throbber
HOW INCREASED COMPETITION FROM
`GENERIC DRUGS HAS AFFECTED PRICES
`AND RETURNS IN THE PHARMACEUTICAL INDUSTRY
`
`JULY 1998
`
`The Congress of the United States
`Congressional Budget Office
`
`Exhibit 1088
`IPR2017-00807
`ARGENTUM
`
`000001
`
`

`

`NOTES
`
`The numbers in the text and tables of this study may not add up to totals because of rounding.
`
`Cover photo ©The Stock Market/Dennis Meyler.
`
`000002
`
`

`

`Preface
`In 1984, the Drug Price Competition and Patent Term Restoration Act (also known as
`
`the Hatch-Waxman Act) created an abbreviated approval process for generic prescrip-
`tion drugs and at the same time extended patent terms for innovator drugs. This
`Congressional Budget Office (CBO) study examines the extent to which competition from
`generic drugs has increased since the act. It also analyzes how that competition has af-
`fected the returns from developing a drug. The analysis was conducted at the request of
`the Chairman of the Senate Committee on the Budget.
`
`Anna Cook of CBO's Natural Resources and Commerce Division wrote the study
`under the supervision of Jan Paul Acton and Elliot Schwartz. The analysis would not have
`been possible without data and information provided by the Food and Drug Administration
`(FDA), the Patent and Trademark Office (PTO), the Health Care Financing Administra-
`tion, and Henry Grabowski of Duke University. A variety of industry experts provided
`information and insights, including Philip Chao and Donald Hare of the FDA, Karin Tyson
`of the PTO, Joel Hamilton of the General Accounting Office, David Reiffen of the Federal
`Trade Commission, Paul Wilson of IMS America, and Gary Persinger of the Pharmaceuti-
`cal Research and Manufacturers of America (now of the National Pharmaceutical Coun-
`cil). Other outside reviewers included the following economics professors: Ernst Berndt
`and Scott Stern of MIT, Fiona Scott Morton of Stanford, David Salkever of Johns
`Hopkins, and F.M. Scherer of Harvard. Within CBO, John Peterson, Linda Bilheimer,
`Judith Wagner, Patrice Gordon, and Anne Cappabianca (now at Hoffman-La Roche) made
`extensive and valuable comments. Aaron Zeisler and Carl Muehlmann provided research
`assistance.
`
`Christian Spoor edited the manuscript, and Melissa Burman proofread it. Angela
`McCollough typed the many drafts. Kathryn Quattrone prepared the study for publication,
`and Laurie Brown prepared the electronic version for CBO's World Wide Web site.
`
`July 1998
`
`June E. O'Neill
`Director
`
`This study and other CBO publications
`are available at CBO's Web site:
`http://www.cbo.gov/
`
`000003
`
`

`

`
`
`000004
`
`000004
`
`

`

`Contents
`
`SUMMARY
`
`ONE
`
`INTRODUCTION
`
`The Basis for Competition Among Drug Companies 2
`Changes Made by the Hatch-Waxman Act 3
`Data Used in This Analysis 4
`
`TWO
`
`THE EFFECT OF MANAGED CARE ON
`THE PHARMACEUTICAL MARKET
`
`The Rise of Managed Care 5
`How PBMs Help Hold Down Drug Expenditures 6
`How Managed Care Affects the Demand
`for Prescription Drugs 10
`Conclusions 11
`
`THREE
`
`PRICING AND COMPETITION IN THE
`PHARMACEUTICAL MARKET
`
`Competition Among Brand-Name Drugs 14
`Factors That Determine Discounts on Brand-
`Name Drugs 23
`Competition Between Brand-Name and
`Generic Drugs 27
`Competition Among Generic Drugs 32
`Conclusions 34
`
`FOUR
`
`THE EFFECTS OF THE HATCH-WAXMAN ACT
`ON THE RETURNS FROM INNOVATION
`
`Changes to the Length of Patents for Brand-
`Name Drugs 38
`Changes to the Approval Process for Generic
`Drugs 43
`Effects on the Returns from Marketing a Drug 45
`Effects of Proposed Changes to the Hatch-
`Waxman Act 49
`Conclusions 50
`
`ix
`
`1
`
`5
`
`13
`
`37
`
`000005
`
`

