Determining value of Coordinated Registry Networks (CRNs): a case of transcatheter valve therapies.

Coordinated Registry Networks TVT registry

Journal

BMJ surgery, interventions, & health technologies
ISSN: 2631-4940
Titre abrégé: BMJ Surg Interv Health Technol
Pays: England
ID NLM: 101764673

Informations de publication

Date de publication:
2019
Historique:
received: 19 03 2019
accepted: 24 04 2019
entrez: 20 1 2022
pubmed: 4 7 2019
medline: 4 7 2019
Statut: epublish

Résumé

The Transcatheter Valve Therapy (TVT) Coordinated Registry Network (CRN) supported 23 regulatory decisions and ensured evidence-based evaluation of the application of TVT technology. However, there are cost concerns that require value assessment of the TVT CRN compared with traditional study designs. We aimed to determine the value created by the TVT CRN based on (1) Return on investment (ROI), (2) Time saved (TS) in conducting necessary regulatory studies. For both ROI and TS analyses, we compared studies that used the TVT CRN with those that would have been required if the registry did not exist (counterfactual studies). To estimate ROI, we accounted for the costs of investment and gain from investment. Both the counterfactual costs and length of studies were projected using design specifications determined by US Food and Drug Administration (FDA) reviewers. We identified 21 studies using the TVT CRN (supporting 23 FDA decisions) that generated evidence on TVT for three device manufacturers. ROI is estimated to be greater than 550%. TS by using the CRN ranged from months to years. The CRN method to evidence generation creates value for manufacturers and the broader device ecosystem, demonstrated with this example of the TVT CRN. The public health benefits of evidence created by this CRN outweighs the difference in data quality between traditional clinical studies and the CRN method.

Sections du résumé

BACKGROUND BACKGROUND
The Transcatheter Valve Therapy (TVT) Coordinated Registry Network (CRN) supported 23 regulatory decisions and ensured evidence-based evaluation of the application of TVT technology. However, there are cost concerns that require value assessment of the TVT CRN compared with traditional study designs.
OBJECTIVES OBJECTIVE
We aimed to determine the value created by the TVT CRN based on (1) Return on investment (ROI), (2) Time saved (TS) in conducting necessary regulatory studies.
METHODS METHODS
For both ROI and TS analyses, we compared studies that used the TVT CRN with those that would have been required if the registry did not exist (counterfactual studies). To estimate ROI, we accounted for the costs of investment and gain from investment. Both the counterfactual costs and length of studies were projected using design specifications determined by US Food and Drug Administration (FDA) reviewers.
RESULTS RESULTS
We identified 21 studies using the TVT CRN (supporting 23 FDA decisions) that generated evidence on TVT for three device manufacturers. ROI is estimated to be greater than 550%. TS by using the CRN ranged from months to years.
CONCLUSIONS CONCLUSIONS
The CRN method to evidence generation creates value for manufacturers and the broader device ecosystem, demonstrated with this example of the TVT CRN. The public health benefits of evidence created by this CRN outweighs the difference in data quality between traditional clinical studies and the CRN method.

Identifiants

pubmed: 35047771
doi: 10.1136/bmjsit-2019-000003
pii: bmjsit-2019-000003
pmc: PMC8749335
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e000003

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Gregory Pappas (G)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Jesse Berlin (J)

Pharmacoepidemiology, Johnson and Johnson Services Inc, New Brunswick, New Jersey, USA.

Erika Avila-Tang (E)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

John Carroll (J)

Interventional Cardiology, University of Colorado Denver, Denver, Colorado, USA.

Joseph Drozda (J)

Mercy Health, Chesterfield, Missouri, USA.

Douglas Dumont (D)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Thomas Gross (T)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Kathleen Hewitt (K)

American College of Cardiology, Washington, District of Columbia, USA.

Ajay Kirtane (A)

Cardiovascular Research Foundation, Columbia University / New York-Presbyterian Hospital, New York City, New York, USA.

David Kong (D)

Duke Clinical Research Institute, Durham, North Carolina, USA.

Mitchell Krucoff (M)

Duke Clinical Research Institute, Durham, North Carolina, USA.

John Lashinger (J)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Nellie Lew (N)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Michael Mack (M)

Baylor Scott & White Health, Dallas, Texas, USA.

Fred Masoudi (F)

Interventional Cardiology, University of Colorado Denver, Denver, Colorado, USA.

Danica Marinac-Dabic (D)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Roxanna Mehran (R)

Cardiovascular Research Foundation, Columbia University / New York-Presbyterian Hospital, New York City, New York, USA.

Sharon-Lise Normand (SL)

Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.

Elizabeth Quin (E)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Fred Resnic (F)

Division of Cardiovascular Medicine, Lahey Hospital and Medical Center and Tufts University School of Medicine, Boston, Massachusetts, USA.

Art Sedrakyan (A)

Healthcare Policy and Research, Weill Cornell Medical College, New York, New York, USA.

Ronald Waksman (R)

American College of Cardiology, Washington, District of Columbia, USA.

Larry Wood (L)

American College of Cardiology, Washington, District of Columbia, USA.

Changfu Wu (C)

Food and Drug Administration, Department of Health and Human Services, Silver Spring, Maryland, USA.

Tianay Ziegler (T)

Princeton University, Princeton, New Jersey, USA.

Classifications MeSH