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Copyright © 1997, American Medical Informatics Association Automated Evidence-based Critiquing of Orders for Abdominal
Radiographs Impact on Utilization and Appropriateness Affiliations of the authors: Section for Clinical Epidemiology, Division of General Internal Medicine, Department of Medicine (LHH, JF, DWB); Department of Radiology (RK); and the Center for Applied Medical Information Systems Research (GJK, DWB), Brigham and Women's Hospital, Harvard Medical School, Boston, MA. Correspondence: Linda H. Harpole, MD, MPH, Duke University Medical Center,
P.O. Box 3228, Durham, NC 27710.E-mail:
harpo003/at/mc.duke.edu Received April 7, 1997; Accepted July 14, 1997. This article has been cited by other articles in PMC.Abstract Objective: Inappropriate utilization of diagnostic
testing has been well documented. The purpose of this study was to measure the
impact of presenting real time, evidence-based critiques about the
appropriateness of abdominal radiograph (KUB)orders on physician decision
making. Design: Prospective trial where evidence-based critiques were
presented to ordering clinicians in two kinds of situations: (1) a KUB was
likely to have a low probability of providing useful information, or (2) an
alternative view(s) was more appropriate given the clinical circumstance.
There were two phases of the trial: Phase 1 was a 9-week period where
evidence-based critiques were presented at the time of ordering a KUB,
followed by Phase 2, a 19-week period in which orderers were randomized to
receive critiques either amended to include both institutional data regarding
the utility of the critiques and stronger messages about the lack of utility
of the study, or the same critiques as presented in Phase 1, depending upon
indication. Based upon the radiologist's report of their interpretation of the
exams, the results of the examinations were scored as positive, equivocal, or
negative using structured criteria. Results: 299 KUBs in Phase 1 and 385 KUBs in Phase 2 received at
least one critique. Cancellation rates of low yield films were low, and were
similar in Phase 1 and 2, 8/258 (3%) vs. 10/283 (4%). Compliance with the
recommendation for alternative view(s) was higher: 19/104 (38%) in Phase 1 vs.
96/176 (55%) in Phase 2 (p = 0.006). The rules differentiated low-yield from
non-low-yield films: 5% of low-yield films vs. 20% of non-low-yield films were
positive in Phase 2 (p < 0.0001). Surgical physicians were less likely to
cancel (p = 0.07) or to change to the suggested view(s) (p < 0.0001) than
medical physicians or nurses. Conclusions: The intervention identified clinical situations in
which KUBs appeared to have a low clinical yield. In response to
evidence-based critiques, providers were reluctant to cancel their order, but
were more willing to change to different views. To reduce the number of
inappropriate radiographic films, stronger incentives or interventions may be
required. Inappropriate utilization of diagnostic testing has been well
documented.1,2,3,4
In attempts to improve the appropriateness of testing, multiple methodologies,
including audit and feedback, education, rationing, and financial incentives,
have been
attempted.1,2,3,4,5,6,7,8
These strategies have enjoyed some
success6,9
but require considerable time and effort to implement. Also, even when these
approaches have been successful, their effects have often diminished soon
after the interventions were
discontinued.10 Interventions that improve physician decision making may be most useful
when applied at the time of ordering. The advent of physician computer order
entry (POE) allows for this
possibility.11,12,13
In POE, orders are entered directly into an automated information system. The
system can require structured ordering, and reminders can be presented at the
time orders are written. To date, studies using computer order entry have evaluated the impact of
real-time reminders on the cost of test
ordering,10,14,15
redundant laboratory
testing,16
drug-drug interactions, and drug-lab
interventions.11
However, the effect of real-time, automated critiques on the ordering of
radiologic tests has not been reported. In this study, we presented real-time comments about the appropriateness of
abdominal radiographs (KUB) to physicians using a POE system, and we evaluated
the impact of these critiques on their decision-making behavior. Abdominal radiographs were chosen because they are performed frequently yet
often provide little information; additionally there is substantial evidence
regarding their utility for specific
indications.17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32. We hypothesized that real-time critiquing during the use of POE could
decrease inappropriate KUB ordering, thereby eliminating unnecessary films, as
well as improve the usefulness of the test by suggesting alternative view(s)
that could provide better clinical information. Methods Setting The study was conducted at the Brigham and Women's Hospital (BWH), a
720-bed tertiary care teaching hospital. Its integrated, computerized hospital
