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Nearly everyone agrees that quality
healthcare is a good thing. But few can actually define
it or know how to measure it. What exactly is quality,
how can it be measured, and what does it cost? More
importantly, how much quality is enough?
Quality Performance Measures
The previous article in this series1
described two quality process measurement methods used
widely in
industry—dynamic benchmarking and balanced scorecarding.
Briefly, dynamic benchmarking is measuring performance
against quality standard indicators—concurrently, in
real time. The knowledge gained from real time
information is valuable because variances can be acted
upon immediately, before the behavior that caused a
problem is ingrained, and damage control becomes a
daunting prospect.
Balanced scorecarding, also
dynamically implemented, is an expanded form of
traditional benchmarking that explores and continually
evaluates four interrelated areas of operational and
clinical performance: patient and client satisfaction,
staff satisfaction, process performance and service
quality, and financial performance. Traditionally,
performance was measured by evaluating financial factors
exclusively. Balanced scorecarding uses a much broader
view. An aircraft control panel is a commonly-used
analogy for balanced scorecarding. Airplane pilots who
rely only on the gas gauge limit their knowledge about
how well the plane is performing. If the pilot has no
knowledge of current speed or altitude, for instance,
disaster will surely ensue.
The same is true for product and
service businesses. All aspects of operational
performance must be frequently scrutinized to
continually evaluate the organization’s position.
Regular examination of performance data and analysis of
how processes affect patients, clients, and staff helps
managers intervene and correct substandard processes,
thereby improving quality. This article will examine a
third advanced quality measurement approach known as Six
Sigma, an extraordinarily precise quality improvement
tool.
Six Sigma
Six Sigma is a data-centered
methodology for improving process quality that has been
proven in industry and is increasingly being implemented
in healthcare. The Six Sigma approach makes quality
measurements highly quantifiable, with a goal of near
perfection in the delivery of products and services. In
fact, when Six Sigma is achieved, fewer than 3.4 defects
are found in one million opportunities—very close to
perfection indeed!
Sigma is the Greek letter that
represents the standard deviation of data about a normal
distribution curve—the outward distance from the center
or highest point of the curve. If a process is centered
on target performance, then sigma portrays the amount of
variation from desired performance. The higher the sigma
level for a process, the more in control it is, and the
closer the performance is to perfect (error free). Most
performance, regardless of the activity or industry,
falls within the two sigma range, which represents
308,537 defects per million opportunities. Using Six
Sigma tools to measure performance, managers can
accurately gauge how near to perfect their processes are
now.
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Originally developed at Motorola, Six
Sigma became widely known through Jack Welch, former CEO
of General Electric, who was extraordinarily successful
using the method to create efficiency and increase
profitability at General Electric. The GE success story
has been told by Jack himself in his autobiography and
lectures, and recounted in scores of other books about
Six Sigma.
Applied correctly, Six Sigma is a
powerful and effective performance measurement tool.
With total commitment at the highest executive level, it
can be applied with great success in healthcare. The
process is simple to understand, but often complex to
implement. The basic approach has the acronym DMAIC:
- Define—define the problem or quality goal that
will be addressed.
- Measure—measure what you care about. Don’t waste
time with superfluous data tracking.
- Analyze—statistically find the root causes of
errors and problems using the data. Design solutions
that are feasible and will likely solve the problem.
- Implement—infuse the solutions into operations and
measure results.
- Control—use data tools that will monitor and
sustain the improvements and desired results.
DMAIC is a familiar and logical
process, but the challenge is in the details. To achieve
near perfect performance, significant changes in
behavior and assumptions are required throughout the
organization. If current error rates are considered
"normal" or "just the way things are," improvement is
unlikely. Problems and root causes must be carefully
studied and defined, and only the ones with the greatest
opportunity to reduce risk or improve results should be
targeted. Selecting an effective and high-level leader
with a long-term commitment to the project is
imperative. Most organizations seeking quantum
improvement employ a consultant who specializes in Six
Sigma methodologies to educate participants and help the
team through the process.
