Literature DB >> 15285723

Using patient-identifiable data for epidemiological research.

M Malfroy1, C A Llewelyn, T Johnson, L M Williamson.   

Abstract

The use of patient-identifiable data in epidemiological research is subject to increasingly complex regulation. This article reports the experience of a research team in setting up the Epidemiology and Survival of Transfusion Recipients (EASTR) study in which patient-identifiable information was needed in order to link data from two sources for analysis and obtain long-term survival patterns of transfusion recipients. The process of establishing the study involved obtaining separate ethical, research and development and data protection approval, including application to the newly formed Patient Information Advisory Group, set up under Section 60 of the Health and Social Care Act, 2001. We describe the high cost in administrative procedures and time now necessary to gain statutory approval before such a study can begin, which has been the result of recent legislation. Issues arising from our experience are discussed.

Entities:  

Keywords:  Biomedical and Behavioral Research; Legal Approach

Mesh:

Year:  2004        PMID: 15285723     DOI: 10.1111/j.0958-7578.2004.00514.x

Source DB:  PubMed          Journal:  Transfus Med        ISSN: 0958-7578            Impact factor:   2.019


  2 in total

1.  DataSHIELD: taking the analysis to the data, not the data to the analysis.

Authors:  Amadou Gaye; Yannick Marcon; Julia Isaeva; Philippe LaFlamme; Andrew Turner; Elinor M Jones; Joel Minion; Andrew W Boyd; Christopher J Newby; Marja-Liisa Nuotio; Rebecca Wilson; Oliver Butters; Barnaby Murtagh; Ipek Demir; Dany Doiron; Lisette Giepmans; Susan E Wallace; Isabelle Budin-Ljøsne; Carsten Oliver Schmidt; Paolo Boffetta; Mathieu Boniol; Maria Bota; Kim W Carter; Nick deKlerk; Chris Dibben; Richard W Francis; Tero Hiekkalinna; Kristian Hveem; Kirsti Kvaløy; Sean Millar; Ivan J Perry; Annette Peters; Catherine M Phillips; Frank Popham; Gillian Raab; Eva Reischl; Nuala Sheehan; Melanie Waldenberger; Markus Perola; Edwin van den Heuvel; John Macleod; Bartha M Knoppers; Ronald P Stolk; Isabel Fortier; Jennifer R Harris; Bruce H R Woffenbuttel; Madeleine J Murtagh; Vincent Ferretti; Paul R Burton
Journal:  Int J Epidemiol       Date:  2014-09-26       Impact factor: 7.196

2.  DataSHIELD: resolving a conflict in contemporary bioscience--performing a pooled analysis of individual-level data without sharing the data.

Authors:  Michael Wolfson; Susan E Wallace; Nicholas Masca; Geoff Rowe; Nuala A Sheehan; Vincent Ferretti; Philippe LaFlamme; Martin D Tobin; John Macleod; Julian Little; Isabel Fortier; Bartha M Knoppers; Paul R Burton
Journal:  Int J Epidemiol       Date:  2010-07-14       Impact factor: 7.196

  2 in total

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