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Medical Technology Development:
An Introduction to the
Innovation-Evaluation Nexus
ANNETINE C. GELIJNS and SAMUEL O. THIER
The increase in fundamental knowledge concerning human health and the
mechanisms of disease has been so rapid during the second half of this century
that we have often been described as living in a time of biological revolution.
In the spirit of Francis Bacon, who observed that the true essence of progress is
in the application of scientific knowledge for enhancing the human condition,
our society for the past several decades has valued biomedical innovation and
its promise of improving the management of health and disease. Rapid
advances in biomedical research have indeed stimulated the development of
numerous efficacious medical technologies, but their translation into clinical use
has raised complex medical, economic, and social issues. The emergence of
these issues—as illustrated by the development of new aquired immune defi-
ciency syndrome (AIDS) drugs is spurring new interest in medical innovation:
how it occurs, what can be expected of it, and how it might be improved.
Technological innovation in medicine covers the wide range of events by
which a new medical technology is discovered or invented, developed, and dis-
seminated into health care. One of the most vulnerable links in this innovation
chain today is the development phase, the "D" of R&D, in which research find-
ings are brought into clinical practice. More specifically, medical technology
development can be defined as a multi-stage process through which a new bio-
logical or chemical agent, prototype medical device, or clinical procedure is
technically modified and clinically evaluated until it is considered ready for
general use. Although this definition suggests an organized and systematic pro-
cess, much developmental activity actually occurs in a non-orderly fashion in
everyday clinical practice.
1
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ANNETINE C. GELIJNS AND SAMUEL 0. THIER
Among the many factors influencing development, the criteria and methods
of clinical evaluation have become increasingly important determinants of
how and indeed whether new medical technologies are developed. This first
volume of the Institute of Medicine (IOM) Committee on Technological
Innovation in Medicine focuses on the interplay between strategies for clinical
evaluation and the development of new drugs, devices, and clinical procedures.
PUTTING CLINICAL EVALUATION IN CONTEXT
Two major considerations influenced the selection of the theme of this vol-
ume. The first is the emergence of widespread concern over the way in which
new medical technologies are evaluated clinically during the development pro-
cess.1 For example, the development of drugs for life-threatening diseases has
become the subject of extensive reporting in the professional literature and the
daily press, as well as a matter of serious policy debate. A key issue is whether
the pre-marketing evaluative requirements governing drug development are suf-
ficiently flexible or are interpreted flexibly enough in the case of drugs for fatal
diseases such as cancer or AIDS. For example, one might question whether and
when intermediate endpoints, instead of survival, should be evaluated in pre-
approval trials. The Food, Drug, and Cosmetic Act allows considerable latitude
for subjective interpretation of the terms "safety" and "effectiveness" in deter-
mining the acceptable risk-benefit ratio for a marketing approval decision.2 But
because of social and political pressures to reduce the risk to essentially zero,
pre-marketing requirements have become increasingly detailed over time.
Although the resulting system has provided important information on the eff~ca-
cy and safety of new drugs, it has also considerably lengthened the pre-market-
ing development process. Moreover, despite this increase, there are clearly no
"zero-risk" approval decisions. For example, the detection of delayed or rare
(less than 1:10,000) adverse effects would require extremely long periods of
testing or the exposure of many thousands of patients. Furthermore, valuable
therapeutic information on the risks and benefits of a new drug may emerge
only after its diffusion into the often messy environment of general use. For
instance, in the period 1982-1986, six newly approved drugs were withdrawn
shortly after introduction and five others required substantial relabeling, despite
1This concern is also evident regarding the economic evaluation of new technologies
during their development. This issue will be the subject of a subsequent publication, and
thus will not be further discussed in this volume.
2Effectiveness refers to the probability of benefits under average conditions of use,
and efficacy refers to this under ideal conditions of use. Although the law uses the term
effectiveness, the approval decision is made on the basis of efficacy information. This
paper will therefore use the term efficacy in the context of pre-marketing clinical investi-
gations, that is, to refer to testing under ideal conditions of use.
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MEDICAL TECHNOLOGY DEVELOPMENT
3
rigorous pre-marketing evaluation (1~. A classic example of side effects that
may be hard to detect in the carefully controlled setting of pre-approval trials is
the acute hypertension induced by the antidepressant tranylcypromine if the
patient happens to eat a particular kind of cheese. The traditional response to
the realization that taking drugs may be a risky business has been to increase
pre-marketing requirements for clinical evaluation. It is now timely to ask
whether this strategy will remain appropriate or whether a point of diminishing
returns has been reached, and if a shift in emphasis toward obtaining informa-
tion in the post-marketing clinical setting would not be more appropriate.
