Literature DB >> 21156752

Database recruitment: a solution to poor recruitment in randomized trials?

Tracy Stuardi1, Helen Cox, David J Torgerson.   

Abstract

BACKGROUND: Achieving sample size is imperative to obtaining sufficient power to detect potential effects in health care research, yet many research studies are prone to under-recruitment. Not only does this create problems with power but also it contributes to research extensions, additional costs and delayed results. To combat this problem, one increasingly used technique is database recruitment, a method of searching the electronic medical records system for potential research participants.
OBJECTIVE: We discuss the advantages and disadvantages of identifying potential research participants using database recruitment with particular reference to primary care.
CONCLUSION: Database recruitment is a relatively simple and affordable means to recruit large numbers of patients in a timely manner; however, it is not without limitations.

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Year:  2010        PMID: 21156752     DOI: 10.1093/fampra/cmq108

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  9 in total

1.  Unlocking the research potential of the GP electronic care record.

Authors:  Paul Wallace; Brendan Delaney; Frank Sullivan
Journal:  Br J Gen Pract       Date:  2013-06       Impact factor: 5.386

2.  Recruitment of veterans from primary care into a physical activity randomized controlled trial: the experience of the VA-STRIDE study.

Authors:  Marquis S Hawkins; Linda J Hough; Marie A Berger; Maria K Mor; Ann R Steenkiste; Shasha Gao; Roslyn A Stone; Kelly H Burkitt; Bess H Marcus; Joseph T Ciccolo; Andrea M Kriska; Deborah T Klinvex; Mary A Sevick
Journal:  Trials       Date:  2014-01-07       Impact factor: 2.279

3.  Developing a new model for patient recruitment in mental health services: a cohort study using Electronic Health Records.

Authors:  Felicity Callard; Matthew Broadbent; Mike Denis; Matthew Hotopf; Murat Soncul; Til Wykes; Simon Lovestone; Robert Stewart
Journal:  BMJ Open       Date:  2014-12-02       Impact factor: 2.692

4.  Projection of participant recruitment to primary care research: a qualitative study.

Authors:  David White; Daniel Hind
Journal:  Trials       Date:  2015-10-20       Impact factor: 2.279

5.  A preventative lifestyle intervention for older adults (lifestyle matters): a randomised controlled trial.

Authors:  Gail Mountain; Gill Windle; Daniel Hind; Stephen Walters; Anju Keertharuth; Robin Chatters; Kirsty Sprange; Claire Craig; Sarah Cook; Ellen Lee; Tim Chater; R Woods; Louise Newbould; Lauren Powell; Katy Shortland; Jennifer Roberts
Journal:  Age Ageing       Date:  2017-07-01       Impact factor: 10.668

Review 6.  Recruitment and retention of participants in randomised controlled trials: a review of trials funded and published by the United Kingdom Health Technology Assessment Programme.

Authors:  Stephen J Walters; Inês Bonacho Dos Anjos Henriques-Cadby; Oscar Bortolami; Laura Flight; Daniel Hind; Richard M Jacques; Christopher Knox; Ben Nadin; Joanne Rothwell; Michael Surtees; Steven A Julious
Journal:  BMJ Open       Date:  2017-03-20       Impact factor: 2.692

7.  Using pens as an incentive for trial recruitment of older adults: An embedded randomised controlled trial.

Authors:  Katie Whiteside; Lydia Flett; Alex Mitchell; Caroline Fairhurst; Sarah Cockayne; Sara Rodgers; David Torgerson
Journal:  F1000Res       Date:  2019-03-21

Review 8.  Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map.

Authors:  Geoff K Frampton; Jonathan Shepherd; Karen Pickett; Gareth Griffiths; Jeremy C Wyatt
Journal:  Trials       Date:  2020-06-05       Impact factor: 2.279

9.  Recruitment of older adults to three preventative lifestyle improvement studies.

Authors:  Robin Chatters; Louise Newbould; Kirsty Sprange; Daniel Hind; Gail Mountain; Katy Shortland; Lauren Powell; Rebecca Gossage-Worrall; Tim Chater; Anju Keetharuth; Ellen Lee; Bob Woods
Journal:  Trials       Date:  2018-02-20       Impact factor: 2.279

  9 in total

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