information system runs on a 3,000-node local area network (LAN) with
486-based personal computers serving as
workstations.11
Within this computerized information system, a POE application system was
developed and was implemented in
1993.11 At BWH, the
primary users of POE are housestaff and nurses. At the time of this study, all
in-patient orders were entered through the POE system. Most orders are written
using menus, and more than 90% are captured in coded
form.11 Capturing the Reason for the Radiograph in Coded Form To order a radiologic study at our institution, orderers are required to
provide the “relevant history items” and items to “rule out
or assess.” Prior to the study, physicians ordering abdominal
radiographs were required to enter the “relevant history items”
and items to “rule out or assess” into a free text box. For this
study, to permit critiquing, the patient's relevant history as well as items
the physician wanted ruled out or assessed when ordering an abdominal
radiograph were captured in coded form. To develop lists for these two fields,
the free text reasons for a 2-month period were reviewed, put into categories,
and ranked. The most common categorical reasons then were used for the
structured KUB ordering form, which contained the 11 most commonly entered
“relevant history” items and 10 commonly entered “rule out
or assess” items. This structured ordering form was then tested and
re-ranked before determining the final version
(Fig. 1
Development of Critiquing Messages The literature regarding KUBs was
reviewed,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32
and lists of appropriate and inappropriate reasons for ordering a KUB were
developed. From the common history and assessment items listed on the
structured ordering form, eight combinations of history and assessment items
that reflected inappropriate reasons for ordering a KUB were determined, based
upon the literature and expert opinion in our medicine, surgery,
obstetrics/gynecology, and radiology departments. These situations reflected
instances in which, given the identified history and assessment items, a KUB
was unlikely to add diagnostic information (see Appendix). The POE system was
modified so that, when a physician entered certain history and assessment
items (Appendix), a screen would be displayed stating that the test was
unlikely to yield worthwhile information. For example, if G (right lower
quadrant pain) and S (appendicitis) were chosen from the structured KUB
ordering form (Fig. 1
Two situations in which an alternate view(s) might be superior to a KUB
were also identified (Appendix). For example, if a KUB with both upright and
supine views is ordered when perforation was suspected, a message would be
displayed suggesting that a chest PA view and a KUB (supine alone) film would
be preferable, unless the patient was unable to stand, in which case a lateral
decubitus film of the abdomen and a KUB (supine alone) film would be
recommended (Fig. 3
For all exams, instructions directed the orderer to enter the most likely
indication for the study first, the second next, and so forth. If more than
one selection were chosen by the orderer for the “relevant
history” or “item to rule out or assess,” the evidence-based
message would be triggered from the first item entered only. When available,
full abstract(s) from scientific papers supporting the messages were
accessible on-line at the time of receiving a
message.18,19,21,22,26,27,28,29,30,31 Intervention Prior to implementation of the evidence-based messages, a letter of
introduction and an explanation of the intervention were mailed via computer
to all order-entry users. The letter was endorsed by the chairmen of the
departments of Medicine, Surgery, Obstetrics/Gynecology, and Radiology. Study Period and Outcomes In Phase 1, from August 1, 1995, to September 30, 1995, all KUB in-patient
orders were subject to the evidence-based messages. The main outcome measures
were cancellation rates and the frequency with which orders were changed to
suggested view(s). A secondary outcome was the yield of important diagnostic
information in films that were predicted to be of low utility but were
nevertheless obtained. (Films were graded by guided implicit review, described
in the following section.) In Phase 2, based on the findings from Phase 1, the evidence-based messages
were amended, and orderers were randomized to receive either the same
(“control group”) or amended (“intervention group”)
messages. One message (Appendix, low yield rules, no. 5) was supposed to be
amended for all future orders, as too many positive films were found when
suggestions to cancel were overridden; however, the original rule was
inadvertently displayed to the control group of orderers. Other “low
yield” messages were amended to include data from the Phase 1
experience, further emphasizing that, for the given indications, KUB was
likely to have little value. In addition, one of the alternate exam messages
was re-written more emphatically. In Phase 2 of the evaluation of