A different issue is concern about the adequacy of the evidence underlying
development and dissemination of clinical procedures into health care (2~. For
example, extracranial-intracranial vascular bypass surgery for stroke was first
tried in human beings in 1967; the procedure underwent rapid diffusion during
the 1970s, but was only recently reported ineffective in preventing cerebral
ischemia in patients with atherosclerotic disease of the carotid and middle cere-
bral arteries (3~. At a national level, the considerable geographic variations in
the use of certain clinical procedures may largely be explained by insufficient
evidence about their diagnostic, therapeutic, and ultimate health effects (4~. The
consequences of such variations for the quality of medical care and the cost-
effective use of resources hardly need further explanation, and an argument for
more systematic evaluation of clinical procedures has been made repeatedly.
Important questions, however, remain as to what evidence should be collected
and by what methods during the various stages of the development process. For
example, when during the development of a new surgical procedure should a
randomized controlled clinical trial be initiated? What are the strengths and
weaknesses of modern epidemiological methods during the evolution of new
clinical procedures? Given the increasing importance of quality of life as an
endpoint in medical care, how do we obtain a more systematic understanding of
patient preferences about different health outcomes? And which policy and
institutional mechanisms can assure that adequate clinical studies of new proce-
dures are indeed undertaken? These issues, which concern the scientific basis
for decisions during development, need to be addressed urgently.
The second consideration for focusing on the interplay between clinical eval-
uation and technology development concerns the rapid progress occurring in the
art and science of clinical evaluation today. Since its inception in the early
l950s, the randomized controlled clinical trial (RCT) has been accepted as an
extremely powerful tool for assessing the efficacy of new drugs and biologicals.
However, it has also become clear that RCTs are not necessarily practical or
feasible for answering all clinical questions. Therefore, a variety of other meth-
ods, such as non-randomized trials or observational methods, have been adopted
to provide complementary information. Traditionally, these methods were
regarded as weaker than RCTs for clinical evaluation. Recent methodological
advances, such as the use of non-classical statistics and the ability to link large-
scale automated data bases for analysis (e.g., those of health insurance networks
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ANNETINE C. GELIJNS AND SAMUEL 0. THIER
and hospitals), are strengthening these approaches. In addition, methods for
synthesizing the evidence that results both from experimental and observational
studies are being improved. The IOM Committee on Technological Innovation
in Medicine observed that these methods may well provide an opportunity to
address some of the concerns mentioned above. Although these methods are
conceptually appealing, there are important questions as to their strengths and
weaknesses and the quality of the evidence they provide.
In view of these considerations, it seemed timely to publish a volume of
papers analyzing the validity of these modern methods of clinical investigation
and asking if and how their systematic application could improve the technolo-
gy development process. Before addressing some of the points made by the
various authors, a more complete picture is needed of current shortcomings in
the clinical evaluation of new medical technologies. The following section will
explore some of these shortcomings, using the development of specific pharma-
cological, surgical, and medical device technologies for the treatment of stable
angina pectoris as a case example.
ISSUES IN INNOVATION AND EVALUATION:
THE CASE OF STABLE ANGINA PECTORIS
Beta-Blockers
In the late 1950s, Slater and Powell at Eli Lilly serendipitously discovered the
pharmaceutical compound dichloroisoproterenol while developing long-acting
bronchodilators (51. This compound was found to have beta-adrenergic blockade
activity, but also had partial agonist (sympathomimetic) activity; its development
was not pursued. At the same time James Black a 1988 Nobel laureate for
physiology or medicine hypothesized that blocking the beta-adrenergic recep-
tors would diminish the heart's demand for oxygen, providing relief for angina
sufferers. He saw the clinical potential of dichloroisoproterenol, and with his col-
leagues at Imperial Chemical Industries (ICI) started to synthesize its analogues.
The fast of these compounds to be tested in humans, pronethalol, had a beneficial
effect on angina in Phase I trials (6~. In a full-scale clinical trial, however, it
induced such side effects as nausea, vomiting, and light-headedness. When long-
term toxicity tests in animals revealed that it might also be carcinogenic, its devel-
opment was discontinued. Subsequently, propranolol was synthesized and found
to be free of both the agonist activity of dichloroisoproterenol and the side effects
of pronethalol (7~.3 It became the first beta-adrenergic antagonist to be marketed
in the United Kingdom in 1965 (see Figure 1.11.
