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INTRODUCTION
Group Health is an integrated, multidisciplinary
healthcare delivery system located in Washington State and Northern
Idaho. Our laboratory serves a network of 22 outpatient family
practice clinics in Western Washington, including Seattle. The
family practice group is comprised of 246 family practice doctors
and delivers care to 326,000 consumers. The entire network is
linked by a computerized electronic medical record (EMR) and all
providers enter their laboratory orders on the computer. The EMR is
directly linked to the laboratory computer system (LCS) which
accepts the order, instructs the phlebotomists on what to draw and
delivers the test result to the EMR as soon as it is available on
the instrument.
OUR STORY
In 2001, a benchmark study of our laboratory system suggested that
our providers order more lab tests than our peers (FIGURE
1). Further analysis showed the majority of lab tests were
common routine tests such as blood glucose, urinalysis, and the
complete blood profile that we performed ourselves. The esoteric
tests that we sent out to reference laboratories comprised only 2%
of our total test volume (FIGURE 2). Primary care
providers, not specialists, ordered 60 to 70% of tests. The
laboratory, with the assistance of selected primary care teams,
reviewed 255 randomly selected charts at five clinics. Each chart
was reviewed by either a pathologist or primary care physician who
completed an evaluation sheet. From this review we found that: 28%
of tests were ordered as part of a periodic health assessment, 21%
of tests did not link to an investigation, 15% were recurring tests
at inappropriate intervals, and 18% were panel tests when a
specific test would have been sufficient. Our chart review findings
were very similar to earlier findings reported elsewhere and in an
earlier study done here [1,2]. The U.S. Public Health Service Task
Force national guideline for the periodic health exam recommends
very few laboratory tests [3,4].
FIGURE 1: Outpatient Tests Per Encounter
This is a graph from the benchmark study done in
2001. The numbers of outpatient tests per encounter counted in our
laboratory ("Lab Service") is compared to the 25th, 50th, and 75th
percentile levels of our peer group. The composition of the peer
group was proprietary information and was not known to
us.

FIGURE 2: 2001 Benchmark Data
This chart shows the composition of tests processed in our
laboratory for the full year in 2001. The tests were counted as
reportable results, and the blue part shows the percentage of tests
performed by our laboratory. Only 2.4% of our total test results
were sent outside to other reference laboratories.

The following is a summary of recommended wellness tests at our
institution:
Children: Newborn screen, spun hematocrit, urinalysis and
urine culture
Adults: Cholesterol (or lipid panels), chlamydia, PAP
smear, stool occult blood, prostatic specific antigen (with shared
decision making between patient and provider)
Despite national recommendations, routine tests for blood
counts, chemistry panels, thyroid stimulating hormone and
urinalysis were frequently ordered during wellness visits. We felt
this was a good area for improvement.
WHAT WE DID
We first started talking about our utilization and noticed that
that test volumes began to fall. We revised our laboratory menu and
test volumes fell by 10%. We then formed the laboratory utilization
management committee (Lab UMC) and published the first provider
report card in 2003.
THE REPORT CARD
For the report card to be effective, the Lab UMC felt
the message needed to be focused, timely, relevant to the practice,
set the expectations (targets) and unmasked so that providers can
compare practice habits with one another. In obtaining the data, it
was clear that simple test counts by the laboratory were not
sufficient and the test must relate to the diagnosis for which it
was ordered. This meant that the source system had to be a data
warehouse and not the LCS. The data has to account for changes in
the panel size and correct for practice intensity (I see more
patients therefore I order more tests). Definitions for collecting
the data must be precise (who really ordered the test, what exactly
are the tests we are monitoring) and we had to pay close attention
as to how the data was captured. TABLE 1 is
the template tool the committee developed with the information
system specialist. We did pilot runs to check the data for accuracy
and to examine the presentation. We dropped numbers that we
felt were non-essential. The report was presented to selected
leaders to obtain their opinion on what they felt was useful. We
made additional changes after their input.
TABLE 1: Template tool used to obtain report card data
from the data warehouse and the LCS
Click
to enlarge

MEDICAL STAFF ACCEPTANCE
The report card lists practice characteristics for
the nearly 250 physicians. We felt agreement on the part of medical
leaders, content experts and practice committee was important to
acceptance. Over a nine-month period, the Lab UMC Chairperson
made 15 presentations to 13 different committees. In making our
case, we pointed out that our utilization is higher than our
peers, unnecessary tests were ordered on patients who are
well and that this type of ordering drives utilization of more
expensive services. After approval, we published the first report
card in the first quarter of 2003, including an educational
newsletter. TABLE 2 shows a copy of a report card.
