Generated by GPT-5-mini| MAUDE database | |
|---|---|
| Name | MAUDE database |
| Established | 1991 |
| Maintained by | Food and Drug Administration |
| Country | United States |
| Languages | English |
| Discipline | Medical device surveillance |
MAUDE database
The MAUDE database is a United States regulatory system for postmarket adverse event reports concerning medical devices. It collects voluntary and mandatory reports submitted by manufacturers, importers, user facilities, clinical sites, and individual reporters to the Food and Drug Administration; the dataset is used by stakeholders ranging from manufacturers such as Medtronic and Johnson & Johnson to hospitals like Mayo Clinic and Cleveland Clinic, and to regulatory partners including Centers for Medicare and Medicaid Services and Centers for Disease Control and Prevention. Researchers at institutions such as Johns Hopkins University, Harvard Medical School, Stanford University, Massachusetts Institute of Technology, and University of California, San Francisco analyze MAUDE-derived signals alongside databases like PubMed and registries from European Medicines Agency and Health Canada.
MAUDE serves as a national repository for adverse event reports related to devices cleared by Food and Drug Administration centers including Center for Devices and Radiological Health and interfaces with stakeholders such as medical device manufacturers, patient advocacy groups like American Heart Association, professional societies such as American College of Surgeons, and clinical trial sites at institutions like Brigham and Women's Hospital and Karolinska Institutet. The database contains narrative reports, device problem codes, event dates, and reporter types; it is queried by safety officers at Boston Scientific, engineers at Stryker Corporation, and epidemiologists at National Institutes of Health for signal detection.
MAUDE originated in response to adverse device events in the late 20th century and was instituted as part of postmarket surveillance reforms overseen by the Food and Drug Administration and legislative frameworks influenced by policy debates in the United States Congress. Early development involved collaborations between federal agencies such as National Institutes of Health and Agency for Healthcare Research and Quality and industry stakeholders including GE Healthcare and Siemens Healthineers. Over time, enhancements drew on informatics work at MIT, safety science from Johns Hopkins Bloomberg School of Public Health, and reporting standards tested by professional groups like American Medical Association and Association for the Advancement of Medical Instrumentation.
MAUDE stores discrete fields and free-text narratives covering device identifiers (e.g., model, lot), event descriptions, patient outcomes, and manufacturer analyses. Its data schema reflects coding approaches from suppliers like BD (Becton, Dickinson and Company and regulatory taxonomy influenced by international bodies such as World Health Organization and regional regulators like European Medicines Agency. Report types include mandatory reports from manufacturers such as Abbott Laboratories and user facility reports from hospitals like Mount Sinai Health System; the entries often reference devices used in procedures at centers such as Johns Hopkins Hospital, Mayo Clinic, or UCSF Medical Center. Data structure enables linking to Safety Communications issued by Food and Drug Administration and to recalls catalogued in agency databases.
Public access to MAUDE is provided through searchable interfaces and downloadable datasets; analysts from Harvard T.H. Chan School of Public Health, policy staff at The Brookings Institution, and consultants at firms like McKinsey & Company and IQVIA utilize exports to perform signal detection, trend analysis, and risk assessments. Clinicians at Cleveland Clinic and Mount Sinai Hospital consult MAUDE when assessing device performance, while legal teams at firms such as Quinn Emanuel and Kirkland & Ellis review reports when preparing litigation or settlements. Public health officials at Centers for Disease Control and Prevention and researchers at University of Pennsylvania integrate MAUDE observations with electronic health record studies from systems like Epic Systems and Cerner Corporation.
Critiques of MAUDE have focused on issues raised by academics at Yale School of Medicine, Columbia University Medical Center, and University of Michigan: underreporting of events, duplicate entries, incomplete narratives, and inconsistent coding. Device manufacturers such as Medtronic and Boston Scientific and clinical sites including Hospital of the University of Pennsylvania have differing reporting practices, complicating signal interpretation. Methodologists from RAND Corporation and Pew Charitable Trusts have highlighted the difficulty of deriving incidence rates without denominator data from sources like Centers for Medicare and Medicaid Services claims or registries maintained by Society of Thoracic Surgeons. Patient advocates associated with PatientsLikeMe and National Patient Safety Foundation argue for improved transparency and standardized reporting formats akin to initiatives by International Medical Device Regulators Forum.
Despite limitations, MAUDE has informed safety communications and recalls by the Food and Drug Administration and influenced corrective actions at manufacturers such as Johnson & Johnson, Abbott Laboratories, and Stryker Corporation. Investigative journalists at ProPublica and The New York Times have used MAUDE to report on device-related harms, while academic studies in journals like The Lancet, New England Journal of Medicine, and JAMA have used MAUDE data for hypothesis generation and case series. Public health agencies including Centers for Disease Control and Prevention and hospital quality departments at Mayo Clinic rely on MAUDE inputs when designing postmarket surveillance strategies and device registries at organizations like Society of Interventional Radiology and American College of Cardiology.
Category:Medical device surveillance