3Koppe of Boehringer Ingelheim synthesized propanolol shortly before pronethalol
was discovered. However, its clinical potential was not recognized at the time, and no
patent was filed.
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MEDICAL TECHNOLOGY DEVELOPMENT
Cow fHCH2NHCH
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ANNETINE C. GELIJNS AND SAMUEL 0. THIER
1987, for example, the Food and Drug Administration (FDA) had approved only
eight of the many conditions for which beta-blockers are used. Although indus-
trial, governmental, and academic investment in post-marketing pharmaceutical
research is increasing, this area remains relatively underdeveloped.
Coronary Artery Bypass Grafting
The development of surgical techniques for angina pectoris presents quite a
different picture. The evolution of such surgery can be traced to the turn of the
century when cardiac denervation was proposed as a treatment for the crippling
pain associated with the disease (10~. In the decades preceding the first clinical
application of coronary artery bypass grafting (CABG), many new surgical tech-
niques were developed by surgical schools in a variety of countries. Often these
procedures coexisted for years, only to be discarded later because of inadequate
efficacy or unacceptable side effects. As Effler argues, the earliest surgical
development was based on a bad premise: treatment preceded diagnosis (11~. It
is only with the introduction of Mason Sones's arteriography in 1958 that the
success of surgery in terms of graft patency could be validated objectively, and
rational patient selection criteria established. Rene Favaloro at the Cleveland
Clinic is generally credited with the first report on coronary artery bypass
surgery using a saphenous vein graft in 1968 (12~. Following the initial discus-
sion of the new procedure at conferences and in the literature, it underwent rapid
diffusion and further incremental development. Clinical circumstances favored
swift acceptance of the operation: the condition is life-threatening and decreas-
es quality of life, especially for those unresponsive to drug treatment; the opera-
tion made sense anatomically and physiologically; and from the outset it seemed
very effective in the relief of disabling angina (13~. The feeling that the proce-
dure was rational and the fact that the technical aspects of the procedure were
still evolving led to a situation in which randomized studies were not carried
out; the surgical innovators and those who followed them felt it was too early
for an RCT. In the first years there were many publications on graft patency,
mortality, and relief of angina, all on the basis of uncontrolled clinical series.
With increasing surgical experience and incremental improvements in surgical
technique, mortality rates decreased considerably. By 1972-1973, many felt
CABG had become the treatment of choice for patients with severe stable angi-
na, and that it was thus too late to carry out RCTs (131. Although there was no
dispute about the new procedure's efficacy in relieving the pain of angina, doubt
remained about its effect on survival. Three large multicenter RCTs were initi-
ated during the 1970s to analyze the effect on life expectancy: the Veterans
Administration (VA) trial, the European Cooperative Surgery Study, and the
Coronary Artery Surgery Study (CASS) (14-16~. At the end of the 1970s these
trials provided valuable evidence on the safety and efficacy of CABG in specific
MEDICAL TECHNOLOGY DEVELOPMENT
7
patient groups, and follow-up results on long-term safety and efficacy were pub-
lished during the 1980s (17,18~.
Although these trials made an important contribution to our knowledge base,
two major questions emerge from the above pattern of innovation and evalua-
tion. The trials provided their initial information on safety and efficacy 10 years
after the procedure had first been used in clinical practice. During that decade,
clinical decision making had to depend to a large extent on anecdotal evidence.
As Preston remarks when he argues for encouragement of surgical innovation
but questions the process of development itself: "Can the profession afford yet
another cycle of unrecognized experimentation, widespread application without
validation of benefit, immense economic and professional gratification, gradual
disillusionment, and ultimate abandonment in favor of the next 'new' opera-
tion?" (10~. In other words, the question is whether establishing a mechanism
to systematically initiate and coordinate surgical trials on the basis of early clin-
ical experience (analogous to Phase I drug trials) could have expedited the
design and implementation of CABG trials.4
The other question is whether trial results carried out a decade ago can still
be considered valid today. During these years, the indications for CABG have
widened to include unstable angina, myocardial infarction, and minimal angina
pectoris. Hlatky et al., for example, compared the patient population in the car-
diovascular disease data base at Duke University with the patients enrolled in
the above-mentioned RCTs (19~. They found that only 13 percent met the crite-
ria for the VA trial, 8 percent met the eligibility criteria for the European study,
and 4 percent met those for the CASS. In addition to such changes in patient
indications, surgical techniques have also undergone further development. For
example, internal mammary arteries have recently been found to have a much
higher long-term patency rate than saphenous vein grafts (201. In the three
RCTs, however, internal mammary arteries were used in only a very small num-
ber of cases. These examples illustrate the need for long-term surveillance of
new procedures as they evolve in everyday clinical practice.