Six Sigma uses data for analysis,
therefore the project design includes defining how data
will be collected, from where, and by whom.
Accountabilities must be established and processes
documented electronically.
An example of a very successful Six
Sigma project in healthcare is that of Morton Plant
Hospital Emergency Department in Florida.2
Accomplishments included the following:
- improved patient satisfaction more than 50%, from
61% to 95%;
- decreased length of stay by 21% in the ED and 61%
in Express Care;
- decreased LWOTs (left without treatment) from 3.9%
to below 0.5%, from a high of 212 to a new low of 7;
- recovered more than $4 million in cost of quality
due to LWOT reduction alone.
While this example reflects activity
in a busy emergency department and urgent care center,
the indicators monitored apply just as well to
occupational health clinics. Six Sigma measures can be
sized to occupational health volume. The preceding
results clearly reflect a high degree of performance
monitoring, measurement, and documentation. One can only
conclude that the organization considered saving $4
million while improving patient satisfaction by 50% was
worthy of the energy and resources applied.
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Implementing the Plan
When the decision is made to commit
to quality, determine what will constitute success. Six
Sigma may be too aggressive an approach as a starting
point, but its formula for perfection can be set as a
guide. Morton Plant ED’s goal for improving patient
satisfaction by a factor of X% is very specific and
measurable, and upwardly progressive over time.
Select a measuring tool, such as
electronically documented patient audits, and measure
present patient satisfaction first to establish a
baseline performance level. Then define actions and
interventions to generate improvement.
Assign individual accountability for
collecting the data. Quality control projects are
frequently sidelined by staff who say they do not have
time to collect the necessary monitoring data. In fact,
reluctance to enter data, from the physician through the
entire staff, can be the greatest stumbling block to
proving and improving quality.
Quality improvement is a process that
requires new staff behaviors. By continuing to measure
patient satisfaction and providing staff with immediate
feedback about their progress, the appropriate behaviors
of the team are reinforced. Frequent and consistent
information exchange with staff members to communicate
current patient satisfaction levels provides a barometer
of success and encourages continued positive action.
Concurrent information feedback can modify behavior!
Commitment to quality measurement
must be led and sustained by top management. The purpose
and vision for the project must be clearly communicated
and consistently championed. Without involvement at the
highest level, quality performance projects fizzle,
dragged down by the busy, task-oriented nature of the
core business.
The Cost of Quality
Not surprisingly, the process of
improving quality and developing "proof of quality"
metrics is not without cost. Whether it’s the powerful
tools of Six Sigma, dynamic benchmarking, balanced
scorecarding, or simple internal activity monitoring
that you select as your method, resources are necessary
to achieve quality improvement goals. Resources include
both human and electronic systems, and both must be
applied with creativity, enthusiasm, and tenacity.
Remember, the cost of quality is
small compared to the efficiency, customer loyalty, and
recovered dollars that even modest efforts will
generate. The flip side of the cost-of-high quality coin
is the cost of low quality. Perpetuating errors,
redundancy, re-work, or simply annoying patients,
clients, or other stakeholders carries a very high price
tag—lackluster financial performance and the slow demise
of the business. Refuse to be a victim—budget for
quality improvement and experience the benefits!
Resources
http://www.ge.com/sixsigma
http://gess.ge.com/sigma.asp
http://www.gemedicalsystems.com/prod_sol/hcare
Footnotes
1 Wolfe, K., "Competitive Edge: Providing Quality
Care—and Proving It," Occupational Health Tracker,
Vol. 6, No. 1, Spring, 2003.
2 Caldwell, C., Johnson, L., Cook, B., Moran, D.,
"ER Six Sigma effort results in 50% satisfaction
improvement and $4 million cost recovery, Part I,"
HealthLeaders News, January 17, 2003.
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2003 main page]
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Reprinted with permission of Occupational Health
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