The report card is published quarterly with a newsletter
summarizing our progress, remaining work, tips, and other news
relating to lab utilization. We created a web site and posted all
our reports, newsletters, articles and work plans for anyone who is
interested. Physician names appear on the report cards to prompt
discussion among peers on what works and what does not. The
information is protected by the company's firewall, and is not used
in performance assessment.
TABLE 2: Excerpt of an actual report card
The following is an excerpt of an actual report card. The data is
genuine but the location, time and identity of providers are
de-identified. The yellow bar lists the test level targets. The
blue highlight shows where orders for the CBC and TSH exceeded the
target.
Laboratory Utilization
Report Card;
Quarter X, 2005; Clinic Y |
| |
|
Tests per 100 well visits |
| Physician |
Well visits |
CMP |
CBC |
TSH |
| Target |
|
0 |
< 11 |
< 7 |
| Dr. A |
66 |
0 |
2 |
3 |
| Dr. B |
69 |
0 |
4 |
0 |
| Dr. C |
58 |
0 |
55 |
69 |
| Dr. D |
94 |
0 |
3 |
1 |
| Dr. E |
58 |
0 |
5 |
2 |
| Clinic Ave |
|
0 |
17 |
6 |
| Organization Ave |
|
1 |
13 |
6 |
| CMP = comprehensive metabolic
panel; CBC = complete blood count; TSH= Thyroid
stimulating hormone |
TARGETS
There are no published benchmarks related to this type of
utilization that the committee was aware of, so we chose to
benchmark ourselves. We followed trends for one year before setting
the targets. We decided to set the CBC and TSH target to be half of
the overall average, and to set the comprehensive metabolic panel
at zero, since no one could think of any medical reason to order
the 14-test panel on a well patient. We examined our practice trend
after two years and readjusted the targets.
RESULTS
FIGURE 3 shows the practice trend in all three
tests up to the third quarter of 2007. Each bar represents the
quarterly average for the test. It shows a continuing decrease in
the ordering of all three tests. A rapid decrease in the beginning
slowed in 2005. Further analysis of the data showed that 86% of
physicians were ordering within target, but a handful (around 12)
were ordering well above their peers. Further investigation showed
that these individuals were either new to the practice, worked as
locum tenens or were veteran physicians who had been away and
returned to practice. Reminder letters and informational articles
were sent to the selected individuals and the downward utilization
trend continued. The number of outlier physicians continues to
decrease. In the third quarter of 2007, we sent out only two
letters to locum tenens. TABLE 3 shows a
numeric summary of organizational averages. TABLE
4 shows the effect the letters had on the ordering
patterns of eight physicians. Based on this information a yearly
educational presentation to new physicians will begin this
spring.
FIGURE 3: GHC Laboratory Utilization Management - Well
Visit Testing Trends
This is a trend graph showing ordering levels for three targeted
wellness tests over a four-year period. Each bar represents an
organizational average of the test for that quarter. The first
report cards were sent in first quarter of 2003. Since then, all
targeted tests show a steady decline to where 2007 tests levels are
a fraction of what they were at the beginning.
Click
to enlarge

TABLE 3: Numeric summary of FIGURE 3
This table is a numeric summary of Figure 3. The
numbers are the organizational averages of wellness testing (number
of tests per 100 well visits) for the given quarter.
Wellness
Test |
2004
4th Qtr |
2005
4th Qtr |
2006
4th Qtr |
2007
3rd Qtr |
| CBC |
18.8 |
12.6 |
6.92 |
5.33 |
| TSH |
7.98 |
6.13 |
2.75 |
2.36 |
| CMP |
1.45 |
1.11 |
0.6 |
0.16 |
| CMP = comprehensive metabolic
panel; CBC = complete blood count; TSH= Thyroid
stimulating hormone |
TABLE 4: Effect the reminder letters had on the CMP
ordering levels of selected, de-identified providers
This table shows the effect the reminder letters had on the CMP
ordering levels of selected, de-identified providers. The letters
were sent out between the fourth quarter 2005 and first quarter of
2006.
