Jason Dana*
Physicians take an altruistic pledge to consider their patient’s interests ahead of their own in clinical practice. Likewise, medical researchers have a professional obligation to conduct their research ethically in their search of truth. A conflict of interest is a set of circumstances that creates a substantial risk that professional judgment or actions regarding a primary interest will be unduly influenced by a secondary interest. Although the information in this report can be applicable to many types of conflict of interest, it focuses on financial conflicts of interest, which can occur when medical professionals interact with the pharmaceutical industry. For example, when physicians accept support for clinical research or continuing education programs, accept consultantships and appointments to industry-sponsored speakers bureaus, or have informal meetings with pharmaceutical sales representatives who buy lunch and bring drug samples, there is concern about the impact of these relationships on prescribing behaviors and professional responsibilities (Marco et al., 2006).
The purpose of this paper is to bring basic psychological research to bear on understanding financial conflicts of interest in medicine and effectively dealing with these conflicts. A particular focus will be research on self-serving biases in judgments of what is fair. This research shows that when individuals stand to gain by reaching a particular conclusion, they tend to unconsciously and unintentionally weigh evidence in a biased fashion that favors that conclusion. Furthermore, the process of weighing
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D
How Psychological Research Can
Inform Policies for Dealing with
Conflicts of Interest in Medicine
Jason Dana*∗
Physicians take an altruistic pledge to consider their patient’s interests
ahead of their own in clinical practice. Likewise, medical researchers have a
professional obligation to conduct their research ethically in their search of
truth. A conflict of interest is a set of circumstances that creates a substan-
tial risk that professional judgment or actions regarding a primary interest
will be unduly influenced by a secondary interest. Although the informa-
tion in this report can be applicable to many types of conflict of interest,
it focuses on financial conflicts of interest, which can occur when medical
professionals interact with the pharmaceutical industry. For example, when
physicians accept support for clinical research or continuing education
programs, accept consultantships and appointments to industry-sponsored
speakers bureaus, or have informal meetings with pharmaceutical sales rep-
resentatives who buy lunch and bring drug samples, there is concern about
the impact of these relationships on prescribing behaviors and professional
responsibilities (Marco et al., 2006).
The purpose of this paper is to bring basic psychological research to
bear on understanding financial conflicts of interest in medicine and ef-
fectively dealing with these conflicts. A particular focus will be research
on self-serving biases in judgments of what is fair. This research shows
that when individuals stand to gain by reaching a particular conclusion,
they tend to unconsciously and unintentionally weigh evidence in a biased
fashion that favors that conclusion. Furthermore, the process of weighing
* Jason Dana, Ph.D., is professor of psychology in the Department of Psychology, University
of Pennsylvania, Philadelphia.
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APPENDIX D
evidence can happen beneath the individual’s level of awareness, such that
a biased individual will sincerely claim objectivity. Application of this re-
search to medical conflicts of interest suggests that physicians who strive
to maintain objectivity and policy makers who seek to limit the negative
effects of physician-industry interaction face a number of challenges. This
research explains how even well-intentioned individuals can succumb to
conflicts of interest and why the effects of conflicts of interest are so insidi-
ous and difficult to combat.
The section Unconscious and Unintentional Bias describes the psy-
chological research on bias in more detail, and its relevance to financial
conflicts of interest will be made clearer. The section Parallel Evidence in
the Medical Literature then provides a brief review that demonstrates the
correspondence between the findings from studies of conflicts of interest
in the medical field and the findings from basic studies of bias in the field
of psychology. The section Implications for Policies Dealing with Medical
Conflict of Interest details for policy makers how approaches including
educational initiatives, mandatory disclosure, penalties, and limiting the
size or type of gifts can be informed by the psychological bias literature.
The Methods and Limitations of the Data briefly addresses the propriety of
applying psychological experiments to professionalism in medicine. Finally,
a conclusions section summarizes what can be learned from the psychologi-
cal literature.
UNCONSCIOUS AND UNINTENTIONAL BIAS
One intuitive view of financial conflicts of interest is that the physicians
who are swayed by them are corrupt. Physicians have taken an oath to
put their professional obligations first, so that if they are indeed influenced
by private financial incentives, they have chosen not to uphold that oath.
