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Egilman AC, Kesselheim AS, Sarpatwari A, Rome BN. Estimated Medicare Part D Savings From Generic Drugs With a Skinny Label. Ann Intern Med 2024. [PMID: 38684101 DOI: 10.7326/m23-3212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2024] Open
Affiliation(s)
- Alexander C Egilman
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Aaron S Kesselheim
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ameet Sarpatwari
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Benjamin N Rome
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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Egilman AC, Kesselheim AS, Avorn J, Raymakers AJN, Rome BN. Use of Efficiency Frontiers to Align Prices and Clinical Benefits of Biologic Therapies for Plaque Psoriasis. JAMA Dermatol 2024; 160:409-416. [PMID: 38381418 PMCID: PMC10882509 DOI: 10.1001/jamadermatol.2023.6236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/21/2023] [Indexed: 02/22/2024]
Abstract
Importance The US lacks a systematic approach for aligning drug prices with clinical benefit, and traditional cost-effectiveness analysis (CEA) faces political obstacles. The efficiency frontier (EF) method offers policymakers an alternative approach. Objective To assess how the EF approach could align prices and clinical benefits of biologic medications for plaque psoriasis and estimate price reductions in the US vs 4 peer countries: Australia, Canada, France, and Germany. Design and Setting This health economic evaluation used the EF approach to compare the prices and clinical benefits of 11 biologics and 2 biosimilars for plaque psoriasis in the US, Australia, Canada, France, and Germany. Data were collected from February to March 2023 and analyzed from March to June 2023. Main Outcome Measures EFs were constructed based on each biologic's efficacy, measured using the Psoriasis Area and Severity Index (PASI) 90 response rate, and annual treatment cost as of January 2023; US costs were net of estimated manufacturer rebates. Prices based on the EF were compared with traditional CEA-based prices calculated by the Institute for Clinical and Economic Review at a threshold of $150 000 per quality-adjusted life-year gained. Results Among 13 biologics, PASI 90 response rates ranged from 17.9% (etanercept) to 71.6% (risankizumab); US net annual treatment costs ranged from $1664 (infliximab-dyyb) to $79 277 (risankizumab). The median (IQR) net annual treatment cost was higher in the US ($34 965 [$20 493-$48 942]) than prerebate costs in Australia ($9179 [$6691-$12 688]), Canada ($15 556 [$13 017-$16 112]), France ($9478 [$6637-$11 678]), and Germany ($13 829 [$13 231-$15 837]). The US EF included infliximab-dyyb (PASI 90: 57.4%; annual cost: $1664), ixekizumab (PASI 90: 70.8%; annual cost: $33 004), and risankizumab (PASI 90: 71.6%; annual cost: $79 277). US prices for psoriasis biologics would need to be reduced by a median (IQR) of 71% (31%-95%) to align with those estimated using the EF; the same approach would yield smaller price reductions in Canada (41% [6%-57%]), Australia (36% [0%-65%]), France (19% [0%-67%]), and Germany (11% [8%-26%]). Except for risankizumab, the EF-based prices were lower than the prices based on traditional CEA. Conclusions and Relevance This economic evaluation showed that for plaque psoriasis biologics, using an EF approach to negotiate prices could lead to substantial price reductions and better align prices with clinical benefits. US policymakers might consider using EFs to achieve prices commensurate with comparative clinical benefits, particularly for drug classes with multiple therapeutic alternatives for which differences can be adequately summarized by a single outcome measurement.
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Affiliation(s)
- Alexander C. Egilman
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Aaron S. Kesselheim
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Jerry Avorn
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Adam J. N. Raymakers
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Benjamin N. Rome
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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3
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Egilman AC, Rome BN, Kesselheim AS. Gauging the Value of Top-Selling Drugs in Medicare-Reply. JAMA 2023; 330:665-666. [PMID: 37581674 DOI: 10.1001/jama.2023.10961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Affiliation(s)
- Alexander C Egilman
- Division of Pharmacoepidemiology and Pharmacoeconomics, Program on Regulation, Therapeutics, and Law (PORTAL), Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Benjamin N Rome
- Division of Pharmacoepidemiology and Pharmacoeconomics, Program on Regulation, Therapeutics, and Law (PORTAL), Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Aaron S Kesselheim
- Division of Pharmacoepidemiology and Pharmacoeconomics, Program on Regulation, Therapeutics, and Law (PORTAL), Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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Abstract
Importance The Inflation Reduction Act of 2022 authorizes Medicare to negotiate prices of top-selling drugs based on several factors, including therapeutic benefit compared with existing treatment options. Objective To determine the added therapeutic benefit of the 50 top-selling brand-name drugs in Medicare in 2020, as assessed by health technology assessment (HTA) organizations in Canada, France, and Germany. Design, Setting, and Participants In this cross-sectional study, publicly available therapeutic benefit ratings, US Food and Drug Administration documents, and the Medicare Part B and Part D prescription drug spending dashboards were used to determine the 50 top-selling single-source drugs used in Medicare in 2020 and to assess their added therapeutic benefit ratings through 2021. Main Outcomes and Measures Ratings from HTA bodies in Canada, France, and Germany were categorized as high (moderate or greater) or low (minor or no) added benefit. Each drug was rated based on its most favorable rating across countries, indications, subpopulations, and dosage forms. We compared the use and prerebate and postrebate (ie, net) Medicare spending between drugs with high vs low added benefit. Results Forty-nine drugs (98%) received an HTA rating by at least 1 country; 22 of 36 drugs (61%) received a low added benefit rating in Canada, 34 of 47 in France (72%), and 17 of 29 in Germany (59%). Across countries, 27 drugs (55%) had a low added therapeutic rating, accounting for $19.3 billion in annual estimated net spending, or 35% of Medicare net spending on the 50 top-selling single-source drugs and 11% of total Medicare net prescription drug spending in 2020. Compared with those with high added benefit, drugs with a low added therapeutic rating were used by more Medicare beneficiaries (median 387 149 vs 44 869) and had lower net spending per beneficiary (median $992 vs $32 287). Conclusions and Relevance Many top-selling Medicare drugs received low added benefit ratings by the national HTA organizations of Canada, France, and Germany. When negotiating prices for these drugs, Medicare should ensure they are not priced higher than reasonable therapeutic alternatives.
