Literature DB >> 19365056

Boosting enrollment in neurology trials with Local Identification and Outreach Networks (LIONs).

W N Kernan1, C M Viscoli, D Demarco, B Mendes, K Shrauger, J L Schindler, J C McVeety, A Sicklick, D Moalli, P Greco, D M Bravata, S Eisen, L Resor, K Sena, D Story, L M Brass, K L Furie, L Gutmann, E Hinnau, M Gorman, A M Lovejoy, S E Inzucchi, L H Young, R I Horwitz.   

Abstract

OBJECTIVE: Our purpose was to develop a geographically localized, multi-institution strategy for improving enrolment in a trial of secondary stroke prevention.
METHODS: We invited 11 Connecticut hospitals to participate in a project named the Local Identification and Outreach Network (LION). Each hospital provided the names of patients with stroke or TIA, identified from electronic admission or discharge logs, to researchers at a central coordinating center. After obtaining permission from personal physicians, researchers contacted each patient to describe the study, screen for eligibility, and set up a home visit for consent. Researchers traveled throughout the state to enroll and follow participants. Outside the LION, investigators identified trial participants using conventional recruitment strategies. We compared recruitment success for the LION and other sites using data from January 1, 2005, through June 30, 2007.
RESULTS: The average monthly randomization rate from the LION was 4.0 participants, compared with 0.46 at 104 other Insulin Resistance Intervention after Stroke (IRIS) sites. The LION randomized on average 1.52/1,000 beds/month, compared with 0.76/1,000 beds/month at other IRIS sites (p = 0.03). The average cost to randomize and follow one participant was $8,697 for the LION, compared with $7,198 for other sites.
CONCLUSION: A geographically based network of institutions, served by a central coordinating center, randomized substantially more patients per month compared with sites outside of the network. The high enrollment rate was a result of surveillance at multiple institutions and greater productivity at each institution. Although the cost per patient was higher for the network, compared with nonnetwork sites, cost savings could result from more rapid completion of research.

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Year:  2009        PMID: 19365056      PMCID: PMC2677492          DOI: 10.1212/WNL.0b013e3181a0fda3

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  8 in total

1.  Medical privacy and medical research--judging the new federal regulations.

Authors:  George J Annas
Journal:  N Engl J Med       Date:  2002-01-17       Impact factor: 91.245

2.  Carotid artery stenting: meeting the recruitment challenge of a clinical trial.

Authors:  Robert W Hobson; Thomas G Brott; Gary S Roubin; Frank L Silver; Henry J M Barnett
Journal:  Stroke       Date:  2005-04-28       Impact factor: 7.914

3.  Recruiting subjects for acute stroke trials: a meta-analysis.

Authors:  Jacob S Elkins; Talayeh Khatabi; Lawrence Fung; John Rootenberg; S Claiborne Johnston
Journal:  Stroke       Date:  2005-12-01       Impact factor: 7.914

4.  A clinical trial of estrogen-replacement therapy after ischemic stroke.

Authors:  C M Viscoli; L M Brass; W N Kernan; P M Sarrel; S Suissa; R I Horwitz
Journal:  N Engl J Med       Date:  2001-10-25       Impact factor: 91.245

Review 5.  Recruitment experience in clinical trials: literature summary and annotated bibliography.

Authors:  D B Hunninghake; C A Darby; J L Probstfield
Journal:  Control Clin Trials       Date:  1987-12

6.  Effect of a clinical trial alert system on physician participation in trial recruitment.

Authors:  Peter J Embi; Anil Jain; Jeffrey Clark; Susan Bizjack; Richard Hornung; C Martin Harris
Journal:  Arch Intern Med       Date:  2005-10-24

7.  Phenylpropanolamine and the risk of hemorrhagic stroke.

Authors:  W N Kernan; C M Viscoli; L M Brass; J P Broderick; T Brott; E Feldmann; L B Morgenstern; J L Wilterdink; R I Horwitz
Journal:  N Engl J Med       Date:  2000-12-21       Impact factor: 91.245

8.  NINDS clinical trials in stroke: lessons learned and future directions.

Authors:  John R Marler
Journal:  Stroke       Date:  2007-10-25       Impact factor: 7.914

  8 in total
  5 in total

1.  Surpassing the Target: How a Recruitment Campaign Transformed the Participant Accrual Trajectory in the Epilepsy Phenome/Genome Project.

Authors:  Kathleen McGovern; Catharine Freyer Karn; Kristen Fox
Journal:  Clin Transl Sci       Date:  2015-07-14       Impact factor: 4.689

2.  Boosting enrolment in clinical trials: validation of a regional network model.

Authors:  W Kernan; C Viscoli; L Brass; M Amatangelo; A Birch; W Clark; R Conwit; K Furie; M Gorman; B Pesapane; D Kleindorfer; A Lovejoy; J Osborne; S Silliman; R Zweifler; R Horwitz
Journal:  Clin Trials       Date:  2011-08-08       Impact factor: 2.486

3.  Racial differences in the association of insulin resistance with stroke risk: the REasons for Geographic And Racial Differences in Stroke (REGARDS) study.

Authors:  George Howard; Lynne E Wagenknecht; Walter N Kernan; Mary Cushman; Evan L Thacker; Suzanne E Judd; Virginia J Howard; Brett M Kissela
Journal:  Stroke       Date:  2014-06-26       Impact factor: 7.914

Review 4.  Strategies to improve recruitment to randomised trials.

Authors:  Shaun Treweek; Marie Pitkethly; Jonathan Cook; Cynthia Fraser; Elizabeth Mitchell; Frank Sullivan; Catherine Jackson; Tyna K Taskila; Heidi Gardner
Journal:  Cochrane Database Syst Rev       Date:  2018-02-22

5.  A systematic review of non-randomised evaluations of strategies to improve participant recruitment to randomised controlled trials.

Authors:  Heidi R Gardner; Loai Albarquoni; Adel El Feky; Katie Gillies; Shaun Treweek
Journal:  F1000Res       Date:  2020-02-05
  5 in total

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