Although there may indeed be a minority of individuals who are funda-
mentally corrupt, most physicians certainly try to uphold ethical standards.
This intuition is implicit in the guidelines set forth by the American Medi-
cal Association, the American College of Physicians, and the self-imposed
guidelines of the Pharmaceutical Manufacturers Association, all of which
stress that gifts accepted by physicians should primarily entail a benefit
to patients and should not be of substantial value, suggesting that the
temptation to provide or accept large or personal gifts is a concern. This
view perhaps suggests that physician relationships with the pharmaceuti-
cal industry are problematic and can elicit hostility from some physicians.
Understandably, most physicians see themselves as ethical people who
would not place their objectivity for sale, and so they believe that they can
be trusted to navigate these conflicts when dealing with industry. Com-
pounding matters, many enticements from industry are of relatively small
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60 CONFLICT OF INTEREST
financial value. This prompts responses that physicians are “above sacrific-
ing their self-esteem for penlights” (Hume, 1990) or that if panelists on a
scientific committee are influenced by receiving reimbursement for travel
and expenses, someone “bought their opinions” and “they obviously come
cheap” (Coyne, 2005).
This view is also compatible with an orthodox economic approach,
which casts succumbing to conflicts of interest as the rational output of a
cost-benefit calculation. In that case, solutions to problems of conflicts of
interest would involve better monitoring and punishment, hopefully to the
point at which ethical lapses would be too costly to indulge.
Evidence from psychology offers us a different view, one in which our
judgments may be distorted or biased in ways of which we are unaware.
Some of the most compelling evidence of bias comes in the domain of
optimism about the self. There is, for example, much evidence that people
engage in self-deception that enhances their views of their own abilities
(Gilovich, 1991). One of the most oft cited and humorous examples of self-
enhancement is found in a study that reported that 90 percent of people
thought they were better drivers than the average driver (Svenson, 1981).
Such biases have been dubbed “self-serving” (Miller and Ross, 1975) when
they lead one to take credit for good outcomes and blame bad outcomes
on external sources. Although an unrealistic optimism about the self is
sometimes adaptive and healthy (Taylor and Brown, 1988), these biases
can lead to judgments that are unwise or unjust in situations in which we
are epistemically responsible for being correct.
Perhaps most relevant to the issue of financial conflicts of interest are
well-known self-serving biases in the interpretation of what allocations are
fair or just. A classic demonstration of self-serving bias in fairness comes
from a study by van Avermaet (reported by Messick, 1985). Subjects were
instructed to fill out questionnaires until they were told to stop. When the
subjects finished, the experimenter left them with money that they could use
to pay themselves and send in an envelope as pay for another subject who
had already left. In four different conditions, the subject was told one of the
following four different conditions: (1) the other subject had put in half as
much time and had completed half as many surveys, (2) the other subject
had put in half as much time but had completed twice as many surveys, (3)
the other subject had put in twice as much time but had completed half as
many surveys, or (4) the other subject had put in twice as much time and
had completed twice as many surveys.
It is first interesting to note that almost everyone took the trouble to
send the other person a share of the money, even though they were free to
keep it all. It was not clear to the author that the rare cases of nonreturn
were not due to a mistake or a lost envelope. Clearly, the subjects’ sense of
ethics served as a powerful constraint on their behavior: keeping all of the
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6
APPENDIX D
money would be unjustifiably selfish and unfair because the other subject
at least did similar work, so most subjects shared it. How they shared the
money, however, provides an interesting insight into human nature. The
subjects who worked twice as long and completed twice as much kept twice
as much money, on average, a simple application of a merit principle to pay.
The subjects kept more than half of the money, however, both under the
condition in which they worked longer and completed less and under the
condition in which they completed more work and did not work as long.
Again, their behavior was consistent with a merit principle, but the prin-
ciple chosen, on average, systematically favored the subject making the al-
location. Finally, when the subjects completed only half as much work and
worked only half as long, they did not, on average, give the other subject
twice as much money. Instead, the subjects kept about half of the money,
on average, consistent with a rule of equal division rather than merit.