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Affiliation(s)
- Alexander C. Egilman
- Division of Pharmacoepidemiology and Pharmacoeconomics, Program on Regulation, Therapeutics, and Law (PORTAL), Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Benjamin N. Rome
- Division of Pharmacoepidemiology and Pharmacoeconomics, Program on Regulation, Therapeutics, and Law (PORTAL), Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Aaron S. Kesselheim
- Division of Pharmacoepidemiology and Pharmacoeconomics, Program on Regulation, Therapeutics, and Law (PORTAL), Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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Rome BN, Egilman AC, Patel NG, Kesselheim AS. Using Multiple Authorized Generics to Maintain High Prices: The Example of Entacapone. Value Health 2023; 26:370-377. [PMID: 36266218 DOI: 10.1016/j.jval.2022.08.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/19/2022] [Accepted: 08/03/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVES Brand-name drug manufacturers can market or license authorized generics (AGs), which are the same product sold under a generic name. By contrast, independent generics (IGs) are made by other manufacturers. The brand-name manufacturer of entacapone, a treatment for Parkinson's disease, established 4 AGs before IGs emerged. We used this case study to understand how AGs can affect the length of brand-name exclusivity and robustness of generic competition. METHODS Using public Food and Drug Administration and court records, we identified the regulatory and legal history for generic entacapone products marketed through 2021. We used Medicare Part D data to estimate trends in use, prices, and spending on entacapone products from 2011 to 2020, comparing actual spending with projected spending if IG competition had begun after expiration of the key patent protecting entacapone (October 2013) and prices had fallen consistent with levels observed for other generic drugs. RESULTS From 2012 to 2014, 3 potential entacapone IG manufacturers instead launched AG versions after settlement agreements with the brand-name manufacturer; the brand-name manufacturer additionally introduced its own AG. Four different IG versions were marketed beginning in 2015. From 2011 to 2020, average Medicare prices declined by 62%, less than the projected 74% to 92% price decline expected for a drug with 8 generics. Over this period, Medicare spent $1.1 billion on entacapone products, which could have been reduced by an estimated $137 to $449 million through typical IG competition. CONCLUSIONS The case of entacapone demonstrates how licensing multiple AGs in place of IG competition can increase spending. Government regulators should more rigorously monitor AGs to prevent such strategies.
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Affiliation(s)
- Benjamin N Rome
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Alexander C Egilman
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Neeraj G Patel
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Yale School of Medicine, New Haven, CT, USA
| | - Aaron S Kesselheim
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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Rome BN, Nagar S, Egilman AC, Wang J, Feldman WB, Kesselheim AS. Simulated Medicare Drug Price Negotiation Under the Inflation Reduction Act of 2022. JAMA Health Forum 2023; 4:e225218. [PMID: 36705916 DOI: 10.1001/jamahealthforum.2022.5218] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Importance The Inflation Reduction Act of 2022 gives Medicare the authority to negotiate prices for certain prescription drugs. Which drugs will be selected and how prices will be negotiated remain unclear. Objective To simulate drug selection and the minimum savings that would have been achieved at statutory ceiling prices if Medicare drug price negotiation had been implemented from 2018 to 2020. Design, Setting, and Participants In this cross-sectional study, a policy simulation analysis of high-spending prescription drugs in Medicare Part B and Part D that were eligible for negotiation from January 2018 to December 2020 was performed from August 5 to November 20, 2022. Exposures Eligibility criteria for selection and discounts afforded by the statutory ceiling prices for negotiation. Main Outcomes and Measures The main outcomes were characteristics of drugs subject to negotiation and estimated Medicare savings from 2018 to 2020 that would have been achieved through spending at ceiling prices compared with existing net prices accounting for price concessions. Results Among the 40 selected drugs, 35 were primarily reimbursed through Medicare Part D and 5 through Part B and 10 were biologics. The most common therapeutic classes were endocrine (11), neurologic or psychiatric (5), pulmonary (4), rheumatologic or immunologic (4), and cardiovascular (4). Median time from US Food and Drug Administration approval to selection was 12 years (IQR, 10-14 years). Three drugs faced generic competition in the 2 years between selection and price negotiation. For the remaining 37 drugs, estimated net Medicare spending from 2018 to 2020 was $55.3 billion; spending at ceiling prices would have been reduced by an estimated $26.5 billion, which represented 5% of estimated net Medicare drug spending during those 3 years. Conclusions and Relevance In this cross-sectional study, simulating the drug price negotiation provisions in the Inflation Reduction Act of 2022 revealed important limitations, including strict selection criteria and the potential for drugs to become ineligible for negotiation during the 2 years between selection and prices taking effect. Despite these limitations, the policy still delivered substantial savings because ceiling prices offered steep discounts, in part, by erasing excess spending from price increases faster than inflation.