`

`vi HOW INCREASED COMPETITION FROM GENERIC DRUGS
`
`July 1998
`
`APPENDIXES
`
`A
`
`B
`
`C
`
`D
`
`Data Used for the Empirical Estimates 53
`
`Regression Results on Discounting 59
`
`Assumptions Behind the Calculation of Returns
`from Marketing a New Drug 65
`
`The Replacement Effect 73
`
`000006
`
`

`

`CONTENTS
`
`TABLES
`
`1.
`
`2.
`
`3.
`
`4.
`
`5.
`
`6.
`
`7.
`
`8.
`
`9.
`
`10.
`
`A-1.
`
`B-1.
`
`B-2.
`
`B-3.
`
`C-1.
`
`C-2.
`
`C-3.
`
`Market Share and Average Retail Prescription Price,
`by Type of Drug, 1994
`
`Average Time from Clinical Testing to Final Approval
`for an Innovator Drug
`
`Percentage of New Drugs Acquired Rather Than Self-
`Originated by U.S.-Owned Drug Companies
`
`Average Price Differences for Various Types of
`Purchasers in the Pharmaceutical Market
`
`Price Comparison of Generic and Innovator Drugs,
`by Number of Manufacturers, 1994
`
`Generic Subsidiaries or Divisions of Brand-Name Manufacturers
`
`Changes in Patent Protection for U.S. Pharmaceuticals
`
`Average Length of Hatch-Waxman Extensions for
`Drugs Approved Between 1992 and 1995
`
`Limits on Hatch-Waxman Extensions for Drugs
`Approved Between 1992 and 1995
`
`Reasons That Some Drugs Approved Between 1992
`and 1995 Did Not Receive a Hatch-Waxman Extension
`
`Data and Methods Behind CBO’s Estimates
`
`Variables Used in the Regression Analysis of Discounting
`
`Regression Results on Price Dispersion in 1994
`
`The Effects of Generic and Brand-Name Competition
`on Price Dispersion
`
`Assumptions Used to Calculate the Change in Returns
`from Marketing a Drug
`
`Formulas for Calculating Generic Market Share
`
`How Sensitive Is the Calculation of Returns to Changes
`in the Base-Case Assumptions?
`
`vii
`
`15
`
`17
`
`22
`
`25
`
`33
`
`34
`
`39
`
`40
`
`41
`
`41
`
`54
`
`61
`
`63
`
`64
`
`67
`
`69
`
`71
`
`000007
`
`

`

`viii HOW INCREASED COMPETITION FROM GENERIC DRUGS
`
`July 1998
`
`FIGURES
`
`1.
`
`2.
`
`3.
`
`4.
`
`5.
`
`6.
`
`7.
`
`BOXES
`
`1.
`
`2.
`
`3.
`
`4.
`
`C-1.
`
`D-1.
`
`How PBMs Fit Into the Payment System for
`Prescription Drugs
`
`Channels of Distribution for Prescription Drugs
`
`Change in the Profit Stream for a Typical
`Innovator Drug
`
`Choosing a Profit-Maximizing Price for a Drug
`
`Market Share of the Top Three Innovator Drugs
`in 66 Therapeutic Classes, 1994
`
`Growth in the Market Share of Generic Drugs
`Since 1984
`
`The Average Profit Stream for a Brand-Name Drug
`Before and After the Hatch-Waxman Act
`
`Types of Prescription Drugs
`
`The Role of Changes in State Drug-Product
`Substitution Laws
`
`Defining Therapeutic Classes of Drugs
`
`Studies of How Generic Entry Affects Brand-Name Prices
`
`Calculating the Probability of Generic Entry
`
`Calculating the Impact of the Replacement Effect and
`Generic Competition on the Returns from Innovation
`
`8
`
`14
`
`16
`
`19
`
`23
`
`27
`
`46
`
`2
`
`7
`
`23
`
`30
`
`68
`
`74
`
`000008
`
`

