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Commentary |

How the US Drug Safety System Should Be Changed

Brian L. Strom, MD, MPH
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Author Affiliation: Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia.

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JAMA. 2006;295(17):2072-2075. doi:10.1001/jama.295.17.2072
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If the whole materia medica, as now used, could be sunk to the bottom of the sea, it would be all the better for mankind, and all the worse for the fishes.—Oliver Wendell Holmes, Sr1

Reading a recent newspaper might remind one of the above quote. One of the questions the nation is currently confronted with is what should be done to address the safety of drugs. In this Commentary, the current system of drug safety monitoring will be described and the limitations of the current system will be highlighted. A potential solution will then be proposed that will require legislation to implement.

The current system of drug safety monitoring includes preclinical testing followed by 3 phases of clinical studies (Figure). Drug approval is sometimes followed by postmarketing studies. Usually, only 500 to 3000 patients are studied before marketing. Therefore, by definition, adverse events that occur in 1 of 100 patients will be reliably detected, but adverse reactions that occur in 1 in 1000 patients or less commonly may not be detected, even if these reactions are very severe.2

Figure. Alternative Models for Studying Drug Safety
Grahic Jump Location

Top row, historical approach; middle row, where the current system is evolving toward now; and bottom row, proposed approach. Phase 1 indicates dose escalation, usually in healthy study participants; phase 2, dose ranging (usually first time in patients); phase 3, pivotal trials for registration; phase 4, postmarketing (not always required).

The most commonly used systems for postmarketing safety assessment are spontaneous case reports of adverse reactions, computerized claims or medical record databases, and data collected specifically for the study. The system of collecting spontaneous case reports of adverse reactions is essentially a system developed in the 1950s, although it has since been computerized. This system consists of a collection of case reports of adverse reactions recognized by clinicians, most of which are submitted via the pharmaceutical manufacturer. However, the old adage that the plural of anecdotes is not data holds true. These assessments remain a loose collection of case reports, subject to enormous underreporting, as well as underascertainment or overascertainment, and thereby are greatly susceptible to artifacts. This system cannot be used to test hypotheses but simply to generate them.3

Newer approaches for data collection for postmarketing pharmacoepidemiology studies include computerized claims or medical record systems.4 6 First used in the late 1970s and early 1980s, these systems have been used commonly in recent years to test hypotheses and have become the state of the art in pharmacoepidemiology. Pharmacoepidemiology studies also can be conducted with data collected specifically for the study, either with ad hoc data collection for nonexperimental studies or postmarketing randomized clinical trials.

In recent years, there has been increasing use of “risk management” to optimize the use of newly approved drugs,7 improving the risk-benefit balance of drugs that otherwise might be marginal. In these situations, the US Food and Drug Administration (FDA) asks the manufacturer to intervene to channel the use of the drug. The severity of the intervention can be very variable. Perhaps the earliest example is isotretinoin, which has had increasingly stringent restrictions applied to prevent use in pregnancy.8 More recent examples include thalidomide and alosetron.7 The efficacy of most of these interventions remains to be established.

It is well recognized that adverse drug events are the most common iatrogenic causes of patient injury.9 It is also well recognized that most adverse reactions are the result of an exaggerated but otherwise usual pharmacologic effect of the drug.10 Yet, historically, these reactions have been ignored in pharmacoepidemiology, as they do not represent the focus of commercial and regulatory concerns. Indeed, pharmacoepidemiology has focused its efforts on rare adverse effects from newly marketed drugs instead of the common adverse effects from older drugs that are often used incorrectly. In an attempt to address this, the Agency for Healthcare Research and Quality has funded the development of 7 (soon to be 11) Centers for Education and Research in Therapeutics (CERTs); the charge of these centers includes improvement of how drugs are used.11 The CERTs program had a total annual budget of $5.9 million, temporarily increased by $1 million in fiscal year 2006. It is useful to place this funding in perspective. For example, the $70 billion expended on drugs as part of Medicare Part D will dramatically dwarf the $5.9 million spent on ensuring that they are used correctly, as will the amount spent by the pharmaceutical industry on research and development (>$30 billion12 ) and even promotion (>$15 billion13 ).

In the current drug development and monitoring system, carefully selected individuals who participate in premarketing studies may not reflect real-life patients in whom the drugs will be used. In fact, study participants may receive better care than “real-life” patients. Furthermore, premarketing studies are necessarily limited in duration. In addition, there is usually no information on the comparative effectiveness of the products. This inevitably yields many questions to be answered after marketing.

