Literature DB >> 12869337

Secondary use of personal data for health and health services research: why identifiable data are essential.

Nick Black1.   

Abstract

Databases provide a powerful and essential resource for health and health services research. There are seven reasons why the identification of individuals may be needed: linkage within a database; linkage between databases; ensuring comparisons are meaningful; ensuring completeness of recruitment; investigation of social factors; analysis of trends over time; and assessing the applicability of primary research findings. Examples of recent British research studies for which identifiable data were essential are described to illustrate six research applications: to understand the natural history and development of disease; to identify causes of disease; to evaluate health care interventions; to assess equity of care; to describe trends in health care utilisation; and to ensure the methodological rigour of research. Given the benefits to the public of such research activities, methods need to be found to ensure the continuation of such research while meeting legitimate concerns about individual privacy and confidentiality.

Mesh:

Year:  2003        PMID: 12869337     DOI: 10.1258/135581903766468873

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  8 in total

1.  Cross sectional survey of multicentre clinical databases in the United Kingdom.

Authors:  Nick Black; Marian Barker; Mary Payne
Journal:  BMJ       Date:  2004-06-19

2.  Congenital heart disease.

Authors:  Tom Treasure
Journal:  BMJ       Date:  2004-03-13

3.  Meeting the privacy requirements for the development of a multi-centre patient registry in Canada: the Rick Hansen Spinal Cord Injury Registry.

Authors:  Vanessa K Noonan; Nancy P Thorogood; Phalgun B Joshi; Michael G Fehlings; B Catharine Craven; Gary Linassi; Daryl R Fourney; Brian K Kwon; Christopher S Bailey; Eve C Tsai; Brian M Drew; Henry Ahn; Deborah Tsui; Marcel F Dvorak
Journal:  Healthc Policy       Date:  2013-05

4.  Development of a relational database to capture and merge clinical history with the quantitative results of radionuclide renography.

Authors:  Russell D Folks; Bital Savir-Baruch; Ernest V Garcia; Liudmila Verdes; Andrew T Taylor
Journal:  J Nucl Med Technol       Date:  2012-09-25

5.  The SAIL databank: linking multiple health and social care datasets.

Authors:  Ronan A Lyons; Kerina H Jones; Gareth John; Caroline J Brooks; Jean-Philippe Verplancke; David V Ford; Ginevra Brown; Ken Leake
Journal:  BMC Med Inform Decis Mak       Date:  2009-01-16       Impact factor: 2.796

Review 6.  Views of healthcare professionals to linkage of routinely collected healthcare data: a systematic literature review.

Authors:  Y M Hopf; C Bond; J Francis; J Haughney; P J Helms
Journal:  J Am Med Inform Assoc       Date:  2013-05-28       Impact factor: 4.497

7.  Evaluating bias due to data linkage error in electronic healthcare records.

Authors:  Katie Harron; Angie Wade; Ruth Gilbert; Berit Muller-Pebody; Harvey Goldstein
Journal:  BMC Med Res Methodol       Date:  2014-03-05       Impact factor: 4.615

8.  Linking NHS data for pediatric pharmacovigilance: Results of a Delphi survey.

Authors:  Y M Hopf; J Francis; P J Helms; J Haughney; C Bond
Journal:  Res Social Adm Pharm       Date:  2015-07-02
  8 in total

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