PTCA Catheter Equipment
In 1977, Andreas Gruentzig at the University of Zurich performed the first
clinical percutaneous transluminal coronary angioplasty (PTCA) procedure as
an alternative to coronary artery bypass surgery (21~. With the firm Schneider-
4Por example, although the use of CABG in humans was first reported in 1968, the
VA trial in 1972 originally set out to evaluate the much earlier developed Vineberg pro-
cedure. Only after some time did it shift its resources to CABG. If there had been a
mechanism to monitor surgical development, this delay could perhaps have been pre-
vented.
.,
8
ANNETINE C. GELIJNS AND SAMUEL 0. THIER
Medintag, he developed a flexible double-lumen dilation catheter with a balloon
that could be inflated to compress the deposits that block an artery. In 1979,
Gruentzig reported on his first 50 patients in The New England Journal of
Medicine and concluded that his results were "preliminary." More information
and follow-up data are needed before coronary angioplasty can be accepted as
one form of treatment for coronary-artery disease. However, the results in
patients with single-vessel disease are sufficiently good to make the procedure
acceptable for prospective randomized trials. Such trials are clearly needed if
we are to evaluate the efficacy of this new technique as compared with current
medical and surgical techniques" (22~. Among cardiologists, however, there
was a strong feeling that comparative trials of PTCA and medical or surgical
therapy should be delayed until the technology had evolved and the learning
curves were established. Thus, the National Heart, Lung, and Blood Institute
established an international voluntary registry in 1979 to monitor the safety and
effectiveness of PTCA.
Under the newly established medical device amendments to the Food, Drug,
and Cosmetics Law, the first balloon dilation catheter was approved for market-
ing in the United States by the FDA in 1980 (23~. To date, nine dilation catheter
systems have undergone full pre-marketing safety and efficacy review by the
FDA. All were approved not on the basis of RCTs, but on the basis of compar-
ing the results of clinical series with those of other marketed PTCA devices or
registry data. Because the PTCA market is very competitive, new modifications
emerge almost every month and any product can be outdated within 6 to 12
months (24~. These incremental improvements do not require full FDA review
but are approved under so-called supplemental pre-marketing approval deci-
sions. In addition to rapid technological change, patient selection criteria are
also changing considerably. PTCA was initially used predominantly in discrete
noncalcified single-vessel lesions, but it is now being applied in disease affect-
ing multiple vessels and where there are multiple lesions in the same vessel, as
well as in unstable angina and acute infarction. The National Institutes of
Health (NIH) registry data have been extremely valuable in monitoring these
changes in technology and application, as well as their effects on effectiveness
and safety. Despite these data, however, there is still no conclusive evidence on
the comparative efficacy and safety of PTCA versus medical treatment in single
vessel disease, and of PTCA versus CABG in multivessel disease. Randomized
controlled clinical trials are clearly overdue. In 1987, the NIH and the VA
decided to support three such clinical trials; their results, however, are not
expected until the early l990s to mid-199Os.
MEDICAL TECHNOLOGY DEVELOPMENT
9
Evaluative Shortcomings in Technology Development
The example of stable angina pectoris refutes a popular belief, which holds
technology development to be a linear progression from bench to bedside.
Surgical innovation often occurs in a decentralized environment with numerous
surgical schools trying to find a solution to a particular problem in day-to-day
practice. Drugs and devices are also subject to further development in clinical
practice. New indications can be revealed in practice, as illustrated by the off-
label use of beta-blockers. Also, early clinical experience with a new product
may provide impetus to the development of improved products. For example,
due to such feedback PICA catheters have been miniaturized, made more flexi-
ble, and given improved angiographic visibility. A more realistic picture of
technology development, in which development and diffusion are highly inter-
active and partially overlap, is the basis for discussing shortcomings in today's
strategies for clinical evaluation.