The current system also produces very high development costs, which in turn lead to a great need for immediate huge sales; ie, seeking “blockbuster drugs” and the aggressive marketing practices associated with such a pursuit. Yet, as noted above, less common adverse reactions will remain unknown at the time of early exposures to these drugs.

As a result, 51% of drugs have label changes because of major safety issues discovered after marketing14 ; 20% of drugs get new black box warnings after marketing15 ; and 3% to 4% of drugs are ultimately withdrawn for safety reasons.16 Of note, these are major adverse effects that were missed in premarketing studies and then later detected. Yet, when such safety problems have an incidence of less than 1 in 1000, they do not reflect a failure of the premarketing testing system, but are predictable. Indeed, previously unknown serious but rare adverse events from drugs continue to be identified long after they are marketed (eg, aspirin and Reye syndrome17 ).

Another characteristic of the current system is the absence of an incentive for the sponsor to complete promised postmarketing safety studies. Such studies can be expensive and, once completed, can either bring bad news to the sponsor or no new findings, and they are very unlikely to result in a change in drug labeling that will help increase sales. Furthermore, the FDA does not have the power to require such studies, so it cannot punish companies that do not complete them.

Furthermore, direct-to-consumer advertising leads to overuse of the drug by patients for whom use of the drug is not compelling.18 With such advertising, the sponsor is seeking to increase use by patients who were not prescribed the drug by their physician on their own. Presumably, these patients may not need the drug as critically. Yet when these drugs are used early after marketing, data on drug safety remain incomplete.

The net effect is that the public misunderstands drug safety, believing that a drug is safe at the time of marketing, while events occurring as frequently as 1 in 1000 are predictably undetected. As a result, when there is a postmarketing discovery of a previously undetected adverse effect, the public's misperception is that someone did something wrong. This has also led to increasing concern about the safety of marketed drugs, and overreaction to this is leading to increasing premarketing requirements that delay access to drugs and result in some drugs being dropped from development.

A proposed alternative approach includes 3 elements: conditional approval, an empowered FDA, and a complementary nongovernmental organization or organizations.

When a drug is initially approved, it should ideally enter a period of conditional approval. During this time, marketing (especially direct-to-consumer marketing) would be restricted. Drug labels would offer a clear caveat; eg, “Drug approval is conditional—this drug has only been studied in limited numbers of patients.” This condition would be removed only when (1) the number of exposed individuals included in the studies of the drug increases from 3000 to 30 000 or even 300 000, to detect progressively rarer adverse effects, with this judgment made on a case-by-case basis, based on the expected use of the drug, potential risk of the drug, and comparative novelty of the drug; and (2) all answerable premarketing safety questions that have been raised based on the premarketing clinical trial experience have been addressed.

There are several pharmacoepidemiology approaches by which such information could be gathered, including registered release systems, monitored release systems, studies using existing databases of claims or medical records, population-based ad hoc case-control studies, large simple randomized trials, or, undoubtedly, other methods yet to be developed. Most if not all of this work would be expected to be performed by the drug's sponsor or by contractors supported by the sponsor. Any data collected from experiences with the drug in other countries should be included as well. In the Figure, the existing model for drug approval is in the top row. Unfortunately, the current system is moving toward the second row of the Figure, with a delay of drug approval, still followed by optional postmarketing studies. Instead, the proposed approach is shown in the third row, with conditional approval followed by postmarketing studies required before the condition is removed.

The second component of the proposal is an empowered FDA. The FDA needs an increased ability to regulate drugs after marketing so that it can, for example, require postmarketing studies and labeling changes, rather than these studies and labeling changes being subject to negotiation. The FDA also needs markedly increased resources to conduct and fund more postmarketing safety studies.

The third part of the proposal is the complementary, nongovernmental organization or organizations. An independent organization is needed for nonregulatory tasks that are not now, nor should be, the mission of the FDA. Included among other possibilities are attempts to change prescribers' use of drugs, including old drugs, performing postmortem examinations in the event of drug “disasters,” developing new pharmacoepidemiology methods, training new scientists, and other such nonregulatory tasks. This body probably should be a nongovernmental organization, since many of these tasks are academic in nature. This is a possible role for the CERTs, the Institute of Medicine, or other existing or future organizations.