What we can take away from the van Avermaet study is that most
people are not unabashedly selfish; they have a sense of what is fair and
tend to abide by it. Yet, that does not mean that judgments of fairness are
not systematically biased to favor the self. When people are free to choose
among competing principles of fair behavior, they tend to gravitate toward
those principles that most favor their own interests. Other early experi-
ments have similarly found that interpretations of fair allocations of pay are
self-servingly biased (Messick and Sentis, 1979). One potential shortcom-
ing of these experiments, however, is that they used a survey methodology.
Thus, the subjects’ self-interest was imagined, and they had no motivation
to honestly report what they thought was fair. Thus, although it is apparent
that the subjects had malleable interpretations of what was fair, it is not
always clear whether these interpretations reflected a bias or, for example,
a strategic effort on the part of the subjects. In that case, one wonders if
the use of sufficient compensation would erase the effect.
A series of experiments by behavioral economists (Loewenstein et al.,
1992; Babcock et al., 1995) addresses this problem through the use of
real money incentives without deception and establishes that self-serving
interpretations can arise as unwitting and unintentional biases. Simulating
pretrial bargaining, Loewenstein et al. (1992) conducted bargaining experi-
ments in which subjects were presented with case materials (depositions,
police reports, etc.) from an actual law suit. The subjects were randomly
assigned to the role of either the plaintiff or the defendant and were asked
to negotiate a settlement in the form of a payment from the defendant to the
plaintiff. At the outset, the experimenters gave the defendants a monetary
endowment to finance the settlement, and the division of the endowment
that the subjects agreed upon through bargaining was what they took
home as pay. The longer that it took the parties to agree to a settlement,
the more that both were penalized by having the endowment of money that
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6 CONFLICT OF INTEREST
they were dividing shrink. If they failed to settle, the defendant’s payment
to the plaintiff, based on the smaller endowment size, was determined by
a neutral judge who had reviewed all of the case materials. Before they ne-
gotiated, both the plaintiffs and the defendants were asked to predict how
the neutral judge would rule in the case and were also paid for the accuracy
of this prediction.
The subjects in this experiment had every incentive to be objective in
seeking a settlement; if their demands were unreasonable, the pot of money
would only shrink and ultimately the award would be determined by a
neutral and informed party. If the subjects’ estimates of a fair settlement
were biased in a self-serving manner, however, they might be inclined to
view the other party’s offer as unjust and unacceptable. Indeed, the subjects
were often unable to settle, to their own detriment. Direct evidence that
the self-serving bias played a role in this failure to settle came in the form
of the predictions of the judge’s ruling. The plaintiffs’ predictions of the
judge’s award to them were, on average, substantially higher than those of
the defendants, even though the estimates were secret and had no bearing
on the settlement and both parties were paid to be accurate in their esti-
mates. Furthermore, the larger that the discrepancy between a particular
plaintiff’s and defendant’s estimates was, the lower was their likelihood of
settlement, and hence, they both left the experiment worse off in terms of
payment. This evidence suggests that self-serving biases are unintentional
because people are often unable to avoid being biased, even when it is in
their best interest to do so.
In subsequent experiments that used the same paradigm (Babcock et al.,
1995), the settlement rates were markedly improved by assigning subjects
their roles only after they had read the transcripts. In this way, any motiva-
tion to interpret evidence as favorable to one side over another while the
subjects were reading and evaluating the materials was removed. Without
the subjects having a self-interested conclusion to reach, interpretations
of fairness, as measured by predictions of the judge’s ruling, looked more
like those of a neutral third party than an interested party. In principle, of
course, these judgments were exactly like a third party’s judgment. The
finding is important, however, because these subjects still had the same
bargaining task as in the earlier experiments. Thus, one cannot conclude
that the majority of failures to settle were due to the subjects being overly
competitive or having a poor strategy. Rather, manipulations targeting the
objectivity of the fair ruling judgment increased the settlement rates. This
finding suggests that self-serving biases work by way of distorting the way
that people seek out and weigh information when they perceive that they
have a stake in the conclusion.
The motivated reasoning displayed by the subjects in the study of
Loewenstein et al. (1992) confirms the general findings from social psychol-
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6
APPENDIX D
ogy research. Gilovich (1991) describes the different evidential standards
that people typically use to evaluate propositions that they wish to be true
versus propositions that they wish to be false. When they evaluate an agree-
able proposition, people ask, “Can I believe this?” When they evaluate a
disagreeable position, people ask, “Must I believe this?” The former ques-
tion implies a more permissive evidential standard because it requires the
decision maker only to seek out confirmatory evidence, whereas the latter
question implies that the proposition must survive a search for disconfirm-
ing evidence.