`

`Summary
`
`The pharmaceutical market has become increas-
`
`ingly competitive since the early 1980s, in part
`because of the dramatic growth of the generic
`drug industry. In 1996, 43 percent of the prescription
`drugs sold in the United States (as measured in total
`countable units, such as tablets and capsules) were
`generic. Twelve years earlier, the figure was just 19
`percent. Generic drugs cost less than their brand-
`name, or "innovator," counterparts. Thus, they have
`played an important role in holding down national
`spending on prescription drugs from what it would
`otherwise have been. Considering only sales through
`pharmacies, the Congressional Budget Office (CBO)
`estimates that by substituting generic for brand-name
`drugs, purchasers saved roughly $8 billion to $10 bil-
`lion in 1994 (at retail prices).
`
`Three factors are behind the dramatic rise in
`sales of generic drugs that has made those savings
`possible. First, the Drug Price Competition and Pat-
`ent Term Restoration Act of 1984—commonly known
`as the Hatch-Waxman Act—made it easier and less
`costly for manufacturers to enter the market for ge-
`neric, nonantibiotic drugs. Second, by 1980, most
`states had passed drug-product substitution laws that
`allowed pharmacists to dispense a generic drug even
`when the prescription called for a brand-name drug.
`And third, some government health programs, such as
`Medicaid, and many private health insurance plans
`have actively promoted such generic substitution.
`
`Greater sales of generic drugs reduce the returns
`that pharmaceutical companies earn from developing
`brand-name drugs. The Hatch-Waxman Act aimed to
`
`limit that effect by extending the length of time that a
`new drug is under patent—and thus protected from
`generic competitors. Those extensions compensate for
`the fact that part of the time a drug is under patent it is
`being reviewed by the Food and Drug Administration
`(FDA) rather than being sold. The act tried to balance
`two competing objectives: encouraging competition
`from generic drugs while maintaining the incentive to
`invest in developing innovative drugs. It fell some-
`what short of achieving that balance, however, in part
`because the act shortened the average time between the
`expiration of a brand-name drug's patent and the ar-
`rival of generic copies on the market (so-called generic
`entry) from more than three years to less than three
`months. More important, it also greatly increased the
`number of drugs that experience generic competition
`and, thus, contributed to an increase in the supply of
`generic drugs. In the end, the cost to producers of
`brand-name drugs from faster generic entry has
`roughly offset the benefit they receive from extended
`patent terms. Meanwhile, the greater competition
`from generic drugs has somewhat eroded their ex-
`pected returns from research and development.
`
`CBO estimates that those factors have lowered
`the average returns from marketing a new drug by
`roughly 12 percent (or $27 million in 1990 dollars).
`In this study, "returns from marketing a new drug"
`refers to the present discounted value of the total
`stream of future profits expected from an average
`brand-name drug. Previous studies estimate that those
`profits had an average present discounted value of
`$210 million to $230 million (in 1990 dollars) for
`drugs introduced in the early 1980s. Those returns are
`
`000009
`
`