A key benefit of this approach for the public would be that drug use immediately after marketing would be reduced to those who truly need the drug, in whom the risk-benefit balance in the face of uncertainty is more favorable. In addition, the sponsor would have an incentive to gather safety information quickly, instead of delaying such an effort. The net benefit for the sponsor would be the ability to obtain revenue during prolonged large safety studies; the public would recognize that an adverse reaction is not a failure of the system; and possible protection for the sponsor would be conferred against liability from early safety problems because of disclosure of such a possibility.

A previous multidisciplinary commission led by academics and funded by industry concluded the following:

1. A systematic and comprehensive system of post-marketing drug surveillance should be developed in the United States.

2. . . . should be able to detect important adverse drug reactions that occur more frequently than once per thousand uses of a drug . . . 

3. An integral function of the postmarketing surveillance system should be to report the uses and effects of new and old prescription drugs.

4. . . . FDA should continue to strengthen its program in this area.

5. A private, non-profit Center for Drug Surveillance (CDS) should be established to further the development of a postmarketing surveillance system in the United States. . . . 19

This was the Joint Commission on Prescription Drug Use, and the recommendations were made in 1980.19 It is long since time to act on these recommendations.

Corresponding Author: Brian L. Strom, MD, MPH, Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 824 Blockley Hall, 423 Guardian Dr, Philadelphia, PA 19104-6021 (bstrom@cceb.med.upenn.edu).

Financial Disclosures: Dr Strom receives funding from the National Institutes of Health, Agency for Healthcare Research and Quality (including CERT funding, DEcIDE [Developing Evidence to Inform Decisions about Effectiveness] funding, and patient safety funding), has received grants and served as a consultant to most of the major pharmaceutical companies, and is a US Food and Drug Administration (FDA) Special Government Employee for serving on FDA advisory committees. He has served as a consultant to the Joint Commission on Prescription Drug Use, assisting in drafting its report. There was no funding support for the work presented in this article.

Previous Presentation: Presented as an invited talk at the Institute of Medicine Annual Meeting, October 23-24, 2005, Washington, DC.

Holmes OW. Comments and countercurrents in medical science.  Works. 1861;9185
Strom BL. Sample size considerations for pharmacoepidemiology studies. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:29-36
Hennessy S. Disproportionality analyses of spontaneous reports.  Pharmacoepidemiol Drug Saf. 2004;13503-504
PubMed
Strom BL. Overview of automated databases in pharmacoepidemiology. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:219-222
Hennessy S, Carson JL, Ray WA, Strom BL. Medicaid databases. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:281-294
Gelfand JM, Margolis DJ, Dattani H. The UK General Practice Research Database. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:337-346
Kramer JM. Managing the risks of therapeutic products: proceedings of a workshop.  Pharmacoepidemiol Drug Saf. 2005;14619-628
PubMed
Mendelsohn AB, Governale L, Trontell A, Seligman P. Changes in isotretinoin prescribing before and after implementation of the System to Manage Accutane Related Teratogenicity (SMART) risk management program.  Pharmacoepidemiol Drug Saf. 2005;14615-618
PubMed
Leape LL, Brennan TA, Laird N.  et al.  The nature of adverse events in hospitalized patients: results of the Harvard Medical Practice Study II.  N Engl J Med. 1991;324377-384
PubMed
Rawlins MD, Thompson JW. Pathogenesis of adverse drug reactions. In: Davies DM, ed. Textbook of Adverse Drug Reactions. Oxford, England: Oxford University Press; 1977:44
Califf RM. The need for a national infrastructure to improve the rational use of therapeutics.  Pharmacoepidemiol Drug Saf. 2002;11319-327
PubMed
Pharmaceutical Research and Manufacturers of America (PhRMA).  Pharmaceutical Industry Profile 2004. Washington, DC: PhRMA; 2004
Rosenthal MB, Berndt ER, Donohue JM, Frank RG, Epstein AM. Promotion of prescription drugs to consumers.  N Engl J Med. 2002;346498-505
PubMed
US General Accounting Office.  FDA Drug Review: Postapproval Risks 1976-85Washington, DC: US General Accounting Office; April 1990:24. Publication GAO/PEMD-90-15
Lasser KE, Allen PD, Woolhandler SJ, Himmelstein DU, Wolfe SM, Bor DH. Timing of new black box warnings and withdrawals for prescription medications.  JAMA. 2002;2872215-2220
PubMed
Bakke OM, Manocchia M, de Abajo F, Kaitin KI, Lasagna L. Drug safety discontinuations in the United Kingdom, the United States, and Spain from 1974 through 1993: a regulatory perspective.  Clin Pharmacol Ther. 1995;58108-117
PubMed
Halpin TJ, Holtzhauer FJ, Campbell RJ.  et al.  Reye's syndrome and medication use.  JAMA. 1982;248687-691
PubMed
Spence MM, Teleki SS, Cheetham TC, Schweitzer SO, Millares M. Direct-to-consumer advertising of COX-2 inhibitors: effect on appropriateness of prescribing.  Med Care Res Rev. 2005;62544-559
PubMed
Report of the Joint Commission on Prescription Drug Use.  Final Report. Rockville, Md: Joint Commission on Prescription Drug Use; 1980

