Literature DB >> 16392743

Confidentiality and confidence: is data aggregation a means to achieve both?

Nina H Fefferman1, Eileen A O'Neil, Elena N Naumova.   

Abstract

The recent adoption of electronic technologies for use in management of personal health data have been accompanied by a commensurate level of concern about privacy. Public health authorities have been able to continue their full access to personal information, while restricting the information given to academic health researchers through the practice of aggregation. Through this band-aid strategy, there is a very real potential that critical pieces of information are missing for the purposes of research. While this might be a logical sacrifice in order to preserve individual privacy, quantitative analysis of the privacy gained through this method of aggregation shows that little, if any, benefit is achieved. If aggregation were the sole available means to reach the aims of both privacy and research, then further analysis of the practice of aggregation would be unnecessary. Yet suitable privacy protection techniques abound, enabling academic research to progress while adding true protection to individual health information.

Mesh:

Year:  2005        PMID: 16392743     DOI: 10.1057/palgrave.jphp.3200029

Source DB:  PubMed          Journal:  J Public Health Policy        ISSN: 0197-5897            Impact factor:   2.222


  15 in total

Review 1.  Are Publicly Funded Health Databases Geographically Detailed and Timely Enough to Support Patient-Centered Outcomes Research?

Authors:  Soojin Min; Laurie T Martin; Carolyn M Rutter; Thomas W Concannon
Journal:  J Gen Intern Med       Date:  2018-09-20       Impact factor: 5.128

2.  Evaluating predictors of geographic area population size cut-offs to manage re-identification risk.

Authors:  Khaled El Emam; Ann Brown; Philip AbdelMalik
Journal:  J Am Med Inform Assoc       Date:  2008-12-11       Impact factor: 4.497

3.  Geospatial cryptography: enabling researchers to access private, spatially referenced, human subjects data for cancer control and prevention.

Authors:  Geoffrey M Jacquez; Aleksander Essex; Andrew Curtis; Betsy Kohler; Recinda Sherman; Khaled El Emam; Chen Shi; Andy Kaufmann; Linda Beale; Thomas Cusick; Daniel Goldberg; Pierre Goovaerts
Journal:  J Geogr Syst       Date:  2017-05-11

4.  Protecting privacy using k-anonymity.

Authors:  Khaled El Emam; Fida Kamal Dankar
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

5.  Understanding the non-stationary associations between distrust of the health care system, health conditions, and self-rated health in the elderly: a geographically weighted regression approach.

Authors:  Tse-Chuan Yang; Stephen A Matthews
Journal:  Health Place       Date:  2012-01-28       Impact factor: 4.078

6.  A method for managing re-identification risk from small geographic areas in Canada.

Authors:  Khaled El Emam; Ann Brown; Philip AbdelMalik; Angelica Neisa; Mark Walker; Jim Bottomley; Tyson Roffey
Journal:  BMC Med Inform Decis Mak       Date:  2010-04-02       Impact factor: 2.796

Review 7.  Privacy technology to support data sharing for comparative effectiveness research: a systematic review.

Authors:  Xiaoqian Jiang; Anand D Sarwate; Lucila Ohno-Machado
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

8.  Revealing the spatial distribution of a disease while preserving privacy.

Authors:  Shannon C Wieland; Christopher A Cassa; Kenneth D Mandl; Bonnie Berger
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-17       Impact factor: 11.205

9.  Evaluating common de-identification heuristics for personal health information.

Authors:  Khaled El Emam; Sam Jabbouri; Scott Sams; Youenn Drouet; Michael Power
Journal:  J Med Internet Res       Date:  2006-11-21       Impact factor: 5.428

10.  Inaccuracy, uncertainty and the space-time permutation scan statistic.

Authors:  Nicholas Malizia
Journal:  PLoS One       Date:  2013-02-07       Impact factor: 3.240

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