These different evidential standards are exemplified by studies that
use a variant of the classic Wason card selection task (Wason, 1966). The
Wason task asks subjects to test an abstract logical rule by choosing which
pieces of information that they want to be revealed to them. An overwhelm-
ing majority of subjects, even those with high levels of formal education,
fail to reason through this task properly. The most common mistake that
they make is selecting information that could confirm the rule but that is
useless for testing it while failing to select information necessary for testing
the rule because it could disconfirm it.
Dawson and colleagues (2002) modified the Wason card selection task
by having subjects sometimes test hypotheses that they did not want to
believe, such as those that implied their own early death. Providing moti-
vation not to believe in this manner improved the subjects’ performance
over that in situations in which the subjects were testing nonthreatening
or agreeable hypotheses. This finding is interesting because it shows not
only that people approach the problem differently when the hypothesis
is agreeable or disagreeable but also that the proper motivations can lead
them to solve problems that they are otherwise incapable of solving. Thus,
motivated reasoning appears to operate at a preconscious level.
The “can I?” versus “must I?” distinction in the motivated evalua-
tion of evidence could be applied to thinking in many financial conflict of
interest situations. For example, a physician may evaluate evidence that a
particular treatment is effective. If that physician stands to make money
by prescribing that treatment, the motivation of financial gain may make
his or her evaluation of the drug’s effectiveness hold to a weaker evidential
standard.
In further studies on the self-serving bias, Babcock et al. (1995) at-
tempted to reduce bias by educating subjects, describing to them the behav-
ioral regularities of bias that lead to disagreement, and testing the subjects
to make sure that they understood. This intervention, on average, had little
success in improving settlement rates. It did help the subjects recognize
bias, but mostly in their negotiating opponents rather than in themselves.
Moreover, those subjects who did concede that they might be somewhat
biased tended to drastically underestimate how strong their bias was. This
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6 CONFLICT OF INTEREST
finding suggests not only that bias is unconscious but also that conscious
attention alone cannot be expected to remove bias.
This finding—that teaching people about bias makes them recognize
it in others but not themselves—has since been confirmed and extended.
Several studies of the “bias blind spot” (Pronin et al., 2002) have found
that for any number of cognitive and motivational biases that the research-
ers can describe, subjects will, on average, see themselves as less subject to
the bias than the “average American,” classmates in a seminar, and fellow
airport travelers. That is, the average subject repeatedly sees himself or her-
self as less biased than average, a logical impossibility in the aggregate that
suggests that self-evaluations of bias are systematically biased. Furthermore,
experiments have shown that when people rate themselves as being less bi-
ased than they rate the average person, they subsequently tend to insist that
their ratings are objective (Pronin et al., 2002; Ehrlinger et al., 2005). Much
like in the study of Loewenstein et al. (1992), this insistence persists even
after the subjects read a description of how they could have been affected
by the relevant bias. Why do people recognize less bias in themselves than
in others, and why does education not make this bias go away?
Further studies of the bias blind spot (Ehrlinger et al., 2005; Pronin and
Kugler, 2007) have identified a mechanism behind this behavior that they
term an “introspective illusion.” Being privileged to their own thoughts,
people use introspection to assess bias in themselves. Because biases like the
self-serving bias operate below the level of conscious awareness, they can
“see” that they are not biased; at least, they have no experience of bias and
so conclude that they are not biased. When they assess bias in others, how-
ever, people do not have the privilege of knowing what a person thought
and must rely on inferences based on the situation. If another’s behavior is
consistent with a bias, people will often conclude that the other is biased.
Learning about various cognitive and motivational biases can exacerbate
these “I’m better-than-average” effects. People will often still hold that they
are not biased because they “know” their own thoughts, but they will now
know what to look for in a situation that could bias others. The bias blind
spot gives us one way of understanding why such strong disagreements can
take place over whether conflicts of interest are problematic.