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Affiliation(s)
- Benjamin N Rome
- Program on Regulation, Therapeutics, and Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Sarosh Nagar
- Program on Regulation, Therapeutics, and Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Alexander C Egilman
- Program on Regulation, Therapeutics, and Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Junyi Wang
- Program on Regulation, Therapeutics, and Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - William B Feldman
- Program on Regulation, Therapeutics, and Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Aaron S Kesselheim
- Program on Regulation, Therapeutics, and Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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7
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Abstract
This study uses annual Medicare Part B spending data to examine the potential savings from the drug pricing reforms in the Inflation Reduction Act of 2022.
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Affiliation(s)
- Alexander C. Egilman
- Program on Regulation, Therapeutics, and Law (PORTAL), Brigham and Women’s Hospital, Boston, Massachusetts
| | - Aaron S. Kesselheim
- Program on Regulation, Therapeutics, and Law (PORTAL), Brigham and Women’s Hospital, Boston, Massachusetts
| | - Benjamin N. Rome
- Program on Regulation, Therapeutics, and Law (PORTAL), Brigham and Women’s Hospital, Boston, Massachusetts
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Egilman AC, Van de Wiele VL, Rome BN, Darrow JJ, Tu SS, Kesselheim AS, Sarpatwari A. Frequency of Approval and Marketing of Biosimilars With a Skinny Label and Associated Medicare Savings. JAMA Intern Med 2023; 183:82-84. [PMID: 36441536 PMCID: PMC9706396 DOI: 10.1001/jamainternmed.2022.5419] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/22/2022] [Indexed: 11/29/2022]
Abstract
This cohort study assesses the frequency of approval and marketing of skinny-label biosimilars and their savings to Medicare.
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Affiliation(s)
- Alexander C. Egilman
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Victor L. Van de Wiele
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Benjamin N. Rome
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jonathan J. Darrow
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - S. Sean Tu
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- West Virginia University College of Law, Morgantown
| | - Aaron S. Kesselheim
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ameet Sarpatwari
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
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9
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Rome BN, Egilman AC, Kesselheim AS. Recent Trends in Prescription Drug Launch Prices-Reply. JAMA 2022; 328:1352-1353. [PMID: 36194222 DOI: 10.1001/jama.2022.13828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Benjamin N Rome
- Program On Regulation, Therapeutics, And Law (PORTAL), Brigham and Women's Hospital, Boston, Massachusetts
| | - Alexander C Egilman
- Program On Regulation, Therapeutics, And Law (PORTAL), Brigham and Women's Hospital, Boston, Massachusetts
| | - Aaron S Kesselheim
- Program On Regulation, Therapeutics, And Law (PORTAL), Brigham and Women's Hospital, Boston, Massachusetts
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10
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Puthumana J, Egilman AC, Ramachandran R, Naushad N, Shah N, Ross J. Early experience with the FDA's regulatory review of novel gene therapies. BMJ Evid Based Med 2022; 27:195-198. [PMID: 34635478 DOI: 10.1136/bmjebm-2021-111720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/24/2021] [Indexed: 11/03/2022]
Affiliation(s)
- Jeremy Puthumana
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Alexander C Egilman
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA
| | - Reshma Ramachandran
- Yale National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut, USA
| | - Nida Naushad
- Yale National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut, USA
| | - Nilay Shah
- Division of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA
| | - Joseph Ross
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
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Abstract
This study uses SSR Health data on drug list prices and estimated net prices after manufacturer discounts to evaluate trends in prices for newly marketed brand-name prescription drugs in the US from 2008 to 2021.
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Affiliation(s)
- Benjamin N. Rome
- Program on Regulation, Therapeutics, and Law (PORTAL), Brigham and Women’s Hospital, Boston, Massachusetts
| | - Alexander C. Egilman
- Program on Regulation, Therapeutics, and Law (PORTAL), Brigham and Women’s Hospital, Boston, Massachusetts
| | - Aaron S. Kesselheim
- Program on Regulation, Therapeutics, and Law (PORTAL), Brigham and Women’s Hospital, Boston, Massachusetts
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12
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Skydel JJ, Egilman AC, Wallach JD, Ramachandran R, Gupta R, Ross JS. Spending by the Centers for Medicare & Medicaid Services Before and After Confirmation of Benefit for Drugs Granted US Food and Drug Administration Accelerated Approval, 2012 to 2017. JAMA Health Forum 2022; 3:e221158. [PMID: 35977252 PMCID: PMC9142876 DOI: 10.1001/jamahealthforum.2022.1158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/31/2022] [Indexed: 11/14/2022] Open
Abstract
Question Findings Meaning Importance Objective Design and Setting Main Outcomes and Measures Results Conclusions and Relevance
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Affiliation(s)
| | - Alexander C. Egilman
- Program on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Joshua D. Wallach
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut
| | - Reshma Ramachandran
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System and Yale University, West Haven
| | - Ravi Gupta
- National Clinician Scholars Program, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Joseph S. Ross
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
- Center for Outcomes Research and Evaluation, Yale−New Haven Hospital, New Haven, Connecticut
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13
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Zhang AD, Puthumana J, Egilman AC, Schwartz JL, Ross JS. Demographic Characteristics of Participants in Trials Essential to US Food and Drug Administration Vaccine Approvals, 2010-2020. J Gen Intern Med 2022; 37:700-702. [PMID: 33660209 PMCID: PMC7928194 DOI: 10.1007/s11606-021-06670-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/14/2021] [Indexed: 11/30/2022]
Affiliation(s)
- Audrey D Zhang
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jeremy Puthumana
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Alexander C Egilman
- Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT, USA
| | - Jason L Schwartz
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
| | - Joseph S Ross
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA. .,Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT, USA. .,Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.