`

`x HOW INCREASED COMPETITION FROM GENERIC DRUGS HAS AFFECTED PRICES AND RETURNS
`
`July 1998
`
`valued at the date of market introduction, after sub-
`tracting production costs but not the costs of research
`and development. Also, because the drugs in those
`studies were not eligible for the patent-term extensions
`provided by the Hatch-Waxman Act, those estimates
`do not account for the benefits of the extensions now
`available under the act. Thus, those figures can be
`considered a minimum estimate of the returns from
`marketing. Only part of the estimated decline in re-
`turns can be attributed to the Hatch-Waxman Act; the
`other factors that have boosted sales of generic drugs
`have played a role as well.
`
`This study relies on a variety of data to produce
`its estimates, including a data set that represents about
`70 percent of prescription drug sales through retail
`pharmacies in the United States. The various sets of
`data all have strengths and weaknesses, which are dis-
`cussed along with the estimates they generate. In gen-
`eral, the empirical estimates in this study are rough
`rather than precise measures. They help characterize
`the increase in competition in the pharmaceutical mar-
`ket and its effects on the profits of drug manufacturers
`and the prices paid for prescription drugs.
`
`The Effects of Managed Care
`on the Pharmaceutical Market
`
`At the same time that the Hatch-Waxman Act has
`helped increase the supply of generic drugs, changes in
`the demand for pharmaceuticals have affected the fre-
`quency with which generic and brand-name drugs are
`prescribed and the prices paid for them. Those
`changes in demand were brought on by newer forms of
`health care delivery and financing. In particular, be-
`cause of competitive pressure in the health insurance
`market, more private-sector health plans have adopted
`managed care techniques in an effort to hold down
`overall health spending. The net effect of those tech-
`niques on spending for prescription drugs, however, is
`unclear.
`
`On the one hand, many health plans (including
`traditional fee-for-service plans) hold down drug costs
`by "managing" their outpatient prescription drug
`benefits—either themselves or through organizations
`called pharmaceutical benefit management companies
`
`(PBMs). Those plans and PBMs use computer net-
`works at pharmacies and electronic card systems for
`enrollees that allow pharmacists, before filling an
`enrollee's prescription, to consult a list (or formulary)
`of the plan's suggested drugs. Formularies typically
`encourage substituting brand-name drugs with generic
`versions, or sometimes with other, less expensive
`brand-name drugs. Savings result not only because of
`that substitution but also because many manufacturers
`of brand-name drugs offer discounts to health plans or
`PBMs in exchange for being included on their formu-
`lary. In addition, because they represent a large pool
`of customers, PBMs can negotiate with pharmacies
`over the retail prices charged for prescriptions. Since
`the late 1980s, those various techniques have been
`putting downward pressure on the prices that PBMs
`and health plans pay for prescription drugs sold
`through pharmacies.
`
`On the other hand, health maintenance organiza-
`tions (HMOs) and some other managed care plans fre-
`quently charge lower copayments for health care ser-
`vices—including physician visits and prescription
`drugs—than traditional fee-for-service plans do.
`Those lower copayments may lead to greater use of
`prescription drugs by beneficiaries. The treatment
`practices of HMOs may also favor more intensive use
`of prescription drugs, perhaps as an alternative to
`costlier forms of treatment. As a result, the increasing
`prevalence of managed care plans may have helped
`boost the quantity of prescription drugs sold in the
`United States.
`
`For brand-name drugs still under patent (which
`do not yet have generic competitors), managed care
`techniques may have only a small effect on profits,
`assuming that greater use offsets the downward pres-
`sure on prices. For brand-name drugs whose patents
`have expired, however, profits are probably lower than
`they would have been without the generic substitution
`promoted in part by managed care plans and PBMs;
`that substitution has cut dramatically into the market
`share of those drugs. (CBO's calculation of the
`change in returns accounts for the full increase in ge-
`neric market share since 1984, part of which is attrib-
`utable to the rise in managed care techniques, but it
`does not measure managed care's effect on profitabil-
`ity through other variables, such as increases in pre-
`scription drug use and changes in pricing.)
`
`000010
`
`