In summary, psychological research suggests that people are prone to
having optimistic biases about themselves. Judgments about what is fair or
ethical are often biased in a self-serving fashion, leading even ethical people
to behave poorly by objective standards. Self-serving bias is unconscious
and unintentional, and people often fall prey to it even when they do not
want to do so and they do not know they are doing it. The bias works by
influencing the way in which information is sought and evaluated when the
decision maker has a stake in the conclusion (financial or otherwise). The
bias thus leads to the use of more lax evidentiary standards when the deci-
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APPENDIX D
sion maker wants to believe something than when the decision maker does
not. Teaching about egocentric biases like the self-serving bias does little to
mitigate them because when people examine their own thinking, they do
not experience themselves as being biased. People do learn to look for bias
in others, however, which can lead them to conclude that others are biased
while they themselves are not.
PARALLEL EVIDENCE IN THE MEDICAL LITERATURE
Medical research on conflicts of interest—such as research on atti-
tudes about or the influences of gifts to physicians from industry—has not
set out to research whether unintentional bias exists. The findings in the
medical literature, however, correspond nicely with the findings from basic
psychological studies of bias. This correspondence serves as support for
the idea that the model of unconscious and unintentional bias can help us
understand conflicts of interest in medicine.
Most prominently, although some physicians may admit to the possibil-
ity of being influenced, physicians typically deny that they are influenced
by interactions with and gifts from industry, even though research suggests
otherwise (Avorn et al., 1982; Lurie et al., 1990; Wateska, 1992; Caudill et
al., 1996; Orlowski and Gibbons et al., 1998; Adair and Holmgren, 2005).
The question is whether these denials by and large reflect a sincere belief
in one’s objectivity. Accumulating evidence suggests that physicians believe
that other physicians are more likely to be influenced by gifts than they
themselves are (McKinney et al., 1990).
A study of medical residents (Steinman et al., 2001) found that 61 per-
cent reported that “promotions don’t influence my practice,” while only 16
percent believed the same about other physicians. Findings that residents in
general believe that others are more likely to be influenced by interactions
with industry than they are have been confirmed in a more recent review
(Zipkin and Steinman, 2005). Morgan et al. (2006) found that for all of
four different gifts, ranging in size from a drug sample to an offer of a
well-paid consultancy based only on prescribing volume, physicians rated
themselves as less likely, on average, to be influenced by their acceptance of
a gift than their colleagues. Even medical students see gifts of equal value
as being more problematic for other professions than their own (Palmisano
and Edelstein, 1980).
There is even some direct evidence that physicians do not appreci-
ate industry’s influence on them. Orlowski and Wateska (1992) tracked
the pharmacy inventory usage reports for two drugs after the companies
producing the drugs sponsored 20 physicians at their institution to attend
continuing medical education seminars. The rates of use of the drugs de-
scribed at these seminars increased, both in time series analysis of the rate
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66 CONFLICT OF INTEREST
of use of the drugs at the institution and in comparison with the national
average rate of use during the same period. However, before they attended
the seminars, all but one of the physicians denied that the seminars would
influence their behavior. Being asked about bias should make physicians
more aware of the potential of bias entering into the seminar, yet this did
not prevent the seminar from apparently having an impact on the physi-
cians’ decisions.
A retrospective study (Springarn et al., 1996) tracked house staff who
attended a grand rounds sponsored by a pharmaceutical company and
found that they were more likely to indicate that the company’s drug was
the treatment of choice than were their colleagues who had not attended
the session. Interestingly, these same physicians were often not even able to
recall the sponsored grand rounds, so they were not consciously aware that
it had any influence on their decisions.
If conflicts of interest in medicine can indeed be understood as un-
conscious and unintentional, how might that affect how policy makers
approach dealing with them?
IMPLICATIONS FOR POLICIES DEALING WITH
MEDICAL CONFLICTS OF INTEREST
Short of eliminating conflicts of interest altogether, there are several in-
terventions that universities, professional societies, and other policy makers
frequently employ to guard against the inappropriate influence of industry
on medical practice and research. These interventions may be implicitly
predicated on the view that succumbing to conflicts of interest is a con-
scious choice, however, and thus they may have limited or surprising effects
if physicians are subject to unconscious bias. The psychological research
reviewed here suggests that policy makers may wish to be cautious in their
expectations of success for these policies, as they are not tailored to deal
with unconscious bias. Policy makers may also wish to consider some pos-
sible perverse consequences that can result from using these interventions.
