,
called Dimensional Analysis for Meds.
If you have struggled to do or teach pharmacological calculations, I would
encourage you to attempt using this text. The process allows medical personnel
to convert measurement weights (i.e. milligrams to grams), convert from one
system to another (i.e. apothecary to household to metric (i.e. pounds to
kilograms), or to do complex mathematical computations using only one equation
(i.e. such as would be required for a lidocaine drip). Once you have learned a
few basic rules, you will have established the foundation to complete even more
complex problems. (Students of this system must still commit measurement units
to memory.)
In
traditional ratio and proportion conversions and calculations, students were
required to divide or move decimal points before beginning the actual
calculation. Additionally, they had to learn multiple formulas depending on the
situations (i.e. conversions, IV drips, medication drips, etc.) For example, if
the student is required to administer 30 mg of a medication, and the medication
is available as 2 grams in 10 ml, in the traditional formula-based approach he
would follow these steps:
|
Dose ordered |
x vehicle = amount to give |
|
Drug on hand |
1. Convert mg to grams, either by moving the decimal
point (which has a high risk of error), or by calculating: if 1g = 1000mg, then
2 g= 2000mg
2. Next, he would place the numbers into the formula
(D/H x V) = amount to give:
|
30 mg |
x 10 mL = 0.15 mL |
|
2000 mg |
Or,
he could choose to cross-multiply (which requires some level of algebraic
knowledge) to be able to solve for “x.” However, regardless of the approach he
uses, for every additional step in the calculation process, he increases the
risk of error. With the above system, needing two to three equations is not
uncommon. The more complex the problem, the more calculations are required and
therefore the greater the risk of error.
In
Dimensional Analysis, the same calculation is done in one combined equation:
|
? mL |
x |
10 mL |
x |
1 gm |
x |
30 mg |
= |
300 ml |
= 0.15 mL |
|
|
2 gms |
1000 mg |
|
2000 |
To
calculate the result, you multiply all the numerators (top), and multiply all
the denominators (bottom). Then you divide the top by the bottom of the
resulting fraction to yield the answer. There are a couple of safety checks to
the system to assure there are no errors:
1. Note in the original equation how the labels
from the denominator match up with the subsequent numerator (i.e. grams matches grams). This allows you to cancel the labels, and
you are left with the desired measurement unit, in this case, mL, that is not
cancelled.
2. The known conversion factor is part of the
equation (1g = 1000mg). This helps assure there are no errors in the
calculation.
Here
are a couple of dimensional analysis problems. I would encourage you to solve
them using your current method, and then look at the example for DA that I
provide. Then, determine for yourself which method is easier to perform, is
easier to teach, and most importantly has less chance for error.
a. 12 microgram per minute drip of a medication is
ordered. The medication is available in an 8 mg/250 mL solution. Calculate the
drip rate using a microdrip set (60 gtts/ml).
DA set up:
|
? gtts |
= |
60 gtts |
x |
250 mL |
x |
1 mg |
x |
12 mcg |
= 22.5 gtts |
|
min |
1 mL |
8 mg |
1000 mcg |
1 min |
b. An IV mediation with a volume of 60
milliliters is to infuse at 45 drops per minute. Using a microdrip set,
calculate the infusion time.
DA set up:
|
? min = |
1 min |
x |
60 gtts |
x |
60 mL |
= 80 min |
|
|
45 gtts |
1 mL |
|
c.
A pill contains 6 milligrams. How many micrograms is this?
DA set up:
|
? mcg= |
1000 mcg 1 mg |
x 6 mg |
= 6,000 mcg |
d.
How many kilograms does a 21 pound child weigh?
DA set up:
|
? kg= |
1 kg |
x 21 lbs |
= 9.5 kg |
|
|
2.2 lbs |
|
|
Notice
that the setup of all of these problems is the same—there no need to learn a
new formula as the situation changes, as long as you know the standard
equivalents. Also note that by canceling labels (i.e. pounds on top and bottom), you are left with the measurement you looking for.
One
of the neat things with the Dimensional Analysis process is that it is
relatively easy for those already experienced with calculations to relearn. But
for students who have little math experience, it is also easy to teach and easy
to learn. Additionally, once learned, even if you have not done a calculation
for a while, it is easy to remember. Though this method clearly will not
eliminate all calculation errors, it certainly has been shown to help.
If
you would like more information about the Dimensional Analysis method for drug
calculation or would like to schedule a training session for your staff, please
contact Daryl Boucher via e-mail at dboucher@nmcc.edu.
Resources:
Curren, Anna M. (2006). Dimensional Analysis for Meds, 3/e.
Meisel, Zachary. (2005).
“Ding-a-Ling-a-Ling; Ambulances Can Be Dangerous Places.” Slate 8
November 2005. 20 March, 2007
www.slate.com/toolbar.aspx?action=print&id=2129684
© 2007 by Jacqueline B. Vaniotis