| |
CMP per 100 well visits |
| Physician |
Q4 05 |
Q1 06 |
Q2 06 |
| 1 |
13 |
2 |
0 |
| 2 |
30 |
0 |
0 |
| 3 |
12 |
17 |
0 |
| 4 |
11 |
14 |
1 |
| 5 |
12 |
14 |
2 |
| 6 |
11 |
12 |
0 |
| 7 |
24 |
20 |
4 |
| 8 |
31 |
24 |
7 |
DISCUSSION
Literature exists showing that physicians who receive
feedback have the greatest reduction of laboratory test orders
compared to control groups without feedback. In an outpatient
system in the Netherlands [5], test ordering on patients seen for
asthma, chronic obstructive pulmonary disease, degenerative joint
disease and general complaints were followed for six-month
period. Physicians who received education and feedback
ordered fewer tests. A two-year study in Ontario [6] showed that
multifaceted education and feedback significantly decreased
utilization, and the difference persisted after the intervention
ended. Other publications from the Netherlands show that routine
individual feedback can have lasting results when maintained over
long periods of time [7,8] lasting up to nine years [9]. Since
starting our physician report card in 2003, we have maintained a
decrease in the wellness tests for over four years. Physician
feedback has been used in a hospital setting in the United States
[10] but this is the first report that we are aware of where
feedback has been maintained for a prolonged period of time in an
ambulatory setting.
Physician feedback has been successfully applied to inpatient
settings as well. In a tertiary hospital in Ottawa Canada, the
hospital ban on chemistry panels were regularly reinforced with
reminder letters on the patients’ charts, which resulted in a 38%
decrease in test volume [11]. A surgical intensive care unit in
Geneva, Switzerland, used physician feedback to encourage
compliance with their hospital guideline on blood gas ordering
[12].
We noticed from our database, especially for those physicians
receiving reminder letters, that the report card has changed
practice. Physicians might ask about the occasional patient who
brings up a last minute complaint at the end of a wellness exam.
They are counseled to order the test they need and code it for the
complaint (e.g. "head ache, fatigue, pain") instead of a "well
visit".
Periodic health exams consume a significant percentage of
outpatient ambulatory care visits, averaging 8% nationally [12] or
up to 35% in New England [13]. Before the report card, we observed
that nearly 30% of outpatient tests were ordered as part of a well
visit. While it has long been known in the healthcare community
that routine lab test panels are inefficient at detecting
significant occult disease [14,15,16,17], it is not well known to
the general public. Many patients are unaware of national
preventative health guidelines and expect an annual physical exam.
They might not be confident that their doctor is doing an adequate
job if the lab work is omitted [18]. Public education could help
with this expectation. For example, our organization offers
patients the opportunity to complete an on-line "personalized
health profile" as a self-educational tool [19]. Articles debunking
the once popular "executive physical" and its associated tests are
appearing in the popular press in response to growing concern with
rising healthcare costs [20,21]. A book exploring the down side of
cancer screening has been published for the general public
[22].
Our study has several limitations. While we saved a modest
amount of money in lab supplies, we have not shown that more
expensive interventions (referrals to specialists, radiology,
further testing) were prevented. For this reason, we argue that
ordering unnecessary tests is a quality rather than a cost issue.
We did not perform any clinical outcomes measurements because we
feel a well population has the lowest risk of a negative outcome.
Moreover, our organization routinely monitors clinical outcomes in
other wellness programs such as cardiovascular disease, diabetes,
and certain cancers (breast, cervical, colon and prostate). While
we believe physicians are more deliberate in ordering tests now
than in the past, we have not shown that decreasing wellness
testing will decrease overall laboratory testing. In our
experience, controlling overall utilization requires different
strategies that depend on the test and its clinical utility.
CONCLUSION
Regular physician feedback is effective in reducing unnecessary
tests and can maintain progress over a long period of time. It
raises general awareness when physicians order tests, at a time
when it is easily overlooked in a busy practice. The database built
up over the years has been useful in targeting specific areas for
improvement. To achieve universal acceptance the report needs to be
timely, consistent, objective and unmasked while allowing the data
to "speak for itself".
REFERENCES
- Chacko KM, Feinberg LE. Laboratory screening at preventive
health exams; trend of testing, 1978-2004. Am J Prev Med. 2007;
32(1): 59-62.