Education
Educational initiatives can be thought of as taking two forms: sub-
stantive education in ethics and education aimed specifically at describ-
ing and explaining institutional policies and enforcement and individual
responsibilities.
Perhaps the biggest barrier to the effectiveness of teaching about bias
specifically is the bias blind spot. Certainly, some value exists in teaching
physicians about potential conflicts of interest when they are dealing with
industry. Simply knowing about the potential for bias, however, does not
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6
APPENDIX D
prevent one from being biased. The bias blind spot (Pronin et al., 2002)
research described earlier suggests that simply teaching about biases is
more likely to help physicians recognize bias in other physicians than in
themselves. The blind spot suggests one reason why many physicians deny
that they are personally influenced by gifts from industry, despite evidence
that gifts and interactions do influence decision making (e.g., Orlowski and
Wateska, 1992; Caudill et al., 1996; Wazana, 2000).
Even if people are taught about bias, they are still prone to it. Navigat-
ing relationships with industry and accepting gifts while remaining com-
pletely objective, then, is not a simple imperative that physicians can be
easily trained to follow. Indeed, the research of Loewenstein et al. (1992)
suggests that knowing about bias is not sufficient to prevent it even if one is
determined to be objective. Thus, recommendations for physicians, such as
“If nominal gifts are accepted, make certain that they do not influence your
prescribing or ordering of drugs” (Marco et al., 2006), are not practical.
Perhaps an effective use of education is to help physicians recognize which
relationships lead to bias so that those relationships may be preemptively
avoided.
There is, however, some indication that teaching specifically about the
unconscious aspect of bias could help in one respect (Pronin and Kugler,
2007). That is, limited evidence suggests that such teaching reduces the gap
between perceptions of bias in self and others, and thus, education could
reduce the sharpness of disagreement about whether bias exists.
Education aimed at conveying institutional guidelines about the receipt
of gifts has produced mixed results. On the one hand (Brett et al., 2003;
Agrawal et al., 2004; Schneider et al., 2006), after successfully complet-
ing such educational initiatives, residents can identify practices that are
appropriate and inappropriate consistent with institutional guidelines. On
the other hand, these behaviors, which are mostly of a self-report nature
on a survey, do not suggest much about how residents will behave, and
several authors have raised questions about how long lasting these effects
are (Agrawal et al., 2004; Schneider et al., 2006; Carroll et al., 2007). Fur-
thermore, it seems that there are also some perverse effects from familiar-
izing students with how to interact with industry. Although theirs was not
a study about education as such, Fitz et al. (2007) found that even though
clinical and preclinical students had the same knowledge about industry,
their attitudes about the appropriateness of gifts could still differ, with clini-
cal students far more likely to believe that accepting gifts is appropriate.
Hyman et al. (2007) found that although students generally believed that
they were not educated enough to deal with industry, students who reported
feeling better educated about the pharmaceutical industry were less skepti-
cal about the industry and were more likely to view interactions with the
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6 CONFLICT OF INTEREST
pharmaceutical industry as appropriate. We cannot tell from this sort of
self-reporting what the exact nature of this education was.
When guidelines are voluntary, many physicians interact with industry
without familiarizing themselves with the guidelines. Morgan et al. (2006)
found that although most physicians had contact with the pharmaceutical
industry—as evidenced by the fact that more than 93 percent of them had
received drug samples—less than two-thirds were aware of the guidelines
for interaction with the industry set forth by the college to which the phy-
sician belonged, and only one-third were familiar with the guidelines of
the American Medical Association. Therefore, requiring education on the
content of the guidelines might be a useful point of intervention if many
physicians are unaware of them.
Penalties
Deterring bias through punishment is more likely to be effective if peo-
ple are knowingly influenced by financial considerations. The psychological
research reviewed above, however, suggests that bias due to conflicts of
interest can often arise unconsciously and unintentionally, such that people
cannot overcome bias even when it is in their best interest to do so. One
concern, then, is that aligning self-interest with guidelines through punish-
ment may not be as effective as we would wish.