evidence-based messages (November 10, 1995, to March 21, 1996), all users of
order-entry were randomized to receive either the initial or amended
evidence-based messages to evaluate whether feed-back of institutional data
and stronger messages might have a larger impact on ordering behavior than
delivery of messages without local data alone. KUB Film Radiographic Evaluation The radiologists' transcribed reports of all KUBs were reviewed using a
guided implicit approach by one reviewer (LH) and were scored as positive,
equivocal, or negative. Specifically, the reviewer graded films as positive if
any of the following were present: bowel obstruction, bowel ischemia
perforated viscous, free air not following surgery, volvulus, misplaced
feeding tube, evaluation of ureteral stent placement, evaluation of barium
prior to CT scan, foreign body; as equivocal if one of the following were
present: possible ileus, possible ileus vs. small bowel obstruction,
moderately dilated loops of bowel, gastric distention, questionable ischemic
changes, possible urinary tract stone, possible pneumatosis; or as negative in
the presence of none of the above (normal film). To evaluate the consistency
of interpretation, a random sample of 50 films were reviewed by a second
reviewer using the same criteria. Percent agreement was 94%, and the kappa
between the reviewers was 0.80, suggesting good agreement. Analysis Rates of cancellation and change to suggested view(s) were calculated for
both Phase 1 and 2 and compared by the chi square test. Rates of cancellation
and change to suggested views were also compared within Phase 2 between the
“control” and “intervention” groups. Rates of
cancellation and change to suggested view(s) for all films were compared by
type of orderer (medicine physician, surgery physician, nurse).
Characteristics of patients (age, gender, race, clinical service) who received
the KUBs were obtained from the computerized information system and compared
across the two phases using the chi-aquare test for categorical variables, and
Student's t test for continuous variables. The KUB results for low-yield and
non-low-yield films were compared within the two phases by the chi-square
test. The potential impact of KUB results upon clinical care for all positive
films was evaluated through medical record chart review. The potential impact
of canceled KUBs upon clinical care was evaluated through medical record chart
review of patients in whom a KUB was canceled. Interrater reliability for KUB
film results was determined using the kappa statistic. Time trend analyses of
the number of KUBs during a 26-month period was performed using piece-wise
regression.33 Results Overall, 681 patients had 1,244 KUB films performed during the 6-month
trial: 190 patients during Phase 1 (380 films) and 491 patients during Phase 2
(864 films). Neither the patient characteristics nor the orderer type differed
between the two phases (Tables
1A,1B).
In Phase 1, 79% of KUBs ordered resulted in at least one critique, either
low yield or alternate exam, as compared with Phase 2, in which 45% of KUBs
ordered resulted in at least one message
(Table 2). Between Phase 1 and
the start of Phase 2, a rule that had accounted for 32% of low-yield film
reminders in Phase 1 was removed for one group of orderers in Phase 2,
accounting for the majority of this difference. In Phase 2, there were no
differences in the rate of cancellation of low-yield films, change to
suggested view(s), or results of low-yield films between the two randomized
groups. For this reason, all Phase 2 films are considered together.
Cancel rates for orders receiving a low yield message were low in both
Phase 1-8/258 (3%)—and in Phase 2-10/283 (4%)—despite
strengthening the messages and improving specificity
(Table 2). The results were
better for orders receiving an alternate exam message: 38% changed as
suggested in Phase 1, versus 55% in Phase 2 (p = 0.006,
Table 2). More specifically,
for messages suggesting a KUB supine alone (Appendix, alternate exam rule no.
1), 33% (13/39) of the messages were followed as suggested in Phase 1, versus
40% (29/71) in Phase 2. For messages suggesting upright chest x-ray in
addition to supine KUB (Appendix, alternate film rule no. 2), 40% (26/65) were
followed in Phase 1 and 64% (67/105) in Phase 2. The review of the KUB reports (Table
3) showed that the percentage of positive films was significantly
lower and the percentage of negative films significantly higher for films that
received a low-yield critique as opposed to those that did not in both Phase 1
and Phase 2. After the removal of one rule that included 80% of the positive
films in Phase 1, only 3% of the remaining films within the low-yield category
of Phase 1 were positive. With removal of this rule from one group of orderers
prior to Phase 2 of the trial, 5% of films were positive. Of note, this rule
was to have been removed from all orderers in Phase 2, but it inadvertently
was displayed to the “control group” of orderers. If this had not
occurred, the positive film rate in Phase 2 would have been even lower,
approximately 3.5%.