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14
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Egilman AC, Ross JS, Herder M. Optimiser les données accessibles dans le portail de renseignements cliniques de Santé Canada. CMAJ 2021; 193:E1616-1618. [PMID: 34663613 PMCID: PMC8547254 DOI: 10.1503/cmaj.210877-f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Alexander C Egilman
- Centre de recherche évaluative en santé (Egilman, Ross), Hôpital de Yale New Haven; Département de médecine interne (Ross), Faculté de médecine de Yale; Département des politiques et de la gestion de la santé (Ross), École de santé publique de Yale, New Haven (Connecticut); Institut du droit de la santé (Herder), École de droit Schulich, et Département de pharmacologie (Herder), Faculté de médecine, Université Dalhousie, Halifax, N.-É
| | - Joseph S Ross
- Centre de recherche évaluative en santé (Egilman, Ross), Hôpital de Yale New Haven; Département de médecine interne (Ross), Faculté de médecine de Yale; Département des politiques et de la gestion de la santé (Ross), École de santé publique de Yale, New Haven (Connecticut); Institut du droit de la santé (Herder), École de droit Schulich, et Département de pharmacologie (Herder), Faculté de médecine, Université Dalhousie, Halifax, N.-É
| | - Matthew Herder
- Centre de recherche évaluative en santé (Egilman, Ross), Hôpital de Yale New Haven; Département de médecine interne (Ross), Faculté de médecine de Yale; Département des politiques et de la gestion de la santé (Ross), École de santé publique de Yale, New Haven (Connecticut); Institut du droit de la santé (Herder), École de droit Schulich, et Département de pharmacologie (Herder), Faculté de médecine, Université Dalhousie, Halifax, N.-É.
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15
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Affiliation(s)
- Alexander C Egilman
- Center for Outcomes Research and Evaluation (Egilman, Ross), Yale-New Haven Hospital; Department of Internal Medicine (Ross), Yale School of Medicine; Department of Health Policy and Management (Ross), Yale School of Public Health, New Haven, Conn.; Health Law Institute (Herder), Schulich School of Law, and Department of Pharmacology (Herder), Faculty of Medicine, Dalhousie University, Halifax, NS
| | - Joseph S Ross
- Center for Outcomes Research and Evaluation (Egilman, Ross), Yale-New Haven Hospital; Department of Internal Medicine (Ross), Yale School of Medicine; Department of Health Policy and Management (Ross), Yale School of Public Health, New Haven, Conn.; Health Law Institute (Herder), Schulich School of Law, and Department of Pharmacology (Herder), Faculty of Medicine, Dalhousie University, Halifax, NS
| | - Matthew Herder
- Center for Outcomes Research and Evaluation (Egilman, Ross), Yale-New Haven Hospital; Department of Internal Medicine (Ross), Yale School of Medicine; Department of Health Policy and Management (Ross), Yale School of Public Health, New Haven, Conn.; Health Law Institute (Herder), Schulich School of Law, and Department of Pharmacology (Herder), Faculty of Medicine, Dalhousie University, Halifax, NS.
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16
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Abstract
IMPORTANCE Chiral switching, a strategy in which drug manufacturers develop a single-enantiomer formulation of a drug to be substituted for a racemic formulation, allows manufacturers to maintain market exclusivity for drugs losing patent protection, even without demonstrating superior efficacy or safety. OBJECTIVE To identify and characterize all randomized clinical trials (RCTs) directly comparing a Food and Drug Administration (FDA)-approved single-enantiomer drug against a previously approved racemic drug for 1 or more efficacy or safety end points. EVIDENCE REVIEW Drugs were identified using the Drugs@FDA database. Randomized clinical trials were identified using Ovid MEDLINE (1949 to October 22, 2019), Ovid Embase (1974 to October 22, 2019), Web of Science Core Collection (all years), ClinicalTrials.gov, and Cochrane Central Registry of Controlled Trials (CENTRAL, Wiley, Issue 8 of 12, October 22, 2019). Trials were characterized as favoring the single-enantiomer or racemic drugs based on whether the primary efficacy, secondary efficacy, and safety end points achieved each study's defined significance level (eg, P < .05). Trials were characterized as favoring neither drug if no statistically significant differences were reported for any end point or if both drugs were found to be superior for 1 or more separate end points. FINDINGS Fifteen FDA-approved single-enantiomer drugs were identified with racemic precursors approved in the US or Europe. For 3 single-enantiomer racemic drug pairs, no RCTs directly comparing the drugs were identified. For the remaining 12 pairs, 185 RCTs comparing efficacy or safety of the drug pairs were identified, 124 (67.0%) of which studied 1 pair (levobupivacaine/bupivacaine). There were 179 RCTs directly comparing drug pairs using efficacy end points, of which 23 (12.8%) favored the single enantiomer based on primary efficacy end point results. There were 124 RCTs directly comparing drug pairs using safety end points, of which 17 (13.7%) favored the single-enantiomer drug. For 9 of the 15 single-enantiomer drugs (60.0%), no RCTs were identified providing evidence of improved efficacy, based on primary end point results, or safety as compared with their racemic precursors. CONCLUSIONS AND RELEVANCE The results of this systematic review suggest that most newly marketed FDA-approved single-enantiomer drugs are infrequently directly compared with their racemic precursors, and when compared, they are uncommonly found to provide improved efficacy or safety, despite their greater costs.