Perhaps even more difficult, though, is establishing whether a case of
bias exists. Research identifies statistical evidence of bias by analyzing ag-
gregated sample information, ideally against some control sample. That is
much different from establishing that an individual is biased. Law typically
requires that each case be considered individually, but without adequate
comparisons, it cannot be established that a physician’s beliefs and prac-
tices were unduly influenced by nonproscribed relationships with industry,
as opposed to being genuine and objective. The prospect of penalties can,
of course, help deter cases of blatant corruption and may encourage con-
formance to policies requiring disclosure of financial interests. The vast
majority of industry’s influence on physicians, however, is likely of a more
nuanced nature, the result of basically ethical individuals being subtly bi-
ased. There are thus serious barriers to effective penalties.
Disclosure
One common policy response is to require physicians with potential
conflicts of interest to disclose them to those whom they advise. In this
way, patients or those hearing a presentation can consider the potential
for bias, and the physician may perhaps be mindful of this when he or she
enters into relationships with industry. For several reasons, this policy is
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APPENDIX D
problematic, and disclosure may be largely ineffective by itself and in some
instances could have perverse effects.
As an example, consider a physician who advises a patient to pursue
some treatment and discloses a possible financial conflict of interest. How
should the patient rationally discount the physician’s advice in light of the
disclosure? Even if the physician has private incentives, it does not follow
that the advice is not genuine. Furthermore, even if the physician is likely
to be biased, that does not mean that the advice is incorrect. Often it will
be the case that the patient can either take or ignore the physician’s advice,
and the disclosure does little to alleviate uncertainty. In addition, patients
are in often a vulnerable situation with a need to trust their physicians.
Forcing the physician to disclose a possible conflict of interest may also
have perverse effects. For example, now that the disclosure has taken place,
the physician may expect that the patient will be skeptical and respond by
making the message more forceful, a sort of strategic exaggeration (Cain
et al., 2005). If patients metaphorically cover their ears, physicians who
believe that they must get their message across will yell louder. Although the
exaggerated advice may perhaps be discounted, it may still be followed.
Decades of psychological research on anchoring and insufficient adjust-
ment has shown that when judgment begins from even a random anchor
that people know is incorrect, judgment will not be adjusted sufficiently
far from the anchor. For example, experimenters ostensibly spun a wheel
of fortune that actually always landed on 65 or 10 and then asked two
questions (Tversky and Kahneman, 1974): “Is the proportion of African
nations in the United Nations less than or greater than (10/65)?” and
“What is the proportion of African nations in the United Nations?” The
median response when the wheel was spun to 10 was much lower (25)
than the median response when the wheel was spun to 65 (45). Although
the subjects did adjust away from the implausible anchors that they were
given, they were still affected by those anchors, even though they knew that
the values of the anchors were irrelevant. This effect is one of the strongest
in the judgment and decision-making literature. One implication, then, is
that even if advisees know that the advice is exaggerated, they will still be
influenced by it.
An experimental study of the effects of disclosure has found just that
(Cain et al., 2005). Experimental “advisers” were asked to give advice on
the worth of a jar of coins that they could get close to and hold. Their
advisees earned money by accurately guessing the value in the jar, whereas
the advisers earned money by inducing higher guesses from the advisee.
Perversely, when advisers had to disclose these incentives, advisees were
made significantly worse off. This effect was in part due to the fact that the
advisers exaggerated their advice in light of disclosure, whereas the advisees
were unable to sufficiently adjust down from the inflated advice.
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0 CONFLICT OF INTEREST
Limiting Gifts by Size or Use
Policies on gifts often suggest that any gifts accepted by physicians in-
dividually should primarily entail a benefit to patients and should not be of
substantial value. Certainly, small gifts are preferable to large gifts. Because
bias is unintentional and not a matter of corruption, however, small gifts
may still produce results and therefore should not be assumed to be benign.
Katz and colleagues (2003) reviewed and synthesized a sizeable body of
social science literature that suggests that small gifts induce feelings of reci-
procity, get a message across by mere exposure (pens, notepads, etc.), and
can be effective in changing behavior. Even the sheer ubiquity of trinkets
like pens and notepads suggests that this is true. Why else would profit-
minded entities who conduct market research on their practices continue
to supply them if their efforts did not fetch a return?
