Literature DB >> 19604741

Use of a patient linked data warehouse to facilitate diabetes trial recruitment from primary care.

C J Brooks1, J W Stephens, D E Price, D V Ford, R A Lyons, S L Prior, S C Bain.   

Abstract

Recruitment into clinical trials from primary care may be difficult. Our aim was to use the Secure Anonymised Information Linkage (SAIL) databank to identify potential participants for two factitious trials. We identified 284 and 711 participants for each study (population=250,086). This method appears promising in identifying trial participants.

Entities:  

Mesh：

Year:  2009        PMID： 19604741     DOI： 10.1016/j.pcd.2009.06.004

Source DB:  PubMed          Journal:  Prim Care Diabetes        ISSN： 1878-0210            Impact factor:   2.459


  12 in total

1.  The design and implementation of an open-source, data-driven cohort recruitment system: the Duke Integrated Subject Cohort and Enrollment Research Network (DISCERN).

Authors:  Jeffrey M Ferranti; William Gilbert; Jonathan McCall; Howard Shang; Tanya Barros; Monica M Horvath
Journal:  J Am Med Inform Assoc       Date:  2011-09-23       Impact factor: 4.497

2.  Using real-time alerts for clinical trials: Identifying potential study subjects.

Authors:  E Chow; M Zuberi; R Seto; S Hota; E N Fish; D Morra
Journal:  Appl Clin Inform       Date:  2011-11-16       Impact factor: 2.342

3.  The Health Informatics Trial Enhancement Project (HITE): Using routinely collected primary care data to identify potential participants for a depression trial.

Authors:  Joanna McGregor; Caroline Brooks; Padmaja Chalasani; Jude Chukwuma; Hayley Hutchings; Ronan A Lyons; Keith Lloyd
Journal:  Trials       Date:  2010-04-15       Impact factor: 2.279

4.  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

5.  Protocol for a population-based ankylosing spondylitis (PAS) cohort in Wales.

Authors:  Mark D Atkinson; Sinead Brophy; Stefan Siebert; Mike B Gravenor; Ceri Phillips; David V Ford; Kerina H Jones; Ronan A Lyons
Journal:  BMC Musculoskelet Disord       Date:  2010-09-01       Impact factor: 2.362

Review 6.  A review of approaches to identifying patient phenotype cohorts using electronic health records.

Authors:  Chaitanya Shivade; Preethi Raghavan; Eric Fosler-Lussier; Peter J Embi; Noemie Elhadad; Stephen B Johnson; Albert M Lai
Journal:  J Am Med Inform Assoc       Date:  2013-11-07       Impact factor: 4.497

7.  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

8.  Obesity in pregnancy: a retrospective prevalence-based study on health service utilisation and costs on the NHS.

Authors:  Kelly L Morgan; Muhammad A Rahman; Steven Macey; Mark D Atkinson; Rebecca A Hill; Ashrafunnesa Khanom; Shantini Paranjothy; Muhammad Jami Husain; Sinead T Brophy
Journal:  BMJ Open       Date:  2014-02-27       Impact factor: 2.692

9.  A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: a privacy-protecting remote access system for health-related research and evaluation.

Authors:  Kerina H Jones; David V Ford; Chris Jones; Rohan Dsilva; Simon Thompson; Caroline J Brooks; Martin L Heaven; Daniel S Thayer; Cynthia L McNerney; Ronan A Lyons
Journal:  J Biomed Inform       Date:  2014-01-15       Impact factor: 6.317

10.  Suicide Information Database-Cymru: a protocol for a population-based, routinely collected data linkage study to explore risks and patterns of healthcare contact prior to suicide to identify opportunities for intervention.

Authors:  Ann John; M Dennis; L Kosnes; D Gunnell; J Scourfield; D V Ford; K Lloyd
Journal:  BMJ Open       Date:  2014-11-25       Impact factor: 2.692
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