After excluding the rule that was problematic from Phase 1, review of the
positive films that resulted from indications prompting a low-yield message
revealed a few results of clinical importance
(Table 4). For Phase 1, of 3
films which were positive, none had any apparent effect on clinical outcome.
In Phase 2, 12 positive films resulted from indications receiving a low-yield
message. Of the 12 films, 6 were determined to have a significant effect on
clinical outcome, and 6 were determined to have an indeterminate effect. Of
these 12 films, 5 resulted from the orderer entering an inaccurate indication
for the study, thus resulting in the presentation of a low-yield message that
would not have occurred if the orderer had indicated the correct reason for
the study. For example, one low-yield critique resulted from the orderer
entering “nephrolithiasis” as the reason for ordering a film in a
patient who was receiving follow-up KUBs for a known small bowel obstruction.
Of the four positive films remaining (excluding the films resulting from
mistakenly delivered reminders n = 3), two had a significant effect on
clinical management (small bowel obstruction resulting in enema and lactulose,
partial colonic obstruction resulting in flexible sigmoidoscopy), and two had
indeterminate effects (feeding tube looped in mid-esophagus but no further
radiologic evaluation; feeding tube at gastroesophageal junction but no
further radiologic evaluation). For films scored as equivocal, 87% were read
as possible ileus, 9% as possible stone in the urinary system, and 4% with
other questionable findings (possible ischemic changes, possible splenic
enlargement).
Low-yield film critiques were more likely to be received by medicine
physicians and nurses than by surgical physicians for KUBs ordered
(Table 5). In addition,
alternative view(s) critiques were also more often received by medicine
physicians and nurses than by surgical physicians. However, for orders
receiving low-yield critiques, medicine physicians and nurses more often
canceled the KUB than did surgical physicians, although this trend did not
reach statistical significance (p = 0.07). Additionally, for orders receiving
alternative view(s) critiques, suggestions to switch to an alternative view
were more often adhered to by medicine physicians and nurses than by surgical
physicians. The results of films performed, in spite of a low-yield critique,
did not differ significantly among nurses, medicine, and surgical physicians
(p = 0.65).
Because physicians might learn over time not to order examinations that are
low yield, we evaluated the frequency with which KUBs were performed during
the study period (Fig. 4
With the current results, annual charge savings of only $6,000 of a
potential $98,500 were realized. This estimate is based upon a 4% cancellation
rate of low-yield film orders (50% KUB one-view orders only—$83
charge—and 50% KUB two-view orders—$138 charge), and a 40%
adherence to the critique to change from two KUB views to one ($55 charge
saving per order). Discussion In this study, we found that orderers were reluctant to cancel radiographs
that were likely to be of low yield when presented with evidence-based
messages in real time. This was the case even though review of the results of
the films demonstrated that our rules for identifying low-yield indications
were valid. Orderers were, however, more amenable to changing to the suggested
view(s) when presented with suggestions to change the ordered test to an
alternate examination. Thus, providers were willing to substitute but not
forgo imaging once the decision to order a KUB had been made. Changing physician behavior has been
difficult,34 and
efforts to improve decision-making behavior have met with a variety of
results. A number of studies attempting to decrease inappropriate resource
utilization have been unsuccessful, despite using a variety of methodologies,
including education and
feedback,3 education
and audit,1 risk
estimates, and triage
recommendations.35
Interventions developed to improve the quality of care by suggesting
additional and/or alternative testing have been more
effective,15,36,37,38,39,40,41
compatible with the findings of this study that providers were more willing to
substitute for or change the number of view(s) of KUBs than to cancel a
planned examination. There are several possible reasons why the orderers were unwilling to
cancel the requested exams. First, the orderers in this study were residents,
who were not directly responsible for the financial consequences of their
actions. Second, the orderers may not have been the decision makers (e.g., 22%
of KUB orders entered by nurses) but merely individuals carrying out the
commands of more senior housestaff or attending physicians. They may not have
felt that they were in a position to act independently upon the critiques.