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Figures

Figure. Alternative Models for Studying Drug Safety
Grahic Jump Location

Top row, historical approach; middle row, where the current system is evolving toward now; and bottom row, proposed approach. Phase 1 indicates dose escalation, usually in healthy study participants; phase 2, dose ranging (usually first time in patients); phase 3, pivotal trials for registration; phase 4, postmarketing (not always required).

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Holmes OW. Comments and countercurrents in medical science.  Works. 1861;9185
Strom BL. Sample size considerations for pharmacoepidemiology studies. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:29-36
Hennessy S. Disproportionality analyses of spontaneous reports.  Pharmacoepidemiol Drug Saf. 2004;13503-504
PubMed
Strom BL. Overview of automated databases in pharmacoepidemiology. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:219-222
Hennessy S, Carson JL, Ray WA, Strom BL. Medicaid databases. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:281-294
Gelfand JM, Margolis DJ, Dattani H. The UK General Practice Research Database. In: Strom BL, ed. Pharmacoepidemiology. 4th ed. Sussex, England: John Wiley & Sons; 2005:337-346
Kramer JM. Managing the risks of therapeutic products: proceedings of a workshop.  Pharmacoepidemiol Drug Saf. 2005;14619-628
PubMed
Mendelsohn AB, Governale L, Trontell A, Seligman P. Changes in isotretinoin prescribing before and after implementation of the System to Manage Accutane Related Teratogenicity (SMART) risk management program.  Pharmacoepidemiol Drug Saf. 2005;14615-618
PubMed
Leape LL, Brennan TA, Laird N.  et al.  The nature of adverse events in hospitalized patients: results of the Harvard Medical Practice Study II.  N Engl J Med. 1991;324377-384
PubMed
Rawlins MD, Thompson JW. Pathogenesis of adverse drug reactions. In: Davies DM, ed. Textbook of Adverse Drug Reactions. Oxford, England: Oxford University Press; 1977:44
Califf RM. The need for a national infrastructure to improve the rational use of therapeutics.  Pharmacoepidemiol Drug Saf. 2002;11319-327
PubMed
Pharmaceutical Research and Manufacturers of America (PhRMA).  Pharmaceutical Industry Profile 2004. Washington, DC: PhRMA; 2004
Rosenthal MB, Berndt ER, Donohue JM, Frank RG, Epstein AM. Promotion of prescription drugs to consumers.  N Engl J Med. 2002;346498-505
PubMed
US General Accounting Office.  FDA Drug Review: Postapproval Risks 1976-85Washington, DC: US General Accounting Office; April 1990:24. Publication GAO/PEMD-90-15
Lasser KE, Allen PD, Woolhandler SJ, Himmelstein DU, Wolfe SM, Bor DH. Timing of new black box warnings and withdrawals for prescription medications.  JAMA. 2002;2872215-2220
PubMed
Bakke OM, Manocchia M, de Abajo F, Kaitin KI, Lasagna L. Drug safety discontinuations in the United Kingdom, the United States, and Spain from 1974 through 1993: a regulatory perspective.  Clin Pharmacol Ther. 1995;58108-117
PubMed
Halpin TJ, Holtzhauer FJ, Campbell RJ.  et al.  Reye's syndrome and medication use.  JAMA. 1982;248687-691
PubMed
Spence MM, Teleki SS, Cheetham TC, Schweitzer SO, Millares M. Direct-to-consumer advertising of COX-2 inhibitors: effect on appropriateness of prescribing.  Med Care Res Rev. 2005;62544-559
PubMed
Report of the Joint Commission on Prescription Drug Use.  Final Report. Rockville, Md: Joint Commission on Prescription Drug Use; 1980
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