The often inadequate conceptualization in health sciences policy of innova-
tion as linear and sequential has contributed to a system of clinical investigation
with major emphasis on providing safety and efficacy information prior to a
technology's diffusion. However, as the angina pectoris case illustrates, certain
information on the risks and benefits of a technology may emerge only after its
diffusion into general use. Furthermore, much developmental activity occurs
not before but during everyday practice; consider, for instance, changes in sur-
gical technique or in patient indications. Evaluative strategies, however, have
rarely attempted to provide information on the effectiveness and long-term
safety of technologies as they evolve in normal, uncontrolled, daily medical
life.
In addition, the angina pectoris example reveals a remarkable asymmetry in
the existing strategies for providing safety and efficacy information: drugs
undergo rigorous clinical testing before their introduction into general use, clin-
ical procedures are still assessed mainly in an ad hoc fashion, and evaluations
of new medical devices are somewhere in between. For example, a randomized
trial was initiated a few weeks after the initial testing of a beta-blocker in
humans, but it took five years before the first RCT was initiated for CABG.
From a historical perspective, differences in the nature of innovation among
drugs, devices, and procedures have contributed to different types of regulatory
approaches, which in turn have contributed to this imbalance in safety and eff~-
cacy information (see Appendix A). Clinical and other health care decisions,
however, require comparable information first on the safety and efficacy of a
new technology, and then on its effectiveness. Moreover, because the manage-
ment of clinical conditions such as stable angina increasingly requires choices
among alternative diagnostic and therapeutic options, information is also need-
ed on the relative effectiveness and safety of all the various technological alter-
natives. There are few assessments that provide this kind of information, and
10
ANNETINE C. GELIJNS AND SAMUEL 0. THIER
these shortcomings in evaluative strategies have been detrimental to a rational
and efficient transfer of biomedical research findings into clinical practice.
IMPROVING THE INNOVATION-EVALUATION NEXUS
A major premise of this volume is that we need a more balanced assessment
strategy that depends on an adequate model of the development phase within
the innovation continuum. The papers in this volume deal with the design and
implementation of such a strategy, and address three major issues: (1) What
kinds of clinical evidence or endpoints should be evaluated during what stage
of the development process? (2) What is the role of observational methods rela-
tive to experimental methods (including RCTs) in providing this evidence, and
what is the role of methods for synthesizing primary clinical data? (3) What
policy mechanisms would ensure that adequate clinical evidence is a major
decision-making factor during the development phase of the innovation pro-
cess?
The Selection of Endpoints in Evaluative Research
A spectrum of relevant endpoints, ranging from physiological or anatomical
parameters to mortality, morbidity, health status, functional status, and quality
of life, can be evaluated during the development process. The notion of what
constitutes valid endpoints is in continual flux. Because many therapeutic
agents for today's chronic degenerative diseases treat only symptoms, improve-
ments in functional status, health status, and quality of life are increasingly
important endpoints in clinical evaluation. However, Marilyn Bergner in this
volume asserts that the inclusion of health status or quality of life considera-
tions in clinical trials is often an afterthought. She argues for a broader
approach, especially regarding quality of life, and the inclusion of measures
that are reliable and well-validated in clinical trials.
Kenneth Melmon contends that the different participants in the development
process—those in industry, regulatory agencies, and clinical research and prac-
tice—require different kinds of evidence as a basis for their decision making.
This is well illustrated, for example, by the differences in information needed
for regulatory decisions as distinct from clinical decisions. The marketing
approval decision requires evidence of a new technology's safety and efficacy,
but post-marketing regulatory decisions require evidence on its long-term safe-
ty in everyday clinical practice. Clinical decisions, however, also require infor-
mation on effectiveness, and if various technological alternatives are involved
in the management of a clinical condition, on relative effectiveness.
Furthermore, insight is needed into patient preferences for the health benefits
and risks associated with these options.
MEDICAL TECHNOLOGY DEVELOPMENT
11
In the context of regulatory approval decisions, considerable uncertainty
exists over the role of intermediate endpoints as surrogates for such clinical
endpoints as mortality, morbidity, disability, and quality of life. In some cases
the FDA has accepted intermediate endpoints, such as lowered blood pressure
with the use of anti-hypertensives. But the value of surrogate endpoints is in
dispute for matters such as tissue plasminogen activator, erythropoietin, and
cancer chemotherapy. As John Bunker illustrates, the acceptability of these
endpoints is affected by such factors as the lethality of the disease, the avail-
ability of alternative technologies, the length of time before clinical results will
be known, and the strength of the relationship between intermediate endpoints
and the patient outcomes of disease treatment. In those cases where intermedi-
ate endpoints are appropriate, regulatory acceptance can be increased by sys-
tematic follow-up of clinical endpoints in the post-marketing setting.