`

`SUMMARY
`
` xi
`
`Pricing and Competition in the
`Pharmaceutical Market
`
`Competition in the pharmaceutical market takes three
`forms: among brand-name drugs that are therapeuti-
`cally similar, between brand-name drugs and generic
`substitutes, and among generic versions of the same
`drug. Manufacturers of brand-name drugs compete
`for market share primarily through advertising and the
`quality of their products (including efficacy and side
`effects), as well as through pricing. Manufacturers of
`generic drugs increase their market share mainly by
`lowering prices. (In general, companies produce either
`generic or brand-name drugs, not both, although some
`generic manufacturers are subsidiaries of brand-name
`manufacturers.)
`
`Competition Among Brand-Name
`Drugs
`
`Patents do not grant complete monopoly power in the
`pharmaceutical industry. The reason is that compa-
`nies can frequently discover and patent several differ-
`ent drugs that use the same basic mechanism to treat
`an illness. The first drug using the new mechanism to
`treat that illness—the breakthrough drug—usually has
`between one and six years on the market before a ther-
`apeutically similar patented drug (sometimes called a
`"me-too" drug) is introduced. Economic theory and
`various studies suggest that the presence of several
`therapeutically similar drugs limits manufacturers'
`ability to raise prices as much as would otherwise be
`the case. In addition, brand-name manufacturers are
`more likely to agree to give purchasers a discount if
`those purchasers have the option of switching to a ge-
`neric or me-too competitor.
`
`The factors that limit the number of similar but
`slightly differentiated brand-name drugs on the market
`are unclear. In some cases, perhaps, only a limited
`number of slightly different chemicals that target a
`given enzyme can be developed into drugs. Or, as one
`economist has suggested, the high cost of developing a
`drug may limit the number of similar brand-name
`drugs that are eventually brought to market. Compa-
`nies will undertake such investment only if they be-
`
`lieve the market is not already saturated or their drug
`has some quality advantage that could enable it to
`compete effectively and earn an adequate return. For
`that reason, competition among patented brand-name
`drugs probably results in companies' earning roughly a
`normal rate of return on their investment in research
`and development (R&D), on average.
`
`Overall, the pharmaceutical market is not highly
`concentrated, but when that market is divided into nar-
`rowly defined therapeutic classes, it becomes quite
`concentrated. The top manufacturers of brand-name
`drugs, ranked by pharmaceutical sales, each account
`for no more than 7 percent of the entire market for
`prescription drugs (which totaled $60.7 billion in 1995
`at manufacturer prices). Within each therapeutic
`class, however, higher levels of concentration appear.
`In 35 of the 66 therapeutic classes that CBO examined
`in this study, the top three innovator drugs together
`constituted at least 80 percent of retail pharmacy sales
`in their class.
`
`Studies of the average prices paid by pharmacies
`and hospitals have shown that manufacturers of
`brand-name drugs do compete with each other through
`pricing. The markups they charge over the marginal
`cost of producing a drug are consistent with economic
`models of price competition in which entry by manu-
`facturers is limited (such as by patents). Offering dis-
`counts to some buyers may also be an important di-
`mension of price competition for brand-name drugs.
`But its extent is difficult to measure because of lack of
`data.
`
`Discounts on Brand-Name Drugs
`
`Different buyers pay different prices for brand-name
`prescription drugs. In theory, when companies are
`permitted to charge different types of purchasers dif-
`ferent prices, those purchasers least sensitive to price
`will pay the most. In today's market for outpatient
`drugs, purchasers that have no insurance coverage for
`drugs, or third-party payers that do not use a formu-
`lary to manage their outpatient drug benefits, pay the
`highest prices for brand-name drugs.
`
`Manufacturers offer discounts on brand-name
`drugs based not only on the volume purchased but also
`
`000011
`
`