- Thompson RS, et al. Changes in physician behavior and cost
savings associated with organizational recommendation on the
use of "routine" chest X-rays and multichannel blood tests.
Preventative Medicine. 1983; 12: 385-396.
- American Academy of Family Practice [homepage on the
Internet]. Summary of policy recommendations for clinical
preventative services. Revision 6.4. August 2007 [cited Feb
14]. Available from: www.aafp.org/online/en/home/clinical/exam.html
- Guide to Clinical Preventive Services, 2007. AHRQ
Publication No. 07-05100, September 2007 [cited Feb 14]. Agency
for Healthcare Research and Quality, Rockville, MD. Available
from: www.ahrq.gov/clinic/pocketgd.htm
- Verstappen, WHJM. Effect of a practice-based strategy on
test ordering performance of primary care physicians, a
randomized trial. JAMA 2003; 289(18): 2407-12.
- Bunting PS, Van Walraven C. Effect of a controlled feedback
intervention on laboratory test ordering by community
physicians. Clinical Chemistry. 2004; 50:2, 321-326.
- Winkens RAG, Pop P, Grol RPTM, Bugter-Maessen AMA, Kester
ADM, Beusmans GHMI, Knottnerus JA. Randomised controlled trial
of routine individual feedback to improve rationality and
reduce numbers of test requests. Lancet. 1995; 345:
498-502.
- Winkens RAG, Pop P, Grol RPTM, Kester ADM, Knottnerus JA.
Effect of feedback on test ordering behaviour of general
practitioners. BMJ. 1992; 304: 1093-1096.
- Winkens RAG, Pop P, Grol RPTM, Bugter-Maessen AMA, Kester
ADM, Beusmans GHMI, Knottnerus JA. Effects of routine
individual feedback over nine years on general practitioners'
requests for tests. BMJ. 1996; 312: 490.
- Studnicki J, Bradham DD, Marshburn J, Foulis PR, Staumfjord
JV. A feedback system for reducing excessive laboratory tests.
Arch Pathol Lab Med. 1993; 117: 35-39.
- Lyon AW, Greenway DC, Hindmarsh JR. A strategy to promote
rational clinical chemistry test utilization. Clinical
Chemistry. 1995; 103: 718-724.
- Merlani P, Garmerin P, Diby M, Rerring M, Ricou B. Quality
improvement report: linking guideline to regular feedback to
increase appropriate requests for clinical tests; blood gas
analysis in intensive care. BMJ. 2001; 323: 620-624.
Corrections/clarifications. BMJ. 2001; 323: 993.
- Mehrotra A, Zaslavsky AM, Ayanian JZ. Preventative Health
Examinations and Preventive Gynecological Examinations in the
United States. Arch Intern Med. 2007; 167(17):
1876-83.
- Luckmann R, Melville SK. Periodic health evaluation of
adults; a survey of family physicians. J. Fam Pract. 1995; 40:
547-54.
- Boland BJ, Wollan PC, Silverstein MD. Yield of laboratory
tests for case-finding in the ambulatory general medical
examination. Am J Med. 1996; 101:142-152.
- Tabas GH, Vanek MS. Is 'routine' laboratory testing a thing
of the past? Postgraduate Medicine. 1999; 105(3):
213-220.
- Chacko KM, Anderson RJ. The annual physical examination:
important or time to abandon? Am J of Medicine. 2007; 120:
581-83.
- Oboler SK, et al. Public expectations and attitudes for the
annual physical examinations and testing. Ann Intern Med. 2002;
136: 652-659.
- Group Health Cooperative [homepage on the Internet - cited
Feb 14]. Available from: www.ghc.org
- Solovitch S. Let's get less physical; the yearly checkup is
reassuring—but unnecessary. To make it matter, doctors and
patients must talk. LA Times. 2006 Feb 13.
- Panel: Many regular medical tests unnecessary. USA Today.
2002 Feb 19.
- Welch HG. Should I be tested for cancer? Maybe not and
here's why. University of California Press; 2004.
AUTHOR
K.M.Riddell, MD
1-206-326-2209
E-mail: Riddell.k@ghc.org
Fellowship designation: American College of Pathology, American
Society of Clinical Pathology, National Academy of Clinical
Chemistry
Name of institution where work was performed: Group Health
Cooperative, Seattle Washington
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