Several authors in this volume emphasize the need to improve monitoring of
outcomes in "real world" clinical practice. Chapter 2 underlines the need to
include all-cause outcomes, in addition to disease-specific outcomes, in these
studies. For example, some have questioned whether the decrease in cardiac
mortality associated with lowering blood cholesterol may be offset by an
increase in cancer mortality. To date, the concept of offsetting risks and bene-
fits in innovation remains weak and often is not taken sufficiently into account.
The Selection of Methods for Clinical Investigation
A variety of experimental and observational methods can provide the needed
evidence. As mentioned, the RCT is generally regarded as the statistically most
powerful method for determining pharmaceutical efficacy in pre-marketing
evaluations. During the development of devices and clinical procedures, some
real conceptual, practical, and ethical difficulties may exist regarding the use of
RCTs, and efficacy evaluation will need to depend on other adequately con-
trolled study designs. John Wennberg, for example, argues that randomization
may be unethical when alternative treatment modalities are being developed to
increase quality of life, if different interventions are associated with very vari-
able risks and benefits. In this situation, assignment according to patient pref-
erences may be an ethically unavoidable imperative. The value of patient pref-
erence trials depends on our ability to distinguish therapeutic effects from
effects of preference, placebo, and compliance. Today this understanding is not
available, but an innovative research proposal to start disentangling these
effects is described in Chapter 4.
Following randomized or otherwise well-controlled safety and efficacy tri-
als, long-term surveillance should be undertaken of the safety and effectiveness
of new technologies in actual use. The emphasis in this volume is on the
strengths and weaknesses of observational methods, and their role in providing
such information. With regard to drugs, William Inman discusses the United
12
ANNETINE C. GELIJNS AND SAMUEL 0. THIER
Kingdom's Prescription-Event Monitoring System. Using prescription-based
cohorts as a starting point, this system actively solicits responses from physi-
cians about patient events (which are very different from suspected adverse
effects). In essence, this system links pharmacy records with medical record
data bases. Similarly, the FDA, industry, and academia are increasingly invest-
ing in the use of Medicaid and other medical record linkage data bases for
pharmaco-epidemiological research. Given the increased availability of large-
scale automated data bases, the possibilities of inexpensive monitoring of health
outcomes are appealing. Leslie and Noralou Roos, Fisher, and Bubolz describe
the strengths and weaknesses of health insurance data bases, and discuss how
combining administrative and clinical data bases could compensate for some
weaknesses. The discussion of the benign prostatic hyperplasia assessment,
which compares different surgical techniques and watchful waiting, exemplifies
the complementary role of observational methods and experimental methods
during the development process.
In addition to methods for primary data analysis, this volume discusses meth-
ods for synthesizing existing data and the opportunity they may provide for
improving regulatory, industrial, and clinical decision making. If we are to
improve clinical decision making, decision analysis is an important tool. As
Albert Mulley explains, its value is in the synthesis of the results of both experi-
mental and observational studies, and the distinction it makes between matters
of fact—as provided by evaluative research and value judgments inherent in
the use of a technology (for instance, variability in patients' preferences). As
such, decision analysis defines uncertainties and demonstrates specific needs for
further clinical investigation. Meta-analysis is becoming an important new tool
for improving the aggregation of experimental and observational information
for decision making purposes, including regulatory decisions. In this respect
one will read with interest Stephen Thacker's discussion of meta-analysis tech-
niques based on classical statistics, and David Eddy's discussion of Bayesian
statistics. Eddy reviews the existing spectrum of methods, ranging from anec-
dotal evidence to large-scale RCTs, that can provide clinical evidence during the
development process. He asserts that all these methods provide information on
the magnitude of risks and benefits, and on the extent of uncertainty in these
estimates. The logistics, costs, and time needed for the various study designs
differ considerably. In addition, each of these methods is subject to different
types of bias that affect its internal and external validity. Because of the com-
plexity of choosing acceptable methods for particular kinds of decisions, deci-
sion makers generally apply simple heuristics to determine if a particular study
design is acceptable or not. However, these heuristics often do not take into
account that different study designs may provide complementary evidence.