`

`xii HOW INCREASED COMPETITION FROM GENERIC DRUGS HAS AFFECTED PRICES AND RETURNS
`
`July 1998
`
`on the buyer's ability to affect the drug's market share
`by using a formulary to systematically favor one
`brand-name drug over another for a large number of
`patients. Pharmacies themselves do not generally pro-
`mote substitution between brand-name drugs, so they
`do not generally receive large discounts or rebates
`from manufacturers. Rather, it is the PBMs and in-
`surers who manage benefits for drugs sold through
`pharmacies that promote brand-name substitution and
`receive discounts.
`
`Such price discrimination, or discounting, may
`be an important mechanism for facilitating price com-
`petition in the pharmaceutical market. It rewards in-
`stitutional purchasers that organize their patient base
`through formularies so as to encourage the use of less
`costly drugs. Prohibiting discounts, as some policy-
`makers have called for, could decrease price competi-
`tion.
`
`Drug companies usually do not make their dis-
`counts public, but CBO was able to obtain limited
`information on the prices paid by different types of
`purchasers for prescription drugs. The prices that
`pharmacies pay can be seen as a proxy for the final
`price paid by customers who do not have a managed
`drug benefit or PBM to negotiate rebates from manu-
`facturers. Based on the average invoice prices for top-
`selling drugs sold primarily to retail pharmacies, hos-
`pitals and clinics pay 9 percent less than retail phar-
`macies, on average, and HMOs pay 18 percent less.
`Federal facilities, such as veterans' hospitals, get an
`even more substantial discount—over 40 percent, on
`average, compared with the price paid by retail phar-
`macies. (Those comparisons are based only on in-
`voice prices, so they do not account for rebates and
`other types of discounts that do not appear on in-
`voices.)
`
`Statistical analysis shows that manufacturers'
`discounts on brand-name drugs tend to be higher when
`more generic and me-too drugs are available. That
`analysis is based on the difference between the average
`price paid by pharmacies and the lowest price paid by
`any private purchaser in the United States (the best-
`price discount), as reported under the Medicaid drug
`rebate program. CBO found that the best-price dis-
`count for a brand-name drug was 10 to 14 percentage
`points greater when a generic version was available
`from four or more manufacturers. That analysis also
`
`showed that as the number of brand-name manufactur-
`ers in a therapeutic class increases from one to five,
`the best-price discount grows by 10 percentage points.
`Those statistical results imply that discounts are at
`least partly a response to competitive market condi-
`tions and may be a sign of greater price competition in
`some segments of the pharmaceutical market.
`
`Competition Between Brand-Name
`and Generic Drugs
`
`The Hatch-Waxman Act eliminated the duplicative
`tests that had been required for a generic drug to ob-
`tain approval from the FDA. (That change applied
`only to nonantibiotic drugs, since antibiotics already
`had an abbreviated approval process.) Before 1984,
`manufacturers of generic drugs were required to inde-
`pendently prove the safety and efficacy of their prod-
`ucts. They were prohibited from using the unpub-
`lished test results of the original innovator drug, which
`were considered trade secrets of its manufacturer.1
`The Hatch-Waxman Act streamlined the process for
`approving generic drugs by requiring only that manu-
`facturers demonstrate "bioequivalence" to an already-
`approved innovator drug. (Bioequivalence means that
`the active ingredient is absorbed at the same rate and
`to the same extent for the generic drug as for the inno-
`vator drug.) The tests necessary to prove bioequiva-
`lence are much less costly than those required to prove
`safety and efficacy.
`
`By accelerating the approval process for a ge-
`neric drug and also allowing its producer to begin clin-
`ical tests before the patent on the innovator drug had
`expired, the Hatch-Waxman Act reduced the average
`delay between patent expiration and generic entry
`from more than three years to less than three months
`for top-selling drugs. Even more important, the act
`increased the proportion of brand-name drugs that
`face generic competition once their patents expire. In
`1983, only 35 percent of the top-selling drugs with
`expired patents (excluding antibiotics and drugs ap-
`proved before 1962) had generic versions available.
`Today, nearly all do.
`
`1.
`
`This study uses the terms "brand-name" and "innovator" inter-
`changeably.
`
`000012
`
`

`

`SUMMARY
`
` xiii
`
`After a drug's patent expires, generic copies
`quickly gain a large share of its market. CBO exam-
`ined 21 brand-name prescription drugs in its retail
`pharmacy data set that first saw generic competition
`between 1991 and 1993. Within their first full calen-
`dar year after patent expiration, those drugs lost an
`average of 44 percent of their market (as measured by
`the quantity of prescriptions sold through pharmacies)
`to generic drugs. And the generic versions cost an
`average of 25 percent less than the original brand-
`name drugs at retail prices. That rapid growth in ge-
`neric market share after patent expiration is a substan-
`tial change from the situation before the 1984 Hatch-
`Waxman Act. In 1983, for example, generic market
`share averaged just 13 percent for nonantibiotic drugs.
`
`Various studies have found that generic entry has
`little effect on the prices of brand-name drugs, which
`continue to increase faster than inflation. CBO's anal-
`ysis of the average prices that manufacturers charge
`for drugs distributed to retail pharmacies is consistent
`with that result. However, CBO's analysis of dis-
`counting shows that certain purchasers other than re-
`tail pharmacies receive steeper discounts on brand-
`name drugs once generic alternatives are available.
`Taken together, those results imply that the impact of
`generic entry on brand-name prices may vary consid-
`erably among different types of purchasers.
`
`Even if brand-name prices frequently do not re-
`spond to generic competition, such competition can
`effectively save money because price-sensitive buyers
`may switch to lower-priced generic drugs. CBO esti-
`mates that in 1994, purchasers saved a total of $8 bil-
`lion to $10 billion on prescriptions at retail pharmacies
`by substituting generic drugs for their brand-name
`counterparts. (That estimate assumes that all of the
`generic prescriptions dispensed in 1994 would have
`been filled with a higher-priced brand-name drug if a
`generic drug was not available.)
`
`Competition Among Generic Drugs
`
`By making generic entry easier and less costly, the
`Hatch-Waxman Act helped increase the number of
`generic manufacturers producing the same drug. As
`the number of manufacturers rises, the average pre-
`scription price of a generic drug falls. CBO's analysis
`
`shows that when one to 10 firms are manufacturing
`and distributing generic forms of a particular drug, the
`generic retail price of that drug averages about 60 per-
`cent of the brand-name price. When more than 10
`manufacturers have entered the market, the average
`generic prescription price falls to less than half of the
`brand-name price.
`
`The Effects of the Hatch-
`Waxman Act on the Returns
`from Innovation
`
`The patent provisions in the Hatch-Waxman Act have
`not completely protected drug companies' profits from
`the dramatic rise in generic competition since 1984.
`Manufacturers of brand-name drugs invest an average
`of about $200 million (in 1990 dollars) to bring a new
`drug to market, when the cost of capital and the cost
`of failures (investment in drugs that never make it to
`market) are included. Patent protection enables manu-
`facturers to earn an adequate return on that invest-
`ment. By itself, generic entry increases the rate at
`which sales erode after patent expiration, thus reduc-
`ing the returns from marketing a new drug. Two stud-
`ies have estimated that drugs introduced in the early
`1980s earned returns that exceeded their capitalized
`costs of development by $22 million to $36 million, on
`average. (Those figures represent the present dis-
`counted value in 1990 dollars.) CBO concludes that
`since 1984, the expected returns from marketing a new
`drug have declined by about 12 percent, or $27 million
`in 1990 dollars. That decline has probably not made
`drug development unprofitable on average, but it may
`have made some specific projects unprofitable.
`
`Changes to the Length of Patents
`for Brand-Name Drugs
`
`Under the Hatch-Waxman Act, drugs that contain a
`new chemical entity never before approved by the
`FDA can qualify for an extension of their patent term.
`Those extensions, granted after the drug is approved,
`equal half of the time the drug spent in clinical testing
`(usually a total of six to eight years) plus all of the
`
`000013
`
`

