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February 1999
Setting Performance Standards for an Anesthesia Department
Vitez TS, Macario A.
J Clin Anesth. 1998; 10:166-175
Commentary by David Lubarsky,
Return to the Current Literature Review Front Page
[ see abstract below ]
Whether we like it or not, we will be judged by those who pay for the
care we provide. That judgment used to come in the form of whether the
patient said thank you when we made our postoperative visit. If they
were really happy, a tin of cookies showed up in the department a few
days after discharge. Now, levels of satisfaction are part of the
business of medicine. It's no longer a nicety-it's a necessity to make
sure everyone is satisfied with the care they receive. A more satisfied
customer is a marketable competitive advantage for health plans and
administrators are focused on it. As in a previous article on report
cards from Yale, it is clear that the academic medical centers are
"getting it" (see AnesthesiaWeb, August 1998.)
This article is a report about how two smart guys at Stanford decided
what to measure and how to measure it. Personally, I would have
preferred that the initial approach to this concentrated more on
patients, but I still have great regard for the methodology they used.
I feel it is worthwhile to review this article since everyone, at some
point in the next few years, will probably be asked to participate in a
similar exercise.
Vitez and Macario began their investigation with basic precepts of
quality improvement-identifying their most important customer groups,
defining their requirements, measuring anesthesia performance according
to those requirements, setting goals and standards, and measuring
changes in performance after implementing the standards of performance.
Problem one: After identifying four important customers-surgeons,
nurses, hospital administrators and patients-the surgeons were
targeted. Paraphrasing Dr. Rajiv Grover, a marketing professor from the
executive MBA program at Duke, "The guy who delivers the money is your
customer." At Duke, that's the patient (or his/her health plan). On the
other hand, in many institutions the surgeons decide which anesthesia
team they will work with, and they deliver the patients who pay. So, in
those cases, the surgeon is (and has always been) the most important
customer. At Stanford, the academic anesthesiology group competes with
an independent private practice anesthesiology group for assigned
cases, so, in that instance, focusing on the surgeon is a very
reasonable approach to the business of providing care. The ideal, of
course, is focusing solely on the patient-making the quality of care
you deliver the determining factor in the choice of provider. But,
reality intrudes.
Several subspecialty surgical groups were asked to characterize the
important qualities of the anesthesia department. A grid was
constructed with two axes: importance of service attribute versus
perceived performance for that attribute. The authors rightfully
concentrated their efforts on things that were judged to be important,
but were not highly regarded by the surgeons. These then made up the
targets for improvement. Initially, first case start time and
turnaround time was cited. Let's forget for a moment that anesthesia
controlled turnaround time has been proven mathematically to be
inconsequential. [1] Perception IS reality.
First case start times were measured. On time meant anesthesia tasks
were sufficiently done by start time so that the surgeon could begin
prepping and draping. They started with 36% LATE STARTS. Since what
gets measured gets attention, it was no surprise that late starts
decreased to 13% and voila -- happy satisfied surgical
customers. Most of the days on which cases continued to start late
occurred following the weekly departmental conference. The half- hour
between end of lecture and start time was not sufficient for complex
cases to start. So, not only did the process markedly improve
performance, but it identified why and where major roadblocks to
further success lay.
Vitez and Macario were unable to affect turnover times to a significant
extent with this process. Two reasons were cited. First, faculty were
required to help with the data collections (FUHGEDDABOUTIT), as opposed
to first case time tracking which could be entirely gleaned from the OR
information system without help. Second, the causes of excess
turnaround time are so interrelated with other services'
responsibilities that simple solutions cannot be applied. Improvements
in first case start times have been previously described as fixable.
[2] Highly visible, it is an area we can all chart, follow, and
improve. Our patients will be better served as on time first cases
means a more predicable start time for all the patients who follow.
Surgeons are happier as their day gets off to a predictable start. And
we are happy as no one whines and moans. Is this a real quality of care
issue? Not really, but it is an important process issue, and we have to
address both as we seek to add value to our role in the OR. This paper
serves as a roadmap to help us develop a focus on what patients and
colleagues feel is important. Is it worth the effort? Probably. But it
is certainly not the stuff of Nobel Prizes or even a mention on Good
Morning America. Here we are. Embrace it if you can, for it is our
future.
I will conclude with one word of caution. Controlling the data is
essential. The potential danger is that someone will use the data to
your distinct disadvantage. Be forewarned: Hard numbers can be forged
into a blunt instrument with which to bludgeon you.
References
1. Dexter F, Coffin S, Tinker JH. Decreases in anesthesia-controlled
time cannot permit one additional surgical operation to be reliably
scheduled during the workday. Anesth Analg. 1995;
81:1263-1268.
2. Overdyk FJ, Harvey SC, Fishman RL, Shippey F. Successful strategies
for improving operating room efficiency at academic institutions.
Anesth Analg. 1998:86:896-906.
Return to the Current Literature Review Front Page
ABSTRACT
The Stanford University Department of Anesthesia established
performance standards by identifying aspects of their service that were
related to an important "customer's" perception of quality. A "quality
grid" targeted service attributes that surgeons scored high for
importance and low for performance. Control charts and flow charts
helped establish reasonable performance levels for "timely first case
starts" and "turnaround time." Control charts indicated that a
reasonable performance standard for timely first case starts was "less
than 20% of first case delays will be related to anesthesia
activities." For turnaround time, the standard was set at "less than
10% of all turnaround times will be greater than 15 minutes, because of
anesthesia-related activities." After instituting performance
standards, the performance for first case start times improved from a
36% defective rate to a 9% defective rate. Anesthesia-related delays in
turnaround times stabilized at a 16% defective rate. Using appropriate
service standards can improve performance.
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