Furthermore, in view of widespread use of the weaker methods of evaluation
and recognizing that decision making often depends on less than perfect infor-
mation, efforts to improve these methods can be expected to have a substantial
impact on enhancing the transfer of biomedical research findings into practice.
MEDICAL TECHNOLOGY DEVELOPMENT
13
Eddy describes a methodological approach that identifies the biases inherent in
particular studies, estimates their magnitude, and adjusts the results for these
biases. Implementation of this approach would enhance the reliability of vari-
ous evaluative methods that form the basis of developmental decision making.
Policy Mechanisms for Improving Developmental Decision Making
In the aggregate, this volume reflects on the evaluative shortcomings in the
present-day development of drugs, devices, and clinical procedures and argues
for a more balanced assessment strategy that provides comparable information
on the relevant outcomes for all technologies. Recent advances in the art and
science of clinical evaluation open up new opportunities for providing this evi-
dence. The major question now remains how to ensure their appropriate appli-
cation without unduly hampering innovation.
What incentives would encourage increased support of post-marketing
research for drugs and devices? This research could provide information on
their effectiveness and long-term safety for approved indications, as well as a
means for monitoring the emergence of new indications of use. In our opinion,
such a change can be effected without modification of the Food, Drug, and
Cosmetics Act. Powerful demand and supply factors are stimulating investment
in this kind of evaluative research. In today's health care environment, for
example, there is an increasing demand for relative effectiveness and long-term
safety information by health care professionals and third-party payers, and a
growing recognition—from an economic point of view of the marketing
advantages that may accrue if such benefits can be demonstrated. On the sup-
ply side, rapid advances in methods for clinical investigation are allowing this
information to be provided more reliably and efficiently. This is important in
the case of drugs, because the effective patent life for new drugs has decreased
considerably over time and the industry is not likely to invest in post-marketing
research that provides outcomes information only after the drug has turned
generic. The industrial incentive to invest in systematic Phase IV outcomes
research would, of course, increase if such investment meant that the time spent
in pre-approval evaluations could be shortened.
With regard to procedures, a systematic approach toward providing both
"pre-marketing" and "post-marketing" information is needed. We do not wish
to imply that the establishment of a federal regulatory system governing the
development of procedures is needed or probably would even be effective, espe-
cially in view of the decentralized and incremental nature of development. One
appealing non-regulatory model for improvement of the innovation-evaluation
nexus can be found in the outcomes initiative. It tends to focus on clinical con-
ditions instead of individual technologies, and it provides comparative assess-
ment information on the various technological alternatives. It also includes a
diverse spectrum of endpoints, and employs both experimental and observation-
al methods. This initiative would provide a means for early identification of the
14
ANNETINE C. GELIJNS AND SAMUEL 0. THIER
(incremental) development of procedures in a decentralized environment. On
the basis of such information, clinical teals could then be initiated as appropr~-
ate. The systematic use of observational methods for monitoring actual perfor-
mance of new procedures in clinical practice would also allow earlier detection
of their long-term safety and effectiveness in everyday use. Moreover, as the
focus is on the management of clinical conditions, this initiative will at the same
time monitor the long-term effectiveness and safety of the drugs or devices
involved.
Federal support for this kind of evaluative research has recently increased.
For example, support of outcomes research is a critical part of the congressional
mandate to the newly established Agency for Health Care Policy and Research.
Drug and device manufacturers can also be expected to take interest in helping
fund this initiative as a way of providing relative safety and effectiveness infor-
mation on their new products. However, if the stronger financial sectors of our
health care system (the drug industry, for instance, invests roughly $6.5 billion
in R&D in the United States) were to share the financial burden of performing
evaluations of clinical procedures, their involvement could pose conflicts of
interest. It therefore seems timely to explore acceptable models of pr~vate-
public cooperation in funding this kind of clinical investigation.
In conclusion, a more rational and efficient development stage in the innova-
tion process will require stronger and new kinds of alliances in evaluative
research among the venous participants: those who develop new technologies;
those who improve and apply the science and tools of evaluation; and those who
use the resulting information for regulatory approval, reimbursement, or clinical
decisions. It will also require a willingness to explore and debate the often
complementary value of various evaluative methods for improving develop-
mental decision making. We hope this volume, the first in a series on issues in
medical innovation, will contribute to such a debate.
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