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Affiliation(s)
- Aaron S. Long
- Yale University School of Medicine, New Haven, Connecticut
| | | | - Caitlin E. Meyer
- Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, Connecticut
| | | | - Joseph S. Ross
- Center for Outcomes Research and Evaluation, New Haven, Connecticut
- Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- National Clinician Scholars Program, Yale School of Medicine, Department of Internal Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Joshua D. Wallach
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut
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Puthumana J, Egilman AC, Zhang AD, Schwartz JL, Ross JS. Speed, Evidence, and Safety Characteristics of Vaccine Approvals by the US Food and Drug Administration. JAMA Intern Med 2021; 181:559-560. [PMID: 33170923 PMCID: PMC7656319 DOI: 10.1001/jamainternmed.2020.7472] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
This cross-sectional study evaluates all of the novel vaccines approved by the US Food and Drug Administration over the last decade.
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Affiliation(s)
- Jeremy Puthumana
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Alexander C Egilman
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut
| | - Audrey D Zhang
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Jason L Schwartz
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Joseph S Ross
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.,Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.,Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
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18
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Egilman AC, Kapczynski A, McCarthy ME, Luxkaranayagam AT, Morten CJ, Herder M, Wallach JD, Ross JS. Transparency of Regulatory Data across the European Medicines Agency, Health Canada, and US Food and Drug Administration. J Law Med Ethics 2021; 49:456-485. [PMID: 34665102 DOI: 10.1017/jme.2021.67] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Based on an analysis of relevant laws and policies, regulator data portals, and information requests, we find that clinical data, including clinical study reports, submitted to the European Medicines Agency and Health Canada to support approval of medicines are routinely made publicly available.
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19
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Wallach JD, Serghiou S, Chu L, Egilman AC, Vasiliou V, Ross JS, Ioannidis JPA. Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease. BMC Med Res Methodol 2020; 20:64. [PMID: 32171256 PMCID: PMC7071725 DOI: 10.1186/s12874-020-0914-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 01/27/2020] [Indexed: 01/22/2023] Open
Abstract
Background Among different investigators studying the same exposures and outcomes, there may be a lack of consensus about potential confounders that should be considered as matching, adjustment, or stratification variables in observational studies. Concerns have been raised that confounding factors may affect the results obtained for the alcohol-ischemic heart disease relationship, as well as their consistency and reproducibility across different studies. Therefore, we assessed how confounders are defined, operationalized, and discussed across individual studies evaluating the impact of alcohol on ischemic heart disease risk. Methods For observational studies included in a recent alcohol-ischemic heart disease meta-analysis, we identified all variables adjusted, matched, or stratified for in the largest reported multivariate model (i.e. potential confounders). We recorded how the variables were measured and grouped them into higher-level confounder domains. Abstracts and Discussion sections were then assessed to determine whether authors considered confounding when interpreting their study findings. Results 85 of 87 (97.7%) studies reported multivariate analyses for an alcohol-ischemic heart disease relationship. The most common higher-level confounder domains included were smoking (79, 92.9%), age (74, 87.1%), and BMI, height, and/or weight (57, 67.1%). However, no two models adjusted, matched, or stratified for the same higher-level confounder domains. Most (74/87, 85.1%) articles mentioned or alluded to “confounding” in their Abstract or Discussion sections, but only one stated that their main findings were likely to be affected by residual confounding. There were five (5/87, 5.7%) authors that explicitly asked for caution when interpreting results. Conclusion There is large variation in the confounders considered across observational studies evaluating the impact of alcohol on ischemic heart disease risk and almost all studies spuriously ignore or eventually dismiss confounding in their conclusions. Given that study results and interpretations may be affected by the mix of potential confounders included within multivariate models, efforts are necessary to standardize approaches for selecting and accounting for confounders in observational studies.
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Affiliation(s)
- Joshua D Wallach
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, 4th Floor, Room 411, New Haven, CT, 06510, USA. .,Collaboration for Research Integrity and Transparency (CRIT), Yale School of Medicine, New Haven, CT, 06510, USA. .,Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT, 06510, USA.