Third, failure may have been due to the mechanism by which the intervention
was introduced. Except for a brief letter of introduction prior to turning on
the intervention, no formal, direct education with the housestaff occurred,
and critiques regarding the utility of KUBs for selected indications were
presented by computer only. Perhaps if the housestaff had received educational
lectures on the utility of KUBs in addition to the information provided
on-line, a greater impact would have been realized. Alternatively, providing
individualized retrospective data to the housestaff about their KUB-ordering
behavior and its yield might have been helpful, a technique that has been
variably
successful.1,3,9,14
Fourth, the limited impact of the intervention could have been due in part to
users' distrust regarding the validity of the critiques because of the display
of a rule that, although later removed, initially had poor predictive value.
However, it is unlikely that this played a large role, as there were few
encounters with the KUB critiques per user, and thus it is unlikely that they
“learned” to distrust the intervention. Involving the housestaff
in the development of the criteria, another potentially successful
technique,6 could
also have been helpful in getting the housestaff to “buy in” to
the validity of the evidence-based critiques. Although the rules from which the critiques were developed successfully
differentiated low-yield from non-low-yield KUBs, the intervention had only a
small effect on utilization. The implementation of rules, or
“guidelines,” can be difficult; guidelines can be perceived to be
of varying quality, ranging from clearly defined and proven rules to unproved
suggestions.42 In
addition, physicians may be hesitant to make a decision based upon guideline
recommendations, particularly if they are concerned about the medical-legal
implications of following a guideline that could result in an unfavorable
clinical result. This concern has some validity, since guidelines have been
used to incriminate as well as exonerate physicians, although generally
physicians are on firmer ground when they follow
guidelines.43
Additionally, although the rules utilized here were tested for their ability
to identify low-yield utilization during the study and appeared to be
effective, including data about their local performance in Phase 2 was no more
successful at changing ordering behavior than the presentation of the
literature-based critiques in Phase 1. Stronger interventions, such as
requiring a radiology consultation of examinations likely to be of low yield
or giving individual house officers' data on their respective ordering
behavior to their superiors could have had a larger impact, but they would be
more intrusive. If orderers had canceled all low-yield films as suggested, two positive
films that significantly affected clinical management would have resulted
(0.8% of all low-yield films, excluding those that resulted from the orderer
entering an incorrect reason for the KUB). Although it was our impression that
films that were scored as equivocal would not result in a change in clinical
management, it is possible that not performing these films could have affected
patient outcomes. However, none of these films appeared to provide a
definitive answer to a clinical question. Further diagnostic testing or
reliance on clinical history and exam would be required, suggesting that the
KUB was of little clinical benefit to the patient in these circumstances. In
addition, there were 18 KUBs canceled in total; upon review of the medical
record, none of these cancellations appeared to affect clinical
management. Interestingly, there were significant differences in ordering behavior
between medicine and surgical physicians. Although surgical physicians were
more resistant to suggestions to cancel and to change their orders, they were
also less likely to receive a low-yield or alternate exam critique, suggesting
that either their clinical judgment as to when a KUB study was necessary was
better than the other orderers, or that the prevalence of disease that a KUB
would detect was higher in their population. Different strategies may be
necessary to affect behavior for different provider and patient groups. Future
studies could focus on this as well as on other important areas, including
user satisfaction with the decision-support systems. A satisfaction study
performed at our institution prior to this study found high levels of
satisfaction overall with the POE
system,44 and a
follow-up questionnaire found an average satisfaction score of 3.5 on a scale
of 1-7 for suggestions regarding low-yield studies (unpublished data). This study has several limitations. For one, it is not clear how the
results will generalize to other settings. For example, if the KUB
decision-support system were instituted in a setting where incentives were
better aligned with its purpose—in a more mature managed-care
environment, for instance, or one in which the orderers felt the financial
impact of their actions—the results might have been more favorable.
