The Potential Role of Individual-Level Benefit-Risk Assessment in Treatment Decision Making: A DIA Study Endpoints Community Workstream.

benefit-risk clinical outcome assessments patient preference patient-centricity patient-reported outcomes

Journal

Therapeutic innovation & regulatory science
ISSN: 2168-4804
Titre abrégé: Ther Innov Regul Sci
Pays: Switzerland
ID NLM: 101597411

Informations de publication

Date de publication:
09 2019
Historique:
pubmed: 24 10 2018
medline: 19 3 2020
entrez: 24 10 2018
Statut: ppublish

Résumé

Benefit-risk assessment is the cornerstone of decision making in medical care, playing a critical role in bringing treatments to market by informing decisions regarding drug development, licensing and reimbursement, and informing treatment decisions made by health care professionals and patients in clinical practice. In regulatory approval decision making, benefit and risk attributes are identified and defined based on available, aggregated clinical data from registration trials. In the context of major developments in recent years for involvement of patients as partners in all phases of drug development and in health care improvement, decision makers increasingly recognize the importance of informing treatment decisions by patient needs, values, experiences, and preferences. Using this as a basis, a DIA workstream was convened to explore the potential of individual-level benefit-risk assessment as a supplement to traditional group-level benefit-risk assessment for evaluating treatment. Various approaches as to how this information could be collected, including via patient-reported outcome measures, open-ended questioning, and stated-preference methods are presented. The utility of this information for various stakeholders is discussed.

Identifiants

pubmed: 30348019
doi: 10.1177/2168479018807448
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

630-638

Auteurs

Matthew Reaney (M)

1 Sanofi, Guildford, United Kingdom.
2 University of Chichester, Chichester, United Kingdom.

Elizabeth Bush (E)

3 Eli Lilly and Company, Indianapolis, IN, USA.

Mary New (M)

4 IQVIA, Reading, United Kingdom.

Jean Paty (J)

5 IQVIA, New York, NY, USA.

Aude Roborel de Climens (A)

6 Sanofi, Lyon, France.

Soren E Skovlund (SE)

7 Steno Diabetes Center North Jutland, Aalborg University Hospital, Aalborg, Denmark.
8 Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Linda Nelsen (L)

9 GlaxoSmithKline, Collegeville, PA, USA.

Emuella Flood (E)

10 ICON plc, Gaithersburg, MD, USA.

Adam Gater (A)

11 Adelphi Values, Macclesfield, United Kingdom.

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Classifications MeSH