`

`xiv HOW INCREASED COMPETITION FROM GENERIC DRUGS HAS AFFECTED PRICES AND RETURNS
`
`July 1998
`
`time it spent having the FDA review its new drug ap-
`plication (usually about two years). Two key limita-
`tions apply. First, the extension cannot be longer than
`five years, and second, it cannot grant a total period of
`patent protection that exceeds 14 years after the drug
`is approved.
`
`June 8, 1995 (most of which have yet to be introduced
`on the market). However, many products that were
`already under patent by that date have benefited from
`the URAA, since their manufacturers can choose be-
`tween the 17-year and 20-year patent terms and still
`be eligible for a Hatch-Waxman extension.
`
`The 14-year limit is the main reason that Hatch-
`Waxman extensions now average about three years in
`length. Fifty-one drugs approved between 1992 and
`1995 received an extension. Excluding the eight drugs
`that were subject to a transitional two-year cap (which
`applied to products already in testing when the act
`took effect), half of the drugs had their extensions lim-
`ited by the 14-year cap.
`
`Not all of the new drugs that are approved obtain
`an extension. Out of 101 drugs approved between
`1992 and 1995, 38 did not apply for a Hatch-Waxman
`extension. Nineteen of those drugs had no patent to
`extend, and 15 others already had 14 years of patent
`protection left after obtaining FDA approval.
`
`the Hatch-
`Besides patent-term extensions,
`Waxman Act contains other provisions that postpone
`generic competition. One key provision is the require-
`ment that manufacturers wait five years after an inno-
`vator drug is approved before filing an application to
`sell a generic copy. That requirement benefits drugs
`that have no patent, or that have very little time left
`under patent, when they are approved. That exclusiv-
`ity provision, together with the patent-term extensions,
`postpones generic entry by an average of 2.8 years for
`all drugs approved that contain a new chemical entity.
`Another exclusivity provision delays generic entry for
`three years when a new application is approved that
`requires clinical tests (such as for a new dosage form
`or over-the-counter version of an already-approved
`drug).
`
`Ten years after the Hatch-Waxman Act, another
`piece of federal legislation—the Uruguay Round
`Agreements Act of 1994 (URAA)—further changed
`the patent terms of prescription drugs. That act al-
`tered the length of a patent for all types of inventions
`to 20 years from the date the application is filed rather
`than 17 years from the date the patent is granted.
`That change should have little effect on the average
`amount of time between market introduction and pat-
`ent expiration for brand-name drugs patented after
`
`The Change in Returns from Innovation
`
`As noted earlier, the Hatch-Waxman Act greatly in-
`creased the probability that a generic copy would be-
`come available once the patent on a brand-name drug
`expired. It also contributed to a dramatic rise in ge-
`neric market share. In addition, the act reduced the
`delay between patent expiration and generic entry, but
`that acceleration was roughly offset by patent-term
`extensions and exclusivity provisions that postpone
`generic entry.
`
`CBO estimates that the increase in the size of the
`generic market since 1984—part of which is attribut-
`able to the act—has reduced the expected level of re-
`turns from marketing a brand-name drug by an aver-
`age of $27 million in 1990 dollars. That amount is
`roughly 12 percent of the total discounted returns from
`selling a brand-name drug, which previous studies
`have estimated at $210 million to $230 million in 1990
`dollars for drugs introduced in the early 1980s.
`(Those figures represent the present discounted value
`of the total stream of profits from those drugs dis-
`counted to the date of market introduction, deducting
`manufacturing costs but not R&D costs.) That 12
`percent decline does not change significantly under
`reasonable variations in CBO's underlying assump-
`tions.
`
`Other factors besides the Hatch-Waxman Act
`have played a role in increasing the frequency of ge-
`neric competition and the average size of generic mar-
`ket share. For example, changes in state laws have
`given pharmacists more leeway to substitute generic
`drugs for brand-name ones. And for reasons of cost,
`many purchasers have put increasing emphasis on ge-
`neric substitution.
`
`Total returns from selling a brand-name pre-
`scription drug vary significantly among different
`drugs. As noted above, the average cost of developing
`
`000014
`
`

