Literature DB >> 22030567

Comparative-effectiveness research in distributed health data networks.

S Toh1, R Platt, J F Steiner, J S Brown.   

Abstract

Comparative-effectiveness research (CER) can be conducted within a distributed health data network. Such networks allow secure access to separate data sets from different data partners and overcome many practical obstacles related to patient privacy, data security, and proprietary concerns. A scalable network architecture supports a wide range of CER activities and meets the data infrastructure needs envisioned by the Federal Coordinating Council for Comparative Effectiveness Research.

Entities:  

Mesh：

Year:  2011        PMID： 22030567     DOI： 10.1038/clpt.2011.236

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN： 0009-9236            Impact factor:   6.875


  28 in total

Review 1.  Electronic medical records as a tool in clinical pharmacology: opportunities and challenges.

Authors:  D M Roden; H Xu; J C Denny; R A Wilke
Journal:  Clin Pharmacol Ther       Date:  2012-06       Impact factor: 6.875

2.  Toward an Information Infrastructure for Global Health Improvement.

Authors:  C P Friedman; J C Rubin; K J Sullivan
Journal:  Yearb Med Inform       Date:  2017-09-11

3.  Orphan therapies: making best use of postmarket data.

Authors:  Judith C Maro; Jeffrey S Brown; Gerald J Dal Pan; Lingling Li
Journal:  J Gen Intern Med       Date:  2014-08       Impact factor: 5.128

Review 4.  Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.

Authors:  John H Holmes; Thomas E Elliott; Jeffrey S Brown; Marsha A Raebel; Arthur Davidson; Andrew F Nelson; Annie Chung; Pierre La Chance; John F Steiner
Journal:  J Am Med Inform Assoc       Date:  2014-03-28       Impact factor: 4.497

5.  Data quality assessment for comparative effectiveness research in distributed data networks.

Authors:  Jeffrey S Brown; Michael Kahn; Sengwee Toh
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

6.  A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data.

Authors:  Dean F Sittig; Brian L Hazlehurst; Jeffrey Brown; Shawn Murphy; Marc Rosenman; Peter Tarczy-Hornoch; Adam B Wilcox
Journal:  Med Care       Date:  2012-07       Impact factor: 2.983

Review 7.  Analytic and Data Sharing Options in Real-World Multidatabase Studies of Comparative Effectiveness and Safety of Medical Products.

Authors:  Sengwee Toh
Journal:  Clin Pharmacol Ther       Date:  2020-01-24       Impact factor: 6.875

8.  Validity of Privacy-Protecting Analytical Methods That Use Only Aggregate-Level Information to Conduct Multivariable-Adjusted Analysis in Distributed Data Networks.

Authors:  Xiaojuan Li; Bruce H Fireman; Jeffrey R Curtis; David E Arterburn; David P Fisher; Érick Moyneur; Mia Gallagher; Marsha A Raebel; W Benjamin Nowell; Lindsay Lagreid; Sengwee Toh
Journal:  Am J Epidemiol       Date:  2019-04-01       Impact factor: 4.897

9.  Stakeholders' views on data sharing in multicenter studies.

Authors:  Kathleen M Mazor; Allison Richards; Mia Gallagher; David E Arterburn; Marsha A Raebel; W Benjamin Nowell; Jeffrey R Curtis; Andrea R Paolino; Sengwee Toh
Journal:  J Comp Eff Res       Date:  2017-08-14       Impact factor: 1.744

10.  Inverse probability weighted Cox model in multi-site studies without sharing individual-level data.

Authors:  Di Shu; Kazuki Yoshida; Bruce H Fireman; Sengwee Toh
Journal:  Stat Methods Med Res       Date:  2019-08-26       Impact factor: 3.021
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