| | - Stylianos Serghiou
- Meta-Research Innovation Center at Stanford (METRICS), Stanford School of Medicine, 1265 Welch Rd, MSOB X306, Stanford, CA, 94305, USA.,Department of Epidemiology & Population Health, Stanford School of Medicine, 150 Governor's Lane, Stanford, CA, 94305, USA
| | - Lingzhi Chu
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, 4th Floor, Room 411, New Haven, CT, 06510, USA
| | - Alexander C Egilman
- Collaboration for Research Integrity and Transparency (CRIT), Yale School of Medicine, New Haven, CT, 06510, USA.,Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT, 06510, USA
| | - Vasilis Vasiliou
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, 4th Floor, Room 411, New Haven, CT, 06510, USA
| | - Joseph S Ross
- Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT, 06510, USA.,Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, 367 Cedar Street, Ste 405B, New Haven, CT, 06510, USA.,National Clinician Scholars Program, Yale School of Medicine, 367 Cedar Street, Ste 405B, New Haven, CT, 06510, USA.,Department of Health Policy and Management, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA
| | - John P A Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford School of Medicine, 1265 Welch Rd, MSOB X306, Stanford, CA, 94305, USA.,Department of Epidemiology & Population Health, Stanford School of Medicine, 150 Governor's Lane, Stanford, CA, 94305, USA.,Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 1265 Welch Rd, MSOB X306, Stanford, CA, 94305, USA.,Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, 94305, USA
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20
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Abstract
Litigation involving drug and medical device manufacturers has the potential to reveal important information about product efficacy and safety as well as company marketing. Prevailing legal standards recognize the public's interest in having access to certain types of information in lawsuits. However, in practice, courts and litigants commonly use overly broad or unwarranted confidentiality orders, which can prevent the public from accessing important public health information that emerges during litigation. This Special Communication reviews the rules governing confidentiality orders and discusses the tension between these rules and prevailing legal practices relating to court secrecy in medical product litigation, including competing interests among manufacturers, plaintiffs, and courts. Using examples of successful efforts to challenge confidentiality orders, we describe how these prevailing legal practices can undermine access to information by patients, clinicians, and the US Food and Drug Administration and also obscure patterns of injury and disease associated with the drugs and medical devices at issue. We then discuss several ways to advance access to information important to public health that emerges during litigation, focusing particularly on the role of medical experts engaged in cases.
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Affiliation(s)
- Alexander C Egilman
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.,Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, Connecticut
| | - Aaron S Kesselheim
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.,Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Joseph S Ross
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.,Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.,Section of General Internal Medicine and National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.,Associate Editor
| | - Jeanie Kim
- Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, Connecticut
| | - Amy Kapczynski
- Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, Connecticut
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21
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Egilman AC, Wallach JD, Morten CJ, Lurie P, Ross JS. Systematic overview of Freedom of Information Act requests to the Department of Health and Human Services from 2008 to 2017. Res Integr Peer Rev 2019; 4:26. [PMID: 31867126 PMCID: PMC6900838 DOI: 10.1186/s41073-019-0086-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 10/24/2019] [Indexed: 11/10/2022] Open
Abstract
Background The Freedom of Information Act (FOIA) provides access to unreleased government records that can be used to enhance the transparency and integrity of biomedical research. We characterized FOIA requests to Department of Health and Human Services (HHS) agencies, including request outcomes, processing times, backlogs, and costs. Methods Using HHS FOIA annual reports, we extracted data on the number of FOIA requests received and processed by HHS agencies between 2008 and 2017, as well as request outcomes. Processing times were reported in three time increments, < 1-20, 21-60, or 61+ days, and trends in backlog status were also described. Information about costs and fees collected were aggregated. Results Between 2008 and 2017, 69.6% of 530,094 HHS FOIA requests were received by the Centers for Medicare and Medicaid Services (CMS), 18.9% by the Food and Drug Administration (FDA), and 11.6% by all other HHS agencies. During this period, CMS processed 374,728 requests, FDA 114,938, and other HHS agencies 61,890. CMS and FDA reduced backlogged requests by 9396 (89.7%) and 4289 (65.3%), respectively, leaving backlogs of 1081 and 2279 requests at the end of 2017. CMS fully or partially granted 60.3% of requests whereas FDA fully or partially granted 72.4%. Of all requests to CMS, 82.0% were considered simple and 18.0% complex; 82.2% of simple requests and 54.9% of complex requests were processed in 20 days, and 5.6% and 29.9% were processed in 61+ days. In contrast, 60.2% of requests to FDA were considered simple and 39.8% complex; 28.8% of simple requests and 9.0% of complex requests were processed in 20 days, and 58.3% and 81.5% were processed in 61+ days. The costs to HHS associated with FOIA requests totaled $446.4 million ($809 per processed request), increasing from $28.1 million ($423 per request) in 2008 to $53.3 million ($1544 per request) in 2017. In total, HHS collected $8.5 million in fees (1.9% of total costs). Conclusions FOIA is frequently used to obtain information about HHS and its agencies. With growing costs, minimal fees collected, and lengthy processing times, HHS agencies' FOIA programs might be made more efficient through greater proactive record disclosure.
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Affiliation(s)
- Alexander C Egilman
- 1Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT USA.,2Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, CT USA
| | - Joshua D Wallach
- 2Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, CT USA.,3Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT USA
| | - Christopher J Morten
- 2Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, CT USA
| | - Peter Lurie
- 4Center for Science in the Public Interest, Washington, DC USA
| | - Joseph S Ross
- 1Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT USA.,5Section of General Medicine and the National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT USA.,6Department of Health Policy and Management, Yale School of Public Health, New Haven, CT USA
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22
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Affiliation(s)
- Alexander C Egilman
- Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, USA
| | - Joseph S Ross
- Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, USA
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23
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Egilman AC, Wallach JD, Dhruva SS, Gonsalves GS, Ross JS. Medicare Spending on Drugs and Biologics Not Recommended for Coverage by International Health Technology Assessment Agencies. J Gen Intern Med 2019; 34:2319-2321. [PMID: 31313117 PMCID: PMC6848610 DOI: 10.1007/s11606-019-05149-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Alexander C Egilman
- Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, CT, 06510, USA.,Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, 06510, USA
| | - Joshua D Wallach
- Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, CT, 06510, USA.,Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, 06510, USA.,Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, 06510, USA
| | - Sanket S Dhruva
- Department of Medicine, University of California, San Francisco School of Medicine, San Francisco, CA, 94115, USA
| | - Gregg S Gonsalves
- Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, CT, 06510, USA.,Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06510, USA
| | - Joseph S Ross
- Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, CT, 06510, USA. .,Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, 06510, USA. .,Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, P.O. Box 208093, New Haven, CT, 06520, USA. .,Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, 06510, USA. .,National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06510, USA.