`

`SUMMARY
`
` xv
`
`such drugs, including failures, is around $200 million
`in 1990 dollars. But on average only three in 10 drugs
`earn that much in discounted returns (after deducting
`manufacturing, advertising, distribution, and other
`non-R&D-related costs). For most drugs, the returns
`from marketing do not exceed the average capitalized
`costs of development. As a result, for a company's
`average returns to exceed its average development
`costs, the company must discover and market a highly
`profitable drug from time to time.
`
`For all drugs, on average, the increase in generic
`sales since 1984 has probably not reduced expected
`returns below the average capitalized costs of R&D.
`On the margin, however, it is possible that a few drugs
`that were barely profitable to develop before may no
`longer be so now.
`
`CBO's calculation of the change

This document is available on Docket Alarm but you must sign up to view it.


Or .

Accessing this document will incur an additional charge of $.

After purchase, you can access this document again without charge.

Accept $ Charge
throbber

Still Working On It

This document is taking longer than usual to download. This can happen if we need to contact the court directly to obtain the document and their servers are running slowly.

Give it another minute or two to complete, and then try the refresh button.

throbber

A few More Minutes ... Still Working

It can take up to 5 minutes for us to download a document if the court servers are running slowly.

Thank you for your continued patience.

This document could not be displayed.

We could not find this document within its docket. Please go back to the docket page and check the link. If that does not work, go back to the docket and refresh it to pull the newest information.

Your account does not support viewing this document.

You need a Paid Account to view this document. Click here to change your account type.

Your account does not support viewing this document.

Set your membership status to view this document.

With a Docket Alarm membership, you'll get a whole lot more, including:

  • Up-to-date information for this case.
  • Email alerts whenever there is an update.
  • Full text search for other cases.
  • Get email alerts whenever a new case matches your search.

Become a Member

One Moment Please

The filing “” is large (MB) and is being downloaded.

Please refresh this page in a few minutes to see if the filing has been downloaded. The filing will also be emailed to you when the download completes.

Your document is on its way!

If you do not receive the document in five minutes, contact support at support@docketalarm.com.

Sealed Document

We are unable to display this document, it may be under a court ordered seal.

If you have proper credentials to access the file, you may proceed directly to the court's system using your government issued username and password.


Access Government Site

We are redirecting you
to a mobile optimized page.





Document Unreadable or Corrupt

Refresh this Document
Go to the Docket

We are unable to display this document.

Refresh this Document
Go to the Docket