Also, while the financial savings were small, they could have been larger had
the intervention been implemented in emergency and outpatient units, where the
literature suggests the yield of KUBs may be lower than in the in-patient
setting.26 We conclude that an intervention to identify low-yield KUBs was effective
for identifying low-yield examinations, although simply presenting a
computerized critique was rarely sufficient to convince providers to cancel
orders. Providers were, however, more willing to “change
direction”—that is, to order more appropriate views. To
substantially reduce the number of inappropriate radiographic exams, stronger
incentives or interventions may be required. Computers offer the opportunity
to give patient-specific, real-time feedback to providers. This will
undoubtedly prove an important tool for changing behavior; we are still
learning how best to use it. Appendix Table 7
Notes Presented in part at the Annual Meeting of the Society of General Internal
Medicine, May 1996, Washington, DC. Supported in part by R01 HS08927 from the Agency for Health Care Policy and
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JAMA. 1973 Aug 20; 225(8):969-73.
[JAMA. 1973]Med Care. 1977 Nov; 15(11):915-21.
[Med Care. 1977]J Gen Intern Med. 1986 Jan-Feb; 1(1):8-13.
[J Gen Intern Med. 1986]Arch Intern Med. 1974 Dec; 134(6):1064-7.
[Arch Intern Med. 1974]JAMA. 1988 Feb 26; 259(8):1194-8.
[JAMA. 1988]J Am Med Inform Assoc. 1994 Mar-Apr; 1(2):108-23.
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[Ann Emerg Med. 1986]Clin Radiol. 1985 Jan; 36(1):41-2.
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[Arch Intern Med. 1991]Ann Emerg Med. 1986 Mar; 15(3):257-60.
[Ann Emerg Med. 1986]Clin Radiol. 1985 Jan; 36(1):41-2.
[Clin Radiol. 1985]Am J Surg. 1976 Feb; 131(2):219-23.
[Am J Surg. 1976]Br Med J (Clin Res Ed). 1985 Jun 29; 290(6486):1934-6.
[Br Med J (Clin Res Ed). 1985]Arch Intern Med. 1991 Aug; 151(8):1589-92.
[Arch Intern Med. 1991]Ann Emerg Med. 1986 Mar; 15(3):257-60.
[Ann Emerg Med. 1986]Clin Radiol. 1985 Jan; 36(1):41-2.
[Clin Radiol. 1985]Br Med J (Clin Res Ed). 1985 Jun 29; 290(6486):1934-6.
[Br Med J (Clin Res Ed). 1985]Arch Intern Med. 1991 Aug; 151(8):1589-92.
[Arch Intern Med. 1991]Ann Intern Med. 1982 Aug; 97(2):257-61.
[Ann Intern Med. 1982]Am J Public Health. 1981 Jan; 71(1):38-46.
[Am J Public Health. 1981]J Gen Intern Med. 1986 Jan-Feb; 1(1):8-13.
[J Gen Intern Med. 1986]JAMA. 1973 Aug 20; 225(8):969-73.
[JAMA. 1973]Ann Intern Med. 1995 Mar 15; 122(6):434-7.
[Ann Intern Med. 1995]Med Care. 1993 Jun; 31(6):552-8.
[Med Care. 1993]JAMA. 1980 Oct 3; 244(14):1579-81.
[JAMA. 1980]JAMA. 1973 Aug 20; 225(8):969-73.
[JAMA. 1973]J Gen Intern Med. 1986 Jan-Feb; 1(1):8-13.
[J Gen Intern Med. 1986]Arch Intern Med. 1985 May; 145(5):816-21.
[Arch Intern Med. 1985]Arch Intern Med. 1989 Feb; 149(2):426-9.
[Arch Intern Med. 1989]Arch Intern Med. 1989 Mar; 149(3):549-53.
[Arch Intern Med. 1989]JAMA. 1994 Mar 16; 271(11):872-3.
[JAMA. 1994]Ann Intern Med. 1995 Mar 15; 122(6):450-5.
[Ann Intern Med. 1995]J Am Med Inform Assoc. 1996 Jan-Feb; 3(1):42-55.
[J Am Med Inform Assoc. 1996]Ann Intern Med. 1982 Aug; 97(2):257-61.
[Ann Intern Med. 1982]