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24
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Affiliation(s)
- Alexander C Egilman
- Center for Outcomes Research and Evaluation, Yale-New Haven Health System, and the Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, Connecticut (A.C.E.)
| | - Audrey D Zhang
- New York University School of Medicine, New York, New York (A.D.Z.)
| | - Joshua D Wallach
- Yale School of Public Health and the Collaboration for Research Integrity and Transparency, Yale Law School, New Haven, Connecticut (J.D.W.)
| | - Joseph S Ross
- Yale School of Medicine, Yale School of Public Health, and the Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, Connecticut (J.S.R.)
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25
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Wallach JD, Egilman AC, Ross JS, Woloshin S, Schwartz LM. Timeliness of Postmarket Studies for New Pharmaceuticals Approved Between 2009 and 2012: a Cross-Sectional Analysis. J Gen Intern Med 2019; 34:492-495. [PMID: 30543020 PMCID: PMC6445841 DOI: 10.1007/s11606-018-4779-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Joshua D Wallach
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
- Collaboration for Research Integrity and Transparency, Yale School of Medicine, New Haven, CT, USA.
- Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, New Haven, CT, USA.
| | - Alexander C Egilman
- Collaboration for Research Integrity and Transparency, Yale School of Medicine, New Haven, CT, USA
- Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, New Haven, CT, USA
| | - Joseph S Ross
- Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, New Haven, CT, USA
- Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Steven Woloshin
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Lisa M Schwartz
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
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26
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Wallach JD, Egilman AC, Dhruva SS, McCarthy ME, Miller JE, Woloshin S, Schwartz LM, Ross JS. Postmarket studies required by the US Food and Drug Administration for new drugs and biologics approved between 2009 and 2012: cross sectional analysis. BMJ 2018; 361:k2031. [PMID: 29794072 PMCID: PMC5967364 DOI: 10.1136/bmj.k2031] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVES To characterize postmarketing requirements for new drugs and biologics approved by the US Food and Drug Administration (FDA), and to examine rates and timeliness of registration, results reporting, and publication of required prospective cohort studies, registries, and clinical trials. DESIGN Cross sectional analysis. SETTING Postmarketing requirements for all new drugs and biologics approved by the FDA between 1 January 2009 and 31 December 2012, with follow-up up to 15 November 2017. MAIN OUTCOME MEASURES Postmarketing requirements and their characteristics known at the time of FDA approval, including FDA authority, study design, and study characteristics. Rates and timeliness of registration and results reporting on ClinicalTrials.gov and publication in peer reviewed journals of required prospective cohort studies, registries, and clinical trials. RESULTS Between 2009 and 12, the FDA approved 97 new drugs and biologics for 106 indications with at least one postmarketing requirement at the time of first approval, for a total of 437 postmarketing requirements. Postmarket study descriptions were short (median word count 44 (interquartile range 29-71)) and often lacked information to determine an up to date progress (131 (30%)). 220 (50.3%) postmarketing requirements were for new animal or other studies (including pharmacokinetic studies); 134 (30.7%) were for prospective cohort studies, registries, and clinical trials; and 83 (19.0%) were for secondary analyses or follow-up studies. Of 110 clinical trials, 38 (34.5%), 44 (40.0%), 62 (56.4%), 66 (60.0%), and 98 (89.1%) did not report enough information to establish use of randomization, comparator type, allocation, outcome, and number of patients to be enrolled, respectively. Of 134 required prospective cohort studies, registries, and clinical trials, 102 (76.1%) were registered on ClinicalTrials.gov; of 50 registered and completed studies, 36 (72.0%) had reported results on ClinicalTrials.gov. Among 65 completed studies, 47 (72.3%) had either reported results or were published a median of 47 months (interquartile range 32-67) after FDA approval. 32 (68.1%) of these 47 studies did not report results publicly by the time of their original FDA report submission deadline. CONCLUSIONS Postmarketing requirements for new drugs and biologics were often briefly described and did not contain enough information to characterize study designs. Approximately three quarters of postmarketing requirements for prospective cohort studies, registries, and clinical trials were registered on ClinicalTrials.gov, and nearly three quarters of completed studies reported results or were published, suggesting that at least a quarter of these required studies are not being publicly disseminated.
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Affiliation(s)
- Joshua D Wallach
- Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, New Haven CT 06510, USA
- Collaboration for Research Integrity and Transparency (CRIT), Yale Law School, New Haven CT, USA
| | - Alexander C Egilman
- Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, New Haven CT 06510, USA
- Collaboration for Research Integrity and Transparency (CRIT), Yale Law School, New Haven CT, USA
| | - Sanket S Dhruva
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven CT, USA
- Veterans Affairs Connecticut Healthcare System, New Haven CT, USA
| | - Margaret E McCarthy
- Collaboration for Research Integrity and Transparency (CRIT), Yale Law School, New Haven CT, USA
| | - Jennifer E Miller
- Division of Medical Ethics, Department of Population Health, NYU School of Medicine and Bioethics International, New York NY, USA
| | - Steven Woloshin
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon NH, USA
| | - Lisa M Schwartz
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon NH, USA
| | - Joseph S Ross
- Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, New Haven CT 06510, USA
- National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven CT, USA
- Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven CT, USA
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27
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Egilman AC, Wallach JD, Ross JS, Dhruva SS. Medicare Spending and Potential Savings on Brand-Name Drugs With Available Generic Substitutes Excluded by 2 Large Pharmacy Benefit Managers, 2012 Through 2015. JAMA Intern Med 2018; 178:567-569. [PMID: 29340562 PMCID: PMC5876838 DOI: 10.1001/jamainternmed.2017.8016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
This study uses Medicare Part D drug utilization and spending data to estimate potential Part D program and beneficiary savings on brand-name medications excluded by pharmacy benefit managers for which generic substitutes are available.
