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Evidence-based Medicine & Outcomes Research Task
Force
WHERE DOES OUTCOMES RESEARCH FIT INTO EVIDENCE-BASED
HEALTH CARE DECISION-MAKING?
THE ISSUE:
Evidence based medicine (EBM) activities in operation today do
not necessarily take into account outcomes research relevant to
the questions they are trying to answer. In some cases, e.g. the
Oregon Drug Effectiveness Review Project (DERP), the entire EBM
process consists of a systematic review of RCT data of drugs
within class. In other cases, e.g. the AMCP Format, a much
broader concept of evidence is used, including virtually all
aspects of HEOR. To the extent that outcomes research is not
included in evidence-based decision making, it calls into
question the usefulness and viability of the field of outcomes
research.
EBM is becoming a national issue within Medicaid, CMS and
consumer organizations, including Consumers Union and AARP. The
OHSU DERP initiative is sweeping the country and defining EBM as
solely a review of RCTs to the exclusion of outcomes research.
This should be considered a threat to ISPOR’s mission
ISSUE DESCRIPTION:
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The idea that health care decisions should be based on best
evidence is unassailably wise and not controversial. One
prominent example of formalizing the process for synthesizing
clinical evidence for use in health care decision-making1 is the
Cochrane Collaboration, an international non-profit and
independent organization that produces and disseminates
systematic reviews of healthcare interventions and promotes the
search for evidence in the form of clinical trials and other
studies of interventions.2
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Ideally, such systematic review results in a much better
assessment of the collective findings of the most rigorous
clinical literature, providing a higher level of confidence that
this literature is interpreted correctly. Although the
systematic review process has been well-accepted (at least
within academic settings) as methodologically sound and useful
for guiding clinical policy, there is less evidence that it has
been incorporated into physician-patient decision-making,3
its
initial raison d’etre.
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Recently, there has been a movement in the U.S. and elsewhere
to incorporate a systematic review process into health care
decision-making in a broader fashion, for instance for national
or state Medicaid authorities or managed care P&T committees to
make decisions as to which medical products and/or services are
to be covered or reimbursed for whole populations. This movement
has given rise to the terms “evidence-based medicine” (EBM) and
“evidence-based decision-making” as practiced, for example, by
the state of Oregon Health Plan and the Oregon Health & Science
University’s Evidence-Based Practice Center (EPC) in developing
a preferred drug list (PDL).
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When EBM is the basis for population decision-making, it
necessarily loses focus on health consequences related to
individual patients, to patient-specific idiosyncrasies and
patient preferences. These weaknesses are particularly germane
and are (or should be) of concern to the outcomes research
community, patients and their families, practitioners and many
others who value fully-informed decision-making because they
address the core of what outcomes research is intended to bring
to patient welfare.
ISSUE ANALYSIS:
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Defining evidence requires focus on measurement of health
outcomes. A narrow interpretation of EBM results in use of only
“statistically significant” (e.g., p<0.05) findings derived from
randomized clinical trials. This ignores an enormous amount of
scientific evidence from broader but still scientifically
rigorous outcomes research.
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For instance, in addition to best efficacy evidence, outcomes
researchers are interested in such health and economic outcomes
as: 1) average effectiveness (as opposed to efficacy) of
treatments due to, for instance, community practice patterns and
patient adherence; 2) individual preferences, symptom control
and impact on health-related quality of life, for instance due
to the effectiveness or side-effect characteristics of a drug,
or a more convenient regime; 3) estimated long-term outcomes
for, say, chronic medications, which commonly extend months or
years beyond clinical trial data; 4) cost-effectiveness
information to help decision-makers determine best value for
money; and 5) budget impact analysis to help decision-makers
evaluate whether they can afford the addition of a new
technology.
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Many groups in the US and Europe already include broader
health outcomes in their evaluation of health care evidence,
including, the Centers for Disease Control and Prevention (CDC),
the Agency for Health Research and Quality (AHRQ), the Centers
for Medicare and Medicaid, researcher organizations such as the
Society for Medical Decision-Making (SMDM), the International
Society of Pharmacoeconomics and Outcomes Research (ISPOR) and
Academy Health. The Academy of Managed Care Pharmacy (AMCP) has
expressly come out with the Format for Formulary Submissions4,
which calls on its managed care pharmacy constituents to include
a broad array of clinical, economic and outcomes evidence into
account for formulary decision-making. These efforts and
positions are mirrored around the westernized world by
organizations such as the U.K.’s National Institute for Clinical
Excellence (NICE), the Canadian Coordinating Office of
Technology Assessment (CCOHTA), Australian’s Pharmacy Benefit
Advisory Committee (PBAC), and numerous international medical
technology assessment organizations including International
Network of Agencies for Health Technology Assessment (INAHTA)
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As practiced by EBM purists, the only evidence that will be
considered is that which is derived from randomized clinical
trials (RCT) and meets the traditional
“statistically-significant” (i.e. 0.05 cutoff) level as derived
from a classical statistical analytical approach (the exception,
at least in the Oregon case, seems to be safety information,
which is accepted from non-randomized studies). Otherwise
suggestive evidence derived from less traditional approaches,
including Bayesian analyses of data, decision modeling and
analyses from database studies are not considered at all.
RECOMMENDED ISPOR ACTIONS:
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Recruit a senior advisory panel to consist of both
traditional clinical EBM experts (e.g. Cochrane participants)
and HEOR researchers to recommend the objective to be achieved,
to help define the problem and approach and to oversee the work
plan and work products
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Review, describe and report on existing EBM applications by
key organizations in US and the rest of the westernized world
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Review and report on the EBM methods literature including how
various parties define the of the words “evidence-based
medicine”, “best evidence”, “systematic review” with the
intention of defining these words for different contexts.
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Develop a consensus for the definitions of words and phrases
above
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Review and report on methods for combining disparate sets of
evidence that include RCT evidence and outcomes evidence
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Convene a 2 day workshop of key opinion leaders who have
different concepts of the EBM application and charge the group
with engaging the issues and developing a consensus concerning
the role that HEOR (including observational data, modeling,
patient-reported outcomes, including patient preference) should
play in different applications of EBM and the methodological and
reporting solutions.
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Finalize white paper for circulation, comment and publication
REFERENCES
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“Effectiveness and efficiency: random reflections on health
services” Archie Cochrane
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Cochrane Collaboration,
www.cochrane.org
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”What kind of evidence is it that Evidence-Based Medicine
advocates want health care providers and consumers to pay
attention to?” R.B. Haynes, BMC Health Servc. Res. 2 (1) (2002)
3.
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Format for Formulary Submissions, Version 2.0., October 2002
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