The ethical distinction of a gift having versus not having a primary
patient benefit, though intuitively appealing, may also be meaningless. The
distinction may reveal a lack of appreciation of the fungibility of money, as
first pointed out in Thaler’s treatise on mental accounting (1980). For ex-
ample, if a physician receives a $100 anatomical model, then he or she does
not have to buy it, and that frees up $100 to buy something else for them-
selves, such as a golf bag or a nice dinner. This situation is consequentially
equivalent to the company giving the physician an inappropriate monetary
gift, even though our intuitions may tell us that the latter is much worse
because we place it in the “extravagance” account rather than the “patient
care” account. The research evidence cannot tell us what is ethical, but the
policy maker should keep in mind that any gift is still a gift, because the
economic value is exchangeable whether it is received in the “extravagance”
account or the “patient care” account.
Even gifts with clear patient benefit—like the ubiquitous drug sample—
have been associated with problems. Physicians and their staff frequently
end up using the samples that are intended for patients (Westfall et al.,
1997), which can also provide a covert means for pharmaceutical repre-
sentatives to supply physicians with free medications for personal or fam-
ily use. Furthermore, there is evidence that physicians with access to drug
samples will end up prescribing more advertised, expensive drugs in the
future (Adair and Holmgren, 2005), so that these gifts can also drive up
health care costs.
Limitations on the size and use of gifts may not be a bad policy in terms
of limiting corruption, but there may still be influence associated with gifts
that are permitted under many current policies.
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APPENDIX D
METHODS AND LIMITATIONS OF THE DATA
A common problem with data from psychology experiments is that
they overly rely on college undergraduates as a sample of convenience. This
problem is perhaps serious in that it raises questions about the generality
of the results. Whereas care should be used in extrapolating the findings
of experiments conducted with populations composed entirely of college
students, there are reasons to take the findings on unconscious bias seri-
ously. First, the phenomenon in question is less likely to suffer from a lack
of generality because it is proposed to be a function of the human brain
and is not dependent much on context or experience. Because the brain
development of college students has mostly been completed, these findings
should hypothetically generalize to older adults. Second, absent a theory
of how physicians differ from other college students, there is no reason to
suspect that they will not be subject to unconscious bias. As support for this
idea, the applicability of the psychological research to other professionals
(auditors) was also drawn into question when findings of unconscious bias
were suggested as a cause for financial malfeasance. Yet, when a study was
done with a sample of actual auditors (Moore et al., 2006), the findings of
bias were much as what would be expected in the laboratory with college
students.
Perhaps more importantly, the types of decisions and incentives studied
in psychological experiments are considerably different in quality from the
treatment decisions made by physicians who have relationships with indus-
try. The intention of this paper is not to overstate the similarity between the
two. That does not mean, however, that the concept of unconscious bias
does not raise valid concerns over how to deal with conflicts of interest.
Indeed, the fact that the findings from research on bias in medicine (and
other professions) mirror the findings from the psychological research on
bias suggests that the concept of unconscious bias is a good tool to be used
to obtain an understanding of conflicts of interest in medicine.
CONCLUSIONS
Psychological research tells us that people are prone to having optimis-
tic biases regarding themselves, including judgments about whether their
own behavior is objective. A large body of literature has shown that these
biases are unconscious and unintentional: people fall prey to them even
when they do not want to or think that they do. Although it may seem to
be intuitively and easily recognized that people are biased in assessing them-
selves, the fact that these biases are often unconscious and unintentional
is not intuitive and is largely underappreciated. The findings of research
on the influence of industry on medical practice corresponds closely to the
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CONFLICT OF INTEREST
findings of psychological research, suggesting that we might view the bias-
ing effect of conflicts of interest in medicine to result from an unconscious
and unintended bias.
Although this view is kind to physicians, in that it allows the biased
individual to be understood as basically being well intended, it is also a
cause for concern, in that research suggests that such unconscious biases
are quite difficult to combat on the large scale. For example, teaching about
egocentric biases does not mitigate them because when we examine our-
selves, we do not experience ourselves as being biased. This distinction is
not merely an academic argument about human nature; several policies that
we expect to combat the effects of conflict of interest may not be effective
if unconscious bias is an important factor, and the effects of these policies
could even be perversely counterproductive. Policy makers may benefit
from recognizing and accommodating a more psychologically nuanced view
of conflicts of interest in their interventions.
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