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Affiliation(s)
- Alexander C Egilman
- Collaboration for Research Integrity and Transparency, Yale University, New Haven, Connecticut
| | - Joshua D Wallach
- Collaboration for Research Integrity and Transparency, Yale University, New Haven, Connecticut
| | - Joseph S Ross
- Collaboration for Research Integrity and Transparency, Yale University, New Haven, Connecticut.,Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Sanket S Dhruva
- Robert Wood Johnson Foundation Clinical Scholars Program, Veterans Affairs Connecticut Healthcare System, New Haven
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28
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Wallach JD, Egilman AC, Gopal AD, Swami N, Krumholz HM, Ross JS. Biomedical journal speed and efficiency: a cross-sectional pilot survey of author experiences. Res Integr Peer Rev 2018; 3:1. [PMID: 29451557 PMCID: PMC5803634 DOI: 10.1186/s41073-017-0045-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 12/12/2017] [Indexed: 11/12/2022] Open
Abstract
Background Although the peer review process is believed to ensure scientific rigor, enhance research quality, and improve manuscript clarity, many investigators are concerned that the process is too slow, too expensive, too unreliable, and too static. In this feasibility study, we sought to survey corresponding authors of recently published clinical research studies on the speed and efficiency of the publication process. Methods Web-based survey of corresponding authors of a 20% random sample of clinical research studies in MEDLINE-indexed journals with Ovid MEDLINE entry dates between December 1 and 15, 2016. Survey addressed perceived manuscript importance before first submission, approximate first submission and final acceptance dates, and total number of journal submissions, external peer reviews, external peer reviewers, and revisions requested, as well as whether authors would have considered publicly sharing their manuscript on an online platform instead of submitting to a peer-reviewed journal. Results Of 1780 surveys distributed, 27 corresponding authors opted out or requested that we stop emailing them and 149 emails failed (e.g., emails that bounced n = 64, returned with an away from office message n = 70, or were changed/incorrect n = 15), leaving 1604 respondents, of which 337 completed the survey (21.0%). Respondents and non-respondents were similar with respect to study type and publication journals’ impact factor, although non-respondent authors had more publications (p = 0.03). Among respondents, the median impact factor of the publications’ journal was 2.7 (interquartile range (IQR), 2.0–3.6) and corresponding authors’ median h-index and number of publications was 9 (IQR, 3–20) and 27 (IQR, 10–77), respectively. The median time from first submission to journal acceptance and publication was 5 months (IQR, 3–8) and 7 months (IQR, 5–12), respectively. Most respondents (62.0%, n = 209) rated the importance of their research as a 4 or 5 (5-point scale) prior to submission. Median number of journal submissions was 1 (IQR, 1–2), external peer reviews was 1 (IQR, 1–2), external peer reviewers was 3 (IQR, 2–4), and revisions requested was 1 (IQR, 1–1). Sharing manuscripts to a public online platform, instead of submitting to a peer-reviewed journal, would have been considered by 55.2% (n = 186) of respondents. Conclusion Corresponding authors have high perceptions of their research and reported requiring few manuscript submissions prior to journal acceptance, most commonly by lower impact factor journals. Electronic supplementary material The online version of this article (10.1186/s41073-017-0045-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Joshua D Wallach
- 1Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 1 Church Street, Suite 200, New Haven, CT 06520 USA.,2Collaboration for Research Integrity and Transparency, Yale Law School, 157 Church Street, 17th Floor, Suite 1, New Haven, CT 06520 USA
| | - Alexander C Egilman
- 1Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 1 Church Street, Suite 200, New Haven, CT 06520 USA.,2Collaboration for Research Integrity and Transparency, Yale Law School, 157 Church Street, 17th Floor, Suite 1, New Haven, CT 06520 USA
| | - Anand D Gopal
- 3Yale University School of Medicine, New Haven, CT USA
| | | | - Harlan M Krumholz
- 1Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 1 Church Street, Suite 200, New Haven, CT 06520 USA.,2Collaboration for Research Integrity and Transparency, Yale Law School, 157 Church Street, 17th Floor, Suite 1, New Haven, CT 06520 USA.,5Section of Cardiovascular Medicine and National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT USA.,6Department of Health Policy and Management, Yale School of Public Health, New Haven, CT USA
| | - Joseph S Ross
- 1Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 1 Church Street, Suite 200, New Haven, CT 06520 USA.,2Collaboration for Research Integrity and Transparency, Yale Law School, 157 Church Street, 17th Floor, Suite 1, New Haven, CT 06520 USA.,6Department of Health Policy and Management, Yale School of Public Health, New Haven, CT USA.,7Section of General Medicine and the National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT USA
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