Challenges for Optimizing Real-World Evidence in Alzheimer’s Disease: The ROADMAP Project

The ROADMAP Consortium

doi:10.3233/JAD-180370

Challenges for Optimizing Real-World Evidence in Alzheimer’s Disease: The ROADMAP Project

The ROADMAP Consortium

Bristol Medical School (PHS)

Research output: Contribution to journal › Article (Academic Journal) › peer-review

18 Citations (Scopus)

400 Downloads (Pure)

Abstract

ROADMAP is a public-private advisory partnership to evaluate the usability of multiple data sources, including real-world evidence, in the decision-making process for new treatments in Alzheimer’s disease, and to advance key concepts in disease and pharmacoeconomic modeling. ROADMAP identified key disease and patient outcomes for stakeholders to make informed funding and treatment decisions, provided advice on data integration methods and standards, and developed conceptual cost-effectiveness and disease models designed in part to assess whether early treatment provides long-term benefit.

Original language	English
Pages (from-to)	495-501
Number of pages	7
Journal	Journal of Alzheimer's Disease
Volume	67
Issue number	2
DOIs	https://doi.org/10.3233/JAD-180370
Publication status	Published - 22 Jan 2019

Keywords

Alzheimer’s disease
data sharing
data systems
health policy
patient outcome assessment
real-world clinical trialsq
systems integration

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10.3233/JAD-180370

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This is the final published version of the article (version of record). It first appeared online via IOP Press at https://content.iospress.com/articles/journal-of-alzheimers-disease/jad180370. Please refer to any applicable terms of use of the publisher.
Final published version, 139 KBLicence: CC BY-NC
Supplementary information PDF
This is the final published version of the article (version of record). It first appeared online via IOP Press at https://content.iospress.com/articles/journal-of-alzheimers-disease/jad180370. Please refer to any applicable terms of use of the publisher.
Final published version, 176 KBLicence: CC BY-NC

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@article{935aebd6169e4c96bc3e1b008e90a3df,

title = "Challenges for Optimizing Real-World Evidence in Alzheimer{\textquoteright}s Disease: The ROADMAP Project",

abstract = "ROADMAP is a public-private advisory partnership to evaluate the usability of multiple data sources, including real-world evidence, in the decision-making process for new treatments in Alzheimer{\textquoteright}s disease, and to advance key concepts in disease and pharmacoeconomic modeling. ROADMAP identified key disease and patient outcomes for stakeholders to make informed funding and treatment decisions, provided advice on data integration methods and standards, and developed conceptual cost-effectiveness and disease models designed in part to assess whether early treatment provides long-term benefit.",

keywords = "Alzheimer{\textquoteright}s disease, data sharing, data systems, health policy, patient outcome assessment, real-world clinical trialsq, systems integration",

author = "John Gallacher and {de Reydet de Vulpillieres}, Frederic and Billy Amzal and Zuzanna Angehrn and Christin Bexelius and Christophe Bintener and Bouvy, {Jacoline C.} and Laura Campo and Carlos Diaz and Jean Georges and Alastair Gray and Antje Hottgenroth and Pall Jonsson and Brent Mittelstadt and Potashman, {Michele H.} and Catherine Reed and Cathie Sudlow and Robin Thompson and Antje Tockhorn-Heidenreich and Andrew Turner and {van der Lei}, Johan and Visser, {Pieter Jelle} and {The ROADMAP Consortium}",

year = "2019",

month = jan,

day = "22",

doi = "10.3233/JAD-180370",

language = "English",

volume = "67",

pages = "495--501",

journal = "Journal of Alzheimer's Disease",

issn = "1387-2877",

publisher = "IOS Press",

number = "2",

}

TY - JOUR

T1 - Challenges for Optimizing Real-World Evidence in Alzheimer’s Disease

T2 - The ROADMAP Project

AU - Gallacher, John

AU - de Reydet de Vulpillieres, Frederic

AU - Amzal, Billy

AU - Angehrn, Zuzanna

AU - Bexelius, Christin

AU - Bintener, Christophe

AU - Bouvy, Jacoline C.

AU - Campo, Laura

AU - Diaz, Carlos

AU - Georges, Jean

AU - Gray, Alastair

AU - Hottgenroth, Antje

AU - Jonsson, Pall

AU - Mittelstadt, Brent

AU - Potashman, Michele H.

AU - Reed, Catherine

AU - Sudlow, Cathie

AU - Thompson, Robin

AU - Tockhorn-Heidenreich, Antje

AU - Turner, Andrew

AU - van der Lei, Johan

AU - Visser, Pieter Jelle

AU - The ROADMAP Consortium

PY - 2019/1/22

Y1 - 2019/1/22

N2 - ROADMAP is a public-private advisory partnership to evaluate the usability of multiple data sources, including real-world evidence, in the decision-making process for new treatments in Alzheimer’s disease, and to advance key concepts in disease and pharmacoeconomic modeling. ROADMAP identified key disease and patient outcomes for stakeholders to make informed funding and treatment decisions, provided advice on data integration methods and standards, and developed conceptual cost-effectiveness and disease models designed in part to assess whether early treatment provides long-term benefit.

AB - ROADMAP is a public-private advisory partnership to evaluate the usability of multiple data sources, including real-world evidence, in the decision-making process for new treatments in Alzheimer’s disease, and to advance key concepts in disease and pharmacoeconomic modeling. ROADMAP identified key disease and patient outcomes for stakeholders to make informed funding and treatment decisions, provided advice on data integration methods and standards, and developed conceptual cost-effectiveness and disease models designed in part to assess whether early treatment provides long-term benefit.

KW - Alzheimer’s disease

KW - data sharing

KW - data systems

KW - health policy

KW - patient outcome assessment

KW - real-world clinical trialsq

KW - systems integration

U2 - 10.3233/JAD-180370

DO - 10.3233/JAD-180370

M3 - Article (Academic Journal)

C2 - 30584137

VL - 67

SP - 495

EP - 501

JO - Journal of Alzheimer's Disease

JF - Journal of Alzheimer's Disease

SN - 1387-2877

IS - 2

ER -

Challenges for Optimizing Real-World Evidence in Alzheimer’s Disease: The ROADMAP Project

Abstract

Keywords

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