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Open Peer Review

This article has Open Peer Review reports available.

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Development and description of measurement properties of an instrument to assess treatment burden among patients with multiple chronic conditions

  • Viet-Thi Tran1, 2,
  • Victor M Montori3,
  • David T Eton3,
  • Dan Baruch4,
  • Bruno Falissard5, 6 and
  • Philippe Ravaud1, 2, 7Email author
BMC Medicine201210:68

https://doi.org/10.1186/1741-7015-10-68

Received: 13 January 2012

Accepted: 4 July 2012

Published: 4 July 2012

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
13 Jan 2012 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Author responded Author comments
Reviewed Reviewer Report
Reviewed Reviewer Report
Resubmission - Version 3
Submitted Manuscript version 3
Author responded Author comments
Resubmission - Version 4
Submitted Manuscript version 4
Author responded Author comments
Resubmission - Version 5
Submitted Manuscript version 5
Publishing
4 Jul 2012 Editorially accepted
4 Jul 2012 Article published 10.1186/1741-7015-10-68

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Faculté de Médecine, Université Paris Descartes
(2)
INSERM U738
(3)
Division of Health Care and Policy Research, Department of Health Sciences Research and Knowledge and Evaluation Research Unit, Mayo Clinic
(4)
Faculté de Médecine, Université Paris Denis-Diderot
(5)
INSERM U669
(6)
Université Paris Sud
(7)
Department of Epidemiology, Columbia University Mailman School of Public Health

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