Literature DB >> 21347102

Comparing the effectiveness of a clinical registry and a clinical data warehouse for supporting clinical trial recruitment: a case study.

Chunhua Weng1, J Thomas Bigger, Linda Busacca, Adam Wilcox, Asqual Getaneh.   

Abstract

This paper reports a case study comparing the relative efficiency of using a Diabetes Registry or a Clinical Data Warehouse to recruit participants for a diabetes clinical trial, TECOS. The Clinical Data Warehouse generated higher positive predictive accuracy (31% vs. 6.6%) and higher participant recruitment than the Registry (30 vs. 14 participants) in a shorter time period (59 vs. 74 working days). We identify important factors that increase clinical trial recruitment efficiency and lower cost.

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Year:  2010        PMID: 21347102      PMCID: PMC3041383     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  3 in total

Review 1.  Generic data modeling for clinical repositories.

Authors:  S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1996 Sep-Oct       Impact factor: 4.497

2.  A "fundamental theorem" of biomedical informatics.

Authors:  Charles P Friedman
Journal:  J Am Med Inform Assoc       Date:  2008-12-11       Impact factor: 4.497

3.  Electronic screening improves efficiency in clinical trial recruitment.

Authors:  Samir R Thadani; Chunhua Weng; J Thomas Bigger; John F Ennever; David Wajngurt
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

  3 in total
  15 in total

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2.  A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.

Authors:  C Weng; Y Li; P Ryan; Y Zhang; F Liu; J Gao; J T Bigger; G Hripcsak
Journal:  Appl Clin Inform       Date:  2014-05-07       Impact factor: 2.342

3.  A real-time screening alert improves patient recruitment efficiency.

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Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 4.  Nutritional metabolomics: progress in addressing complexity in diet and health.

Authors:  Dean P Jones; Youngja Park; Thomas R Ziegler
Journal:  Annu Rev Nutr       Date:  2012-04-23       Impact factor: 11.848

5.  Using registries to recruit subjects for clinical trials.

Authors:  Meng H Tan; Matthew Thomas; Mark P MacEachern
Journal:  Contemp Clin Trials       Date:  2014-12-26       Impact factor: 2.226

6.  Clinical use of an enterprise data warehouse.

Authors:  R Scott Evans; James F Lloyd; Lee A Pierce
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

7.  Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials.

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Journal:  J Am Med Inform Assoc       Date:  2015-03-13       Impact factor: 4.497

Review 8.  Do GLP-1-based therapies increase cancer risk?

Authors:  Michael A Nauck; Nele Friedrich
Journal:  Diabetes Care       Date:  2013-08       Impact factor: 19.112

9.  Participant-Centric Initiatives: Tools to Facilitate Engagement In Research.

Authors:  Nicholas Anderson; Caleb Bragg; Andrea Hartzler; Kelly Edwards
Journal:  Appl Transl Genom       Date:  2012-12-01

10.  Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data.

Authors:  Felix Köpcke; Dorota Lubgan; Rainer Fietkau; Axel Scholler; Carla Nau; Michael Stürzl; Roland Croner; Hans-Ulrich Prokosch; Dennis Toddenroth
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